2025-11-12 09:47:23.355 | INFO     | yolox_microbt.core.trainer:before_train:88 - args: Namespace(config='configs.sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb', experiment_name='sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb', name=None, dist_backend='nccl', dist_url=None, batch_size=64, devices=4, exp_file=None, resume=False, ckpt='checkpoint/SA6921/coco_pretrain_185k.pth', start_epoch=None, num_machines=1, machine_rank=0, fp16=False, cache=None, occupy=False, logger='tensorboard', opts=[])
2025-11-12 09:47:23.360 | INFO     | yolox_microbt.core.trainer:before_train:89 - exp value:
╒═══════════════════╤═════════════════════════════════════════════════════════╕
│ keys              │ values                                                  │
╞═══════════════════╪═════════════════════════════════════════════════════════╡
│ seed              │ None                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ output_dir        │ './YOLOX_outputs'                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ print_interval    │ 20                                                      │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ eval_interval     │ 5                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ dataset           │ None                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ num_classes       │ 3                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ depth             │ 1.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ width             │ 1.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ act               │ 'silu'                                                  │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ data_num_workers  │ 2                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ input_size        │ (416, 416)                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ multiscale_range  │ 5                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ data_dir          │ None                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ train_ann         │ 'instances_train2017.json'                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ val_ann           │ 'instances_val2017.json'                                │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ test_ann          │ 'instances_test2017.json'                               │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mosaic_prob       │ 1.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mixup_prob        │ 0.5                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ hsv_prob          │ 0.5                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ flip_prob         │ 0.5                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ degrees           │ 10.0                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ translate         │ 0.1                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mosaic_scale      │ (0.1, 2)                                                │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ enable_mixup      │ True                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mixup_scale       │ (0.5, 1.5)                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ shear             │ 2.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ warmup_epochs     │ 5                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ max_epoch         │ 600                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ warmup_lr         │ 0                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ min_lr_ratio      │ 0.05                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ basic_lr_per_img  │ 0.00015625                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ scheduler         │ 'yoloxwarmcos'                                          │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ no_aug_epochs     │ 200                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ ema               │ False                                                   │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ weight_decay      │ 0.0005                                                  │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ momentum          │ 0.9                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ save_history_ckpt │ True                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ exp_name          │ 'sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb' │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ test_size         │ (416, 416)                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ test_conf         │ 0.01                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ nmsthre           │ 0.65                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ qat_warmup_epoch  │ -1                                                      │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ qat_clib_epoch    │ 1                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ all_reduce_norm   │ True                                                    │
╘═══════════════════╧═════════════════════════════════════════════════════════╛
2025-11-12 09:47:23.397 | INFO     | yolox_microbt.core.trainer:resume_train:326 - loading checkpoint for fine tuning
2025-11-12 09:47:24.197 | INFO     | yolox_microbt.core.trainer:before_train:129 - init prefetcher, this might take one minute or less...
2025-11-12 09:47:27.260 | INFO     | yolox_microbt.core.trainer:before_train:168 - Training start...
2025-11-12 09:47:27.262 | INFO     | yolox_microbt.core.trainer:before_train:169 - 
DistributedDataParallel(
  (module): YOLOXTrainer(
    (yolox): YOLOXDetector(
      (backbone0): MBNetV2Backbone(
        (backbone): Sequential(
          (0): Sequential(
            (0): ConvBnAct(
              (conv): Conv2d(3, 8, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
              (bn): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act): ReLU()
            )
          )
          (1): Sequential(
            (0): DepthwiseSeparableConv(
              (conv_dw): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=8, bias=False)
              (bn1): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_pw): Conv2d(8, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn2): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (2): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(32, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=32, bias=False)
              (bn2): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=32, bias=False)
              (bn2): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (3): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(32, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=32, bias=False)
              (bn2): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(32, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(10, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(10, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(40, 40, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=40, bias=False)
              (bn2): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(40, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(10, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (4): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(10, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(40, 40, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=40, bias=False)
              (bn2): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(40, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False)
              (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (2): InvertedResidual(
              (conv_pw): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False)
              (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (5): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False)
              (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(128, 38, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(38, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (6): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(38, 152, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(152, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(152, 152, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=152, bias=False)
              (bn2): BatchNorm2d(152, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(152, 42, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(42, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (7): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(42, 168, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(168, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(168, 168, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=168, bias=False)
              (bn2): BatchNorm2d(168, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(168, 80, kernel_size=(1, 1), stride=(1, 1), groups=2, bias=False)
              (bn3): BatchNorm2d(80, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(80, 320, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=320, bias=False)
              (bn2): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(320, 80, kernel_size=(1, 1), stride=(1, 1), groups=2, bias=False)
              (bn3): BatchNorm2d(80, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (8): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(80, 320, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=320, bias=False)
              (bn2): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(320, 128, kernel_size=(1, 1), stride=(1, 1), groups=2, bias=False)
              (bn3): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
        )
      )
      (head0): YOLOXHead(
        (shared_layer_8): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(10, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
          (conv1): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64)
            (act0): ReLU()
          )
          (conv2): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
        )
        (layer_8_obj): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_8_cls): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 3, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_8_box): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (shared_layer_16): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(42, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
          (conv1): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64)
            (act0): ReLU()
          )
          (conv2): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
        )
        (layer_16_obj): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_16_cls): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 3, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_16_box): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (shared_layer_32): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
          (conv1): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64)
            (act0): ReLU()
          )
          (conv2): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
        )
        (layer_32_obj): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_32_cls): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 3, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_32_box): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))
          )
        )
      )
    )
    (loss): YOLOXLoss(
      (l1_loss): L1Loss()
      (bcewithlog_loss): BCEWithLogitsLoss()
      (iou_loss): IOUloss()
    )
  )
)
2025-11-12 09:47:27.263 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch1
2025-11-12 09:47:27.264 | INFO     | yolox_microbt.core.trainer:before_epoch:204 - --->enable mosaic aug for quantization training!
2025-11-12 09:47:31.608 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 20/129, gpu mem: 1313Mb, mem: 93.8Gb, iter_time: 0.203s, data_time: 0.005s, total_loss: 8.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 1.2, lr: 9.615e-06, size: 320, ETA: 4:21:26
2025-11-12 09:47:35.185 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 40/129, gpu mem: 1482Mb, mem: 93.7Gb, iter_time: 0.161s, data_time: 0.003s, total_loss: 8.3, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 4.1, cls_loss: 1.0, lr: 3.846e-05, size: 320, ETA: 3:54:45
2025-11-12 09:47:38.723 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 60/129, gpu mem: 1482Mb, mem: 93.7Gb, iter_time: 0.160s, data_time: 0.002s, total_loss: 7.6, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 8.653e-05, size: 256, ETA: 3:45:05
2025-11-12 09:47:42.161 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 80/129, gpu mem: 1482Mb, mem: 93.7Gb, iter_time: 0.161s, data_time: 0.005s, total_loss: 7.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 1.538e-04, size: 384, ETA: 3:40:43
2025-11-12 09:47:45.548 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 100/129, gpu mem: 1482Mb, mem: 93.8Gb, iter_time: 0.160s, data_time: 0.009s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 2.404e-04, size: 256, ETA: 3:37:37
2025-11-12 09:47:48.998 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 120/129, gpu mem: 1482Mb, mem: 93.8Gb, iter_time: 0.162s, data_time: 0.012s, total_loss: 7.8, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 3.461e-04, size: 256, ETA: 3:36:04
2025-11-12 09:47:50.446 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:47:50.520 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch2
2025-11-12 09:47:54.026 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 20/129, gpu mem: 2568Mb, mem: 93.7Gb, iter_time: 0.167s, data_time: 0.029s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 5.336e-04, size: 480, ETA: 3:35:12
2025-11-12 09:47:57.452 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 40/129, gpu mem: 2568Mb, mem: 93.7Gb, iter_time: 0.161s, data_time: 0.040s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 6.865e-04, size: 352, ETA: 3:34:13
2025-11-12 09:48:00.942 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.171s, data_time: 0.043s, total_loss: 8.4, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 4.1, cls_loss: 1.0, lr: 8.586e-04, size: 576, ETA: 3:34:50
2025-11-12 09:48:01.414 | INFO     | yolox_microbt.core.trainer:after_train:172 - Training of experiment is done and the best AP is 0.00
2025-11-12 09:48:56.399 | INFO     | yolox_microbt.core.trainer:before_train:88 - args: Namespace(config='configs.sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb', experiment_name='sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb', name=None, dist_backend='nccl', dist_url=None, batch_size=64, devices=4, exp_file=None, resume=False, ckpt='checkpoint/SA6921/coco_pretrain_185k.pth', start_epoch=None, num_machines=1, machine_rank=0, fp16=False, cache=None, occupy=False, logger='tensorboard', opts=[])
2025-11-12 09:48:56.403 | INFO     | yolox_microbt.core.trainer:before_train:89 - exp value:
╒═══════════════════╤═════════════════════════════════════════════════════════╕
│ keys              │ values                                                  │
╞═══════════════════╪═════════════════════════════════════════════════════════╡
│ seed              │ None                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ output_dir        │ './YOLOX_outputs'                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ print_interval    │ 20                                                      │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ eval_interval     │ 5                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ dataset           │ None                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ num_classes       │ 3                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ depth             │ 1.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ width             │ 1.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ act               │ 'silu'                                                  │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ data_num_workers  │ 2                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ input_size        │ (416, 416)                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ multiscale_range  │ 5                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ data_dir          │ None                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ train_ann         │ 'instances_train2017.json'                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ val_ann           │ 'instances_val2017.json'                                │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ test_ann          │ 'instances_test2017.json'                               │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mosaic_prob       │ 1.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mixup_prob        │ 0.5                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ hsv_prob          │ 0.5                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ flip_prob         │ 0.5                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ degrees           │ 10.0                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ translate         │ 0.1                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mosaic_scale      │ (0.1, 2)                                                │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ enable_mixup      │ True                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ mixup_scale       │ (0.5, 1.5)                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ shear             │ 2.0                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ warmup_epochs     │ 5                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ max_epoch         │ 600                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ warmup_lr         │ 0                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ min_lr_ratio      │ 0.05                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ basic_lr_per_img  │ 0.00015625                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ scheduler         │ 'yoloxwarmcos'                                          │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ no_aug_epochs     │ 200                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ ema               │ False                                                   │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ weight_decay      │ 0.0005                                                  │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ momentum          │ 0.9                                                     │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ save_history_ckpt │ True                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ exp_name          │ 'sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb' │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ test_size         │ (416, 416)                                              │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ test_conf         │ 0.01                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ nmsthre           │ 0.65                                                    │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ qat_warmup_epoch  │ -1                                                      │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ qat_clib_epoch    │ 1                                                       │
├───────────────────┼─────────────────────────────────────────────────────────┤
│ all_reduce_norm   │ True                                                    │
╘═══════════════════╧═════════════════════════════════════════════════════════╛
2025-11-12 09:48:56.438 | INFO     | yolox_microbt.core.trainer:resume_train:326 - loading checkpoint for fine tuning
2025-11-12 09:48:57.209 | INFO     | yolox_microbt.core.trainer:before_train:129 - init prefetcher, this might take one minute or less...
2025-11-12 09:49:00.221 | INFO     | yolox_microbt.core.trainer:before_train:168 - Training start...
2025-11-12 09:49:00.223 | INFO     | yolox_microbt.core.trainer:before_train:169 - 
DistributedDataParallel(
  (module): YOLOXTrainer(
    (yolox): YOLOXDetector(
      (backbone0): MBNetV2Backbone(
        (backbone): Sequential(
          (0): Sequential(
            (0): ConvBnAct(
              (conv): Conv2d(3, 8, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
              (bn): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act): ReLU()
            )
          )
          (1): Sequential(
            (0): DepthwiseSeparableConv(
              (conv_dw): Conv2d(8, 8, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=8, bias=False)
              (bn1): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_pw): Conv2d(8, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn2): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (2): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(32, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=32, bias=False)
              (bn2): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=32, bias=False)
              (bn2): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(32, 8, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(8, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (3): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(8, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(32, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=32, bias=False)
              (bn2): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(32, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(10, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(10, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(40, 40, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=40, bias=False)
              (bn2): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(40, 10, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(10, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (4): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(10, 40, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(40, 40, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=40, bias=False)
              (bn2): BatchNorm2d(40, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(40, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False)
              (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (2): InvertedResidual(
              (conv_pw): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False)
              (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(128, 32, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(32, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (5): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(32, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=128, bias=False)
              (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(128, 38, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(38, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (6): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(38, 152, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(152, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(152, 152, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=152, bias=False)
              (bn2): BatchNorm2d(152, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(152, 42, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn3): BatchNorm2d(42, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (7): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(42, 168, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(168, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(168, 168, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), groups=168, bias=False)
              (bn2): BatchNorm2d(168, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(168, 80, kernel_size=(1, 1), stride=(1, 1), groups=2, bias=False)
              (bn3): BatchNorm2d(80, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
            (1): InvertedResidual(
              (conv_pw): Conv2d(80, 320, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=320, bias=False)
              (bn2): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(320, 80, kernel_size=(1, 1), stride=(1, 1), groups=2, bias=False)
              (bn3): BatchNorm2d(80, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
          (8): Sequential(
            (0): InvertedResidual(
              (conv_pw): Conv2d(80, 320, kernel_size=(1, 1), stride=(1, 1), bias=False)
              (bn1): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act1): ReLU()
              (conv_dw): Conv2d(320, 320, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=320, bias=False)
              (bn2): BatchNorm2d(320, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
              (act2): ReLU()
              (conv_pwl): Conv2d(320, 128, kernel_size=(1, 1), stride=(1, 1), groups=2, bias=False)
              (bn3): BatchNorm2d(128, eps=1e-05, momentum=0.03, affine=True, track_running_stats=True)
            )
          )
        )
      )
      (head0): YOLOXHead(
        (shared_layer_8): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(10, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
          (conv1): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64)
            (act0): ReLU()
          )
          (conv2): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
        )
        (layer_8_obj): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_8_cls): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 3, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_8_box): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (shared_layer_16): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(42, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
          (conv1): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64)
            (act0): ReLU()
          )
          (conv2): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
        )
        (layer_16_obj): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_16_cls): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 3, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_16_box): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (shared_layer_32): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(128, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
          (conv1): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), groups=64)
            (act0): ReLU()
          )
          (conv2): ConvBlock(
            (conv0): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1))
            (act0): ReLU()
          )
        )
        (layer_32_obj): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 1, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_32_cls): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 3, kernel_size=(1, 1), stride=(1, 1))
          )
        )
        (layer_32_box): Compose(
          (conv0): ConvBlock(
            (conv0): Conv2d(64, 4, kernel_size=(1, 1), stride=(1, 1))
          )
        )
      )
    )
    (loss): YOLOXLoss(
      (l1_loss): L1Loss()
      (bcewithlog_loss): BCEWithLogitsLoss()
      (iou_loss): IOUloss()
    )
  )
)
2025-11-12 09:49:00.223 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch1
2025-11-12 09:49:00.224 | INFO     | yolox_microbt.core.trainer:before_epoch:204 - --->enable mosaic aug for quantization training!
2025-11-12 09:49:04.669 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 20/129, gpu mem: 1670Mb, mem: 93.7Gb, iter_time: 0.207s, data_time: 0.028s, total_loss: 8.8, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 4.5, cls_loss: 1.0, lr: 9.615e-06, size: 480, ETA: 4:27:12
2025-11-12 09:49:08.296 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 40/129, gpu mem: 1870Mb, mem: 93.7Gb, iter_time: 0.178s, data_time: 0.063s, total_loss: 7.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 0.8, lr: 3.846e-05, size: 512, ETA: 4:08:04
2025-11-12 09:49:11.887 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 60/129, gpu mem: 1870Mb, mem: 93.7Gb, iter_time: 0.178s, data_time: 0.073s, total_loss: 8.1, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 4.1, cls_loss: 0.9, lr: 8.653e-05, size: 416, ETA: 4:01:40
2025-11-12 09:49:15.536 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 80/129, gpu mem: 2569Mb, mem: 93.7Gb, iter_time: 0.180s, data_time: 0.053s, total_loss: 7.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 4.0, cls_loss: 0.8, lr: 1.538e-04, size: 544, ETA: 3:59:19
2025-11-12 09:49:19.303 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.173s, data_time: 0.048s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 2.404e-04, size: 448, ETA: 3:56:01
2025-11-12 09:49:22.934 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 1/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.168s, data_time: 0.065s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 3.461e-04, size: 416, ETA: 3:52:47
2025-11-12 09:49:24.541 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:49:24.569 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch2
2025-11-12 09:49:28.057 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.170s, data_time: 0.051s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.7, lr: 5.336e-04, size: 384, ETA: 3:50:30
2025-11-12 09:49:31.565 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.171s, data_time: 0.069s, total_loss: 7.8, iou_loss: 3.5, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 6.865e-04, size: 320, ETA: 3:49:17
2025-11-12 09:49:35.164 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 8.586e-04, size: 416, ETA: 3:47:49
2025-11-12 09:49:38.800 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.163s, data_time: 0.038s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 1.050e-03, size: 480, ETA: 3:46:01
2025-11-12 09:49:42.286 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.159s, data_time: 0.009s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 1.261e-03, size: 480, ETA: 3:44:06
2025-11-12 09:49:45.778 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 2/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.159s, data_time: 0.025s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 1.490e-03, size: 576, ETA: 3:42:25
2025-11-12 09:49:47.292 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:49:47.469 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch3
2025-11-12 09:49:50.950 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 3/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.162s, data_time: 0.069s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.858e-03, size: 384, ETA: 3:40:25
2025-11-12 09:49:54.544 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 3/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.157s, data_time: 0.032s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 2.135e-03, size: 544, ETA: 3:39:05
2025-11-12 09:49:57.917 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 3/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.161s, data_time: 0.047s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 2.431e-03, size: 544, ETA: 3:38:16
2025-11-12 09:50:01.484 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 3/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.167s, data_time: 0.064s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.746e-03, size: 512, ETA: 3:37:59
2025-11-12 09:50:04.976 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 3/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.081e-03, size: 448, ETA: 3:37:43
2025-11-12 09:50:08.512 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 3/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 7.2, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 3.435e-03, size: 288, ETA: 3:37:59
2025-11-12 09:50:10.140 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:50:10.168 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch4
2025-11-12 09:50:13.753 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 4/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.159s, data_time: 0.015s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 3.982e-03, size: 384, ETA: 3:37:24
2025-11-12 09:50:17.346 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 4/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.164s, data_time: 0.025s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.383e-03, size: 384, ETA: 3:37:01
2025-11-12 09:50:20.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 4/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.160s, data_time: 0.008s, total_loss: 7.9, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 0.9, lr: 4.803e-03, size: 480, ETA: 3:36:26
2025-11-12 09:50:24.397 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 4/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.168s, data_time: 0.069s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.242e-03, size: 448, ETA: 3:36:20
2025-11-12 09:50:27.988 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 4/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.175s, data_time: 0.063s, total_loss: 7.8, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.1, lr: 5.701e-03, size: 256, ETA: 3:36:37
2025-11-12 09:50:31.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 4/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.175s, data_time: 0.002s, total_loss: 7.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 0.9, lr: 6.179e-03, size: 544, ETA: 3:36:51
2025-11-12 09:50:33.350 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:50:33.478 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch5
2025-11-12 09:50:37.084 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 5/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.157s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 6.906e-03, size: 512, ETA: 3:35:47
2025-11-12 09:50:40.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 5/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.158s, data_time: 0.002s, total_loss: 8.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 4.1, cls_loss: 1.1, lr: 7.431e-03, size: 352, ETA: 3:35:16
2025-11-12 09:50:44.372 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 5/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.150s, data_time: 0.002s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 7.975e-03, size: 384, ETA: 3:34:25
2025-11-12 09:50:47.976 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 5/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.157s, data_time: 0.002s, total_loss: 7.6, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 8.538e-03, size: 256, ETA: 3:33:54
2025-11-12 09:50:51.628 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 5/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.155s, data_time: 0.002s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 9.121e-03, size: 256, ETA: 3:33:20
2025-11-12 09:50:55.369 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 5/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.156s, data_time: 0.002s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.723e-03, size: 448, ETA: 3:32:51
2025-11-12 09:50:56.865 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:51:01.865 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 09:51:03.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 09:51:04.842 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.2426
2025-11-12 09:51:05.081 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.2580
2025-11-12 09:51:05.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.1775
2025-11-12 09:51:05.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.2260
2025-11-12 09:51:05.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 09:51:05.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 09:51:05.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.243
2025-11-12 09:51:05.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.258
2025-11-12 09:51:05.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.177
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.226
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 09:51:05.131 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 09:51:06.509 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 09:51:07.954 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 09:51:09.347 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 09:51:10.729 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 09:51:12.120 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 09:51:13.554 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 09:51:14.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 09:51:16.318 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 09:51:17.750 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 09:51:17.750 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.06
2025-11-12 09:51:17.750 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.23
2025-11-12 09:51:17.750 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 09:51:17.759 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.75 ms, Average inference time: 1.40 ms

2025-11-12 09:51:17.762 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:51:17.784 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:51:17.811 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch6
2025-11-12 09:51:21.098 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 6/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.157s, data_time: 0.029s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.000e-02, size: 288, ETA: 3:32:11
2025-11-12 09:51:24.706 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 6/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.165s, data_time: 0.002s, total_loss: 7.6, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 1.000e-02, size: 352, ETA: 3:32:06
2025-11-12 09:51:28.416 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 6/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.167s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.000e-02, size: 544, ETA: 3:32:05
2025-11-12 09:51:31.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 6/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.163s, data_time: 0.002s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.000e-02, size: 256, ETA: 3:31:55
2025-11-12 09:51:35.538 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 6/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.161s, data_time: 0.004s, total_loss: 7.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.3, lr: 1.000e-02, size: 256, ETA: 3:31:42
2025-11-12 09:51:39.325 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 6/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.168s, data_time: 0.002s, total_loss: 7.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.1, lr: 1.000e-02, size: 320, ETA: 3:31:44
2025-11-12 09:51:40.852 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:51:41.026 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch7
2025-11-12 09:51:44.643 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 7/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.154s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.000e-02, size: 384, ETA: 3:31:03
2025-11-12 09:51:48.237 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 7/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.151s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.000e-02, size: 480, ETA: 3:30:33
2025-11-12 09:51:51.830 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 7/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.157s, data_time: 0.009s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 1.000e-02, size: 576, ETA: 3:30:15
2025-11-12 09:51:55.394 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 7/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.158s, data_time: 0.012s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.000e-02, size: 384, ETA: 3:29:59
2025-11-12 09:51:58.922 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 7/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.157s, data_time: 0.013s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.000e-02, size: 480, ETA: 3:29:41
2025-11-12 09:52:02.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 7/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.7Gb, iter_time: 0.157s, data_time: 0.045s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.999e-03, size: 320, ETA: 3:29:26
2025-11-12 09:52:03.997 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:52:04.027 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch8
2025-11-12 09:52:07.579 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 8/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.999e-03, size: 480, ETA: 3:29:37
2025-11-12 09:52:10.954 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 8/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.168s, data_time: 0.070s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.999e-03, size: 320, ETA: 3:29:39
2025-11-12 09:52:14.603 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 8/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.181s, data_time: 0.081s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.999e-03, size: 480, ETA: 3:30:03
2025-11-12 09:52:18.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 8/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.166s, data_time: 0.083s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.999e-03, size: 512, ETA: 3:30:01
2025-11-12 09:52:21.459 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 8/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.999e-03, size: 384, ETA: 3:30:09
2025-11-12 09:52:24.925 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 8/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.168s, data_time: 0.074s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.1, lr: 9.999e-03, size: 352, ETA: 3:30:09
2025-11-12 09:52:26.508 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:52:26.536 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch9
2025-11-12 09:52:30.072 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 9/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.172s, data_time: 0.070s, total_loss: 8.4, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.9, cls_loss: 1.0, lr: 9.999e-03, size: 288, ETA: 3:30:21
2025-11-12 09:52:33.507 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 9/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.154s, data_time: 0.060s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.998e-03, size: 384, ETA: 3:30:02
2025-11-12 09:52:37.069 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 9/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.163s, data_time: 0.066s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 9.998e-03, size: 512, ETA: 3:29:56
2025-11-12 09:52:40.594 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 9/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.156s, data_time: 0.044s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.998e-03, size: 384, ETA: 3:29:39
2025-11-12 09:52:44.058 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 9/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.159s, data_time: 0.060s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.998e-03, size: 448, ETA: 3:29:28
2025-11-12 09:52:47.661 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 9/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.177s, data_time: 0.085s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.998e-03, size: 384, ETA: 3:29:41
2025-11-12 09:52:49.333 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:52:49.362 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch10
2025-11-12 09:52:52.841 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 10/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.163s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.997e-03, size: 416, ETA: 3:29:37
2025-11-12 09:52:56.453 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 10/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.164s, data_time: 0.048s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.997e-03, size: 576, ETA: 3:29:33
2025-11-12 09:53:00.047 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 10/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.164s, data_time: 0.011s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.1, lr: 9.997e-03, size: 448, ETA: 3:29:28
2025-11-12 09:53:03.720 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 10/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.166s, data_time: 0.002s, total_loss: 8.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 4.6, cls_loss: 0.8, lr: 9.997e-03, size: 544, ETA: 3:29:26
2025-11-12 09:53:07.352 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 10/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.163s, data_time: 0.002s, total_loss: 7.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.9, cls_loss: 0.9, lr: 9.997e-03, size: 512, ETA: 3:29:19
2025-11-12 09:53:10.870 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 10/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.156s, data_time: 0.003s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.996e-03, size: 352, ETA: 3:29:06
2025-11-12 09:53:12.429 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:53:17.287 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 09:53:18.937 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 09:53:19.922 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4408
2025-11-12 09:53:20.179 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3214
2025-11-12 09:53:20.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2357
2025-11-12 09:53:20.237 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3326
2025-11-12 09:53:20.237 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 09:53:20.237 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.441
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.321
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.236
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.333
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 09:53:20.238 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 09:53:20.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 09:53:20.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 09:53:20.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 09:53:20.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 09:53:21.488 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 09:53:22.739 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 09:53:23.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 09:53:25.228 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 09:53:26.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 09:53:27.767 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 09:53:29.037 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 09:53:30.292 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 09:53:31.565 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 09:53:31.565 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.16
2025-11-12 09:53:31.565 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.33
2025-11-12 09:53:31.565 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 09:53:31.573 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.69 ms, Average inference time: 1.34 ms

2025-11-12 09:53:31.574 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:53:31.598 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:53:31.627 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch11
2025-11-12 09:53:34.715 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 11/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.153s, data_time: 0.059s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.996e-03, size: 320, ETA: 3:28:43
2025-11-12 09:53:38.399 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 11/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.178s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.996e-03, size: 384, ETA: 3:28:55
2025-11-12 09:53:41.857 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 11/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 6.8, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.996e-03, size: 256, ETA: 3:28:59
2025-11-12 09:53:45.510 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 11/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.180s, data_time: 0.088s, total_loss: 7.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.1, lr: 9.995e-03, size: 480, ETA: 3:29:13
2025-11-12 09:53:48.989 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 11/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.995e-03, size: 480, ETA: 3:29:16
2025-11-12 09:53:52.568 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 11/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.995e-03, size: 288, ETA: 3:29:25
2025-11-12 09:53:54.167 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:53:54.201 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch12
2025-11-12 09:53:57.858 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 12/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.170s, data_time: 0.045s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.994e-03, size: 480, ETA: 3:29:31
2025-11-12 09:54:01.482 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 12/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.165s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.994e-03, size: 512, ETA: 3:29:27
2025-11-12 09:54:05.006 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 12/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.157s, data_time: 0.002s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.994e-03, size: 512, ETA: 3:29:15
2025-11-12 09:54:08.707 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 12/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.164s, data_time: 0.003s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.993e-03, size: 320, ETA: 3:29:10
2025-11-12 09:54:12.312 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 12/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.162s, data_time: 0.002s, total_loss: 7.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.993e-03, size: 576, ETA: 3:29:03
2025-11-12 09:54:15.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 12/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.167s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.993e-03, size: 448, ETA: 3:29:01
2025-11-12 09:54:17.466 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:54:17.657 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch13
2025-11-12 09:54:21.103 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 13/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.152s, data_time: 0.003s, total_loss: 7.4, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 9.992e-03, size: 320, ETA: 3:28:36
2025-11-12 09:54:24.587 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 13/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.152s, data_time: 0.017s, total_loss: 7.9, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.1, lr: 9.992e-03, size: 448, ETA: 3:28:20
2025-11-12 09:54:28.125 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 13/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.161s, data_time: 0.067s, total_loss: 6.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.992e-03, size: 256, ETA: 3:28:13
2025-11-12 09:54:31.623 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 13/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.169s, data_time: 0.077s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.991e-03, size: 320, ETA: 3:28:13
2025-11-12 09:54:35.267 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 13/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.181s, data_time: 0.085s, total_loss: 7.5, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.991e-03, size: 320, ETA: 3:28:24
2025-11-12 09:54:38.701 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 13/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.991e-03, size: 384, ETA: 3:28:26
2025-11-12 09:54:40.276 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:54:40.304 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch14
2025-11-12 09:54:43.772 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 14/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.990e-03, size: 416, ETA: 3:28:30
2025-11-12 09:54:47.347 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 14/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 6.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.7, lr: 9.990e-03, size: 416, ETA: 3:28:36
2025-11-12 09:54:50.878 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 14/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.989e-03, size: 448, ETA: 3:28:36
2025-11-12 09:54:54.488 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 14/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.162s, data_time: 0.027s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.989e-03, size: 448, ETA: 3:28:30
2025-11-12 09:54:58.220 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 14/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.172s, data_time: 0.004s, total_loss: 7.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.988e-03, size: 544, ETA: 3:28:32
2025-11-12 09:55:01.859 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 14/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.166s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.988e-03, size: 544, ETA: 3:28:29
2025-11-12 09:55:03.371 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:55:03.518 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch15
2025-11-12 09:55:07.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 15/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.154s, data_time: 0.002s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.987e-03, size: 384, ETA: 3:28:10
2025-11-12 09:55:10.592 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 15/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.156s, data_time: 0.017s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.987e-03, size: 576, ETA: 3:27:58
2025-11-12 09:55:14.285 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 15/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.8Gb, iter_time: 0.156s, data_time: 0.021s, total_loss: 7.4, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.987e-03, size: 320, ETA: 3:27:48
2025-11-12 09:55:17.778 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 15/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.153s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.986e-03, size: 480, ETA: 3:27:35
2025-11-12 09:55:21.371 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 15/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.151s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.986e-03, size: 320, ETA: 3:27:20
2025-11-12 09:55:25.053 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 15/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.158s, data_time: 0.002s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.985e-03, size: 480, ETA: 3:27:12
2025-11-12 09:55:26.438 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:55:31.296 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 09:55:36.664 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 09:55:39.718 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4277
2025-11-12 09:55:40.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3836
2025-11-12 09:55:40.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2228
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3447
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.428
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.384
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.223
2025-11-12 09:55:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.345
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 09:55:40.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 09:55:44.903 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 09:55:49.015 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 09:55:53.111 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 09:55:57.265 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 09:56:01.351 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 09:56:05.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 09:56:09.607 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 09:56:13.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 09:56:17.807 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 09:56:17.808 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.15
2025-11-12 09:56:17.809 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.34
2025-11-12 09:56:17.809 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 09:56:17.844 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.71 ms, Average inference time: 1.36 ms

2025-11-12 09:56:17.845 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:56:17.869 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:56:17.934 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch16
2025-11-12 09:56:21.065 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 16/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.155s, data_time: 0.060s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.985e-03, size: 416, ETA: 3:26:51
2025-11-12 09:56:24.633 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 16/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.178s, data_time: 0.080s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.984e-03, size: 448, ETA: 3:26:57
2025-11-12 09:56:28.072 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 16/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.171s, data_time: 0.084s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.984e-03, size: 352, ETA: 3:26:59
2025-11-12 09:56:31.542 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 16/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.983e-03, size: 320, ETA: 3:27:02
2025-11-12 09:56:35.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 16/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.174s, data_time: 0.071s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.983e-03, size: 544, ETA: 3:27:05
2025-11-12 09:56:38.756 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 16/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.164s, data_time: 0.011s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.982e-03, size: 512, ETA: 3:27:01
2025-11-12 09:56:40.235 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:56:40.398 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch17
2025-11-12 09:56:43.918 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 17/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.150s, data_time: 0.007s, total_loss: 8.0, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 1.0, lr: 9.981e-03, size: 576, ETA: 3:26:40
2025-11-12 09:56:47.535 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 17/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.159s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.1, lr: 9.981e-03, size: 256, ETA: 3:26:33
2025-11-12 09:56:51.126 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 17/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.155s, data_time: 0.004s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.980e-03, size: 288, ETA: 3:26:23
2025-11-12 09:56:54.618 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 17/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.154s, data_time: 0.009s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.980e-03, size: 352, ETA: 3:26:12
2025-11-12 09:56:58.282 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 17/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.007s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.979e-03, size: 416, ETA: 3:26:05
2025-11-12 09:57:01.820 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 17/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.154s, data_time: 0.005s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.979e-03, size: 256, ETA: 3:25:55
2025-11-12 09:57:03.367 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:57:03.397 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch18
2025-11-12 09:57:06.989 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 18/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.163s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.978e-03, size: 352, ETA: 3:25:45
2025-11-12 09:57:10.644 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 18/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.164s, data_time: 0.006s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.977e-03, size: 576, ETA: 3:25:41
2025-11-12 09:57:14.117 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 18/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.156s, data_time: 0.003s, total_loss: 7.4, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.977e-03, size: 288, ETA: 3:25:32
2025-11-12 09:57:17.549 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 18/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.158s, data_time: 0.006s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.976e-03, size: 512, ETA: 3:25:25
2025-11-12 09:57:21.076 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 18/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.160s, data_time: 0.006s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.976e-03, size: 416, ETA: 3:25:19
2025-11-12 09:57:24.510 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 18/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.016s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.975e-03, size: 320, ETA: 3:25:12
2025-11-12 09:57:26.072 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:57:26.123 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch19
2025-11-12 09:57:29.507 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 19/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.056s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 9.974e-03, size: 576, ETA: 3:25:11
2025-11-12 09:57:33.085 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 19/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.177s, data_time: 0.028s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.973e-03, size: 576, ETA: 3:25:16
2025-11-12 09:57:36.655 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 19/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.177s, data_time: 0.003s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.973e-03, size: 544, ETA: 3:25:21
2025-11-12 09:57:40.140 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 19/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.173s, data_time: 0.065s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.972e-03, size: 480, ETA: 3:25:23
2025-11-12 09:57:43.577 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 19/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 7.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.972e-03, size: 416, ETA: 3:25:22
2025-11-12 09:57:47.210 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 19/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.179s, data_time: 0.023s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 9.971e-03, size: 288, ETA: 3:25:27
2025-11-12 09:57:48.740 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:57:48.842 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch20
2025-11-12 09:57:52.322 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 20/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.012s, total_loss: 8.1, iou_loss: 3.5, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 9.970e-03, size: 256, ETA: 3:25:25
2025-11-12 09:57:55.674 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 20/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.152s, data_time: 0.046s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.969e-03, size: 544, ETA: 3:25:14
2025-11-12 09:57:59.131 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 20/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.969e-03, size: 352, ETA: 3:25:13
2025-11-12 09:58:02.667 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 20/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 8.0, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.0, lr: 9.968e-03, size: 320, ETA: 3:25:13
2025-11-12 09:58:06.186 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 20/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.163s, data_time: 0.025s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.967e-03, size: 288, ETA: 3:25:09
2025-11-12 09:58:09.600 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 20/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.075s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 9.967e-03, size: 352, ETA: 3:25:07
2025-11-12 09:58:11.302 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:58:16.176 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 09:58:19.799 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 09:58:21.492 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4952
2025-11-12 09:58:21.998 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4018
2025-11-12 09:58:22.070 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2238
2025-11-12 09:58:22.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3736
2025-11-12 09:58:22.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 09:58:22.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.495
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.402
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.224
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.374
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 09:58:22.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 09:58:22.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 09:58:22.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 09:58:22.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 09:58:24.317 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 09:58:26.573 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 09:58:28.802 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 09:58:31.023 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 09:58:33.247 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 09:58:35.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 09:58:37.677 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 09:58:40.335 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 09:58:42.291 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 09:58:42.291 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.17
2025-11-12 09:58:42.291 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.37
2025-11-12 09:58:42.291 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 09:58:42.316 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.73 ms, Average inference time: 1.37 ms

2025-11-12 09:58:42.317 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:58:42.341 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:58:42.373 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch21
2025-11-12 09:58:45.456 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 21/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.154s, data_time: 0.059s, total_loss: 7.1, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.966e-03, size: 352, ETA: 3:25:02
2025-11-12 09:58:48.911 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 21/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.965e-03, size: 288, ETA: 3:25:02
2025-11-12 09:58:52.510 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 21/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.169s, data_time: 0.058s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.964e-03, size: 448, ETA: 3:25:02
2025-11-12 09:58:56.078 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 21/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.164s, data_time: 0.046s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.963e-03, size: 288, ETA: 3:24:58
2025-11-12 09:58:59.730 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 21/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.165s, data_time: 0.050s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.963e-03, size: 320, ETA: 3:24:55
2025-11-12 09:59:03.184 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 21/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.167s, data_time: 0.073s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.962e-03, size: 288, ETA: 3:24:53
2025-11-12 09:59:04.782 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:59:04.812 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch22
2025-11-12 09:59:08.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 22/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.164s, data_time: 0.057s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.961e-03, size: 544, ETA: 3:24:51
2025-11-12 09:59:11.798 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 22/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.164s, data_time: 0.048s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 9.960e-03, size: 256, ETA: 3:24:47
2025-11-12 09:59:15.404 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 22/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.164s, data_time: 0.006s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.959e-03, size: 416, ETA: 3:24:44
2025-11-12 09:59:18.903 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 22/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.157s, data_time: 0.002s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.959e-03, size: 384, ETA: 3:24:36
2025-11-12 09:59:22.365 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 22/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.014s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.958e-03, size: 288, ETA: 3:24:30
2025-11-12 09:59:26.090 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 22/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.167s, data_time: 0.009s, total_loss: 8.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 4.0, cls_loss: 1.0, lr: 9.957e-03, size: 576, ETA: 3:24:28
2025-11-12 09:59:27.649 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:59:27.819 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch23
2025-11-12 09:59:31.361 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 23/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.158s, data_time: 0.017s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 9.956e-03, size: 320, ETA: 3:24:16
2025-11-12 09:59:34.975 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 23/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.160s, data_time: 0.011s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.955e-03, size: 352, ETA: 3:24:10
2025-11-12 09:59:38.545 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 23/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.008s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 9.954e-03, size: 544, ETA: 3:24:04
2025-11-12 09:59:42.395 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 23/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.009s, total_loss: 7.1, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.953e-03, size: 256, ETA: 3:24:03
2025-11-12 09:59:45.884 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 23/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.149s, data_time: 0.004s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.953e-03, size: 544, ETA: 3:23:51
2025-11-12 09:59:49.567 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 23/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.159s, data_time: 0.004s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.952e-03, size: 448, ETA: 3:23:45
2025-11-12 09:59:51.121 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 09:59:51.164 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch24
2025-11-12 09:59:54.797 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 24/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.162s, data_time: 0.003s, total_loss: 7.2, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.951e-03, size: 480, ETA: 3:23:37
2025-11-12 09:59:58.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 24/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.165s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 9.950e-03, size: 352, ETA: 3:23:34
2025-11-12 10:00:02.042 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 24/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.166s, data_time: 0.009s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.949e-03, size: 256, ETA: 3:23:32
2025-11-12 10:00:05.750 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 24/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.167s, data_time: 0.002s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.948e-03, size: 448, ETA: 3:23:30
2025-11-12 10:00:09.200 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 24/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.158s, data_time: 0.008s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.947e-03, size: 288, ETA: 3:23:24
2025-11-12 10:00:12.956 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 24/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.167s, data_time: 0.007s, total_loss: 7.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.946e-03, size: 416, ETA: 3:23:22
2025-11-12 10:00:14.518 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:00:14.825 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch25
2025-11-12 10:00:18.269 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 25/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.150s, data_time: 0.010s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 9.945e-03, size: 448, ETA: 3:23:07
2025-11-12 10:00:21.856 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 25/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.177s, data_time: 0.086s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.944e-03, size: 416, ETA: 3:23:10
2025-11-12 10:00:25.423 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 25/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.178s, data_time: 0.086s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.943e-03, size: 416, ETA: 3:23:13
2025-11-12 10:00:28.840 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 25/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 9.942e-03, size: 480, ETA: 3:23:12
2025-11-12 10:00:32.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 25/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.941e-03, size: 416, ETA: 3:23:11
2025-11-12 10:00:35.798 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 25/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.151s, data_time: 0.007s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.2, lr: 9.940e-03, size: 256, ETA: 3:23:02
2025-11-12 10:00:37.294 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:00:42.362 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:00:46.454 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:00:48.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4660
2025-11-12 10:00:48.971 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3371
2025-11-12 10:00:49.028 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2320
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3450
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.466
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.337
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.232
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.345
2025-11-12 10:00:49.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:00:49.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:00:51.608 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:00:54.163 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:00:56.693 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:00:59.279 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:01:01.852 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:01:04.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:01:06.940 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:01:09.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:01:11.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:01:11.999 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.17
2025-11-12 10:01:11.999 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.35
2025-11-12 10:01:11.999 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:01:12.023 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.70 ms, Average inference time: 1.33 ms

2025-11-12 10:01:12.025 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:01:12.052 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:01:12.085 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch26
2025-11-12 10:01:15.309 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 26/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.160s, data_time: 0.046s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.939e-03, size: 352, ETA: 3:22:53
2025-11-12 10:01:18.813 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 26/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.938e-03, size: 256, ETA: 3:22:53
2025-11-12 10:01:22.273 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 26/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.937e-03, size: 320, ETA: 3:22:54
2025-11-12 10:01:25.866 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 26/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.163s, data_time: 0.061s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.936e-03, size: 448, ETA: 3:22:50
2025-11-12 10:01:29.448 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 26/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 7.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.935e-03, size: 512, ETA: 3:22:47
2025-11-12 10:01:33.008 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 26/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.934e-03, size: 448, ETA: 3:22:49
2025-11-12 10:01:34.423 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:01:34.463 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch27
2025-11-12 10:01:37.962 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 27/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.164s, data_time: 0.069s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.933e-03, size: 576, ETA: 3:22:42
2025-11-12 10:01:41.403 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 27/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.932e-03, size: 288, ETA: 3:22:42
2025-11-12 10:01:45.126 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 27/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.931e-03, size: 480, ETA: 3:22:41
2025-11-12 10:01:48.837 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 27/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.930e-03, size: 448, ETA: 3:22:40
2025-11-12 10:01:52.566 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 27/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.158s, data_time: 0.010s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.929e-03, size: 256, ETA: 3:22:34
2025-11-12 10:01:55.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 27/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.141s, data_time: 0.021s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.928e-03, size: 288, ETA: 3:22:21
2025-11-12 10:01:57.507 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:01:57.562 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch28
2025-11-12 10:02:01.238 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 28/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.161s, data_time: 0.014s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.926e-03, size: 256, ETA: 3:22:11
2025-11-12 10:02:04.775 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 28/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.157s, data_time: 0.003s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.925e-03, size: 256, ETA: 3:22:05
2025-11-12 10:02:08.441 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 28/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.161s, data_time: 0.004s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.924e-03, size: 544, ETA: 3:22:01
2025-11-12 10:02:11.889 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 28/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.167s, data_time: 0.046s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 9.923e-03, size: 448, ETA: 3:21:59
2025-11-12 10:02:15.457 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 28/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.922e-03, size: 512, ETA: 3:22:01
2025-11-12 10:02:18.961 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 28/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.1, lr: 9.921e-03, size: 448, ETA: 3:22:01
2025-11-12 10:02:20.579 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:02:20.757 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch29
2025-11-12 10:02:24.468 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 29/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.154s, data_time: 0.002s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.920e-03, size: 416, ETA: 3:21:53
2025-11-12 10:02:28.049 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 29/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.158s, data_time: 0.004s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.919e-03, size: 448, ETA: 3:21:47
2025-11-12 10:02:31.702 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 29/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.157s, data_time: 0.010s, total_loss: 7.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 9.918e-03, size: 512, ETA: 3:21:40
2025-11-12 10:02:35.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 29/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.155s, data_time: 0.002s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.916e-03, size: 544, ETA: 3:21:34
2025-11-12 10:02:38.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 29/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.153s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 9.915e-03, size: 448, ETA: 3:21:26
2025-11-12 10:02:42.611 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 29/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.156s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.914e-03, size: 288, ETA: 3:21:20
2025-11-12 10:02:44.163 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:02:44.202 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch30
2025-11-12 10:02:47.668 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 30/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.165s, data_time: 0.032s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.913e-03, size: 352, ETA: 3:21:13
2025-11-12 10:02:51.119 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 30/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.911e-03, size: 448, ETA: 3:21:13
2025-11-12 10:02:54.547 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 30/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.910e-03, size: 512, ETA: 3:21:12
2025-11-12 10:02:58.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 30/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.909e-03, size: 288, ETA: 3:21:12
2025-11-12 10:03:01.798 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 30/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.169s, data_time: 0.012s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.908e-03, size: 256, ETA: 3:21:11
2025-11-12 10:03:05.339 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 30/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.159s, data_time: 0.004s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.907e-03, size: 384, ETA: 3:21:05
2025-11-12 10:03:07.071 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:03:12.328 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:03:16.146 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:03:18.113 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4967
2025-11-12 10:03:18.543 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4147
2025-11-12 10:03:18.613 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2400
2025-11-12 10:03:18.613 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3838
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.497
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.415
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.240
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.384
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:03:18.614 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:03:18.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:03:18.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:03:18.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:03:18.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:03:18.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:03:18.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:03:21.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:03:23.535 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:03:25.988 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:03:28.447 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:03:30.892 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:03:33.318 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:03:35.764 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:03:38.225 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:03:40.668 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:03:40.668 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.17
2025-11-12 10:03:40.669 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.38
2025-11-12 10:03:40.669 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:03:40.694 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.60 ms, Average NMS time: 0.75 ms, Average inference time: 1.35 ms

2025-11-12 10:03:40.695 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:03:40.722 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:03:40.757 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch31
2025-11-12 10:03:43.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 31/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.055s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.905e-03, size: 576, ETA: 3:20:59
2025-11-12 10:03:47.485 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 31/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.904e-03, size: 256, ETA: 3:20:58
2025-11-12 10:03:51.186 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 31/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.162s, data_time: 0.061s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.903e-03, size: 256, ETA: 3:20:54
2025-11-12 10:03:54.732 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 31/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.158s, data_time: 0.047s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.902e-03, size: 256, ETA: 3:20:48
2025-11-12 10:03:58.155 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 31/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.161s, data_time: 0.061s, total_loss: 7.2, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.901e-03, size: 352, ETA: 3:20:44
2025-11-12 10:04:01.592 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 31/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.163s, data_time: 0.065s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 9.899e-03, size: 416, ETA: 3:20:40
2025-11-12 10:04:03.142 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:04:03.173 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch32
2025-11-12 10:04:06.832 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 32/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.164s, data_time: 0.051s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.898e-03, size: 448, ETA: 3:20:37
2025-11-12 10:04:10.503 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 32/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.168s, data_time: 0.004s, total_loss: 6.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.896e-03, size: 320, ETA: 3:20:35
2025-11-12 10:04:14.080 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 32/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.162s, data_time: 0.010s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.895e-03, size: 576, ETA: 3:20:31
2025-11-12 10:04:17.649 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 32/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.164s, data_time: 0.002s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.894e-03, size: 320, ETA: 3:20:27
2025-11-12 10:04:21.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 32/600, iter: 100/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.157s, data_time: 0.002s, total_loss: 7.5, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.893e-03, size: 256, ETA: 3:20:22
2025-11-12 10:04:24.624 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 32/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.156s, data_time: 0.028s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.891e-03, size: 320, ETA: 3:20:16
2025-11-12 10:04:26.255 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:04:26.286 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch33
2025-11-12 10:04:29.742 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 33/600, iter: 20/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.1, lr: 9.890e-03, size: 288, ETA: 3:20:15
2025-11-12 10:04:33.279 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 33/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.888e-03, size: 512, ETA: 3:20:16
2025-11-12 10:04:36.848 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 33/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.178s, data_time: 0.082s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 9.887e-03, size: 544, ETA: 3:20:18
2025-11-12 10:04:40.461 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 33/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.180s, data_time: 0.084s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.886e-03, size: 320, ETA: 3:20:20
2025-11-12 10:04:43.974 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 33/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 9.885e-03, size: 320, ETA: 3:20:20
2025-11-12 10:04:47.613 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 33/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.181s, data_time: 0.085s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.1, lr: 9.883e-03, size: 352, ETA: 3:20:23
2025-11-12 10:04:49.052 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:04:49.081 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch34
2025-11-12 10:04:52.570 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 34/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.881e-03, size: 320, ETA: 3:20:21
2025-11-12 10:04:56.052 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 34/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.880e-03, size: 416, ETA: 3:20:20
2025-11-12 10:04:59.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 34/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.081s, total_loss: 7.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.879e-03, size: 320, ETA: 3:20:20
2025-11-12 10:05:03.066 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 34/600, iter: 80/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.169s, data_time: 0.055s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.877e-03, size: 416, ETA: 3:20:18
2025-11-12 10:05:06.533 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 34/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.163s, data_time: 0.036s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.876e-03, size: 352, ETA: 3:20:15
2025-11-12 10:05:10.303 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 34/600, iter: 120/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.171s, data_time: 0.010s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 9.875e-03, size: 416, ETA: 3:20:13
2025-11-12 10:05:11.838 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:05:12.032 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch35
2025-11-12 10:05:15.619 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 35/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.152s, data_time: 0.002s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.873e-03, size: 576, ETA: 3:20:02
2025-11-12 10:05:19.146 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 35/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.015s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.872e-03, size: 384, ETA: 3:19:57
2025-11-12 10:05:22.901 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 35/600, iter: 60/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.164s, data_time: 0.006s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 9.870e-03, size: 448, ETA: 3:19:53
2025-11-12 10:05:26.394 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 35/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.152s, data_time: 0.004s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.1, lr: 9.869e-03, size: 320, ETA: 3:19:46
2025-11-12 10:05:29.866 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 35/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.149s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.867e-03, size: 544, ETA: 3:19:38
2025-11-12 10:05:33.213 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 35/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.157s, data_time: 0.043s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.1, lr: 9.866e-03, size: 256, ETA: 3:19:32
2025-11-12 10:05:34.743 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:05:39.567 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:05:43.226 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:05:45.060 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4920
2025-11-12 10:05:45.431 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4065
2025-11-12 10:05:45.531 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2746
2025-11-12 10:05:45.532 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3910
2025-11-12 10:05:45.532 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.492
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.407
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.275
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.391
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:05:45.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:05:45.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:05:45.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:05:45.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:05:45.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:05:45.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:05:47.801 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:05:50.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:05:52.298 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:05:54.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:05:56.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:05:59.019 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:06:01.277 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:06:03.514 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:06:05.745 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:06:05.745 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.18
2025-11-12 10:06:05.746 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.39
2025-11-12 10:06:05.746 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:06:05.771 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.75 ms, Average inference time: 1.40 ms

2025-11-12 10:06:05.772 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:06:05.799 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:06:05.833 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch36
2025-11-12 10:06:08.945 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 36/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.155s, data_time: 0.049s, total_loss: 7.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.1, lr: 9.864e-03, size: 320, ETA: 3:19:24
2025-11-12 10:06:12.610 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 36/600, iter: 40/129, gpu mem: 2795Mb, mem: 93.9Gb, iter_time: 0.183s, data_time: 0.084s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.2, lr: 9.863e-03, size: 448, ETA: 3:19:26
2025-11-12 10:06:16.190 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 36/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.163s, data_time: 0.036s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.861e-03, size: 512, ETA: 3:19:23
2025-11-12 10:06:19.804 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 36/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.161s, data_time: 0.002s, total_loss: 7.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.2, lr: 9.860e-03, size: 288, ETA: 3:19:18
2025-11-12 10:06:23.482 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 36/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.165s, data_time: 0.002s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.858e-03, size: 416, ETA: 3:19:15
2025-11-12 10:06:26.980 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 36/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.157s, data_time: 0.003s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.857e-03, size: 320, ETA: 3:19:10
2025-11-12 10:06:28.501 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:06:28.671 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch37
2025-11-12 10:06:32.203 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 37/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.153s, data_time: 0.034s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.855e-03, size: 320, ETA: 3:19:00
2025-11-12 10:06:35.661 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 37/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.149s, data_time: 0.019s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.853e-03, size: 352, ETA: 3:18:52
2025-11-12 10:06:39.106 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 37/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.159s, data_time: 0.071s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.852e-03, size: 416, ETA: 3:18:47
2025-11-12 10:06:42.683 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 37/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.157s, data_time: 0.065s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.851e-03, size: 416, ETA: 3:18:41
2025-11-12 10:06:46.174 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 37/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.154s, data_time: 0.058s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.849e-03, size: 384, ETA: 3:18:35
2025-11-12 10:06:49.526 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 37/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.155s, data_time: 0.062s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.848e-03, size: 384, ETA: 3:18:29
2025-11-12 10:06:51.069 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:06:51.164 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch38
2025-11-12 10:06:54.703 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 38/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.846e-03, size: 288, ETA: 3:18:27
2025-11-12 10:06:58.200 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 38/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.844e-03, size: 256, ETA: 3:18:27
2025-11-12 10:07:01.801 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 38/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.843e-03, size: 288, ETA: 3:18:27
2025-11-12 10:07:05.283 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 38/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.079s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 9.841e-03, size: 288, ETA: 3:18:26
2025-11-12 10:07:08.687 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 38/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.166s, data_time: 0.079s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.840e-03, size: 416, ETA: 3:18:23
2025-11-12 10:07:12.216 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 38/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.086s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.838e-03, size: 480, ETA: 3:18:24
2025-11-12 10:07:13.909 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:07:13.941 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch39
2025-11-12 10:07:17.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 39/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.164s, data_time: 0.070s, total_loss: 7.3, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.836e-03, size: 256, ETA: 3:18:22
2025-11-12 10:07:20.786 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 39/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.834e-03, size: 288, ETA: 3:18:19
2025-11-12 10:07:24.700 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 39/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.194s, data_time: 0.099s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.833e-03, size: 288, ETA: 3:18:24
2025-11-12 10:07:28.265 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 39/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.084s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.831e-03, size: 480, ETA: 3:18:24
2025-11-12 10:07:31.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 39/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.076s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.830e-03, size: 544, ETA: 3:18:24
2025-11-12 10:07:35.337 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 39/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 8.7, iou_loss: 3.5, l1_loss: 0.0, conf_loss: 4.1, cls_loss: 1.0, lr: 9.828e-03, size: 288, ETA: 3:18:23
2025-11-12 10:07:37.017 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:07:37.047 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch40
2025-11-12 10:07:40.469 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 40/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.826e-03, size: 416, ETA: 3:18:23
2025-11-12 10:07:44.123 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 40/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.182s, data_time: 0.088s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.824e-03, size: 384, ETA: 3:18:24
2025-11-12 10:07:47.585 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 40/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 8.0, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 9.823e-03, size: 256, ETA: 3:18:22
2025-11-12 10:07:51.009 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 40/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.165s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.821e-03, size: 288, ETA: 3:18:18
2025-11-12 10:07:54.565 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 40/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.819e-03, size: 576, ETA: 3:18:17
2025-11-12 10:07:57.999 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 40/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.155s, data_time: 0.039s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.818e-03, size: 544, ETA: 3:18:11
2025-11-12 10:07:59.603 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:08:04.366 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:08:05.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:08:06.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.3853
2025-11-12 10:08:06.934 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3117
2025-11-12 10:08:06.972 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.1921
2025-11-12 10:08:06.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.2964
2025-11-12 10:08:06.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:08:06.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:08:06.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.385
2025-11-12 10:08:06.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.312
2025-11-12 10:08:06.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.192
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.296
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:08:06.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:08:08.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:08:09.228 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:08:10.350 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:08:11.477 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:08:12.601 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:08:13.732 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:08:14.873 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:08:15.985 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:08:17.117 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:08:17.118 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.09
2025-11-12 10:08:17.118 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.30
2025-11-12 10:08:17.118 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:08:17.125 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.70 ms, Average inference time: 1.30 ms

2025-11-12 10:08:17.126 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:08:17.149 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:08:17.178 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch41
2025-11-12 10:08:20.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 41/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.151s, data_time: 0.061s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.816e-03, size: 448, ETA: 3:18:03
2025-11-12 10:08:23.670 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 41/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.814e-03, size: 352, ETA: 3:18:02
2025-11-12 10:08:27.228 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 41/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 9.812e-03, size: 352, ETA: 3:18:02
2025-11-12 10:08:30.662 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 41/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.811e-03, size: 352, ETA: 3:18:00
2025-11-12 10:08:34.189 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 41/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.809e-03, size: 576, ETA: 3:17:59
2025-11-12 10:08:37.628 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 41/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.807e-03, size: 480, ETA: 3:17:58
2025-11-12 10:08:39.425 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:08:39.457 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch42
2025-11-12 10:08:42.909 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 42/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.169s, data_time: 0.086s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.805e-03, size: 480, ETA: 3:17:58
2025-11-12 10:08:46.454 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 42/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.803e-03, size: 288, ETA: 3:17:58
2025-11-12 10:08:49.967 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 42/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 6.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.802e-03, size: 256, ETA: 3:17:57
2025-11-12 10:08:53.527 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 42/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.085s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.800e-03, size: 384, ETA: 3:17:56
2025-11-12 10:08:57.054 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 42/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.798e-03, size: 448, ETA: 3:17:55
2025-11-12 10:09:00.357 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 42/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.165s, data_time: 0.055s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.797e-03, size: 416, ETA: 3:17:52
2025-11-12 10:09:01.965 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:09:01.999 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch43
2025-11-12 10:09:05.458 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 43/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 9.794e-03, size: 544, ETA: 3:17:50
2025-11-12 10:09:08.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 43/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.792e-03, size: 576, ETA: 3:17:50
2025-11-12 10:09:12.560 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 43/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.074s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.791e-03, size: 512, ETA: 3:17:50
2025-11-12 10:09:15.925 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 43/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 6.8, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.789e-03, size: 320, ETA: 3:17:47
2025-11-12 10:09:19.540 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 43/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.180s, data_time: 0.082s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.787e-03, size: 416, ETA: 3:17:47
2025-11-12 10:09:23.082 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 43/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.785e-03, size: 352, ETA: 3:17:47
2025-11-12 10:09:24.837 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:09:24.868 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch44
2025-11-12 10:09:28.388 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 44/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.783e-03, size: 448, ETA: 3:17:47
2025-11-12 10:09:31.940 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 44/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.781e-03, size: 352, ETA: 3:17:45
2025-11-12 10:09:35.458 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 44/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.071s, total_loss: 7.2, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 9.779e-03, size: 288, ETA: 3:17:44
2025-11-12 10:09:39.217 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 44/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.187s, data_time: 0.091s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.778e-03, size: 352, ETA: 3:17:46
2025-11-12 10:09:42.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 44/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.776e-03, size: 480, ETA: 3:17:45
2025-11-12 10:09:46.169 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 44/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.774e-03, size: 352, ETA: 3:17:43
2025-11-12 10:09:47.681 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:09:47.747 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch45
2025-11-12 10:09:51.224 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 45/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.063s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.772e-03, size: 480, ETA: 3:17:39
2025-11-12 10:09:54.751 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 45/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 9.770e-03, size: 544, ETA: 3:17:35
2025-11-12 10:09:58.246 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 45/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.154s, data_time: 0.048s, total_loss: 6.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 1.0, lr: 9.768e-03, size: 320, ETA: 3:17:29
2025-11-12 10:10:01.693 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 45/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.163s, data_time: 0.073s, total_loss: 7.0, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.766e-03, size: 320, ETA: 3:17:25
2025-11-12 10:10:05.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 45/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.180s, data_time: 0.085s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.764e-03, size: 480, ETA: 3:17:26
2025-11-12 10:10:08.930 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 45/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.077s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.762e-03, size: 352, ETA: 3:17:25
2025-11-12 10:10:10.579 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:10:15.377 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:10:16.161 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:10:16.594 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4457
2025-11-12 10:10:16.705 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3575
2025-11-12 10:10:16.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2049
2025-11-12 10:10:16.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3361
2025-11-12 10:10:16.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:10:16.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:10:16.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.446
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.358
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.205
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.336
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:10:16.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:10:16.747 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:10:16.747 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:10:17.320 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:10:17.884 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:10:18.488 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:10:19.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:10:19.605 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:10:20.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:10:20.740 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:10:21.308 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:10:21.864 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:10:21.864 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.16
2025-11-12 10:10:21.864 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.34
2025-11-12 10:10:21.865 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:10:21.871 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.70 ms, Average inference time: 1.37 ms

2025-11-12 10:10:21.872 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:10:21.894 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:10:21.921 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch46
2025-11-12 10:10:25.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 46/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.151s, data_time: 0.048s, total_loss: 7.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 9.760e-03, size: 416, ETA: 3:17:19
2025-11-12 10:10:28.581 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 46/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.758e-03, size: 576, ETA: 3:17:17
2025-11-12 10:10:32.119 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 46/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.756e-03, size: 576, ETA: 3:17:15
2025-11-12 10:10:35.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 46/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.180s, data_time: 0.083s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.754e-03, size: 384, ETA: 3:17:16
2025-11-12 10:10:39.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 46/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.752e-03, size: 352, ETA: 3:17:14
2025-11-12 10:10:42.713 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 46/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.084s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.751e-03, size: 480, ETA: 3:17:12
2025-11-12 10:10:44.218 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:10:44.246 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch47
2025-11-12 10:10:47.876 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 47/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.180s, data_time: 0.083s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.748e-03, size: 576, ETA: 3:17:10
2025-11-12 10:10:51.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 47/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 7.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.746e-03, size: 576, ETA: 3:17:09
2025-11-12 10:10:54.915 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 47/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.167s, data_time: 0.081s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.744e-03, size: 544, ETA: 3:17:06
2025-11-12 10:10:58.362 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 47/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.742e-03, size: 416, ETA: 3:17:03
2025-11-12 10:11:01.895 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 47/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.084s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.740e-03, size: 352, ETA: 3:17:01
2025-11-12 10:11:05.364 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 47/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.169s, data_time: 0.096s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.738e-03, size: 480, ETA: 3:16:58
2025-11-12 10:11:07.057 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:11:07.087 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch48
2025-11-12 10:11:10.650 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 48/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.083s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.736e-03, size: 544, ETA: 3:16:58
2025-11-12 10:11:14.081 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 48/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.166s, data_time: 0.065s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.734e-03, size: 576, ETA: 3:16:55
2025-11-12 10:11:17.652 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 48/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 7.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 9.732e-03, size: 480, ETA: 3:16:54
2025-11-12 10:11:21.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 48/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.165s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.730e-03, size: 448, ETA: 3:16:50
2025-11-12 10:11:24.624 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 48/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.167s, data_time: 0.058s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 9.728e-03, size: 448, ETA: 3:16:47
2025-11-12 10:11:28.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 48/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.726e-03, size: 384, ETA: 3:16:45
2025-11-12 10:11:29.711 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:11:29.741 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch49
2025-11-12 10:11:33.157 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 49/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.723e-03, size: 256, ETA: 3:16:42
2025-11-12 10:11:36.702 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 49/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 7.2, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 9.721e-03, size: 256, ETA: 3:16:41
2025-11-12 10:11:40.253 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 49/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.084s, total_loss: 7.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.719e-03, size: 448, ETA: 3:16:40
2025-11-12 10:11:43.722 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 49/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.717e-03, size: 384, ETA: 3:16:38
2025-11-12 10:11:47.070 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 49/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.164s, data_time: 0.071s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.715e-03, size: 384, ETA: 3:16:34
2025-11-12 10:11:50.728 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 49/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.713e-03, size: 544, ETA: 3:16:33
2025-11-12 10:11:52.426 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:11:52.454 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch50
2025-11-12 10:11:55.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 50/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.710e-03, size: 288, ETA: 3:16:32
2025-11-12 10:11:59.464 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 50/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.176s, data_time: 0.086s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.708e-03, size: 384, ETA: 3:16:31
2025-11-12 10:12:02.912 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 50/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.706e-03, size: 512, ETA: 3:16:28
2025-11-12 10:12:06.406 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 50/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 7.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.0, lr: 9.704e-03, size: 416, ETA: 3:16:26
2025-11-12 10:12:09.878 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 50/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.702e-03, size: 384, ETA: 3:16:24
2025-11-12 10:12:13.414 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 50/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.089s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.700e-03, size: 416, ETA: 3:16:23
2025-11-12 10:12:14.923 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:12:19.787 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:12:23.979 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:12:27.205 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5416
2025-11-12 10:12:27.608 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4671
2025-11-12 10:12:27.669 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2656
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4248
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.542
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.467
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.266
2025-11-12 10:12:27.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.425
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:12:27.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:12:31.224 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:12:34.836 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:12:38.445 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:12:42.016 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:12:45.598 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:12:49.151 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:12:52.752 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:12:56.290 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:12:59.891 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:12:59.891 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 10:12:59.891 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:12:59.892 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:12:59.920 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.74 ms, Average inference time: 1.37 ms

2025-11-12 10:12:59.921 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:12:59.945 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:12:59.975 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch51
2025-11-12 10:13:03.103 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 51/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.156s, data_time: 0.063s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.697e-03, size: 320, ETA: 3:16:15
2025-11-12 10:13:06.664 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 51/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.091s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.695e-03, size: 256, ETA: 3:16:14
2025-11-12 10:13:10.213 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 51/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.075s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.693e-03, size: 256, ETA: 3:16:13
2025-11-12 10:13:13.716 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 51/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.080s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.2, lr: 9.691e-03, size: 352, ETA: 3:16:11
2025-11-12 10:13:17.246 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 51/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.689e-03, size: 544, ETA: 3:16:10
2025-11-12 10:13:20.785 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 51/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.687e-03, size: 480, ETA: 3:16:08
2025-11-12 10:13:22.476 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:13:22.506 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch52
2025-11-12 10:13:25.963 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 52/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.684e-03, size: 416, ETA: 3:16:06
2025-11-12 10:13:29.441 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 52/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.681e-03, size: 256, ETA: 3:16:04
2025-11-12 10:13:32.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 52/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 7.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 9.679e-03, size: 576, ETA: 3:16:01
2025-11-12 10:13:36.335 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 52/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.677e-03, size: 448, ETA: 3:15:59
2025-11-12 10:13:39.805 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 52/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.675e-03, size: 320, ETA: 3:15:56
2025-11-12 10:13:43.419 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 52/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.072s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.673e-03, size: 544, ETA: 3:15:54
2025-11-12 10:13:44.984 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:13:45.014 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch53
2025-11-12 10:13:48.541 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 53/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.670e-03, size: 576, ETA: 3:15:52
2025-11-12 10:13:52.163 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 53/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.048s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.668e-03, size: 256, ETA: 3:15:51
2025-11-12 10:13:55.754 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 53/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.666e-03, size: 544, ETA: 3:15:49
2025-11-12 10:13:59.278 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 53/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.005s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.663e-03, size: 544, ETA: 3:15:48
2025-11-12 10:14:02.756 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 53/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.007s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.661e-03, size: 480, ETA: 3:15:46
2025-11-12 10:14:06.180 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 53/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.169s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.659e-03, size: 480, ETA: 3:15:43
2025-11-12 10:14:07.799 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:14:07.942 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch54
2025-11-12 10:14:11.626 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 54/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.174s, data_time: 0.005s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.656e-03, size: 544, ETA: 3:15:41
2025-11-12 10:14:15.225 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 54/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.654e-03, size: 352, ETA: 3:15:38
2025-11-12 10:14:18.925 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 54/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.651e-03, size: 544, ETA: 3:15:37
2025-11-12 10:14:22.386 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 54/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.042s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.649e-03, size: 320, ETA: 3:15:34
2025-11-12 10:14:26.065 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 54/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.040s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.647e-03, size: 288, ETA: 3:15:31
2025-11-12 10:14:29.708 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 54/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 9.645e-03, size: 288, ETA: 3:15:29
2025-11-12 10:14:31.236 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:14:31.278 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch55
2025-11-12 10:14:34.870 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 55/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.008s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.642e-03, size: 480, ETA: 3:15:26
2025-11-12 10:14:38.481 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 55/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.179s, data_time: 0.004s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.639e-03, size: 384, ETA: 3:15:25
2025-11-12 10:14:42.070 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 55/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 9.637e-03, size: 416, ETA: 3:15:24
2025-11-12 10:14:45.700 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 55/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.180s, data_time: 0.002s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.635e-03, size: 320, ETA: 3:15:23
2025-11-12 10:14:49.329 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 55/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.179s, data_time: 0.003s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.633e-03, size: 576, ETA: 3:15:22
2025-11-12 10:14:52.877 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 55/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.170s, data_time: 0.007s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 9.630e-03, size: 480, ETA: 3:15:20
2025-11-12 10:14:54.418 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:14:59.351 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:15:00.480 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:15:01.189 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4533
2025-11-12 10:15:01.275 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3396
2025-11-12 10:15:01.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2511
2025-11-12 10:15:01.363 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3480
2025-11-12 10:15:01.363 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:15:01.363 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.453
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.340
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.251
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.348
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:15:01.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:15:01.365 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:15:01.365 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:15:01.365 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:15:02.199 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:15:03.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:15:03.874 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:15:04.737 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:15:05.558 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:15:06.408 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:15:07.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:15:08.084 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:15:08.929 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:15:08.930 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.15
2025-11-12 10:15:08.930 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.35
2025-11-12 10:15:08.930 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:15:08.937 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.67 ms, Average inference time: 1.29 ms

2025-11-12 10:15:08.938 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:15:08.960 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:15:08.988 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch56
2025-11-12 10:15:12.176 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 56/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.158s, data_time: 0.059s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.627e-03, size: 416, ETA: 3:15:13
2025-11-12 10:15:15.616 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 56/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.070s, total_loss: 6.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.625e-03, size: 448, ETA: 3:15:11
2025-11-12 10:15:19.150 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 56/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 7.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 9.623e-03, size: 480, ETA: 3:15:10
2025-11-12 10:15:22.624 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 56/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.1, lr: 9.620e-03, size: 384, ETA: 3:15:07
2025-11-12 10:15:26.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 56/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 9.618e-03, size: 480, ETA: 3:15:05
2025-11-12 10:15:29.684 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 56/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.616e-03, size: 512, ETA: 3:15:03
2025-11-12 10:15:31.192 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:15:31.222 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch57
2025-11-12 10:15:34.692 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 57/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.2, lr: 9.612e-03, size: 352, ETA: 3:14:59
2025-11-12 10:15:38.261 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 57/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.610e-03, size: 448, ETA: 3:14:57
2025-11-12 10:15:41.637 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 57/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.165s, data_time: 0.073s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 9.608e-03, size: 416, ETA: 3:14:54
2025-11-12 10:15:45.270 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 57/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.084s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.605e-03, size: 480, ETA: 3:14:52
2025-11-12 10:15:48.768 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 57/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 7.2, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.603e-03, size: 320, ETA: 3:14:50
2025-11-12 10:15:52.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 57/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.181s, data_time: 0.081s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.601e-03, size: 544, ETA: 3:14:49
2025-11-12 10:15:54.082 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:15:54.110 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch58
2025-11-12 10:15:57.535 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 58/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.597e-03, size: 480, ETA: 3:14:46
2025-11-12 10:16:01.043 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 58/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.167s, data_time: 0.043s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.595e-03, size: 384, ETA: 3:14:43
2025-11-12 10:16:04.522 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 58/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.165s, data_time: 0.030s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.592e-03, size: 512, ETA: 3:14:39
2025-11-12 10:16:08.013 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 58/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.169s, data_time: 0.058s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 9.590e-03, size: 480, ETA: 3:14:36
2025-11-12 10:16:11.460 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 58/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.167s, data_time: 0.062s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.588e-03, size: 352, ETA: 3:14:33
2025-11-12 10:16:14.996 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 58/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.585e-03, size: 256, ETA: 3:14:31
2025-11-12 10:16:16.459 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:16:16.493 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch59
2025-11-12 10:16:19.996 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 59/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.582e-03, size: 480, ETA: 3:14:27
2025-11-12 10:16:23.495 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 59/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 8.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 4.0, cls_loss: 0.8, lr: 9.579e-03, size: 512, ETA: 3:14:24
2025-11-12 10:16:26.922 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 59/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.169s, data_time: 0.062s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.577e-03, size: 416, ETA: 3:14:21
2025-11-12 10:16:30.372 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 59/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 7.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 1.0, lr: 9.575e-03, size: 416, ETA: 3:14:18
2025-11-12 10:16:33.871 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 59/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.079s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.572e-03, size: 256, ETA: 3:14:16
2025-11-12 10:16:37.427 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 59/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.570e-03, size: 512, ETA: 3:14:14
2025-11-12 10:16:39.083 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:16:39.109 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch60
2025-11-12 10:16:42.704 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 60/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.178s, data_time: 0.090s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.566e-03, size: 352, ETA: 3:14:12
2025-11-12 10:16:46.284 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 60/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.083s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 9.564e-03, size: 480, ETA: 3:14:10
2025-11-12 10:16:49.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 60/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.178s, data_time: 0.076s, total_loss: 7.5, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 9.561e-03, size: 256, ETA: 3:14:09
2025-11-12 10:16:53.434 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 60/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.084s, total_loss: 8.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 4.5, cls_loss: 0.9, lr: 9.559e-03, size: 576, ETA: 3:14:07
2025-11-12 10:16:57.067 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 60/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.179s, data_time: 0.085s, total_loss: 7.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 1.0, lr: 9.556e-03, size: 544, ETA: 3:14:06
2025-11-12 10:17:00.544 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 60/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.554e-03, size: 320, ETA: 3:14:03
2025-11-12 10:17:02.030 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:17:07.188 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:17:09.989 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:17:11.919 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4976
2025-11-12 10:17:12.198 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3808
2025-11-12 10:17:12.259 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2851
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3878
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.498
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.381
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.285
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.388
2025-11-12 10:17:12.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:17:12.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:17:14.599 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:17:16.871 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:17:19.118 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:17:21.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:17:23.642 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:17:25.880 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:17:28.112 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:17:30.373 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:17:32.661 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:17:32.661 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.19
2025-11-12 10:17:32.661 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.39
2025-11-12 10:17:32.662 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:17:32.686 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.60 ms, Average NMS time: 0.76 ms, Average inference time: 1.36 ms

2025-11-12 10:17:32.688 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:17:32.710 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:17:32.740 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch61
2025-11-12 10:17:35.800 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 61/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.152s, data_time: 0.063s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.550e-03, size: 416, ETA: 3:13:55
2025-11-12 10:17:39.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 61/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.080s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.548e-03, size: 384, ETA: 3:13:53
2025-11-12 10:17:42.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 61/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.078s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.545e-03, size: 416, ETA: 3:13:51
2025-11-12 10:17:46.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 61/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.076s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 9.543e-03, size: 480, ETA: 3:13:50
2025-11-12 10:17:49.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 61/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.540e-03, size: 288, ETA: 3:13:48
2025-11-12 10:17:53.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 61/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.075s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 9.538e-03, size: 320, ETA: 3:13:46
2025-11-12 10:17:55.069 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:17:55.106 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch62
2025-11-12 10:17:58.495 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 62/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.069s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.534e-03, size: 416, ETA: 3:13:42
2025-11-12 10:18:01.966 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 62/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.532e-03, size: 288, ETA: 3:13:39
2025-11-12 10:18:05.528 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 62/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.529e-03, size: 544, ETA: 3:13:38
2025-11-12 10:18:08.905 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 62/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.166s, data_time: 0.067s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 9.526e-03, size: 352, ETA: 3:13:34
2025-11-12 10:18:12.394 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 62/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 9.524e-03, size: 320, ETA: 3:13:32
2025-11-12 10:18:15.916 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 62/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.080s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.521e-03, size: 480, ETA: 3:13:29
2025-11-12 10:18:17.349 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:18:17.381 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch63
2025-11-12 10:18:20.822 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 63/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.518e-03, size: 384, ETA: 3:13:24
2025-11-12 10:18:24.315 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 63/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.515e-03, size: 512, ETA: 3:13:22
2025-11-12 10:18:27.793 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 63/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.067s, total_loss: 7.7, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.512e-03, size: 256, ETA: 3:13:19
2025-11-12 10:18:31.386 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 63/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.040s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.510e-03, size: 416, ETA: 3:13:17
2025-11-12 10:18:34.863 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 63/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.037s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.507e-03, size: 576, ETA: 3:13:14
2025-11-12 10:18:38.401 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 63/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.505e-03, size: 512, ETA: 3:13:11
2025-11-12 10:18:40.137 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:18:40.168 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch64
2025-11-12 10:18:43.611 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 64/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.082s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.501e-03, size: 512, ETA: 3:13:09
2025-11-12 10:18:47.095 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 64/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.081s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.498e-03, size: 480, ETA: 3:13:06
2025-11-12 10:18:50.580 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 64/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.168s, data_time: 0.058s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 9.496e-03, size: 416, ETA: 3:13:03
2025-11-12 10:18:54.121 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 64/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.063s, total_loss: 7.8, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.493e-03, size: 480, ETA: 3:13:01
2025-11-12 10:18:57.653 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 64/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.490e-03, size: 416, ETA: 3:12:59
2025-11-12 10:19:01.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 64/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.086s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.488e-03, size: 352, ETA: 3:12:57
2025-11-12 10:19:02.743 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:19:02.778 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch65
2025-11-12 10:19:06.242 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 65/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.484e-03, size: 576, ETA: 3:12:53
2025-11-12 10:19:09.744 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 65/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.071s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.481e-03, size: 352, ETA: 3:12:51
2025-11-12 10:19:13.151 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 65/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.479e-03, size: 448, ETA: 3:12:48
2025-11-12 10:19:16.667 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 65/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.065s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.476e-03, size: 288, ETA: 3:12:46
2025-11-12 10:19:20.119 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 65/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.170s, data_time: 0.025s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.473e-03, size: 480, ETA: 3:12:43
2025-11-12 10:19:23.637 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 65/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 7.1, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.1, lr: 9.471e-03, size: 320, ETA: 3:12:40
2025-11-12 10:19:25.259 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:19:30.218 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:19:35.942 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:19:39.110 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5347
2025-11-12 10:19:39.576 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4296
2025-11-12 10:19:39.690 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3040
2025-11-12 10:19:39.691 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4228
2025-11-12 10:19:39.691 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:19:39.691 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.535
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.430
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.304
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.423
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:19:39.692 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:19:39.693 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:19:39.693 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:19:43.406 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:19:47.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:19:50.809 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:19:54.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:19:58.162 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:20:01.852 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:20:05.504 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:20:09.205 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:20:12.881 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:20:12.882 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 10:20:12.882 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:20:12.882 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:20:12.907 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.70 ms, Average inference time: 1.30 ms

2025-11-12 10:20:12.908 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:20:12.936 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:20:12.970 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch66
2025-11-12 10:20:16.116 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 66/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.157s, data_time: 0.053s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.467e-03, size: 352, ETA: 3:12:34
2025-11-12 10:20:19.577 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 66/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.162s, data_time: 0.067s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 9.464e-03, size: 480, ETA: 3:12:30
2025-11-12 10:20:23.186 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 66/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.161s, data_time: 0.049s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.461e-03, size: 544, ETA: 3:12:25
2025-11-12 10:20:26.662 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 66/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.163s, data_time: 0.034s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.459e-03, size: 480, ETA: 3:12:21
2025-11-12 10:20:30.150 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 66/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.169s, data_time: 0.061s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.456e-03, size: 448, ETA: 3:12:18
2025-11-12 10:20:33.674 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 66/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.453e-03, size: 448, ETA: 3:12:16
2025-11-12 10:20:35.120 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:20:35.150 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch67
2025-11-12 10:20:38.627 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 67/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.449e-03, size: 256, ETA: 3:12:11
2025-11-12 10:20:42.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 67/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 8.1, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 4.0, cls_loss: 0.9, lr: 9.446e-03, size: 384, ETA: 3:12:08
2025-11-12 10:20:45.654 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 67/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.179s, data_time: 0.076s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.444e-03, size: 512, ETA: 3:12:06
2025-11-12 10:20:49.194 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 67/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 7.5, iou_loss: 3.4, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.441e-03, size: 416, ETA: 3:12:04
2025-11-12 10:20:52.602 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 67/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.438e-03, size: 256, ETA: 3:12:01
2025-11-12 10:20:56.119 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 67/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.435e-03, size: 288, ETA: 3:11:59
2025-11-12 10:20:57.690 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:20:57.721 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch68
2025-11-12 10:21:01.276 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 68/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.078s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.431e-03, size: 576, ETA: 3:11:56
2025-11-12 10:21:04.918 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 68/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.178s, data_time: 0.085s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.429e-03, size: 576, ETA: 3:11:55
2025-11-12 10:21:08.407 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 68/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 7.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 9.426e-03, size: 544, ETA: 3:11:52
2025-11-12 10:21:11.894 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 68/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 9.423e-03, size: 288, ETA: 3:11:49
2025-11-12 10:21:15.415 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 68/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.420e-03, size: 480, ETA: 3:11:47
2025-11-12 10:21:18.874 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 68/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.417e-03, size: 256, ETA: 3:11:45
2025-11-12 10:21:20.513 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:21:20.550 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch69
2025-11-12 10:21:24.070 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 69/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.413e-03, size: 544, ETA: 3:11:42
2025-11-12 10:21:27.670 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 69/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.179s, data_time: 0.079s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.410e-03, size: 288, ETA: 3:11:40
2025-11-12 10:21:31.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 69/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 9.408e-03, size: 576, ETA: 3:11:37
2025-11-12 10:21:34.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 69/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.405e-03, size: 256, ETA: 3:11:35
2025-11-12 10:21:38.245 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 69/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.183s, data_time: 0.087s, total_loss: 8.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.3, lr: 9.402e-03, size: 480, ETA: 3:11:34
2025-11-12 10:21:41.715 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 69/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 9.399e-03, size: 480, ETA: 3:11:31
2025-11-12 10:21:43.201 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:21:43.242 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch70
2025-11-12 10:21:46.772 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 70/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.395e-03, size: 480, ETA: 3:11:27
2025-11-12 10:21:50.440 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 70/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.182s, data_time: 0.082s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.392e-03, size: 320, ETA: 3:11:26
2025-11-12 10:21:53.983 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 70/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 8.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 4.4, cls_loss: 0.9, lr: 9.389e-03, size: 544, ETA: 3:11:24
2025-11-12 10:21:57.604 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 70/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.081s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 9.386e-03, size: 384, ETA: 3:11:22
2025-11-12 10:22:01.145 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 70/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.0Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.383e-03, size: 384, ETA: 3:11:20
2025-11-12 10:22:04.569 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 70/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.070s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 9.381e-03, size: 352, ETA: 3:11:16
2025-11-12 10:22:06.037 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:22:10.890 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:22:18.166 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:22:23.444 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4458
2025-11-12 10:22:24.098 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4519
2025-11-12 10:22:24.211 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2951
2025-11-12 10:22:24.212 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3976
2025-11-12 10:22:24.212 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:22:24.212 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.446
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.452
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.295
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.398
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:22:24.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:22:24.214 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:22:24.214 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:22:30.228 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:22:36.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:22:42.217 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:22:48.198 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:22:54.230 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:23:00.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:23:06.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:23:12.332 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:23:18.352 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:23:18.353 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.18
2025-11-12 10:23:18.353 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.40
2025-11-12 10:23:18.353 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:23:18.379 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.72 ms, Average inference time: 1.34 ms

2025-11-12 10:23:18.379 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:23:18.402 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:23:18.432 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch71
2025-11-12 10:23:21.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 71/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.154s, data_time: 0.058s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.376e-03, size: 480, ETA: 3:11:09
2025-11-12 10:23:25.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 71/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.373e-03, size: 416, ETA: 3:11:07
2025-11-12 10:23:28.663 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 71/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.371e-03, size: 416, ETA: 3:11:05
2025-11-12 10:23:32.336 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 71/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.181s, data_time: 0.088s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.368e-03, size: 320, ETA: 3:11:03
2025-11-12 10:23:35.805 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 71/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.365e-03, size: 448, ETA: 3:11:00
2025-11-12 10:23:39.281 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 71/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.362e-03, size: 544, ETA: 3:10:58
2025-11-12 10:23:40.903 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:23:40.932 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch72
2025-11-12 10:23:44.540 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 72/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.178s, data_time: 0.078s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 9.358e-03, size: 480, ETA: 3:10:55
2025-11-12 10:23:47.927 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 72/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.166s, data_time: 0.070s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 9.355e-03, size: 544, ETA: 3:10:51
2025-11-12 10:23:51.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 72/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.352e-03, size: 288, ETA: 3:10:48
2025-11-12 10:23:54.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 72/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.167s, data_time: 0.040s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.349e-03, size: 384, ETA: 3:10:45
2025-11-12 10:23:58.443 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 72/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.169s, data_time: 0.030s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.346e-03, size: 512, ETA: 3:10:42
2025-11-12 10:24:01.963 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 72/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.166s, data_time: 0.026s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.343e-03, size: 352, ETA: 3:10:38
2025-11-12 10:24:03.457 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:24:03.493 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch73
2025-11-12 10:24:07.026 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 73/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.174s, data_time: 0.007s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.338e-03, size: 544, ETA: 3:10:33
2025-11-12 10:24:10.602 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 73/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.176s, data_time: 0.002s, total_loss: 6.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.335e-03, size: 256, ETA: 3:10:31
2025-11-12 10:24:14.096 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 73/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.168s, data_time: 0.013s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.332e-03, size: 352, ETA: 3:10:28
2025-11-12 10:24:17.729 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 73/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.179s, data_time: 0.020s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 9.329e-03, size: 288, ETA: 3:10:26
2025-11-12 10:24:21.341 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 73/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.179s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.326e-03, size: 320, ETA: 3:10:24
2025-11-12 10:24:25.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 73/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.183s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.323e-03, size: 512, ETA: 3:10:23
2025-11-12 10:24:26.569 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:24:26.732 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch74
2025-11-12 10:24:30.185 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 74/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.164s, data_time: 0.026s, total_loss: 6.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.319e-03, size: 448, ETA: 3:10:18
2025-11-12 10:24:33.587 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 74/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.164s, data_time: 0.042s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 9.316e-03, size: 480, ETA: 3:10:14
2025-11-12 10:24:37.111 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 74/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.164s, data_time: 0.041s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.313e-03, size: 448, ETA: 3:10:10
2025-11-12 10:24:40.494 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 74/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.164s, data_time: 0.043s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.310e-03, size: 352, ETA: 3:10:06
2025-11-12 10:24:44.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 74/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.177s, data_time: 0.081s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.307e-03, size: 448, ETA: 3:10:04
2025-11-12 10:24:47.540 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 74/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.304e-03, size: 352, ETA: 3:10:01
2025-11-12 10:24:49.002 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:24:49.032 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch75
2025-11-12 10:24:52.545 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 75/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 7.5, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 9.299e-03, size: 512, ETA: 3:09:57
2025-11-12 10:24:56.143 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 75/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.296e-03, size: 448, ETA: 3:09:54
2025-11-12 10:24:59.567 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 75/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.166s, data_time: 0.077s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.7, lr: 9.293e-03, size: 480, ETA: 3:09:51
2025-11-12 10:25:03.172 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 75/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.180s, data_time: 0.078s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.290e-03, size: 288, ETA: 3:09:49
2025-11-12 10:25:06.659 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 75/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.287e-03, size: 480, ETA: 3:09:46
2025-11-12 10:25:10.123 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 75/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.284e-03, size: 544, ETA: 3:09:43
2025-11-12 10:25:11.799 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:25:16.798 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:25:23.118 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:25:28.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5402
2025-11-12 10:25:28.561 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4433
2025-11-12 10:25:28.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2495
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4110
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.540
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.443
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.249
2025-11-12 10:25:28.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.411
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:25:28.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:25:34.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:25:39.373 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:25:44.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:25:50.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:25:55.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:26:00.874 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:26:06.224 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:26:11.553 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:26:16.943 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:26:16.944 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.19
2025-11-12 10:26:16.944 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.41
2025-11-12 10:26:16.944 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:26:16.970 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.71 ms, Average inference time: 1.32 ms

2025-11-12 10:26:16.971 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:26:16.993 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:26:17.024 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch76
2025-11-12 10:26:20.091 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 76/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.153s, data_time: 0.057s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.280e-03, size: 544, ETA: 3:09:37
2025-11-12 10:26:23.581 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 76/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.276e-03, size: 576, ETA: 3:09:34
2025-11-12 10:26:27.058 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 76/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.273e-03, size: 576, ETA: 3:09:31
2025-11-12 10:26:30.610 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 76/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 5.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 9.270e-03, size: 416, ETA: 3:09:28
2025-11-12 10:26:34.115 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 76/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.167s, data_time: 0.078s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.267e-03, size: 256, ETA: 3:09:24
2025-11-12 10:26:37.683 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 76/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.168s, data_time: 0.066s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.264e-03, size: 576, ETA: 3:09:21
2025-11-12 10:26:39.263 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:26:39.294 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch77
2025-11-12 10:26:42.849 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 77/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.259e-03, size: 576, ETA: 3:09:18
2025-11-12 10:26:46.269 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 77/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 7.1, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.256e-03, size: 320, ETA: 3:09:15
2025-11-12 10:26:49.791 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 77/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.253e-03, size: 256, ETA: 3:09:12
2025-11-12 10:26:53.321 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 77/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.170s, data_time: 0.051s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.250e-03, size: 416, ETA: 3:09:09
2025-11-12 10:26:56.802 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 77/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.066s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 9.247e-03, size: 576, ETA: 3:09:06
2025-11-12 10:27:00.207 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 77/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.244e-03, size: 512, ETA: 3:09:03
2025-11-12 10:27:01.795 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:27:01.825 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch78
2025-11-12 10:27:05.441 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 78/600, iter: 20/129, gpu mem: 2795Mb, mem: 98.0Gb, iter_time: 0.179s, data_time: 0.076s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.239e-03, size: 512, ETA: 3:09:00
2025-11-12 10:27:08.844 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 78/600, iter: 40/129, gpu mem: 2795Mb, mem: 98.5Gb, iter_time: 0.168s, data_time: 0.066s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.236e-03, size: 480, ETA: 3:08:56
2025-11-12 10:27:12.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 78/600, iter: 60/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.174s, data_time: 0.073s, total_loss: 6.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.233e-03, size: 416, ETA: 3:08:54
2025-11-12 10:27:15.869 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 78/600, iter: 80/129, gpu mem: 2795Mb, mem: 98.5Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 7.9, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.2, lr: 9.229e-03, size: 352, ETA: 3:08:51
2025-11-12 10:27:19.451 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 78/600, iter: 100/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.226e-03, size: 576, ETA: 3:08:49
2025-11-12 10:27:22.915 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 78/600, iter: 120/129, gpu mem: 2795Mb, mem: 98.5Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 9.223e-03, size: 544, ETA: 3:08:46
2025-11-12 10:27:24.451 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:27:24.481 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch79
2025-11-12 10:27:28.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 79/600, iter: 20/129, gpu mem: 2795Mb, mem: 98.5Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.218e-03, size: 576, ETA: 3:08:42
2025-11-12 10:27:31.454 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 79/600, iter: 40/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.168s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.215e-03, size: 320, ETA: 3:08:38
2025-11-12 10:27:35.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 79/600, iter: 60/129, gpu mem: 2795Mb, mem: 98.5Gb, iter_time: 0.176s, data_time: 0.082s, total_loss: 7.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.212e-03, size: 576, ETA: 3:08:36
2025-11-12 10:27:38.432 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 79/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.167s, data_time: 0.073s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.209e-03, size: 576, ETA: 3:08:32
2025-11-12 10:27:42.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 79/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.2, lr: 9.206e-03, size: 320, ETA: 3:08:30
2025-11-12 10:27:45.566 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 79/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.175s, data_time: 0.084s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.202e-03, size: 352, ETA: 3:08:27
2025-11-12 10:27:47.180 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:27:47.209 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch80
2025-11-12 10:27:50.726 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 80/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 6.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.198e-03, size: 320, ETA: 3:08:24
2025-11-12 10:27:54.228 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 80/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.194e-03, size: 576, ETA: 3:08:21
2025-11-12 10:27:57.753 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 80/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.191e-03, size: 512, ETA: 3:08:19
2025-11-12 10:28:01.289 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 80/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 9.188e-03, size: 288, ETA: 3:08:16
2025-11-12 10:28:04.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 80/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.173s, data_time: 0.081s, total_loss: 7.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.184e-03, size: 384, ETA: 3:08:13
2025-11-12 10:28:08.403 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 80/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.1Gb, iter_time: 0.179s, data_time: 0.077s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 9.181e-03, size: 320, ETA: 3:08:11
2025-11-12 10:28:09.911 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:28:14.774 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:28:25.524 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:28:33.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4270
2025-11-12 10:28:34.498 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4204
2025-11-12 10:28:34.568 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.1939
2025-11-12 10:28:34.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3471
2025-11-12 10:28:34.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:28:34.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:28:34.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.427
2025-11-12 10:28:34.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.420
2025-11-12 10:28:34.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.194
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.347
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:28:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:28:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:28:43.522 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:28:52.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:29:01.558 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:29:10.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:29:20.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:29:28.958 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:29:37.991 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:29:47.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:29:56.064 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:29:56.064 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.16
2025-11-12 10:29:56.065 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.35
2025-11-12 10:29:56.065 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:29:56.081 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.79 ms, Average inference time: 1.41 ms

2025-11-12 10:29:56.082 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:29:56.105 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:29:56.136 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch81
2025-11-12 10:29:59.370 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 81/600, iter: 20/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.159s, data_time: 0.069s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.176e-03, size: 512, ETA: 3:08:05
2025-11-12 10:30:02.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 81/600, iter: 40/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.175s, data_time: 0.087s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.173e-03, size: 544, ETA: 3:08:03
2025-11-12 10:30:06.459 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 81/600, iter: 60/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.170e-03, size: 544, ETA: 3:08:00
2025-11-12 10:30:09.946 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 81/600, iter: 80/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.166e-03, size: 480, ETA: 3:07:57
2025-11-12 10:30:13.526 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 81/600, iter: 100/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.163e-03, size: 480, ETA: 3:07:55
2025-11-12 10:30:17.162 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 81/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.181s, data_time: 0.080s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 9.160e-03, size: 352, ETA: 3:07:53
2025-11-12 10:30:18.812 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:30:18.857 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch82
2025-11-12 10:30:22.402 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 82/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.077s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.155e-03, size: 320, ETA: 3:07:50
2025-11-12 10:30:25.936 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 82/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.152e-03, size: 352, ETA: 3:07:47
2025-11-12 10:30:29.363 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 82/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.070s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.148e-03, size: 512, ETA: 3:07:44
2025-11-12 10:30:32.874 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 82/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.145e-03, size: 416, ETA: 3:07:41
2025-11-12 10:30:36.507 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 82/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.180s, data_time: 0.086s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.142e-03, size: 416, ETA: 3:07:39
2025-11-12 10:30:39.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 82/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 9.138e-03, size: 320, ETA: 3:07:36
2025-11-12 10:30:41.488 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:30:41.535 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch83
2025-11-12 10:30:45.126 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 83/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.176s, data_time: 0.082s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.133e-03, size: 576, ETA: 3:07:32
2025-11-12 10:30:48.596 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 83/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.130e-03, size: 544, ETA: 3:07:29
2025-11-12 10:30:52.134 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 83/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.127e-03, size: 416, ETA: 3:07:26
2025-11-12 10:30:55.633 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 83/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.123e-03, size: 480, ETA: 3:07:23
2025-11-12 10:30:59.248 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 83/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.178s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 9.120e-03, size: 320, ETA: 3:07:21
2025-11-12 10:31:02.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 83/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.116e-03, size: 448, ETA: 3:07:18
2025-11-12 10:31:04.328 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:31:04.358 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch84
2025-11-12 10:31:07.906 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 84/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.086s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.112e-03, size: 288, ETA: 3:07:15
2025-11-12 10:31:11.438 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 84/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 7.6, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 9.108e-03, size: 320, ETA: 3:07:12
2025-11-12 10:31:14.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 84/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.166s, data_time: 0.081s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.105e-03, size: 352, ETA: 3:07:08
2025-11-12 10:31:18.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 84/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.163s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.101e-03, size: 288, ETA: 3:07:04
2025-11-12 10:31:21.803 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 84/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.084s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.098e-03, size: 320, ETA: 3:07:02
2025-11-12 10:31:25.350 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 84/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.094e-03, size: 384, ETA: 3:06:59
2025-11-12 10:31:26.812 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:31:26.847 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch85
2025-11-12 10:31:30.329 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 85/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.089e-03, size: 512, ETA: 3:06:54
2025-11-12 10:31:33.900 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 85/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.175s, data_time: 0.044s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.086e-03, size: 320, ETA: 3:06:52
2025-11-12 10:31:37.316 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 85/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.167s, data_time: 0.042s, total_loss: 6.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 9.082e-03, size: 448, ETA: 3:06:48
2025-11-12 10:31:40.864 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 85/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.039s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.079e-03, size: 352, ETA: 3:06:45
2025-11-12 10:31:44.320 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 85/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.169s, data_time: 0.051s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.076e-03, size: 512, ETA: 3:06:42
2025-11-12 10:31:47.868 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 85/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.174s, data_time: 0.037s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.072e-03, size: 576, ETA: 3:06:39
2025-11-12 10:31:49.342 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:31:54.415 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:31:56.764 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:31:58.104 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5035
2025-11-12 10:31:58.503 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4125
2025-11-12 10:31:58.584 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2364
2025-11-12 10:31:58.584 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3842
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.504
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.413
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.236
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.384
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:31:58.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:31:58.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:31:58.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:31:58.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:31:58.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:31:58.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:32:00.353 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:32:02.196 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:32:04.019 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:32:05.850 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:32:07.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:32:09.456 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:32:11.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:32:13.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:32:14.863 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:32:14.863 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.18
2025-11-12 10:32:14.863 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.38
2025-11-12 10:32:14.864 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:32:14.887 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.78 ms, Average inference time: 1.39 ms

2025-11-12 10:32:14.888 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:32:14.911 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:32:14.940 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch86
2025-11-12 10:32:17.999 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 86/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.151s, data_time: 0.056s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.067e-03, size: 384, ETA: 3:06:32
2025-11-12 10:32:21.484 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 86/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.070s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.064e-03, size: 416, ETA: 3:06:29
2025-11-12 10:32:25.162 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 86/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.183s, data_time: 0.084s, total_loss: 7.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.8, lr: 9.060e-03, size: 576, ETA: 3:06:27
2025-11-12 10:32:28.760 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 86/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.079s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.057e-03, size: 320, ETA: 3:06:25
2025-11-12 10:32:32.279 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 86/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 9.053e-03, size: 544, ETA: 3:06:22
2025-11-12 10:32:35.760 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 86/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 9.050e-03, size: 480, ETA: 3:06:19
2025-11-12 10:32:37.321 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:32:37.377 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch87
2025-11-12 10:32:40.893 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 87/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.035s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 9.044e-03, size: 256, ETA: 3:06:14
2025-11-12 10:32:44.367 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 87/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.050s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.041e-03, size: 480, ETA: 3:06:11
2025-11-12 10:32:47.862 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 87/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 7.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 9.037e-03, size: 416, ETA: 3:06:08
2025-11-12 10:32:51.479 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 87/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.2Gb, iter_time: 0.180s, data_time: 0.083s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.034e-03, size: 320, ETA: 3:06:06
2025-11-12 10:32:55.081 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 87/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.081s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.030e-03, size: 480, ETA: 3:06:04
2025-11-12 10:32:58.699 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 87/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.082s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 9.027e-03, size: 512, ETA: 3:06:01
2025-11-12 10:33:00.340 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:33:00.386 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch88
2025-11-12 10:33:04.365 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 88/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.198s, data_time: 0.100s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 9.022e-03, size: 512, ETA: 3:06:00
2025-11-12 10:33:07.926 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 88/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.018e-03, size: 384, ETA: 3:05:58
2025-11-12 10:33:11.536 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 88/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.179s, data_time: 0.078s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 9.014e-03, size: 512, ETA: 3:05:56
2025-11-12 10:33:14.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 88/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 9.011e-03, size: 352, ETA: 3:05:53
2025-11-12 10:33:18.424 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 88/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.166s, data_time: 0.071s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.007e-03, size: 576, ETA: 3:05:49
2025-11-12 10:33:21.965 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 88/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.063s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.004e-03, size: 288, ETA: 3:05:46
2025-11-12 10:33:23.376 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:33:23.411 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch89
2025-11-12 10:33:26.976 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 89/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.087s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 8.998e-03, size: 544, ETA: 3:05:41
2025-11-12 10:33:30.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 89/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.079s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 8.995e-03, size: 576, ETA: 3:05:37
2025-11-12 10:33:33.877 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 89/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.084s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.991e-03, size: 544, ETA: 3:05:34
2025-11-12 10:33:37.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 89/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.092s, total_loss: 7.4, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.988e-03, size: 256, ETA: 3:05:31
2025-11-12 10:33:41.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 89/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.073s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.984e-03, size: 416, ETA: 3:05:29
2025-11-12 10:33:44.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 89/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.980e-03, size: 480, ETA: 3:05:25
2025-11-12 10:33:46.127 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:33:46.157 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch90
2025-11-12 10:33:49.575 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 90/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.164s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 8.975e-03, size: 480, ETA: 3:05:21
2025-11-12 10:33:53.135 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 90/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.031s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 8.972e-03, size: 288, ETA: 3:05:18
2025-11-12 10:33:56.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 90/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.002s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.968e-03, size: 256, ETA: 3:05:14
2025-11-12 10:34:00.210 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 90/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.003s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 8.964e-03, size: 320, ETA: 3:05:11
2025-11-12 10:34:03.678 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 90/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.163s, data_time: 0.004s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.961e-03, size: 544, ETA: 3:05:07
2025-11-12 10:34:07.115 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 90/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.026s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.957e-03, size: 384, ETA: 3:05:03
2025-11-12 10:34:08.717 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:34:13.539 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:34:15.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:34:16.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4923
2025-11-12 10:34:16.636 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.3974
2025-11-12 10:34:16.725 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2544
2025-11-12 10:34:16.726 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3814
2025-11-12 10:34:16.726 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.492
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.397
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.254
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.381
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:34:16.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:34:16.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:34:16.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:34:16.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:34:16.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:34:16.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:34:16.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:34:18.043 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:34:19.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:34:20.635 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:34:21.964 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:34:23.273 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:34:24.559 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:34:25.891 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:34:27.205 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:34:28.677 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:34:28.677 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.19
2025-11-12 10:34:28.677 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.38
2025-11-12 10:34:28.677 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:34:28.685 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.70 ms, Average inference time: 1.36 ms

2025-11-12 10:34:28.686 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:34:28.713 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:34:28.745 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch91
2025-11-12 10:34:31.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 91/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.156s, data_time: 0.058s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.952e-03, size: 352, ETA: 3:04:58
2025-11-12 10:34:35.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 91/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.176s, data_time: 0.083s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.948e-03, size: 384, ETA: 3:04:55
2025-11-12 10:34:39.064 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 91/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.181s, data_time: 0.085s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 8.944e-03, size: 544, ETA: 3:04:53
2025-11-12 10:34:42.528 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 91/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 8.941e-03, size: 352, ETA: 3:04:50
2025-11-12 10:34:46.135 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 91/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.167s, data_time: 0.061s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 8.937e-03, size: 256, ETA: 3:04:46
2025-11-12 10:34:49.707 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 91/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.157s, data_time: 0.016s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.933e-03, size: 384, ETA: 3:04:41
2025-11-12 10:34:51.221 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:34:51.251 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch92
2025-11-12 10:34:54.789 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 92/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.158s, data_time: 0.016s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.928e-03, size: 384, ETA: 3:04:35
2025-11-12 10:34:58.244 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 92/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.156s, data_time: 0.011s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.924e-03, size: 320, ETA: 3:04:30
2025-11-12 10:35:01.804 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 92/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.920e-03, size: 544, ETA: 3:04:27
2025-11-12 10:35:05.274 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 92/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.917e-03, size: 288, ETA: 3:04:24
2025-11-12 10:35:08.784 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 92/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.913e-03, size: 384, ETA: 3:04:22
2025-11-12 10:35:12.266 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 92/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.159s, data_time: 0.005s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 8.909e-03, size: 576, ETA: 3:04:17
2025-11-12 10:35:13.853 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:35:13.977 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch93
2025-11-12 10:35:17.392 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 93/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.159s, data_time: 0.016s, total_loss: 7.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 8.904e-03, size: 480, ETA: 3:04:11
2025-11-12 10:35:20.959 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 93/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.159s, data_time: 0.018s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.900e-03, size: 512, ETA: 3:04:06
2025-11-12 10:35:24.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 93/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.150s, data_time: 0.010s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 8.896e-03, size: 320, ETA: 3:04:01
2025-11-12 10:35:27.908 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 93/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.893e-03, size: 512, ETA: 3:03:58
2025-11-12 10:35:31.435 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 93/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.069s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.889e-03, size: 288, ETA: 3:03:55
2025-11-12 10:35:35.017 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 93/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.176s, data_time: 0.075s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 8.885e-03, size: 576, ETA: 3:03:53
2025-11-12 10:35:36.601 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:35:36.630 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch94
2025-11-12 10:35:40.132 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 94/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.084s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 8.880e-03, size: 576, ETA: 3:03:48
2025-11-12 10:35:43.715 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 94/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.176s, data_time: 0.084s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.876e-03, size: 576, ETA: 3:03:46
2025-11-12 10:35:47.204 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 94/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.7, lr: 8.872e-03, size: 384, ETA: 3:03:43
2025-11-12 10:35:50.761 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 94/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.171s, data_time: 0.086s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.868e-03, size: 320, ETA: 3:03:40
2025-11-12 10:35:54.290 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 94/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.086s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 8.864e-03, size: 384, ETA: 3:03:37
2025-11-12 10:35:57.820 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 94/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.084s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 8.861e-03, size: 416, ETA: 3:03:34
2025-11-12 10:35:59.281 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:35:59.327 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch95
2025-11-12 10:36:02.795 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 95/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 8.855e-03, size: 576, ETA: 3:03:29
2025-11-12 10:36:06.279 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 95/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.074s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.851e-03, size: 256, ETA: 3:03:26
2025-11-12 10:36:09.835 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 95/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.170s, data_time: 0.064s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.847e-03, size: 352, ETA: 3:03:22
2025-11-12 10:36:13.327 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 95/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.083s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.844e-03, size: 256, ETA: 3:03:19
2025-11-12 10:36:16.839 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 95/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.082s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 8.840e-03, size: 384, ETA: 3:03:16
2025-11-12 10:36:20.325 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 95/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.041s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.836e-03, size: 384, ETA: 3:03:13
2025-11-12 10:36:21.945 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:36:26.747 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:36:30.086 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:36:32.427 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5520
2025-11-12 10:36:32.778 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4793
2025-11-12 10:36:32.836 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2794
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4369
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.552
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.479
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.279
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.437
2025-11-12 10:36:32.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:36:32.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:36:35.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:36:38.319 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:36:41.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:36:43.803 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:36:46.480 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:36:49.211 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:36:51.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:36:54.694 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:36:57.409 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:36:57.409 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.22
2025-11-12 10:36:57.410 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.44
2025-11-12 10:36:57.410 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:36:57.434 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.67 ms, Average inference time: 1.28 ms

2025-11-12 10:36:57.437 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:36:57.463 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:36:57.496 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch96
2025-11-12 10:37:00.669 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 96/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.157s, data_time: 0.059s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.830e-03, size: 256, ETA: 3:03:08
2025-11-12 10:37:04.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 96/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.181s, data_time: 0.084s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.826e-03, size: 480, ETA: 3:03:06
2025-11-12 10:37:07.812 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 96/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 8.823e-03, size: 384, ETA: 3:03:03
2025-11-12 10:37:11.223 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 96/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.819e-03, size: 416, ETA: 3:02:59
2025-11-12 10:37:14.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 96/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.180s, data_time: 0.085s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 8.815e-03, size: 544, ETA: 3:02:57
2025-11-12 10:37:18.321 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 96/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.811e-03, size: 320, ETA: 3:02:54
2025-11-12 10:37:19.856 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:37:19.887 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch97
2025-11-12 10:37:23.448 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 97/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.084s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.805e-03, size: 544, ETA: 3:02:50
2025-11-12 10:37:26.889 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 97/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.802e-03, size: 448, ETA: 3:02:46
2025-11-12 10:37:30.330 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 97/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 8.798e-03, size: 256, ETA: 3:02:43
2025-11-12 10:37:33.836 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 97/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.794e-03, size: 576, ETA: 3:02:40
2025-11-12 10:37:37.466 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 97/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.162s, data_time: 0.068s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.790e-03, size: 576, ETA: 3:02:36
2025-11-12 10:37:40.910 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 97/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.786e-03, size: 288, ETA: 3:02:33
2025-11-12 10:37:42.569 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:37:42.599 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch98
2025-11-12 10:37:46.117 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 98/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.780e-03, size: 576, ETA: 3:02:29
2025-11-12 10:37:49.689 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 98/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.776e-03, size: 384, ETA: 3:02:26
2025-11-12 10:37:53.089 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 98/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.161s, data_time: 0.063s, total_loss: 7.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.2, lr: 8.772e-03, size: 256, ETA: 3:02:22
2025-11-12 10:37:56.630 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 98/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.164s, data_time: 0.072s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.768e-03, size: 544, ETA: 3:02:18
2025-11-12 10:38:00.084 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 98/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.167s, data_time: 0.068s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 8.765e-03, size: 480, ETA: 3:02:15
2025-11-12 10:38:03.590 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 98/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.761e-03, size: 320, ETA: 3:02:12
2025-11-12 10:38:05.112 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:38:05.306 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch99
2025-11-12 10:38:08.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 99/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.151s, data_time: 0.048s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.755e-03, size: 352, ETA: 3:02:04
2025-11-12 10:38:12.250 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 99/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.167s, data_time: 0.074s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.751e-03, size: 288, ETA: 3:02:00
2025-11-12 10:38:15.652 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 99/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.081s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.747e-03, size: 416, ETA: 3:01:57
2025-11-12 10:38:19.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 99/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 7.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 0.8, lr: 8.743e-03, size: 512, ETA: 3:01:55
2025-11-12 10:38:22.699 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 99/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.167s, data_time: 0.065s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.739e-03, size: 448, ETA: 3:01:51
2025-11-12 10:38:26.246 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 99/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.046s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.735e-03, size: 288, ETA: 3:01:48
2025-11-12 10:38:27.749 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:38:27.940 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch100
2025-11-12 10:38:31.357 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 100/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.168s, data_time: 0.065s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 8.729e-03, size: 416, ETA: 3:01:43
2025-11-12 10:38:34.838 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 100/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.063s, total_loss: 7.5, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.1, lr: 8.725e-03, size: 256, ETA: 3:01:39
2025-11-12 10:38:38.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 100/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 8.721e-03, size: 416, ETA: 3:01:37
2025-11-12 10:38:41.848 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 100/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.070s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 8.717e-03, size: 256, ETA: 3:01:34
2025-11-12 10:38:45.348 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 100/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.713e-03, size: 320, ETA: 3:01:30
2025-11-12 10:38:48.794 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 100/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.165s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 8.709e-03, size: 288, ETA: 3:01:26
2025-11-12 10:38:50.398 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:38:55.236 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:38:57.715 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:38:59.183 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5359
2025-11-12 10:38:59.505 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4566
2025-11-12 10:38:59.621 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2808
2025-11-12 10:38:59.622 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4244
2025-11-12 10:38:59.622 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:38:59.622 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.536
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.457
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.281
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.424
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:38:59.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:38:59.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:38:59.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:38:59.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:38:59.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:39:01.508 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:39:03.346 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:39:05.253 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:39:07.136 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:39:09.024 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:39:10.901 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:39:12.788 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:39:14.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:39:16.597 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:39:16.598 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 10:39:16.598 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:39:16.598 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:39:16.623 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.68 ms, Average inference time: 1.29 ms

2025-11-12 10:39:16.623 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:39:16.646 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:39:16.675 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch101
2025-11-12 10:39:19.745 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 101/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.151s, data_time: 0.058s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 8.703e-03, size: 480, ETA: 3:01:19
2025-11-12 10:39:23.338 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 101/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 7.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 8.699e-03, size: 288, ETA: 3:01:16
2025-11-12 10:39:26.848 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 101/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.695e-03, size: 416, ETA: 3:01:12
2025-11-12 10:39:30.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 101/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 8.691e-03, size: 448, ETA: 3:01:09
2025-11-12 10:39:34.025 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 101/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.179s, data_time: 0.079s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.687e-03, size: 320, ETA: 3:01:07
2025-11-12 10:39:37.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 101/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.179s, data_time: 0.088s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.683e-03, size: 576, ETA: 3:01:05
2025-11-12 10:39:39.259 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:39:39.289 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch102
2025-11-12 10:39:42.740 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 102/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.677e-03, size: 288, ETA: 3:01:00
2025-11-12 10:39:46.277 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 102/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.673e-03, size: 576, ETA: 3:00:58
2025-11-12 10:39:49.807 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 102/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.669e-03, size: 448, ETA: 3:00:55
2025-11-12 10:39:53.515 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 102/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.184s, data_time: 0.086s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.665e-03, size: 320, ETA: 3:00:53
2025-11-12 10:39:57.073 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 102/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 8.661e-03, size: 288, ETA: 3:00:50
2025-11-12 10:40:00.676 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 102/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.089s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.657e-03, size: 480, ETA: 3:00:48
2025-11-12 10:40:02.143 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:40:02.186 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch103
2025-11-12 10:40:05.571 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 103/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.651e-03, size: 544, ETA: 3:00:42
2025-11-12 10:40:09.191 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 103/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.073s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.647e-03, size: 512, ETA: 3:00:40
2025-11-12 10:40:12.750 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 103/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.078s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.643e-03, size: 256, ETA: 3:00:37
2025-11-12 10:40:16.431 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 103/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.183s, data_time: 0.094s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.639e-03, size: 544, ETA: 3:00:35
2025-11-12 10:40:20.072 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 103/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.181s, data_time: 0.081s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 8.635e-03, size: 480, ETA: 3:00:33
2025-11-12 10:40:23.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 103/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.168s, data_time: 0.078s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.631e-03, size: 256, ETA: 3:00:30
2025-11-12 10:40:24.935 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:40:24.984 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch104
2025-11-12 10:40:28.505 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 104/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.165s, data_time: 0.065s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 8.625e-03, size: 448, ETA: 3:00:24
2025-11-12 10:40:32.082 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 104/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.620e-03, size: 416, ETA: 3:00:21
2025-11-12 10:40:35.661 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 104/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.616e-03, size: 512, ETA: 3:00:18
2025-11-12 10:40:39.283 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 104/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.180s, data_time: 0.087s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.612e-03, size: 544, ETA: 3:00:16
2025-11-12 10:40:42.828 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 104/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.608e-03, size: 352, ETA: 3:00:13
2025-11-12 10:40:46.362 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 104/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.076s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.604e-03, size: 384, ETA: 3:00:10
2025-11-12 10:40:47.928 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:40:47.977 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch105
2025-11-12 10:40:51.510 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 105/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.086s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 8.598e-03, size: 416, ETA: 3:00:06
2025-11-12 10:40:55.152 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 105/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.177s, data_time: 0.100s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.594e-03, size: 384, ETA: 3:00:03
2025-11-12 10:40:58.770 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 105/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.175s, data_time: 0.096s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.590e-03, size: 288, ETA: 3:00:00
2025-11-12 10:41:02.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 105/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.585e-03, size: 512, ETA: 2:59:57
2025-11-12 10:41:05.721 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 105/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.581e-03, size: 384, ETA: 2:59:54
2025-11-12 10:41:09.187 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 105/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.070s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.577e-03, size: 512, ETA: 2:59:51
2025-11-12 10:41:10.825 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:41:15.715 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:41:23.627 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:41:28.376 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5204
2025-11-12 10:41:28.860 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4693
2025-11-12 10:41:28.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2796
2025-11-12 10:41:28.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4231
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.520
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.469
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.280
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.423
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:41:28.948 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:41:28.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:41:28.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:41:28.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:41:28.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:41:28.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:41:34.300 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:41:39.602 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:41:44.869 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:41:50.186 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:41:55.430 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:42:00.676 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:42:05.962 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:42:11.206 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:42:16.506 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:42:16.506 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.18
2025-11-12 10:42:16.506 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:42:16.506 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:42:16.531 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.73 ms, Average inference time: 1.36 ms

2025-11-12 10:42:16.532 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:42:16.559 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:42:16.593 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch106
2025-11-12 10:42:19.767 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 106/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.158s, data_time: 0.056s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 8.571e-03, size: 544, ETA: 2:59:45
2025-11-12 10:42:23.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 106/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.162s, data_time: 0.060s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.567e-03, size: 352, ETA: 2:59:41
2025-11-12 10:42:26.802 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 106/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.563e-03, size: 576, ETA: 2:59:38
2025-11-12 10:42:30.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 106/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.558e-03, size: 480, ETA: 2:59:34
2025-11-12 10:42:33.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 106/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.176s, data_time: 0.070s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.554e-03, size: 416, ETA: 2:59:32
2025-11-12 10:42:37.287 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 106/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.156s, data_time: 0.010s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.550e-03, size: 320, ETA: 2:59:27
2025-11-12 10:42:38.888 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:42:38.936 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch107
2025-11-12 10:42:42.321 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 107/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.165s, data_time: 0.067s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.544e-03, size: 320, ETA: 2:59:22
2025-11-12 10:42:45.820 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 107/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 8.540e-03, size: 384, ETA: 2:59:19
2025-11-12 10:42:49.340 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 107/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.535e-03, size: 352, ETA: 2:59:16
2025-11-12 10:42:52.905 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 107/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.081s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.531e-03, size: 320, ETA: 2:59:14
2025-11-12 10:42:56.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 107/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 8.527e-03, size: 256, ETA: 2:59:11
2025-11-12 10:42:59.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 107/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 7.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 8.523e-03, size: 576, ETA: 2:59:08
2025-11-12 10:43:01.477 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:43:01.507 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch108
2025-11-12 10:43:04.958 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 108/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.517e-03, size: 544, ETA: 2:59:04
2025-11-12 10:43:08.524 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 108/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.081s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 8.512e-03, size: 384, ETA: 2:59:01
2025-11-12 10:43:12.166 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 108/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.181s, data_time: 0.086s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.508e-03, size: 320, ETA: 2:58:59
2025-11-12 10:43:15.600 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 108/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 7.5, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 8.504e-03, size: 320, ETA: 2:58:55
2025-11-12 10:43:19.057 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 108/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.071s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.500e-03, size: 320, ETA: 2:58:52
2025-11-12 10:43:22.680 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 108/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.180s, data_time: 0.085s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 8.495e-03, size: 512, ETA: 2:58:50
2025-11-12 10:43:24.240 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:43:24.289 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch109
2025-11-12 10:43:27.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 109/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.181s, data_time: 0.082s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 8.489e-03, size: 544, ETA: 2:58:46
2025-11-12 10:43:31.277 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 109/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.166s, data_time: 0.075s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 8.485e-03, size: 320, ETA: 2:58:42
2025-11-12 10:43:34.802 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 109/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.086s, total_loss: 7.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 8.480e-03, size: 544, ETA: 2:58:39
2025-11-12 10:43:38.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 109/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.173s, data_time: 0.090s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.7, lr: 8.476e-03, size: 512, ETA: 2:58:36
2025-11-12 10:43:41.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 109/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.058s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.472e-03, size: 256, ETA: 2:58:33
2025-11-12 10:43:45.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 109/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.166s, data_time: 0.043s, total_loss: 7.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.2, lr: 8.468e-03, size: 384, ETA: 2:58:30
2025-11-12 10:43:47.009 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:43:47.041 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch110
2025-11-12 10:43:50.449 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 110/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.167s, data_time: 0.060s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.461e-03, size: 544, ETA: 2:58:25
2025-11-12 10:43:53.978 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 110/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.172s, data_time: 0.094s, total_loss: 8.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 4.5, cls_loss: 1.0, lr: 8.457e-03, size: 576, ETA: 2:58:22
2025-11-12 10:43:57.453 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 110/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.099s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 8.453e-03, size: 416, ETA: 2:58:19
2025-11-12 10:44:01.095 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 110/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.099s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.448e-03, size: 512, ETA: 2:58:16
2025-11-12 10:44:04.481 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 110/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.168s, data_time: 0.066s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.444e-03, size: 320, ETA: 2:58:13
2025-11-12 10:44:08.154 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 110/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.182s, data_time: 0.082s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 8.440e-03, size: 544, ETA: 2:58:10
2025-11-12 10:44:09.648 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:44:14.480 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:44:16.410 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:44:17.582 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5156
2025-11-12 10:44:17.871 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4728
2025-11-12 10:44:17.912 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2590
2025-11-12 10:44:17.913 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4158
2025-11-12 10:44:17.913 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:44:17.913 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:44:17.913 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.516
2025-11-12 10:44:17.913 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.473
2025-11-12 10:44:17.913 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.259
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.416
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:44:17.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:44:19.398 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:44:20.910 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:44:22.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:44:23.872 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:44:25.328 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:44:26.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:44:28.227 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:44:29.672 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:44:31.163 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:44:31.163 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.17
2025-11-12 10:44:31.163 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:44:31.164 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:44:31.185 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.73 ms, Average inference time: 1.38 ms

2025-11-12 10:44:31.187 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:44:31.209 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:44:31.239 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch111
2025-11-12 10:44:34.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 111/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.152s, data_time: 0.053s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.433e-03, size: 512, ETA: 2:58:04
2025-11-12 10:44:37.900 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 111/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.082s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.429e-03, size: 416, ETA: 2:58:01
2025-11-12 10:44:41.582 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 111/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.182s, data_time: 0.033s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 8.425e-03, size: 544, ETA: 2:57:59
2025-11-12 10:44:45.031 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 111/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.3Gb, iter_time: 0.170s, data_time: 0.002s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 8.420e-03, size: 512, ETA: 2:57:56
2025-11-12 10:44:48.537 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 111/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.014s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 8.416e-03, size: 544, ETA: 2:57:53
2025-11-12 10:44:52.022 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 111/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.056s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.412e-03, size: 480, ETA: 2:57:49
2025-11-12 10:44:53.538 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:44:53.625 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch112
2025-11-12 10:44:57.192 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 112/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.062s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.405e-03, size: 320, ETA: 2:57:44
2025-11-12 10:45:00.721 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 112/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.089s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 8.401e-03, size: 320, ETA: 2:57:41
2025-11-12 10:45:04.283 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 112/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.176s, data_time: 0.088s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 8.396e-03, size: 576, ETA: 2:57:39
2025-11-12 10:45:07.818 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 112/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.085s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 8.392e-03, size: 544, ETA: 2:57:36
2025-11-12 10:45:11.249 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 112/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.388e-03, size: 288, ETA: 2:57:32
2025-11-12 10:45:14.709 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 112/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 8.383e-03, size: 448, ETA: 2:57:29
2025-11-12 10:45:16.241 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:45:16.285 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch113
2025-11-12 10:45:19.919 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 113/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.081s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.377e-03, size: 512, ETA: 2:57:25
2025-11-12 10:45:23.269 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 113/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.161s, data_time: 0.070s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.372e-03, size: 384, ETA: 2:57:21
2025-11-12 10:45:26.795 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 113/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 8.368e-03, size: 416, ETA: 2:57:18
2025-11-12 10:45:30.418 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 113/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.180s, data_time: 0.079s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.364e-03, size: 480, ETA: 2:57:15
2025-11-12 10:45:33.907 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 113/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.068s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.359e-03, size: 448, ETA: 2:57:12
2025-11-12 10:45:37.497 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 113/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.085s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.355e-03, size: 384, ETA: 2:57:09
2025-11-12 10:45:39.206 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:45:39.235 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch114
2025-11-12 10:45:42.808 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 114/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.080s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.348e-03, size: 320, ETA: 2:57:05
2025-11-12 10:45:46.371 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 114/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.086s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 8.344e-03, size: 416, ETA: 2:57:03
2025-11-12 10:45:49.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 114/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 8.339e-03, size: 320, ETA: 2:57:00
2025-11-12 10:45:53.542 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 114/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.181s, data_time: 0.089s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.335e-03, size: 352, ETA: 2:56:57
2025-11-12 10:45:57.027 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 114/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.080s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.331e-03, size: 384, ETA: 2:56:54
2025-11-12 10:46:00.462 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 114/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.326e-03, size: 512, ETA: 2:56:51
2025-11-12 10:46:02.082 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:46:02.113 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch115
2025-11-12 10:46:05.670 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 115/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.078s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.320e-03, size: 320, ETA: 2:56:47
2025-11-12 10:46:09.282 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 115/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.180s, data_time: 0.084s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 8.315e-03, size: 416, ETA: 2:56:44
2025-11-12 10:46:12.856 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 115/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.081s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 8.311e-03, size: 352, ETA: 2:56:42
2025-11-12 10:46:16.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 115/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.087s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.306e-03, size: 576, ETA: 2:56:39
2025-11-12 10:46:20.024 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 115/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.180s, data_time: 0.086s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.302e-03, size: 352, ETA: 2:56:37
2025-11-12 10:46:23.692 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 115/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.182s, data_time: 0.091s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.297e-03, size: 576, ETA: 2:56:34
2025-11-12 10:46:25.242 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:46:30.102 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:46:32.050 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:46:33.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5194
2025-11-12 10:46:33.541 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4370
2025-11-12 10:46:33.607 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3028
2025-11-12 10:46:33.608 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4197
2025-11-12 10:46:33.608 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:46:33.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:46:33.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.519
2025-11-12 10:46:33.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.437
2025-11-12 10:46:33.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.303
2025-11-12 10:46:33.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.420
2025-11-12 10:46:33.609 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:46:33.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:46:33.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:46:33.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:46:33.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:46:33.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:46:33.610 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:46:33.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:46:33.611 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:46:35.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:46:36.748 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:46:38.294 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:46:39.869 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:46:41.395 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:46:42.978 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:46:44.505 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:46:46.041 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:46:47.610 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:46:47.611 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.18
2025-11-12 10:46:47.611 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:46:47.611 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:46:47.635 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.73 ms, Average inference time: 1.36 ms

2025-11-12 10:46:47.637 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:46:47.659 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:46:47.688 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch116
2025-11-12 10:46:50.835 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 116/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.157s, data_time: 0.060s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.291e-03, size: 352, ETA: 2:56:28
2025-11-12 10:46:54.398 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 116/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.085s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 8.286e-03, size: 384, ETA: 2:56:26
2025-11-12 10:46:57.895 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 116/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 8.282e-03, size: 288, ETA: 2:56:23
2025-11-12 10:47:01.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 116/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.277e-03, size: 480, ETA: 2:56:20
2025-11-12 10:47:04.956 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 116/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.273e-03, size: 384, ETA: 2:56:16
2025-11-12 10:47:08.447 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 116/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.085s, total_loss: 7.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 8.268e-03, size: 576, ETA: 2:56:13
2025-11-12 10:47:10.124 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:47:10.154 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch117
2025-11-12 10:47:13.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 117/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.088s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.262e-03, size: 480, ETA: 2:56:09
2025-11-12 10:47:17.171 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 117/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.257e-03, size: 544, ETA: 2:56:06
2025-11-12 10:47:20.761 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 117/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 8.253e-03, size: 448, ETA: 2:56:03
2025-11-12 10:47:24.392 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 117/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.181s, data_time: 0.079s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 8.248e-03, size: 544, ETA: 2:56:01
2025-11-12 10:47:27.955 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 117/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.177s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 8.243e-03, size: 512, ETA: 2:55:58
2025-11-12 10:47:31.414 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 117/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.071s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.239e-03, size: 288, ETA: 2:55:55
2025-11-12 10:47:32.891 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:47:32.921 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch118
2025-11-12 10:47:36.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 118/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.232e-03, size: 448, ETA: 2:55:50
2025-11-12 10:47:40.031 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 118/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.180s, data_time: 0.081s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 1.0, lr: 8.228e-03, size: 544, ETA: 2:55:48
2025-11-12 10:47:43.542 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 118/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.223e-03, size: 480, ETA: 2:55:44
2025-11-12 10:47:46.989 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 118/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.219e-03, size: 352, ETA: 2:55:41
2025-11-12 10:47:50.748 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 118/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.185s, data_time: 0.089s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.214e-03, size: 544, ETA: 2:55:39
2025-11-12 10:47:54.380 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 118/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.209e-03, size: 288, ETA: 2:55:36
2025-11-12 10:47:55.888 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:47:55.918 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch119
2025-11-12 10:47:59.398 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 119/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 8.203e-03, size: 320, ETA: 2:55:31
2025-11-12 10:48:02.969 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 119/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.081s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.198e-03, size: 384, ETA: 2:55:28
2025-11-12 10:48:06.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 119/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.194e-03, size: 544, ETA: 2:55:25
2025-11-12 10:48:09.841 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 119/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 8.189e-03, size: 288, ETA: 2:55:22
2025-11-12 10:48:13.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 119/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.164s, data_time: 0.068s, total_loss: 7.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 4.0, cls_loss: 0.9, lr: 8.184e-03, size: 576, ETA: 2:55:18
2025-11-12 10:48:16.831 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 119/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.157s, data_time: 0.019s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.180e-03, size: 384, ETA: 2:55:14
2025-11-12 10:48:18.430 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:48:18.458 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch120
2025-11-12 10:48:21.930 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 120/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.166s, data_time: 0.078s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 8.173e-03, size: 512, ETA: 2:55:09
2025-11-12 10:48:25.423 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 120/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.076s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.168e-03, size: 320, ETA: 2:55:06
2025-11-12 10:48:28.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 120/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.083s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.7, lr: 8.164e-03, size: 512, ETA: 2:55:02
2025-11-12 10:48:32.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 120/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.159s, data_time: 0.064s, total_loss: 8.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 4.2, cls_loss: 0.9, lr: 8.159e-03, size: 544, ETA: 2:54:58
2025-11-12 10:48:35.693 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 120/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.163s, data_time: 0.068s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.155e-03, size: 448, ETA: 2:54:54
2025-11-12 10:48:39.162 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 120/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.167s, data_time: 0.059s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.150e-03, size: 352, ETA: 2:54:51
2025-11-12 10:48:40.679 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:48:45.642 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:48:48.809 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:48:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5520
2025-11-12 10:48:51.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4783
2025-11-12 10:48:51.537 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2868
2025-11-12 10:48:51.537 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4390
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.552
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.478
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.287
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.439
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:48:51.538 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:48:51.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:48:51.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:48:51.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:48:51.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:48:51.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:48:51.539 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:48:54.207 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:48:56.868 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:48:59.521 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:49:02.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:49:04.803 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:49:07.373 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:49:10.046 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:49:12.695 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:49:15.265 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:49:15.266 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.21
2025-11-12 10:49:15.266 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.44
2025-11-12 10:49:15.266 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:49:15.291 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.69 ms, Average inference time: 1.30 ms

2025-11-12 10:49:15.292 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:49:15.315 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:49:15.347 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch121
2025-11-12 10:49:18.451 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 121/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.155s, data_time: 0.059s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.143e-03, size: 416, ETA: 2:54:44
2025-11-12 10:49:22.000 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 121/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.061s, total_loss: 7.7, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 8.139e-03, size: 256, ETA: 2:54:41
2025-11-12 10:49:25.622 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 121/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.007s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 8.134e-03, size: 544, ETA: 2:54:39
2025-11-12 10:49:29.044 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 121/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.024s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 8.129e-03, size: 320, ETA: 2:54:35
2025-11-12 10:49:32.532 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 121/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.058s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 8.125e-03, size: 352, ETA: 2:54:32
2025-11-12 10:49:36.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 121/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.079s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 8.120e-03, size: 256, ETA: 2:54:29
2025-11-12 10:49:37.683 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:49:37.712 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch122
2025-11-12 10:49:41.148 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 122/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.082s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.113e-03, size: 352, ETA: 2:54:25
2025-11-12 10:49:44.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 122/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.108e-03, size: 576, ETA: 2:54:21
2025-11-12 10:49:48.212 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 122/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.104e-03, size: 384, ETA: 2:54:19
2025-11-12 10:49:51.785 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 122/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.099e-03, size: 384, ETA: 2:54:16
2025-11-12 10:49:55.203 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 122/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.094e-03, size: 384, ETA: 2:54:12
2025-11-12 10:49:58.784 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 122/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.177s, data_time: 0.074s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 8.090e-03, size: 576, ETA: 2:54:09
2025-11-12 10:50:00.307 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:50:00.338 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch123
2025-11-12 10:50:03.896 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 123/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 8.083e-03, size: 320, ETA: 2:54:04
2025-11-12 10:50:07.385 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 123/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.078e-03, size: 384, ETA: 2:54:01
2025-11-12 10:50:10.865 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 123/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.080s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.074e-03, size: 544, ETA: 2:53:58
2025-11-12 10:50:14.456 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 123/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.176s, data_time: 0.077s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 8.069e-03, size: 320, ETA: 2:53:55
2025-11-12 10:50:18.056 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 123/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.077s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 8.064e-03, size: 448, ETA: 2:53:52
2025-11-12 10:50:21.482 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 123/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 8.059e-03, size: 384, ETA: 2:53:49
2025-11-12 10:50:23.052 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:50:23.126 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch124
2025-11-12 10:50:26.638 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 124/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.164s, data_time: 0.041s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.5, lr: 8.053e-03, size: 256, ETA: 2:53:44
2025-11-12 10:50:30.067 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 124/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.163s, data_time: 0.031s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 8.048e-03, size: 416, ETA: 2:53:40
2025-11-12 10:50:33.561 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 124/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.7, lr: 8.043e-03, size: 576, ETA: 2:53:37
2025-11-12 10:50:37.026 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 124/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.071s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.038e-03, size: 576, ETA: 2:53:33
2025-11-12 10:50:40.582 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 124/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 8.034e-03, size: 384, ETA: 2:53:30
2025-11-12 10:50:44.104 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 124/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.029e-03, size: 352, ETA: 2:53:27
2025-11-12 10:50:45.631 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:50:45.687 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch125
2025-11-12 10:50:49.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 125/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 8.022e-03, size: 576, ETA: 2:53:22
2025-11-12 10:50:52.805 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 125/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.084s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 8.017e-03, size: 256, ETA: 2:53:19
2025-11-12 10:50:56.323 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 125/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.012e-03, size: 544, ETA: 2:53:16
2025-11-12 10:50:59.775 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 125/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 6.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.008e-03, size: 384, ETA: 2:53:13
2025-11-12 10:51:03.414 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 125/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.083s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 8.003e-03, size: 576, ETA: 2:53:10
2025-11-12 10:51:06.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 125/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.998e-03, size: 384, ETA: 2:53:07
2025-11-12 10:51:08.601 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:51:13.457 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:51:22.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:51:29.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4967
2025-11-12 10:51:30.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4835
2025-11-12 10:51:30.097 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2331
2025-11-12 10:51:30.098 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4044
2025-11-12 10:51:30.098 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:51:30.098 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.497
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.484
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.233
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.404
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:51:30.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:51:30.100 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:51:30.100 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:51:30.100 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:51:30.100 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:51:37.668 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:51:45.243 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:51:52.801 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:52:00.370 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:52:07.965 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:52:15.558 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:52:23.097 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:52:30.641 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:52:38.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:52:38.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.19
2025-11-12 10:52:38.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.40
2025-11-12 10:52:38.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:52:38.252 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.72 ms, Average inference time: 1.36 ms

2025-11-12 10:52:38.253 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:52:38.275 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:52:38.306 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch126
2025-11-12 10:52:41.328 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 126/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.149s, data_time: 0.056s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.991e-03, size: 288, ETA: 2:53:01
2025-11-12 10:52:44.924 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 126/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.082s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.986e-03, size: 416, ETA: 2:52:58
2025-11-12 10:52:48.620 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 126/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.184s, data_time: 0.087s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 7.982e-03, size: 480, ETA: 2:52:56
2025-11-12 10:52:52.315 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 126/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.182s, data_time: 0.082s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.977e-03, size: 544, ETA: 2:52:53
2025-11-12 10:52:55.772 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 126/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.071s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.972e-03, size: 288, ETA: 2:52:50
2025-11-12 10:52:59.286 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 126/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.967e-03, size: 512, ETA: 2:52:47
2025-11-12 10:53:00.829 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:53:00.859 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch127
2025-11-12 10:53:04.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 127/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 7.960e-03, size: 416, ETA: 2:52:43
2025-11-12 10:53:07.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 127/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.955e-03, size: 480, ETA: 2:52:39
2025-11-12 10:53:11.396 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 127/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.055s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.951e-03, size: 320, ETA: 2:52:36
2025-11-12 10:53:14.945 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 127/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.160s, data_time: 0.038s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.946e-03, size: 576, ETA: 2:52:32
2025-11-12 10:53:18.439 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 127/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.158s, data_time: 0.033s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.941e-03, size: 448, ETA: 2:52:28
2025-11-12 10:53:21.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 127/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.936e-03, size: 576, ETA: 2:52:25
2025-11-12 10:53:23.553 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:53:23.582 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch128
2025-11-12 10:53:26.919 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 128/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.071s, total_loss: 7.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 1.0, lr: 7.929e-03, size: 256, ETA: 2:52:20
2025-11-12 10:53:30.511 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 128/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.077s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 7.924e-03, size: 416, ETA: 2:52:17
2025-11-12 10:53:33.988 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 128/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.919e-03, size: 576, ETA: 2:52:14
2025-11-12 10:53:37.598 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 128/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.059s, total_loss: 7.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 7.915e-03, size: 576, ETA: 2:52:11
2025-11-12 10:53:41.147 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 128/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.164s, data_time: 0.009s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.910e-03, size: 512, ETA: 2:52:07
2025-11-12 10:53:44.649 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 128/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.069s, total_loss: 7.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 1.0, lr: 7.905e-03, size: 576, ETA: 2:52:04
2025-11-12 10:53:46.232 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:53:46.262 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch129
2025-11-12 10:53:49.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 129/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.898e-03, size: 480, ETA: 2:51:59
2025-11-12 10:53:53.222 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 129/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 7.893e-03, size: 288, ETA: 2:51:56
2025-11-12 10:53:56.663 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 129/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.162s, data_time: 0.067s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 7.888e-03, size: 512, ETA: 2:51:52
2025-11-12 10:54:00.147 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 129/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 7.883e-03, size: 288, ETA: 2:51:49
2025-11-12 10:54:03.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 129/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.175s, data_time: 0.085s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 7.878e-03, size: 352, ETA: 2:51:46
2025-11-12 10:54:07.152 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 129/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 7.873e-03, size: 512, ETA: 2:51:43
2025-11-12 10:54:08.745 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:54:08.776 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch130
2025-11-12 10:54:12.306 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 130/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.059s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 7.866e-03, size: 384, ETA: 2:51:38
2025-11-12 10:54:15.730 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 130/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 7.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 7.861e-03, size: 544, ETA: 2:51:34
2025-11-12 10:54:19.232 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 130/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.076s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.857e-03, size: 576, ETA: 2:51:31
2025-11-12 10:54:22.768 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 130/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.852e-03, size: 288, ETA: 2:51:28
2025-11-12 10:54:26.318 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 130/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.847e-03, size: 352, ETA: 2:51:25
2025-11-12 10:54:29.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 130/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.842e-03, size: 544, ETA: 2:51:22
2025-11-12 10:54:31.363 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:54:36.179 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:54:38.716 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:54:40.370 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4966
2025-11-12 10:54:40.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4633
2025-11-12 10:54:40.743 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3315
2025-11-12 10:54:40.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4304
2025-11-12 10:54:40.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:54:40.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:54:40.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.497
2025-11-12 10:54:40.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.463
2025-11-12 10:54:40.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.331
2025-11-12 10:54:40.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.430
2025-11-12 10:54:40.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:54:40.746 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:54:40.747 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:54:42.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:54:44.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:54:46.732 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:54:48.723 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:54:50.706 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:54:52.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:54:54.752 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:54:56.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:54:58.815 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:54:58.816 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.19
2025-11-12 10:54:58.816 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.43
2025-11-12 10:54:58.816 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:54:58.840 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.68 ms, Average inference time: 1.29 ms

2025-11-12 10:54:58.841 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:54:58.865 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:54:58.914 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch131
2025-11-12 10:55:02.007 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 131/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.154s, data_time: 0.059s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 7.835e-03, size: 320, ETA: 2:51:16
2025-11-12 10:55:05.433 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 131/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.830e-03, size: 352, ETA: 2:51:13
2025-11-12 10:55:08.981 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 131/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 7.825e-03, size: 480, ETA: 2:51:10
2025-11-12 10:55:12.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 131/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.183s, data_time: 0.090s, total_loss: 6.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.820e-03, size: 384, ETA: 2:51:08
2025-11-12 10:55:16.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 131/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.176s, data_time: 0.076s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.815e-03, size: 352, ETA: 2:51:05
2025-11-12 10:55:19.781 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 131/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.084s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.810e-03, size: 256, ETA: 2:51:02
2025-11-12 10:55:21.405 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:55:21.439 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch132
2025-11-12 10:55:24.923 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 132/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 7.803e-03, size: 320, ETA: 2:50:58
2025-11-12 10:55:28.610 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 132/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.183s, data_time: 0.092s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.798e-03, size: 384, ETA: 2:50:55
2025-11-12 10:55:32.267 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 132/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.182s, data_time: 0.086s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.793e-03, size: 448, ETA: 2:50:53
2025-11-12 10:55:35.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 132/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.080s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.788e-03, size: 256, ETA: 2:50:50
2025-11-12 10:55:39.602 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 132/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.188s, data_time: 0.081s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 7.783e-03, size: 448, ETA: 2:50:48
2025-11-12 10:55:43.433 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 132/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.191s, data_time: 0.087s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.778e-03, size: 576, ETA: 2:50:46
2025-11-12 10:55:45.050 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:55:45.080 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch133
2025-11-12 10:55:48.587 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 133/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 7.771e-03, size: 544, ETA: 2:50:42
2025-11-12 10:55:52.076 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 133/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.082s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.766e-03, size: 384, ETA: 2:50:38
2025-11-12 10:55:55.551 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 133/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 7.761e-03, size: 288, ETA: 2:50:35
2025-11-12 10:55:59.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 133/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.756e-03, size: 384, ETA: 2:50:32
2025-11-12 10:56:02.474 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 133/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.751e-03, size: 448, ETA: 2:50:29
2025-11-12 10:56:05.865 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 133/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.746e-03, size: 256, ETA: 2:50:25
2025-11-12 10:56:07.489 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:56:07.526 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch134
2025-11-12 10:56:10.825 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 134/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.164s, data_time: 0.067s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 7.739e-03, size: 320, ETA: 2:50:20
2025-11-12 10:56:14.298 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 134/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 7.734e-03, size: 288, ETA: 2:50:17
2025-11-12 10:56:17.696 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 134/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.159s, data_time: 0.059s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.729e-03, size: 320, ETA: 2:50:13
2025-11-12 10:56:21.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 134/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 4.9, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.6, lr: 7.724e-03, size: 448, ETA: 2:50:09
2025-11-12 10:56:24.701 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 134/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.719e-03, size: 352, ETA: 2:50:06
2025-11-12 10:56:28.015 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 134/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.157s, data_time: 0.059s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.714e-03, size: 544, ETA: 2:50:01
2025-11-12 10:56:29.544 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:56:29.646 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch135
2025-11-12 10:56:33.027 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 135/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.161s, data_time: 0.061s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.707e-03, size: 512, ETA: 2:49:56
2025-11-12 10:56:36.599 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 135/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.178s, data_time: 0.075s, total_loss: 7.1, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.1, lr: 7.702e-03, size: 256, ETA: 2:49:53
2025-11-12 10:56:40.094 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 135/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.080s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 7.697e-03, size: 288, ETA: 2:49:50
2025-11-12 10:56:43.518 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 135/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.692e-03, size: 416, ETA: 2:49:46
2025-11-12 10:56:47.011 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 135/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 7.687e-03, size: 256, ETA: 2:49:43
2025-11-12 10:56:50.808 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 135/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.181s, data_time: 0.079s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 7.682e-03, size: 512, ETA: 2:49:41
2025-11-12 10:56:52.443 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:56:57.179 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:56:58.253 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:56:58.874 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5084
2025-11-12 10:56:58.988 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4668
2025-11-12 10:56:59.038 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2703
2025-11-12 10:56:59.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4152
2025-11-12 10:56:59.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:56:59.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:56:59.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.508
2025-11-12 10:56:59.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.467
2025-11-12 10:56:59.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.270
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.415
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:56:59.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:56:59.839 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:57:00.598 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:57:01.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:57:02.143 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:57:02.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:57:03.697 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:57:04.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:57:05.233 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:57:06.012 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:57:06.013 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 10:57:06.013 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 10:57:06.013 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:57:06.020 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.71 ms, Average inference time: 1.35 ms

2025-11-12 10:57:06.021 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:57:06.045 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:57:06.073 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch136
2025-11-12 10:57:09.126 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 136/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.151s, data_time: 0.054s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 7.674e-03, size: 448, ETA: 2:49:35
2025-11-12 10:57:12.716 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 136/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.179s, data_time: 0.081s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.669e-03, size: 352, ETA: 2:49:32
2025-11-12 10:57:16.130 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 136/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.167s, data_time: 0.086s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.664e-03, size: 256, ETA: 2:49:28
2025-11-12 10:57:19.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 136/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.089s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.659e-03, size: 448, ETA: 2:49:25
2025-11-12 10:57:23.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 136/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.083s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 7.654e-03, size: 544, ETA: 2:49:22
2025-11-12 10:57:26.669 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 136/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.083s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 7.649e-03, size: 480, ETA: 2:49:19
2025-11-12 10:57:28.162 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:57:28.190 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch137
2025-11-12 10:57:31.643 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 137/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.642e-03, size: 416, ETA: 2:49:14
2025-11-12 10:57:35.048 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 137/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.048s, total_loss: 6.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 7.637e-03, size: 256, ETA: 2:49:10
2025-11-12 10:57:38.508 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 137/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.632e-03, size: 320, ETA: 2:49:07
2025-11-12 10:57:41.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 137/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 7.627e-03, size: 544, ETA: 2:49:03
2025-11-12 10:57:45.529 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 137/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.178s, data_time: 0.080s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.621e-03, size: 352, ETA: 2:49:01
2025-11-12 10:57:49.121 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 137/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.616e-03, size: 320, ETA: 2:48:58
2025-11-12 10:57:50.698 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:57:50.729 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch138
2025-11-12 10:57:54.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 138/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.163s, data_time: 0.049s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 7.609e-03, size: 480, ETA: 2:48:52
2025-11-12 10:57:57.648 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 138/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.023s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.604e-03, size: 288, ETA: 2:48:49
2025-11-12 10:58:01.085 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 138/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.164s, data_time: 0.054s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.8, lr: 7.599e-03, size: 576, ETA: 2:48:45
2025-11-12 10:58:04.509 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 138/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.163s, data_time: 0.034s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 7.594e-03, size: 512, ETA: 2:48:42
2025-11-12 10:58:07.861 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 138/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.163s, data_time: 0.045s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.589e-03, size: 256, ETA: 2:48:38
2025-11-12 10:58:11.457 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 138/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.173s, data_time: 0.029s, total_loss: 7.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.9, cls_loss: 0.9, lr: 7.584e-03, size: 544, ETA: 2:48:35
2025-11-12 10:58:12.885 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:58:13.030 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch139
2025-11-12 10:58:16.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 139/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.158s, data_time: 0.054s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 7.576e-03, size: 480, ETA: 2:48:28
2025-11-12 10:58:19.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 139/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.158s, data_time: 0.062s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.571e-03, size: 480, ETA: 2:48:24
2025-11-12 10:58:23.434 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 139/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.084s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.566e-03, size: 352, ETA: 2:48:21
2025-11-12 10:58:27.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 139/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.179s, data_time: 0.082s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.2, lr: 7.561e-03, size: 448, ETA: 2:48:18
2025-11-12 10:58:30.452 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 139/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.556e-03, size: 448, ETA: 2:48:15
2025-11-12 10:58:33.959 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 139/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.551e-03, size: 352, ETA: 2:48:11
2025-11-12 10:58:35.428 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:58:35.505 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch140
2025-11-12 10:58:38.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 140/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.165s, data_time: 0.011s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 7.543e-03, size: 288, ETA: 2:48:06
2025-11-12 10:58:42.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 140/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.168s, data_time: 0.003s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 7.538e-03, size: 384, ETA: 2:48:02
2025-11-12 10:58:46.076 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 140/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.005s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.533e-03, size: 352, ETA: 2:47:59
2025-11-12 10:58:49.509 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 140/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.170s, data_time: 0.049s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 7.528e-03, size: 288, ETA: 2:47:56
2025-11-12 10:58:53.042 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 140/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.175s, data_time: 0.089s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.523e-03, size: 544, ETA: 2:47:53
2025-11-12 10:58:56.416 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 140/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 7.517e-03, size: 576, ETA: 2:47:49
2025-11-12 10:58:57.926 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:59:02.769 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 10:59:03.953 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 10:59:04.481 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4284
2025-11-12 10:59:04.583 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4628
2025-11-12 10:59:04.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2003
2025-11-12 10:59:04.672 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.3638
2025-11-12 10:59:04.672 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 10:59:04.672 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.428
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.463
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.200
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.364
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 10:59:04.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 10:59:04.674 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 10:59:04.674 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 10:59:04.674 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 10:59:04.674 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 10:59:05.335 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 10:59:06.002 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 10:59:06.716 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 10:59:07.380 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 10:59:08.045 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 10:59:08.709 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 10:59:09.400 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 10:59:10.069 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 10:59:10.732 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 10:59:10.732 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.15
2025-11-12 10:59:10.732 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.36
2025-11-12 10:59:10.732 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 10:59:10.740 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.60 ms, Average NMS time: 0.71 ms, Average inference time: 1.31 ms

2025-11-12 10:59:10.741 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:59:10.768 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:59:10.801 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch141
2025-11-12 10:59:13.939 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 141/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.156s, data_time: 0.053s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 7.510e-03, size: 352, ETA: 2:47:43
2025-11-12 10:59:17.378 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 141/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 7.505e-03, size: 256, ETA: 2:47:40
2025-11-12 10:59:20.747 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 141/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.164s, data_time: 0.052s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 7.500e-03, size: 256, ETA: 2:47:36
2025-11-12 10:59:24.200 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 141/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.049s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.494e-03, size: 288, ETA: 2:47:33
2025-11-12 10:59:27.681 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 141/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.032s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.489e-03, size: 512, ETA: 2:47:30
2025-11-12 10:59:31.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 141/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.013s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.484e-03, size: 288, ETA: 2:47:26
2025-11-12 10:59:32.653 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:59:32.843 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch142
2025-11-12 10:59:36.285 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 142/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.007s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.477e-03, size: 320, ETA: 2:47:21
2025-11-12 10:59:39.739 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 142/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.050s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 7.471e-03, size: 256, ETA: 2:47:17
2025-11-12 10:59:43.233 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 142/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.162s, data_time: 0.032s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 7.466e-03, size: 512, ETA: 2:47:13
2025-11-12 10:59:46.645 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 142/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.160s, data_time: 0.078s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.461e-03, size: 384, ETA: 2:47:09
2025-11-12 10:59:50.163 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 142/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.050s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 7.456e-03, size: 416, ETA: 2:47:06
2025-11-12 10:59:53.667 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 142/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.062s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.451e-03, size: 480, ETA: 2:47:02
2025-11-12 10:59:55.198 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 10:59:55.229 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch143
2025-11-12 10:59:58.837 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 143/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.178s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.443e-03, size: 544, ETA: 2:46:58
2025-11-12 11:00:02.368 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 143/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.172s, data_time: 0.066s, total_loss: 6.8, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.438e-03, size: 352, ETA: 2:46:55
2025-11-12 11:00:05.714 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 143/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.067s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.433e-03, size: 576, ETA: 2:46:51
2025-11-12 11:00:09.171 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 143/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.069s, total_loss: 7.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 7.428e-03, size: 576, ETA: 2:46:48
2025-11-12 11:00:12.713 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 143/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.175s, data_time: 0.023s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.422e-03, size: 480, ETA: 2:46:45
2025-11-12 11:00:16.127 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 143/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.015s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 7.417e-03, size: 448, ETA: 2:46:41
2025-11-12 11:00:17.640 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:00:17.735 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch144
2025-11-12 11:00:21.240 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 144/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.164s, data_time: 0.017s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.410e-03, size: 352, ETA: 2:46:36
2025-11-12 11:00:24.689 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 144/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.038s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 7.404e-03, size: 480, ETA: 2:46:32
2025-11-12 11:00:28.105 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 144/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.399e-03, size: 544, ETA: 2:46:29
2025-11-12 11:00:31.594 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 144/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.069s, total_loss: 7.2, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 7.394e-03, size: 320, ETA: 2:46:26
2025-11-12 11:00:35.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 144/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.167s, data_time: 0.051s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 7.389e-03, size: 544, ETA: 2:46:22
2025-11-12 11:00:38.536 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 144/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.164s, data_time: 0.045s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.384e-03, size: 448, ETA: 2:46:18
2025-11-12 11:00:40.042 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:00:40.072 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch145
2025-11-12 11:00:43.590 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 145/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.171s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.376e-03, size: 448, ETA: 2:46:13
2025-11-12 11:00:47.005 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 145/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.168s, data_time: 0.008s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 7.371e-03, size: 352, ETA: 2:46:10
2025-11-12 11:00:50.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 145/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.167s, data_time: 0.019s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.365e-03, size: 480, ETA: 2:46:06
2025-11-12 11:00:53.918 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 145/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.360e-03, size: 288, ETA: 2:46:03
2025-11-12 11:00:57.438 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 145/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.080s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.355e-03, size: 320, ETA: 2:46:00
2025-11-12 11:01:00.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 145/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 7.350e-03, size: 416, ETA: 2:45:57
2025-11-12 11:01:02.415 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:01:07.339 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:01:10.005 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:01:11.716 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4759
2025-11-12 11:01:11.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4947
2025-11-12 11:01:12.100 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3011
2025-11-12 11:01:12.101 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4239
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.476
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.495
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.301
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.424
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:01:12.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:01:12.103 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:01:12.103 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:01:12.103 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:01:12.103 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:01:12.103 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:01:14.195 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:01:16.243 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:01:18.320 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:01:20.341 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:01:22.397 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:01:24.472 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:01:26.516 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:01:28.590 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:01:30.632 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:01:30.633 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 11:01:30.633 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.42
2025-11-12 11:01:30.633 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:01:30.658 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.65 ms, Average inference time: 1.26 ms

2025-11-12 11:01:30.659 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:01:30.681 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:01:30.710 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch146
2025-11-12 11:01:33.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 146/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.151s, data_time: 0.056s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 7.342e-03, size: 416, ETA: 2:45:51
2025-11-12 11:01:37.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 146/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.337e-03, size: 352, ETA: 2:45:47
2025-11-12 11:01:40.757 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 146/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.332e-03, size: 416, ETA: 2:45:44
2025-11-12 11:01:44.245 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 146/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.083s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.326e-03, size: 416, ETA: 2:45:41
2025-11-12 11:01:47.649 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 146/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 7.321e-03, size: 320, ETA: 2:45:37
2025-11-12 11:01:51.150 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 146/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.162s, data_time: 0.060s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.316e-03, size: 320, ETA: 2:45:33
2025-11-12 11:01:52.597 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:01:52.663 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch147
2025-11-12 11:01:56.141 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 147/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.167s, data_time: 0.019s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.308e-03, size: 384, ETA: 2:45:28
2025-11-12 11:01:59.547 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 147/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.161s, data_time: 0.036s, total_loss: 5.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 1.9, cls_loss: 0.7, lr: 7.303e-03, size: 416, ETA: 2:45:24
2025-11-12 11:02:02.987 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 147/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.057s, total_loss: 6.9, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.298e-03, size: 256, ETA: 2:45:20
2025-11-12 11:02:06.482 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 147/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.292e-03, size: 320, ETA: 2:45:17
2025-11-12 11:02:09.898 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 147/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 7.287e-03, size: 256, ETA: 2:45:14
2025-11-12 11:02:13.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 147/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 7.282e-03, size: 256, ETA: 2:45:10
2025-11-12 11:02:14.890 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:02:14.921 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch148
2025-11-12 11:02:18.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 148/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.177s, data_time: 0.074s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.274e-03, size: 352, ETA: 2:45:06
2025-11-12 11:02:21.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 148/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.4Gb, iter_time: 0.174s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.269e-03, size: 384, ETA: 2:45:03
2025-11-12 11:02:25.551 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 148/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.177s, data_time: 0.086s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 7.263e-03, size: 544, ETA: 2:45:00
2025-11-12 11:02:29.065 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 148/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.258e-03, size: 544, ETA: 2:44:57
2025-11-12 11:02:32.514 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 148/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 7.253e-03, size: 384, ETA: 2:44:53
2025-11-12 11:02:35.977 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 148/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.247e-03, size: 384, ETA: 2:44:50
2025-11-12 11:02:37.416 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:02:37.509 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch149
2025-11-12 11:02:40.855 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 149/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.060s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.240e-03, size: 384, ETA: 2:44:45
2025-11-12 11:02:44.339 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 149/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.028s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.234e-03, size: 384, ETA: 2:44:41
2025-11-12 11:02:48.190 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 149/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.190s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 7.229e-03, size: 480, ETA: 2:44:39
2025-11-12 11:02:51.625 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 149/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.224e-03, size: 320, ETA: 2:44:36
2025-11-12 11:02:54.993 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 149/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.012s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 7.218e-03, size: 512, ETA: 2:44:32
2025-11-12 11:02:58.442 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 149/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.160s, data_time: 0.046s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.213e-03, size: 448, ETA: 2:44:28
2025-11-12 11:02:59.931 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:02:59.960 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch150
2025-11-12 11:03:03.487 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 150/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.205e-03, size: 480, ETA: 2:44:23
2025-11-12 11:03:07.127 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 150/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.056s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 7.200e-03, size: 480, ETA: 2:44:20
2025-11-12 11:03:10.582 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 150/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.039s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 7.195e-03, size: 512, ETA: 2:44:17
2025-11-12 11:03:14.099 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 150/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.069s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.189e-03, size: 352, ETA: 2:44:13
2025-11-12 11:03:17.483 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 150/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.078s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.184e-03, size: 352, ETA: 2:44:10
2025-11-12 11:03:20.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 150/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.179e-03, size: 480, ETA: 2:44:07
2025-11-12 11:03:22.413 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:03:27.197 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:03:29.833 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:03:31.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5219
2025-11-12 11:03:31.994 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4809
2025-11-12 11:03:32.032 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2776
2025-11-12 11:03:32.032 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4268
2025-11-12 11:03:32.032 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.522
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.481
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.278
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.427
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:03:32.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:03:32.034 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:03:32.034 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:03:32.034 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:03:34.241 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:03:36.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:03:38.604 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:03:40.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:03:43.001 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:03:45.149 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:03:47.291 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:03:49.448 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:03:51.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:03:51.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 11:03:51.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.43
2025-11-12 11:03:51.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:03:51.624 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.73 ms, Average inference time: 1.37 ms

2025-11-12 11:03:51.625 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:03:51.647 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:03:51.677 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch151
2025-11-12 11:03:54.689 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 151/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.150s, data_time: 0.051s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.171e-03, size: 384, ETA: 2:44:00
2025-11-12 11:03:58.105 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 151/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.064s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.166e-03, size: 352, ETA: 2:43:57
2025-11-12 11:04:01.615 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 151/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.163s, data_time: 0.040s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.160e-03, size: 480, ETA: 2:43:53
2025-11-12 11:04:05.182 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 151/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.162s, data_time: 0.009s, total_loss: 6.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 7.155e-03, size: 352, ETA: 2:43:49
2025-11-12 11:04:08.634 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 151/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.163s, data_time: 0.003s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 7.149e-03, size: 320, ETA: 2:43:45
2025-11-12 11:04:11.990 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 151/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.160s, data_time: 0.026s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.144e-03, size: 256, ETA: 2:43:41
2025-11-12 11:04:13.557 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:04:13.590 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch152
2025-11-12 11:04:17.093 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 152/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.048s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.136e-03, size: 320, ETA: 2:43:36
2025-11-12 11:04:20.503 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 152/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.131e-03, size: 512, ETA: 2:43:33
2025-11-12 11:04:23.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 152/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.068s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.126e-03, size: 512, ETA: 2:43:29
2025-11-12 11:04:27.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 152/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.178s, data_time: 0.085s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 7.120e-03, size: 576, ETA: 2:43:26
2025-11-12 11:04:31.003 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 152/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 7.115e-03, size: 288, ETA: 2:43:23
2025-11-12 11:04:34.484 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 152/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.109e-03, size: 512, ETA: 2:43:20
2025-11-12 11:04:35.938 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:04:35.969 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch153
2025-11-12 11:04:39.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 153/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.064s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.102e-03, size: 576, ETA: 2:43:15
2025-11-12 11:04:42.821 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 153/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.096e-03, size: 288, ETA: 2:43:11
2025-11-12 11:04:46.430 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 153/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.176s, data_time: 0.054s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 7.091e-03, size: 256, ETA: 2:43:08
2025-11-12 11:04:49.803 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 153/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.164s, data_time: 0.005s, total_loss: 7.6, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 7.085e-03, size: 576, ETA: 2:43:04
2025-11-12 11:04:53.330 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 153/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.013s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 7.080e-03, size: 544, ETA: 2:43:01
2025-11-12 11:04:56.805 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 153/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.011s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 7.075e-03, size: 576, ETA: 2:42:58
2025-11-12 11:04:58.377 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:04:58.460 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch154
2025-11-12 11:05:01.931 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 154/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.167s, data_time: 0.028s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.067e-03, size: 448, ETA: 2:42:53
2025-11-12 11:05:05.324 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 154/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.063s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.061e-03, size: 288, ETA: 2:42:49
2025-11-12 11:05:08.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 154/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.031s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 7.056e-03, size: 320, ETA: 2:42:46
2025-11-12 11:05:12.224 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 154/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.041s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.050e-03, size: 544, ETA: 2:42:42
2025-11-12 11:05:15.693 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 154/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.045e-03, size: 480, ETA: 2:42:39
2025-11-12 11:05:19.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 154/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.040e-03, size: 256, ETA: 2:42:36
2025-11-12 11:05:20.845 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:05:20.875 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch155
2025-11-12 11:05:24.219 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 155/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.073s, total_loss: 7.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.0, lr: 7.032e-03, size: 544, ETA: 2:42:31
2025-11-12 11:05:27.691 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 155/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.066s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 7.026e-03, size: 352, ETA: 2:42:27
2025-11-12 11:05:31.080 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 155/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.051s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.021e-03, size: 320, ETA: 2:42:24
2025-11-12 11:05:34.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 155/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.173s, data_time: 0.038s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 7.015e-03, size: 352, ETA: 2:42:21
2025-11-12 11:05:38.124 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 155/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.007s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.010e-03, size: 480, ETA: 2:42:18
2025-11-12 11:05:41.550 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 155/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.003s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.005e-03, size: 320, ETA: 2:42:14
2025-11-12 11:05:43.117 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:05:47.891 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:05:50.275 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:05:51.865 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5519
2025-11-12 11:05:52.199 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4851
2025-11-12 11:05:52.246 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3211
2025-11-12 11:05:52.247 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4527
2025-11-12 11:05:52.247 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:05:52.247 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.552
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.485
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.321
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.453
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:05:52.248 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:05:52.249 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:05:52.249 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:05:54.167 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:05:56.091 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:05:58.013 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:05:59.954 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:06:01.836 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:06:03.743 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:06:05.651 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:06:07.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:06:09.487 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:06:09.487 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:06:09.487 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.45
2025-11-12 11:06:09.487 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:06:09.512 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.71 ms, Average inference time: 1.35 ms

2025-11-12 11:06:09.513 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:06:09.536 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:06:09.566 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch156
2025-11-12 11:06:12.734 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 156/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.157s, data_time: 0.064s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.997e-03, size: 256, ETA: 2:42:09
2025-11-12 11:06:16.282 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 156/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.177s, data_time: 0.078s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.991e-03, size: 448, ETA: 2:42:06
2025-11-12 11:06:19.664 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 156/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.986e-03, size: 256, ETA: 2:42:02
2025-11-12 11:06:23.206 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 156/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.980e-03, size: 448, ETA: 2:41:59
2025-11-12 11:06:26.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 156/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.975e-03, size: 352, ETA: 2:41:56
2025-11-12 11:06:30.231 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 156/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.969e-03, size: 256, ETA: 2:41:52
2025-11-12 11:06:31.680 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:06:31.740 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch157
2025-11-12 11:06:35.173 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 157/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.156s, data_time: 0.060s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.961e-03, size: 544, ETA: 2:41:46
2025-11-12 11:06:38.591 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 157/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.160s, data_time: 0.069s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 6.956e-03, size: 288, ETA: 2:41:42
2025-11-12 11:06:42.092 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 157/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.172s, data_time: 0.086s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 6.951e-03, size: 384, ETA: 2:41:39
2025-11-12 11:06:45.529 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 157/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.163s, data_time: 0.077s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.945e-03, size: 512, ETA: 2:41:35
2025-11-12 11:06:48.969 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 157/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.167s, data_time: 0.077s, total_loss: 5.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 6.940e-03, size: 288, ETA: 2:41:32
2025-11-12 11:06:52.382 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 157/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.169s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.934e-03, size: 384, ETA: 2:41:28
2025-11-12 11:06:54.088 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:06:54.117 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch158
2025-11-12 11:06:57.524 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 158/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.071s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.926e-03, size: 544, ETA: 2:41:24
2025-11-12 11:07:01.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 158/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 6.921e-03, size: 544, ETA: 2:41:21
2025-11-12 11:07:04.619 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 158/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.178s, data_time: 0.076s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.915e-03, size: 352, ETA: 2:41:18
2025-11-12 11:07:07.982 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 158/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.166s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.910e-03, size: 512, ETA: 2:41:14
2025-11-12 11:07:11.432 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 158/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.904e-03, size: 416, ETA: 2:41:11
2025-11-12 11:07:14.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 158/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.899e-03, size: 512, ETA: 2:41:07
2025-11-12 11:07:16.435 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:07:16.466 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch159
2025-11-12 11:07:19.870 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 159/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.891e-03, size: 416, ETA: 2:41:03
2025-11-12 11:07:23.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 159/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.163s, data_time: 0.063s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 6.885e-03, size: 352, ETA: 2:40:59
2025-11-12 11:07:26.775 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 159/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.153s, data_time: 0.056s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 6.880e-03, size: 448, ETA: 2:40:55
2025-11-12 11:07:30.174 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 159/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.158s, data_time: 0.060s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 6.874e-03, size: 544, ETA: 2:40:50
2025-11-12 11:07:33.634 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 159/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.164s, data_time: 0.051s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 6.869e-03, size: 544, ETA: 2:40:47
2025-11-12 11:07:37.199 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 159/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.018s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.863e-03, size: 352, ETA: 2:40:44
2025-11-12 11:07:38.651 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:07:38.810 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch160
2025-11-12 11:07:42.267 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 160/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.163s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 6.855e-03, size: 288, ETA: 2:40:38
2025-11-12 11:07:45.668 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 160/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.850e-03, size: 480, ETA: 2:40:35
2025-11-12 11:07:49.209 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 160/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.174s, data_time: 0.065s, total_loss: 7.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 1.0, lr: 6.844e-03, size: 544, ETA: 2:40:32
2025-11-12 11:07:52.662 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 160/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.069s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.839e-03, size: 416, ETA: 2:40:28
2025-11-12 11:07:56.127 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 160/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.165s, data_time: 0.065s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.833e-03, size: 320, ETA: 2:40:25
2025-11-12 11:07:59.633 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 160/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.1, lr: 6.828e-03, size: 256, ETA: 2:40:21
2025-11-12 11:08:01.111 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:08:06.037 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:08:16.079 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:08:22.421 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5390
2025-11-12 11:08:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4908
2025-11-12 11:08:22.907 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3098
2025-11-12 11:08:22.908 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4465
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.539
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.491
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.310
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.447
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:08:22.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:08:22.910 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:08:22.910 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:08:22.910 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:08:22.910 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:08:22.910 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:08:29.726 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:08:36.492 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:08:43.274 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:08:50.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:08:56.743 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:09:03.474 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:09:10.262 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:09:16.970 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:09:23.595 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:09:23.596 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.22
2025-11-12 11:09:23.596 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.45
2025-11-12 11:09:23.596 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:09:23.622 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.68 ms, Average NMS time: 0.77 ms, Average inference time: 1.45 ms

2025-11-12 11:09:23.623 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:09:23.684 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:09:23.724 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch161
2025-11-12 11:09:26.726 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 161/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.149s, data_time: 0.045s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.820e-03, size: 480, ETA: 2:40:15
2025-11-12 11:09:30.321 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 161/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.178s, data_time: 0.064s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 6.814e-03, size: 480, ETA: 2:40:12
2025-11-12 11:09:33.606 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 161/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.162s, data_time: 0.040s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 6.809e-03, size: 288, ETA: 2:40:09
2025-11-12 11:09:37.022 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 161/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.057s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.803e-03, size: 576, ETA: 2:40:05
2025-11-12 11:09:40.528 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 161/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.798e-03, size: 480, ETA: 2:40:02
2025-11-12 11:09:43.914 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 161/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.046s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 6.792e-03, size: 512, ETA: 2:39:58
2025-11-12 11:09:45.551 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:09:45.581 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch162
2025-11-12 11:09:49.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 162/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.784e-03, size: 256, ETA: 2:39:54
2025-11-12 11:09:52.501 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 162/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.778e-03, size: 544, ETA: 2:39:50
2025-11-12 11:09:56.042 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 162/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.026s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 6.773e-03, size: 512, ETA: 2:39:47
2025-11-12 11:09:59.398 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 162/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.159s, data_time: 0.004s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.767e-03, size: 448, ETA: 2:39:43
2025-11-12 11:10:02.908 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 162/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.156s, data_time: 0.013s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 6.762e-03, size: 256, ETA: 2:39:38
2025-11-12 11:10:06.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 162/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.162s, data_time: 0.011s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.756e-03, size: 288, ETA: 2:39:35
2025-11-12 11:10:07.739 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:10:07.799 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch163
2025-11-12 11:10:11.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 163/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.068s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.748e-03, size: 544, ETA: 2:39:30
2025-11-12 11:10:14.749 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 163/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.743e-03, size: 256, ETA: 2:39:26
2025-11-12 11:10:18.130 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 163/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.069s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.737e-03, size: 448, ETA: 2:39:23
2025-11-12 11:10:21.847 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 163/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.182s, data_time: 0.090s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 6.731e-03, size: 384, ETA: 2:39:20
2025-11-12 11:10:25.256 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 163/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.726e-03, size: 320, ETA: 2:39:17
2025-11-12 11:10:28.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 163/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 6.720e-03, size: 256, ETA: 2:39:13
2025-11-12 11:10:30.389 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:10:30.424 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch164
2025-11-12 11:10:33.731 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 164/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.164s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.712e-03, size: 576, ETA: 2:39:08
2025-11-12 11:10:37.690 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 164/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.197s, data_time: 0.096s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 6.707e-03, size: 384, ETA: 2:39:07
2025-11-12 11:10:41.084 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 164/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.067s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.701e-03, size: 416, ETA: 2:39:03
2025-11-12 11:10:44.492 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 164/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.058s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 6.696e-03, size: 448, ETA: 2:38:59
2025-11-12 11:10:48.009 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 164/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.085s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.690e-03, size: 352, ETA: 2:38:56
2025-11-12 11:10:51.424 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 164/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.159s, data_time: 0.079s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.684e-03, size: 416, ETA: 2:38:52
2025-11-12 11:10:52.933 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:10:52.959 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch165
2025-11-12 11:10:56.270 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 165/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.165s, data_time: 0.093s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.676e-03, size: 320, ETA: 2:38:47
2025-11-12 11:10:59.790 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 165/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.089s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.671e-03, size: 544, ETA: 2:38:43
2025-11-12 11:11:03.351 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 165/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.5Gb, iter_time: 0.171s, data_time: 0.098s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.665e-03, size: 352, ETA: 2:38:40
2025-11-12 11:11:06.826 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 165/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.092s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 6.659e-03, size: 448, ETA: 2:38:37
2025-11-12 11:11:10.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 165/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.167s, data_time: 0.053s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.654e-03, size: 256, ETA: 2:38:33
2025-11-12 11:11:13.660 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 165/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 6.648e-03, size: 576, ETA: 2:38:30
2025-11-12 11:11:15.240 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:11:20.100 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:11:22.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:11:24.565 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5674
2025-11-12 11:11:24.842 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4766
2025-11-12 11:11:24.887 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2513
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4318
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.567
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.477
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.251
2025-11-12 11:11:24.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.432
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:11:24.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:11:27.018 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:11:29.154 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:11:31.288 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:11:33.384 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:11:35.520 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:11:37.669 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:11:39.873 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:11:41.998 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:11:44.111 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:11:44.111 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.22
2025-11-12 11:11:44.111 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.43
2025-11-12 11:11:44.111 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:11:44.138 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.71 ms, Average inference time: 1.33 ms

2025-11-12 11:11:44.140 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:11:44.162 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:11:44.193 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch166
2025-11-12 11:11:47.199 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 166/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.149s, data_time: 0.052s, total_loss: 5.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 6.640e-03, size: 512, ETA: 2:38:24
2025-11-12 11:11:50.713 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 166/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.063s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.635e-03, size: 512, ETA: 2:38:20
2025-11-12 11:11:54.191 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 166/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.164s, data_time: 0.027s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.629e-03, size: 576, ETA: 2:38:17
2025-11-12 11:11:57.680 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 166/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.9Gb, iter_time: 0.166s, data_time: 0.046s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.623e-03, size: 320, ETA: 2:38:13
2025-11-12 11:12:01.072 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 166/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.166s, data_time: 0.078s, total_loss: 7.3, iou_loss: 3.3, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 6.618e-03, size: 256, ETA: 2:38:10
2025-11-12 11:12:04.642 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 166/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.090s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.612e-03, size: 448, ETA: 2:38:07
2025-11-12 11:12:06.171 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:12:06.201 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch167
2025-11-12 11:12:09.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 167/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.070s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.604e-03, size: 384, ETA: 2:38:01
2025-11-12 11:12:12.975 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 167/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.598e-03, size: 320, ETA: 2:37:58
2025-11-12 11:12:16.496 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 167/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.065s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 6.593e-03, size: 480, ETA: 2:37:55
2025-11-12 11:12:19.959 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 167/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.024s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.587e-03, size: 288, ETA: 2:37:51
2025-11-12 11:12:23.305 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 167/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.042s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 6.582e-03, size: 288, ETA: 2:37:48
2025-11-12 11:12:26.717 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 167/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.046s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.576e-03, size: 480, ETA: 2:37:44
2025-11-12 11:12:28.287 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:12:28.418 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch168
2025-11-12 11:12:31.922 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 168/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.166s, data_time: 0.012s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 6.568e-03, size: 352, ETA: 2:37:39
2025-11-12 11:12:35.331 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 168/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.160s, data_time: 0.006s, total_loss: 7.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 0.9, lr: 6.562e-03, size: 544, ETA: 2:37:35
2025-11-12 11:12:38.814 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 168/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.012s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.557e-03, size: 576, ETA: 2:37:32
2025-11-12 11:12:42.307 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 168/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.071s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.551e-03, size: 320, ETA: 2:37:29
2025-11-12 11:12:45.689 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 168/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.068s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.545e-03, size: 352, ETA: 2:37:25
2025-11-12 11:12:49.163 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 168/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.540e-03, size: 352, ETA: 2:37:22
2025-11-12 11:12:50.621 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:12:50.753 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch169
2025-11-12 11:12:54.184 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 169/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.153s, data_time: 0.041s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.531e-03, size: 480, ETA: 2:37:16
2025-11-12 11:12:57.563 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 169/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.150s, data_time: 0.003s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 6.526e-03, size: 416, ETA: 2:37:11
2025-11-12 11:13:00.971 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 169/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.149s, data_time: 0.013s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.520e-03, size: 320, ETA: 2:37:07
2025-11-12 11:13:04.380 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 169/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.157s, data_time: 0.043s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.515e-03, size: 448, ETA: 2:37:03
2025-11-12 11:13:07.842 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 169/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.046s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.509e-03, size: 480, ETA: 2:37:00
2025-11-12 11:13:11.310 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 169/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.019s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 6.503e-03, size: 416, ETA: 2:36:56
2025-11-12 11:13:12.761 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:13:12.920 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch170
2025-11-12 11:13:16.407 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 170/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.052s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.495e-03, size: 320, ETA: 2:36:51
2025-11-12 11:13:19.884 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 170/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.026s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.489e-03, size: 352, ETA: 2:36:47
2025-11-12 11:13:23.420 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 170/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.068s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.484e-03, size: 288, ETA: 2:36:44
2025-11-12 11:13:26.791 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 170/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.165s, data_time: 0.077s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.478e-03, size: 352, ETA: 2:36:40
2025-11-12 11:13:30.234 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 170/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.062s, total_loss: 7.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.1, lr: 6.472e-03, size: 480, ETA: 2:36:37
2025-11-12 11:13:33.627 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 170/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.040s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.467e-03, size: 480, ETA: 2:36:34
2025-11-12 11:13:35.178 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:13:39.976 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:13:41.919 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:13:42.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5511
2025-11-12 11:13:43.051 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4640
2025-11-12 11:13:43.124 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3006
2025-11-12 11:13:43.125 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4386
2025-11-12 11:13:43.125 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.551
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.464
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.301
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.439
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:13:43.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:13:43.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:13:43.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:13:43.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:13:43.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:13:43.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:13:44.182 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:13:45.215 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:13:46.223 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:13:47.245 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:13:48.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:13:49.285 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:13:50.308 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:13:51.339 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:13:52.340 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:13:52.341 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.22
2025-11-12 11:13:52.341 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.44
2025-11-12 11:13:52.341 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:13:52.350 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.70 ms, Average inference time: 1.35 ms

2025-11-12 11:13:52.350 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:13:52.373 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:13:52.402 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch171
2025-11-12 11:13:55.502 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 171/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.151s, data_time: 0.049s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.459e-03, size: 576, ETA: 2:36:27
2025-11-12 11:13:58.906 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 171/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.453e-03, size: 384, ETA: 2:36:24
2025-11-12 11:14:02.346 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 171/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 6.447e-03, size: 384, ETA: 2:36:21
2025-11-12 11:14:05.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 171/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.442e-03, size: 448, ETA: 2:36:18
2025-11-12 11:14:09.256 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 171/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.436e-03, size: 416, ETA: 2:36:14
2025-11-12 11:14:12.671 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 171/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 6.430e-03, size: 480, ETA: 2:36:11
2025-11-12 11:14:14.138 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:14:14.394 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch172
2025-11-12 11:14:17.861 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 172/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.044s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 6.422e-03, size: 512, ETA: 2:36:06
2025-11-12 11:14:21.334 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 172/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.416e-03, size: 448, ETA: 2:36:02
2025-11-12 11:14:24.803 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 172/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 6.411e-03, size: 544, ETA: 2:35:59
2025-11-12 11:14:28.219 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 172/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.067s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.405e-03, size: 352, ETA: 2:35:56
2025-11-12 11:14:31.769 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 172/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.086s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.399e-03, size: 288, ETA: 2:35:52
2025-11-12 11:14:35.315 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 172/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 7.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 6.394e-03, size: 320, ETA: 2:35:49
2025-11-12 11:14:36.958 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:14:36.987 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch173
2025-11-12 11:14:40.553 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 173/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.178s, data_time: 0.091s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 6.385e-03, size: 576, ETA: 2:35:45
2025-11-12 11:14:43.961 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 173/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.063s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.380e-03, size: 576, ETA: 2:35:42
2025-11-12 11:14:47.475 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 173/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 6.6, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.374e-03, size: 320, ETA: 2:35:39
2025-11-12 11:14:51.085 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 173/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.180s, data_time: 0.086s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.368e-03, size: 288, ETA: 2:35:36
2025-11-12 11:14:54.498 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 173/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.170s, data_time: 0.081s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.363e-03, size: 416, ETA: 2:35:32
2025-11-12 11:14:57.987 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 173/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 6.357e-03, size: 320, ETA: 2:35:29
2025-11-12 11:14:59.463 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:14:59.622 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch174
2025-11-12 11:15:03.005 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 174/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.349e-03, size: 288, ETA: 2:35:24
2025-11-12 11:15:06.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 174/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 6.343e-03, size: 448, ETA: 2:35:21
2025-11-12 11:15:09.834 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 174/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 6.337e-03, size: 320, ETA: 2:35:17
2025-11-12 11:15:13.482 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 174/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.181s, data_time: 0.088s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.331e-03, size: 480, ETA: 2:35:15
2025-11-12 11:15:16.836 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 174/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 6.326e-03, size: 256, ETA: 2:35:11
2025-11-12 11:15:20.386 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 174/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.320e-03, size: 480, ETA: 2:35:08
2025-11-12 11:15:21.900 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:15:21.932 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch175
2025-11-12 11:15:25.519 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 175/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.177s, data_time: 0.082s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 6.312e-03, size: 448, ETA: 2:35:03
2025-11-12 11:15:29.003 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 175/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 6.306e-03, size: 416, ETA: 2:35:00
2025-11-12 11:15:32.535 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 175/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.300e-03, size: 320, ETA: 2:34:57
2025-11-12 11:15:35.946 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 175/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.167s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.295e-03, size: 288, ETA: 2:34:53
2025-11-12 11:15:39.539 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 175/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.179s, data_time: 0.089s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.289e-03, size: 384, ETA: 2:34:50
2025-11-12 11:15:43.001 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 175/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.283e-03, size: 384, ETA: 2:34:47
2025-11-12 11:15:44.643 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:15:49.478 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:15:51.160 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:15:52.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4889
2025-11-12 11:15:52.313 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4790
2025-11-12 11:15:52.416 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2705
2025-11-12 11:15:52.417 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4128
2025-11-12 11:15:52.417 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:15:52.417 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:15:52.417 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.489
2025-11-12 11:15:52.417 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.479
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.270
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.413
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:15:52.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:15:53.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:15:54.888 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:15:56.100 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:15:57.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:15:58.535 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:15:59.735 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:16:00.928 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:16:02.147 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:16:03.362 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:16:03.363 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.20
2025-11-12 11:16:03.363 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.41
2025-11-12 11:16:03.363 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:16:03.371 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.70 ms, Average inference time: 1.36 ms

2025-11-12 11:16:03.372 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:16:03.429 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:16:03.457 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch176
2025-11-12 11:16:06.529 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 176/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.151s, data_time: 0.059s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.275e-03, size: 384, ETA: 2:34:41
2025-11-12 11:16:10.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 176/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.269e-03, size: 544, ETA: 2:34:38
2025-11-12 11:16:13.404 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 176/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.074s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 6.263e-03, size: 288, ETA: 2:34:35
2025-11-12 11:16:16.856 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 176/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.055s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.258e-03, size: 320, ETA: 2:34:31
2025-11-12 11:16:20.276 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 176/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.163s, data_time: 0.055s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 6.252e-03, size: 288, ETA: 2:34:27
2025-11-12 11:16:23.904 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 176/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.246e-03, size: 512, ETA: 2:34:24
2025-11-12 11:16:25.517 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:16:25.546 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch177
2025-11-12 11:16:29.037 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 177/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.080s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 6.238e-03, size: 416, ETA: 2:34:19
2025-11-12 11:16:32.456 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 177/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.232e-03, size: 512, ETA: 2:34:16
2025-11-12 11:16:35.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 177/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.227e-03, size: 416, ETA: 2:34:13
2025-11-12 11:16:39.480 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 177/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 6.221e-03, size: 320, ETA: 2:34:10
2025-11-12 11:16:43.096 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 177/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.180s, data_time: 0.088s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 6.215e-03, size: 320, ETA: 2:34:07
2025-11-12 11:16:46.557 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 177/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 6.209e-03, size: 576, ETA: 2:34:04
2025-11-12 11:16:48.064 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:16:48.101 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch178
2025-11-12 11:16:51.583 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 178/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.201e-03, size: 576, ETA: 2:33:59
2025-11-12 11:16:55.027 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 178/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.070s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.195e-03, size: 352, ETA: 2:33:55
2025-11-12 11:16:58.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 178/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 6.190e-03, size: 448, ETA: 2:33:52
2025-11-12 11:17:01.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 178/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.068s, total_loss: 7.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 6.184e-03, size: 576, ETA: 2:33:49
2025-11-12 11:17:05.414 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 178/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.164s, data_time: 0.067s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.178e-03, size: 512, ETA: 2:33:45
2025-11-12 11:17:08.926 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 178/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 6.172e-03, size: 416, ETA: 2:33:42
2025-11-12 11:17:10.424 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:17:10.453 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch179
2025-11-12 11:17:13.968 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 179/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.040s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.164e-03, size: 416, ETA: 2:33:37
2025-11-12 11:17:17.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 179/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.040s, total_loss: 6.9, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.158e-03, size: 416, ETA: 2:33:33
2025-11-12 11:17:21.020 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 179/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.175s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.152e-03, size: 416, ETA: 2:33:30
2025-11-12 11:17:24.558 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 179/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.176s, data_time: 0.075s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.147e-03, size: 384, ETA: 2:33:27
2025-11-12 11:17:28.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 179/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.174s, data_time: 0.073s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.141e-03, size: 352, ETA: 2:33:24
2025-11-12 11:17:31.467 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 179/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.080s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.135e-03, size: 288, ETA: 2:33:21
2025-11-12 11:17:33.133 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:17:33.162 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch180
2025-11-12 11:17:36.498 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 180/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.071s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 6.127e-03, size: 384, ETA: 2:33:16
2025-11-12 11:17:40.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 180/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.030s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.121e-03, size: 416, ETA: 2:33:12
2025-11-12 11:17:43.381 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 180/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.020s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 6.115e-03, size: 384, ETA: 2:33:09
2025-11-12 11:17:46.874 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 180/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.056s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.110e-03, size: 416, ETA: 2:33:05
2025-11-12 11:17:50.244 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 180/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.161s, data_time: 0.032s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.104e-03, size: 384, ETA: 2:33:02
2025-11-12 11:17:53.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 180/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.007s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.098e-03, size: 384, ETA: 2:32:58
2025-11-12 11:17:55.206 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:17:59.984 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:18:03.488 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:18:06.051 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5529
2025-11-12 11:18:06.375 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5170
2025-11-12 11:18:06.499 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3644
2025-11-12 11:18:06.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4781
2025-11-12 11:18:06.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:18:06.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:18:06.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.553
2025-11-12 11:18:06.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.517
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.364
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.478
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:18:06.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:18:06.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:18:09.416 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:18:12.294 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:18:15.138 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:18:18.009 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:18:20.878 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:18:23.736 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:18:26.584 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:18:29.426 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:18:32.277 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:18:32.277 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.24
2025-11-12 11:18:32.277 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.48
2025-11-12 11:18:32.277 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:18:32.301 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.73 ms, Average inference time: 1.36 ms

2025-11-12 11:18:32.303 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:18:32.326 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:18:32.357 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch181
2025-11-12 11:18:35.323 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 181/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.148s, data_time: 0.053s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 6.090e-03, size: 448, ETA: 2:32:52
2025-11-12 11:18:38.841 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 181/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.084e-03, size: 576, ETA: 2:32:49
2025-11-12 11:18:42.272 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 181/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 6.078e-03, size: 576, ETA: 2:32:45
2025-11-12 11:18:45.856 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 181/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.178s, data_time: 0.083s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 6.072e-03, size: 256, ETA: 2:32:42
2025-11-12 11:18:49.303 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 181/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.067e-03, size: 480, ETA: 2:32:39
2025-11-12 11:18:52.722 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 181/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.074s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.061e-03, size: 352, ETA: 2:32:35
2025-11-12 11:18:54.309 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:18:54.338 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch182
2025-11-12 11:18:57.779 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 182/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.059s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.053e-03, size: 352, ETA: 2:32:30
2025-11-12 11:19:01.237 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 182/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.157s, data_time: 0.023s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.047e-03, size: 576, ETA: 2:32:26
2025-11-12 11:19:04.815 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 182/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.157s, data_time: 0.009s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 6.041e-03, size: 448, ETA: 2:32:22
2025-11-12 11:19:08.252 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 182/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.162s, data_time: 0.006s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 6.035e-03, size: 256, ETA: 2:32:19
2025-11-12 11:19:11.823 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 182/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.007s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 6.029e-03, size: 320, ETA: 2:32:15
2025-11-12 11:19:15.281 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 182/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.006s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 6.024e-03, size: 544, ETA: 2:32:12
2025-11-12 11:19:16.883 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:19:16.913 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch183
2025-11-12 11:19:20.313 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 183/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.168s, data_time: 0.007s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 6.015e-03, size: 320, ETA: 2:32:07
2025-11-12 11:19:23.749 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 183/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.010s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.009e-03, size: 480, ETA: 2:32:03
2025-11-12 11:19:27.236 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 183/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.007s, total_loss: 7.4, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.1, lr: 6.004e-03, size: 384, ETA: 2:32:00
2025-11-12 11:19:30.614 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 183/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.010s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.998e-03, size: 416, ETA: 2:31:56
2025-11-12 11:19:34.073 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 183/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.021s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.992e-03, size: 352, ETA: 2:31:53
2025-11-12 11:19:37.493 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 183/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.008s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.986e-03, size: 320, ETA: 2:31:50
2025-11-12 11:19:39.065 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:19:39.160 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch184
2025-11-12 11:19:42.620 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 184/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.060s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.978e-03, size: 448, ETA: 2:31:45
2025-11-12 11:19:46.182 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 184/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 5.972e-03, size: 544, ETA: 2:31:42
2025-11-12 11:19:49.644 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 184/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.966e-03, size: 576, ETA: 2:31:39
2025-11-12 11:19:53.102 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 184/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 5.961e-03, size: 352, ETA: 2:31:35
2025-11-12 11:19:56.541 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 184/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 5.955e-03, size: 512, ETA: 2:31:32
2025-11-12 11:19:59.890 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 184/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.165s, data_time: 0.073s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.949e-03, size: 448, ETA: 2:31:28
2025-11-12 11:20:01.326 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:20:01.354 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch185
2025-11-12 11:20:04.855 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 185/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.163s, data_time: 0.063s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 5.941e-03, size: 512, ETA: 2:31:23
2025-11-12 11:20:08.390 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 185/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.1, lr: 5.935e-03, size: 512, ETA: 2:31:20
2025-11-12 11:20:11.864 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 185/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.072s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 5.929e-03, size: 288, ETA: 2:31:16
2025-11-12 11:20:15.406 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 185/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.037s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.7, lr: 5.923e-03, size: 544, ETA: 2:31:13
2025-11-12 11:20:18.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 185/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.055s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 5.917e-03, size: 352, ETA: 2:31:10
2025-11-12 11:20:22.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 185/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 5.912e-03, size: 512, ETA: 2:31:06
2025-11-12 11:20:23.783 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:20:28.783 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:20:34.146 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:20:37.251 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5863
2025-11-12 11:20:37.696 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5016
2025-11-12 11:20:37.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3015
2025-11-12 11:20:37.759 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4631
2025-11-12 11:20:37.759 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.586
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.502
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.301
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.463
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:20:37.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:20:37.761 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:20:37.761 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:20:37.761 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:20:37.761 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:20:41.330 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:20:44.907 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:20:48.488 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:20:52.094 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:20:55.687 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:20:59.262 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:21:02.884 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:21:06.486 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:21:10.089 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:21:10.090 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:21:10.090 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:21:10.090 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:21:10.115 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.74 ms, Average inference time: 1.40 ms

2025-11-12 11:21:10.116 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:21:10.142 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:21:10.175 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch186
2025-11-12 11:21:13.294 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 186/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.155s, data_time: 0.039s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 5.903e-03, size: 288, ETA: 2:31:01
2025-11-12 11:21:16.735 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 186/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 5.897e-03, size: 320, ETA: 2:30:57
2025-11-12 11:21:20.255 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 186/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 5.892e-03, size: 544, ETA: 2:30:54
2025-11-12 11:21:23.707 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 186/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.051s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 5.886e-03, size: 576, ETA: 2:30:51
2025-11-12 11:21:27.133 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 186/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.055s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.880e-03, size: 352, ETA: 2:30:47
2025-11-12 11:21:30.594 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 186/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.039s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.874e-03, size: 288, ETA: 2:30:44
2025-11-12 11:21:32.114 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:21:32.143 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch187
2025-11-12 11:21:35.622 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 187/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.066s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 5.866e-03, size: 320, ETA: 2:30:39
2025-11-12 11:21:39.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 187/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.179s, data_time: 0.083s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 5.860e-03, size: 448, ETA: 2:30:36
2025-11-12 11:21:42.719 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 187/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.854e-03, size: 320, ETA: 2:30:33
2025-11-12 11:21:46.408 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 187/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.183s, data_time: 0.081s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.848e-03, size: 416, ETA: 2:30:30
2025-11-12 11:21:49.736 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 187/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.064s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 5.843e-03, size: 544, ETA: 2:30:26
2025-11-12 11:21:53.157 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 187/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.050s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.837e-03, size: 544, ETA: 2:30:23
2025-11-12 11:21:54.599 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:21:54.811 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch188
2025-11-12 11:21:58.110 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 188/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.164s, data_time: 0.066s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 5.828e-03, size: 448, ETA: 2:30:17
2025-11-12 11:22:01.607 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 188/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.822e-03, size: 288, ETA: 2:30:14
2025-11-12 11:22:05.047 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 188/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.817e-03, size: 256, ETA: 2:30:11
2025-11-12 11:22:08.543 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 188/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.079s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.811e-03, size: 448, ETA: 2:30:08
2025-11-12 11:22:11.939 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 188/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.051s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.805e-03, size: 576, ETA: 2:30:04
2025-11-12 11:22:15.397 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 188/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.055s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.799e-03, size: 576, ETA: 2:30:01
2025-11-12 11:22:16.928 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:22:16.956 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch189
2025-11-12 11:22:20.360 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 189/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.791e-03, size: 544, ETA: 2:29:56
2025-11-12 11:22:23.789 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 189/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.785e-03, size: 416, ETA: 2:29:53
2025-11-12 11:22:27.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 189/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 5.779e-03, size: 448, ETA: 2:29:49
2025-11-12 11:22:30.673 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 189/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.069s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 5.773e-03, size: 288, ETA: 2:29:46
2025-11-12 11:22:34.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 189/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.027s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 5.767e-03, size: 448, ETA: 2:29:43
2025-11-12 11:22:37.582 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 189/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.041s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.762e-03, size: 480, ETA: 2:29:39
2025-11-12 11:22:39.222 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:22:39.251 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch190
2025-11-12 11:22:42.613 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 190/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.078s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.753e-03, size: 480, ETA: 2:29:34
2025-11-12 11:22:46.166 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 190/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 9.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 4.9, cls_loss: 1.0, lr: 5.747e-03, size: 544, ETA: 2:29:31
2025-11-12 11:22:49.708 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 190/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.174s, data_time: 0.071s, total_loss: 6.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.742e-03, size: 256, ETA: 2:29:28
2025-11-12 11:22:53.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 190/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 5.736e-03, size: 480, ETA: 2:29:25
2025-11-12 11:22:56.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 190/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.730e-03, size: 416, ETA: 2:29:21
2025-11-12 11:22:59.998 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 190/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.157s, data_time: 0.060s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.724e-03, size: 256, ETA: 2:29:17
2025-11-12 11:23:01.527 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:23:06.436 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:23:13.213 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:23:17.133 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5486
2025-11-12 11:23:17.671 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5064
2025-11-12 11:23:17.752 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3366
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4639
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.549
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.506
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.337
2025-11-12 11:23:17.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.464
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:23:17.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:23:22.338 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:23:26.824 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:23:31.347 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:23:35.874 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:23:40.404 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:23:44.845 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:23:49.371 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:23:53.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:23:58.318 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:23:58.318 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:23:58.319 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:23:58.319 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:23:58.350 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.70 ms, Average inference time: 1.35 ms

2025-11-12 11:23:58.351 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:23:58.374 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:23:58.446 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch191
2025-11-12 11:24:01.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 191/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.149s, data_time: 0.049s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 5.716e-03, size: 480, ETA: 2:29:11
2025-11-12 11:24:04.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 191/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 5.710e-03, size: 288, ETA: 2:29:08
2025-11-12 11:24:08.293 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 191/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.059s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.704e-03, size: 320, ETA: 2:29:04
2025-11-12 11:24:11.794 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 191/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 5.698e-03, size: 352, ETA: 2:29:01
2025-11-12 11:24:15.275 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 191/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 7.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 5.692e-03, size: 544, ETA: 2:28:58
2025-11-12 11:24:18.754 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 191/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 5.686e-03, size: 288, ETA: 2:28:55
2025-11-12 11:24:20.339 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:24:20.385 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch192
2025-11-12 11:24:23.878 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 192/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.063s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.678e-03, size: 320, ETA: 2:28:50
2025-11-12 11:24:27.377 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 192/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.160s, data_time: 0.056s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 5.672e-03, size: 320, ETA: 2:28:46
2025-11-12 11:24:30.753 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 192/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.159s, data_time: 0.066s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.666e-03, size: 320, ETA: 2:28:42
2025-11-12 11:24:34.158 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 192/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.162s, data_time: 0.053s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.661e-03, size: 416, ETA: 2:28:39
2025-11-12 11:24:37.618 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 192/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.165s, data_time: 0.022s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 5.655e-03, size: 512, ETA: 2:28:35
2025-11-12 11:24:41.014 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 192/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 7.4, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 5.649e-03, size: 288, ETA: 2:28:32
2025-11-12 11:24:42.464 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:24:42.492 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch193
2025-11-12 11:24:45.971 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 193/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.081s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.640e-03, size: 416, ETA: 2:28:26
2025-11-12 11:24:49.371 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 193/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.635e-03, size: 480, ETA: 2:28:23
2025-11-12 11:24:52.828 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 193/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 5.629e-03, size: 512, ETA: 2:28:20
2025-11-12 11:24:56.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 193/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.071s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 5.623e-03, size: 480, ETA: 2:28:16
2025-11-12 11:24:59.812 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 193/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.175s, data_time: 0.071s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.617e-03, size: 544, ETA: 2:28:13
2025-11-12 11:25:03.211 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 193/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.074s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.611e-03, size: 576, ETA: 2:28:09
2025-11-12 11:25:04.797 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:25:04.827 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch194
2025-11-12 11:25:08.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 194/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.063s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 5.603e-03, size: 352, ETA: 2:28:04
2025-11-12 11:25:11.735 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 194/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.165s, data_time: 0.022s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 5.597e-03, size: 480, ETA: 2:28:01
2025-11-12 11:25:15.215 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 194/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.165s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.591e-03, size: 416, ETA: 2:27:57
2025-11-12 11:25:18.689 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 194/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.165s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 5.585e-03, size: 384, ETA: 2:27:54
2025-11-12 11:25:22.170 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 194/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.167s, data_time: 0.008s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.579e-03, size: 288, ETA: 2:27:50
2025-11-12 11:25:25.687 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 194/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.050s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.574e-03, size: 384, ETA: 2:27:47
2025-11-12 11:25:27.175 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:25:27.205 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch195
2025-11-12 11:25:30.614 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 195/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.053s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.565e-03, size: 544, ETA: 2:27:42
2025-11-12 11:25:34.131 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 195/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.065s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 5.559e-03, size: 448, ETA: 2:27:38
2025-11-12 11:25:37.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 195/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.044s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.553e-03, size: 576, ETA: 2:27:35
2025-11-12 11:25:41.042 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 195/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.030s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 5.547e-03, size: 544, ETA: 2:27:32
2025-11-12 11:25:44.445 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 195/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.053s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.542e-03, size: 512, ETA: 2:27:28
2025-11-12 11:25:47.934 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 195/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.171s, data_time: 0.082s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.536e-03, size: 256, ETA: 2:27:25
2025-11-12 11:25:49.606 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:25:54.417 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:25:57.176 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:25:58.955 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5500
2025-11-12 11:25:59.322 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4852
2025-11-12 11:25:59.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3358
2025-11-12 11:25:59.392 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4570
2025-11-12 11:25:59.392 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:25:59.392 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:25:59.392 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.550
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.485
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.336
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.457
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:25:59.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:25:59.394 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:25:59.394 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:26:01.585 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:26:03.773 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:26:05.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:26:08.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:26:10.287 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:26:12.484 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:26:14.663 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:26:16.832 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:26:18.992 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:26:18.993 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:26:18.993 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:26:18.993 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:26:19.017 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.71 ms, Average inference time: 1.34 ms

2025-11-12 11:26:19.019 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:26:19.041 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:26:19.071 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch196
2025-11-12 11:26:22.183 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 196/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.151s, data_time: 0.050s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.527e-03, size: 352, ETA: 2:27:19
2025-11-12 11:26:25.662 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 196/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 5.521e-03, size: 352, ETA: 2:27:16
2025-11-12 11:26:29.182 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 196/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.175s, data_time: 0.083s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.516e-03, size: 480, ETA: 2:27:13
2025-11-12 11:26:32.740 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 196/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.177s, data_time: 0.088s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 5.510e-03, size: 512, ETA: 2:27:10
2025-11-12 11:26:36.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 196/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.079s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 5.504e-03, size: 576, ETA: 2:27:07
2025-11-12 11:26:39.618 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 196/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 5.498e-03, size: 384, ETA: 2:27:03
2025-11-12 11:26:41.195 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:26:41.223 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch197
2025-11-12 11:26:44.686 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 197/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.490e-03, size: 480, ETA: 2:26:58
2025-11-12 11:26:48.113 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 197/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.050s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.484e-03, size: 288, ETA: 2:26:55
2025-11-12 11:26:51.673 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 197/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.047s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.478e-03, size: 544, ETA: 2:26:51
2025-11-12 11:26:55.090 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 197/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.147s, data_time: 0.005s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 5.472e-03, size: 448, ETA: 2:26:47
2025-11-12 11:26:58.499 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 197/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.160s, data_time: 0.028s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.466e-03, size: 384, ETA: 2:26:43
2025-11-12 11:27:01.964 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 197/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.062s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.460e-03, size: 256, ETA: 2:26:40
2025-11-12 11:27:03.536 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:27:03.566 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch198
2025-11-12 11:27:06.897 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 198/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.160s, data_time: 0.069s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 1.1, lr: 5.452e-03, size: 384, ETA: 2:26:34
2025-11-12 11:27:10.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 198/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.446e-03, size: 480, ETA: 2:26:31
2025-11-12 11:27:13.893 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 198/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.079s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.440e-03, size: 576, ETA: 2:26:28
2025-11-12 11:27:17.352 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 198/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 5.434e-03, size: 352, ETA: 2:26:24
2025-11-12 11:27:20.720 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 198/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.428e-03, size: 480, ETA: 2:26:21
2025-11-12 11:27:24.108 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 198/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.167s, data_time: 0.075s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.423e-03, size: 288, ETA: 2:26:17
2025-11-12 11:27:25.645 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:27:25.669 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch199
2025-11-12 11:27:29.229 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 199/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.176s, data_time: 0.077s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.414e-03, size: 256, ETA: 2:26:13
2025-11-12 11:27:32.728 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 199/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.408e-03, size: 384, ETA: 2:26:09
2025-11-12 11:27:36.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 199/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 5.402e-03, size: 512, ETA: 2:26:06
2025-11-12 11:27:39.830 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 199/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.178s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.397e-03, size: 448, ETA: 2:26:03
2025-11-12 11:27:43.245 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 199/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.061s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.391e-03, size: 448, ETA: 2:26:00
2025-11-12 11:27:46.718 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 199/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.064s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.385e-03, size: 256, ETA: 2:25:57
2025-11-12 11:27:48.333 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:27:48.362 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch200
2025-11-12 11:27:51.783 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 200/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 5.376e-03, size: 416, ETA: 2:25:52
2025-11-12 11:27:55.167 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 200/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.066s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 5.370e-03, size: 320, ETA: 2:25:48
2025-11-12 11:27:58.608 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 200/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.8, lr: 5.365e-03, size: 512, ETA: 2:25:45
2025-11-12 11:28:02.163 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 200/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.359e-03, size: 576, ETA: 2:25:42
2025-11-12 11:28:05.623 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 200/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 5.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 5.353e-03, size: 384, ETA: 2:25:38
2025-11-12 11:28:09.055 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 200/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.347e-03, size: 544, ETA: 2:25:35
2025-11-12 11:28:10.607 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:28:15.412 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:28:17.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:28:19.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5528
2025-11-12 11:28:19.737 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4871
2025-11-12 11:28:19.819 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3013
2025-11-12 11:28:19.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4470
2025-11-12 11:28:19.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:28:19.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:28:19.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.553
2025-11-12 11:28:19.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.487
2025-11-12 11:28:19.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.301
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.447
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:28:19.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:28:19.822 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:28:21.751 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:28:23.686 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:28:25.631 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:28:27.565 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:28:29.458 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:28:32.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:28:34.254 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:28:36.421 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:28:38.508 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:28:38.509 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.22
2025-11-12 11:28:38.509 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.45
2025-11-12 11:28:38.509 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:28:38.538 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.74 ms, Average inference time: 1.39 ms

2025-11-12 11:28:38.539 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:28:38.596 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:28:38.626 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch201
2025-11-12 11:28:41.706 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 201/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.151s, data_time: 0.055s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.339e-03, size: 544, ETA: 2:25:29
2025-11-12 11:28:45.259 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 201/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.174s, data_time: 0.025s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.333e-03, size: 288, ETA: 2:25:26
2025-11-12 11:28:48.691 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 201/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.168s, data_time: 0.027s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.2, lr: 5.327e-03, size: 544, ETA: 2:25:23
2025-11-12 11:28:52.158 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 201/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.055s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.321e-03, size: 544, ETA: 2:25:19
2025-11-12 11:28:55.651 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 201/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.174s, data_time: 0.065s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.315e-03, size: 320, ETA: 2:25:16
2025-11-12 11:28:58.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 201/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.164s, data_time: 0.057s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.309e-03, size: 288, ETA: 2:25:13
2025-11-12 11:29:00.610 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:29:00.656 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch202
2025-11-12 11:29:04.166 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 202/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.175s, data_time: 0.077s, total_loss: 7.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 5.301e-03, size: 576, ETA: 2:25:08
2025-11-12 11:29:07.630 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 202/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.165s, data_time: 0.052s, total_loss: 5.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 5.295e-03, size: 416, ETA: 2:25:04
2025-11-12 11:29:11.111 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 202/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.155s, data_time: 0.027s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 5.289e-03, size: 384, ETA: 2:25:01
2025-11-12 11:29:15.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 202/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.184s, data_time: 0.011s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 5.283e-03, size: 384, ETA: 2:24:58
2025-11-12 11:29:18.851 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 202/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.158s, data_time: 0.024s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.277e-03, size: 416, ETA: 2:24:54
2025-11-12 11:29:22.325 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 202/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 5.272e-03, size: 384, ETA: 2:24:51
2025-11-12 11:29:23.951 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:29:23.981 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch203
2025-11-12 11:29:27.486 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 203/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.263e-03, size: 288, ETA: 2:24:46
2025-11-12 11:29:30.933 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 203/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.257e-03, size: 512, ETA: 2:24:43
2025-11-12 11:29:34.380 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 203/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.061s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.251e-03, size: 320, ETA: 2:24:39
2025-11-12 11:29:37.765 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 203/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.053s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 5.245e-03, size: 448, ETA: 2:24:36
2025-11-12 11:29:41.263 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 203/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.058s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.240e-03, size: 480, ETA: 2:24:32
2025-11-12 11:29:44.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 203/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.160s, data_time: 0.031s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.234e-03, size: 512, ETA: 2:24:29
2025-11-12 11:29:46.185 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:29:46.232 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch204
2025-11-12 11:29:49.615 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 204/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.156s, data_time: 0.020s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.225e-03, size: 480, ETA: 2:24:23
2025-11-12 11:29:53.079 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 204/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.158s, data_time: 0.048s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.219e-03, size: 384, ETA: 2:24:19
2025-11-12 11:29:56.501 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 204/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.164s, data_time: 0.069s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.214e-03, size: 448, ETA: 2:24:15
2025-11-12 11:30:00.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 204/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.176s, data_time: 0.077s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.208e-03, size: 576, ETA: 2:24:12
2025-11-12 11:30:03.647 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 204/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.179s, data_time: 0.082s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.202e-03, size: 352, ETA: 2:24:09
2025-11-12 11:30:07.081 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 204/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.196e-03, size: 384, ETA: 2:24:06
2025-11-12 11:30:08.671 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:30:08.703 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch205
2025-11-12 11:30:12.094 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 205/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.163s, data_time: 0.066s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.187e-03, size: 544, ETA: 2:24:01
2025-11-12 11:30:15.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 205/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 5.182e-03, size: 480, ETA: 2:23:58
2025-11-12 11:30:19.096 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 205/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.176e-03, size: 576, ETA: 2:23:54
2025-11-12 11:30:22.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 205/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 5.170e-03, size: 544, ETA: 2:23:51
2025-11-12 11:30:26.127 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 205/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.048s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.164e-03, size: 544, ETA: 2:23:48
2025-11-12 11:30:29.671 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 205/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.161s, data_time: 0.069s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.158e-03, size: 352, ETA: 2:23:44
2025-11-12 11:30:31.217 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:30:36.039 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:30:39.111 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:30:41.257 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5602
2025-11-12 11:30:41.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4829
2025-11-12 11:30:41.651 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3407
2025-11-12 11:30:41.652 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4612
2025-11-12 11:30:41.652 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.560
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.483
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.341
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.461
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:30:41.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:30:41.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:30:41.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:30:41.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:30:41.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:30:41.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:30:44.276 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:30:46.812 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:30:49.339 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:30:51.952 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:30:54.463 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:30:57.019 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:30:59.525 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:31:02.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:31:04.585 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:31:04.585 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:31:04.585 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:31:04.585 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:31:04.610 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.69 ms, Average inference time: 1.30 ms

2025-11-12 11:31:04.612 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:31:04.634 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:31:04.698 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch206
2025-11-12 11:31:07.762 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 206/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.149s, data_time: 0.057s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.150e-03, size: 544, ETA: 2:23:38
2025-11-12 11:31:11.168 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 206/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.071s, total_loss: 5.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 5.144e-03, size: 288, ETA: 2:23:35
2025-11-12 11:31:14.554 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 206/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.138e-03, size: 576, ETA: 2:23:31
2025-11-12 11:31:18.103 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 206/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.064s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 5.132e-03, size: 416, ETA: 2:23:28
2025-11-12 11:31:21.711 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 206/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.171s, data_time: 0.042s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.126e-03, size: 544, ETA: 2:23:25
2025-11-12 11:31:25.149 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 206/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.162s, data_time: 0.021s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 5.120e-03, size: 256, ETA: 2:23:21
2025-11-12 11:31:26.716 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:31:26.753 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch207
2025-11-12 11:31:30.327 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 207/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.174s, data_time: 0.006s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.112e-03, size: 512, ETA: 2:23:16
2025-11-12 11:31:33.768 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 207/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.168s, data_time: 0.013s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 5.106e-03, size: 480, ETA: 2:23:13
2025-11-12 11:31:37.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 207/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.170s, data_time: 0.015s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 5.100e-03, size: 512, ETA: 2:23:09
2025-11-12 11:31:40.744 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 207/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.174s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.094e-03, size: 448, ETA: 2:23:06
2025-11-12 11:31:44.186 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 207/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.010s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.1, lr: 5.089e-03, size: 416, ETA: 2:23:03
2025-11-12 11:31:47.580 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 207/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.164s, data_time: 0.045s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.083e-03, size: 512, ETA: 2:22:59
2025-11-12 11:31:49.259 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:31:49.289 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch208
2025-11-12 11:31:52.794 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 208/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.173s, data_time: 0.070s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.074e-03, size: 480, ETA: 2:22:55
2025-11-12 11:31:56.255 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 208/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 5.068e-03, size: 320, ETA: 2:22:51
2025-11-12 11:32:00.060 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 208/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.183s, data_time: 0.090s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.062e-03, size: 512, ETA: 2:22:49
2025-11-12 11:32:03.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 208/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.057e-03, size: 448, ETA: 2:22:45
2025-11-12 11:32:06.937 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 208/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.165s, data_time: 0.066s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.051e-03, size: 320, ETA: 2:22:42
2025-11-12 11:32:10.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 208/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.045e-03, size: 384, ETA: 2:22:38
2025-11-12 11:32:11.966 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:32:12.107 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch209
2025-11-12 11:32:15.504 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 209/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.026s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.036e-03, size: 576, ETA: 2:22:33
2025-11-12 11:32:18.887 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 209/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.166s, data_time: 0.042s, total_loss: 7.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.9, cls_loss: 0.8, lr: 5.031e-03, size: 544, ETA: 2:22:30
2025-11-12 11:32:22.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 209/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.025e-03, size: 544, ETA: 2:22:26
2025-11-12 11:32:25.702 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 209/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.163s, data_time: 0.057s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.019e-03, size: 256, ETA: 2:22:23
2025-11-12 11:32:29.468 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 209/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.187s, data_time: 0.095s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 5.013e-03, size: 416, ETA: 2:22:20
2025-11-12 11:32:33.149 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 209/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.6Gb, iter_time: 0.182s, data_time: 0.089s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.007e-03, size: 384, ETA: 2:22:17
2025-11-12 11:32:34.747 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:32:34.778 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch210
2025-11-12 11:32:38.259 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 210/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.999e-03, size: 352, ETA: 2:22:12
2025-11-12 11:32:41.735 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 210/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 4.993e-03, size: 320, ETA: 2:22:09
2025-11-12 11:32:45.147 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 210/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.987e-03, size: 352, ETA: 2:22:06
2025-11-12 11:32:48.561 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 210/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.162s, data_time: 0.041s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.981e-03, size: 320, ETA: 2:22:02
2025-11-12 11:32:52.152 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 210/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.179s, data_time: 0.077s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 4.975e-03, size: 512, ETA: 2:21:59
2025-11-12 11:32:55.610 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 210/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 4.969e-03, size: 256, ETA: 2:21:56
2025-11-12 11:32:57.080 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:33:01.987 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:33:08.899 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:33:13.321 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5788
2025-11-12 11:33:14.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5171
2025-11-12 11:33:14.426 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2647
2025-11-12 11:33:14.427 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4535
2025-11-12 11:33:14.427 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:33:14.427 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.579
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.517
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.265
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.454
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:33:14.428 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:33:14.429 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:33:14.429 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:33:14.429 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:33:19.865 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:33:25.363 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:33:30.752 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:33:36.137 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:33:41.513 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:33:46.971 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:33:52.407 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:33:57.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:34:03.135 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:34:03.136 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.22
2025-11-12 11:34:03.136 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.45
2025-11-12 11:34:03.136 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:34:03.161 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.75 ms, Average inference time: 1.42 ms

2025-11-12 11:34:03.162 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:34:03.184 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:34:03.214 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch211
2025-11-12 11:34:06.343 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 211/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.156s, data_time: 0.052s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.961e-03, size: 416, ETA: 2:21:50
2025-11-12 11:34:09.840 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 211/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.173s, data_time: 0.067s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.955e-03, size: 416, ETA: 2:21:47
2025-11-12 11:34:13.326 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 211/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.031s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.949e-03, size: 288, ETA: 2:21:44
2025-11-12 11:34:16.924 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 211/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.178s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 4.943e-03, size: 480, ETA: 2:21:40
2025-11-12 11:34:20.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 211/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.167s, data_time: 0.029s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 4.938e-03, size: 576, ETA: 2:21:37
2025-11-12 11:34:23.910 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 211/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.169s, data_time: 0.011s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.932e-03, size: 384, ETA: 2:21:34
2025-11-12 11:34:25.504 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:34:25.543 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch212
2025-11-12 11:34:29.001 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 212/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.157s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 4.923e-03, size: 352, ETA: 2:21:28
2025-11-12 11:34:32.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 212/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.159s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 4.917e-03, size: 544, ETA: 2:21:25
2025-11-12 11:34:35.963 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 212/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.158s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.912e-03, size: 576, ETA: 2:21:21
2025-11-12 11:34:39.466 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 212/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.156s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 4.906e-03, size: 512, ETA: 2:21:17
2025-11-12 11:34:42.851 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 212/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.156s, data_time: 0.022s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.900e-03, size: 576, ETA: 2:21:13
2025-11-12 11:34:46.383 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 212/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.159s, data_time: 0.021s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.894e-03, size: 480, ETA: 2:21:09
2025-11-12 11:34:47.882 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:34:48.042 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch213
2025-11-12 11:34:51.488 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 213/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.151s, data_time: 0.047s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 4.886e-03, size: 352, ETA: 2:21:03
2025-11-12 11:34:54.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 213/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.159s, data_time: 0.060s, total_loss: 7.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 4.880e-03, size: 352, ETA: 2:21:00
2025-11-12 11:34:58.359 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 213/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 4.874e-03, size: 512, ETA: 2:20:56
2025-11-12 11:35:01.882 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 213/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.868e-03, size: 256, ETA: 2:20:53
2025-11-12 11:35:05.288 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 213/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.063s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 4.862e-03, size: 256, ETA: 2:20:50
2025-11-12 11:35:08.827 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 213/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.176s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.856e-03, size: 352, ETA: 2:20:46
2025-11-12 11:35:10.424 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:35:10.453 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch214
2025-11-12 11:35:13.904 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 214/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.171s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.848e-03, size: 512, ETA: 2:20:42
2025-11-12 11:35:17.425 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 214/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.169s, data_time: 0.042s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.842e-03, size: 320, ETA: 2:20:38
2025-11-12 11:35:20.829 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 214/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.163s, data_time: 0.056s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.836e-03, size: 576, ETA: 2:20:35
2025-11-12 11:35:24.307 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 214/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.166s, data_time: 0.064s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 4.830e-03, size: 544, ETA: 2:20:31
2025-11-12 11:35:27.728 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 214/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.170s, data_time: 0.071s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.825e-03, size: 416, ETA: 2:20:28
2025-11-12 11:35:31.199 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 214/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 4.819e-03, size: 320, ETA: 2:20:24
2025-11-12 11:35:32.599 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:35:32.777 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch215
2025-11-12 11:35:36.207 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 215/600, iter: 20/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.150s, data_time: 0.021s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.810e-03, size: 416, ETA: 2:20:18
2025-11-12 11:35:39.672 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 215/600, iter: 40/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.160s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 4.804e-03, size: 256, ETA: 2:20:15
2025-11-12 11:35:43.143 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 215/600, iter: 60/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.169s, data_time: 0.003s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 4.799e-03, size: 352, ETA: 2:20:11
2025-11-12 11:35:46.641 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 215/600, iter: 80/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.172s, data_time: 0.016s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 4.793e-03, size: 544, ETA: 2:20:08
2025-11-12 11:35:50.135 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 215/600, iter: 100/129, gpu mem: 2795Mb, mem: 94.7Gb, iter_time: 0.171s, data_time: 0.026s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.787e-03, size: 544, ETA: 2:20:05
2025-11-12 11:35:53.517 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 215/600, iter: 120/129, gpu mem: 2795Mb, mem: 94.8Gb, iter_time: 0.168s, data_time: 0.020s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.781e-03, size: 416, ETA: 2:20:01
2025-11-12 11:35:55.081 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:35:59.961 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:36:02.679 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:36:04.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5749
2025-11-12 11:36:04.751 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4857
2025-11-12 11:36:04.803 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3371
2025-11-12 11:36:04.804 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4659
2025-11-12 11:36:04.804 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.575
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.486
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.337
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.466
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:36:04.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:36:04.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:36:04.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:36:04.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:36:04.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:36:04.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:36:06.954 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:36:09.026 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:36:11.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:36:13.227 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:36:15.321 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:36:17.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:36:19.469 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:36:21.548 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:36:23.659 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:36:23.659 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.24
2025-11-12 11:36:23.660 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.47
2025-11-12 11:36:23.660 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:36:23.684 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.69 ms, Average inference time: 1.32 ms

2025-11-12 11:36:23.685 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:36:23.709 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:36:23.739 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch216
2025-11-12 11:36:26.800 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 216/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.147s, data_time: 0.047s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.773e-03, size: 544, ETA: 2:19:56
2025-11-12 11:36:30.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 216/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.163s, data_time: 0.064s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.767e-03, size: 480, ETA: 2:19:52
2025-11-12 11:36:33.551 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 216/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 4.761e-03, size: 384, ETA: 2:19:49
2025-11-12 11:36:37.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 216/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.175s, data_time: 0.073s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 4.755e-03, size: 288, ETA: 2:19:45
2025-11-12 11:36:40.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 216/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 4.749e-03, size: 416, ETA: 2:19:42
2025-11-12 11:36:43.939 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 216/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.744e-03, size: 544, ETA: 2:19:39
2025-11-12 11:36:45.521 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:36:45.551 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch217
2025-11-12 11:36:48.923 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 217/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.163s, data_time: 0.071s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.735e-03, size: 480, ETA: 2:19:34
2025-11-12 11:36:52.274 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 217/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.165s, data_time: 0.069s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 4.729e-03, size: 416, ETA: 2:19:30
2025-11-12 11:36:55.802 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 217/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.175s, data_time: 0.075s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.724e-03, size: 448, ETA: 2:19:27
2025-11-12 11:36:59.332 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 217/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 4.718e-03, size: 544, ETA: 2:19:24
2025-11-12 11:37:02.683 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 217/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.165s, data_time: 0.082s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 4.712e-03, size: 320, ETA: 2:19:20
2025-11-12 11:37:06.109 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 217/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 4.706e-03, size: 448, ETA: 2:19:17
2025-11-12 11:37:07.691 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:37:07.744 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch218
2025-11-12 11:37:11.227 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 218/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.173s, data_time: 0.079s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 4.698e-03, size: 544, ETA: 2:19:12
2025-11-12 11:37:14.666 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 218/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.692e-03, size: 320, ETA: 2:19:09
2025-11-12 11:37:18.033 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 218/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.686e-03, size: 416, ETA: 2:19:05
2025-11-12 11:37:21.507 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 218/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.680e-03, size: 448, ETA: 2:19:02
2025-11-12 11:37:24.912 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 218/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.159s, data_time: 0.061s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.674e-03, size: 352, ETA: 2:18:58
2025-11-12 11:37:28.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 218/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.157s, data_time: 0.050s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.7, lr: 4.669e-03, size: 448, ETA: 2:18:55
2025-11-12 11:37:29.860 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:37:30.038 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch219
2025-11-12 11:37:33.743 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 219/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 4.660e-03, size: 320, ETA: 2:18:49
2025-11-12 11:37:37.193 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 219/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.170s, data_time: 0.085s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 4.654e-03, size: 544, ETA: 2:18:46
2025-11-12 11:37:40.655 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 219/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.156s, data_time: 0.028s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 4.648e-03, size: 512, ETA: 2:18:42
2025-11-12 11:37:44.041 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 219/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.150s, data_time: 0.009s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 4.643e-03, size: 544, ETA: 2:18:38
2025-11-12 11:37:47.426 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 219/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.167s, data_time: 0.009s, total_loss: 7.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 4.637e-03, size: 544, ETA: 2:18:35
2025-11-12 11:37:50.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 219/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.176s, data_time: 0.007s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 4.631e-03, size: 288, ETA: 2:18:32
2025-11-12 11:37:52.435 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:37:52.509 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch220
2025-11-12 11:37:55.923 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 220/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.159s, data_time: 0.049s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.623e-03, size: 576, ETA: 2:18:26
2025-11-12 11:37:59.336 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 220/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.162s, data_time: 0.063s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 4.617e-03, size: 512, ETA: 2:18:22
2025-11-12 11:38:02.830 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 220/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 7.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.8, cls_loss: 0.9, lr: 4.611e-03, size: 576, ETA: 2:18:19
2025-11-12 11:38:06.351 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 220/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 4.605e-03, size: 384, ETA: 2:18:16
2025-11-12 11:38:09.811 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 220/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.599e-03, size: 384, ETA: 2:18:12
2025-11-12 11:38:13.354 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 220/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 4.594e-03, size: 480, ETA: 2:18:09
2025-11-12 11:38:14.744 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:38:19.565 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:38:22.035 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:38:23.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5844
2025-11-12 11:38:23.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5356
2025-11-12 11:38:24.020 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3038
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4746
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.584
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.536
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.304
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.475
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:38:24.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:38:24.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:38:24.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:38:24.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:38:24.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:38:24.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:38:24.022 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:38:25.996 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:38:27.965 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:38:29.932 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:38:31.904 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:38:33.877 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:38:35.848 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:38:37.815 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:38:39.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:38:41.767 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:38:41.768 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 11:38:41.768 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.47
2025-11-12 11:38:41.768 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:38:41.792 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.60 ms, Average NMS time: 0.70 ms, Average inference time: 1.30 ms

2025-11-12 11:38:41.796 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:38:41.819 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:38:41.848 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch221
2025-11-12 11:38:44.977 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 221/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.154s, data_time: 0.064s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 4.585e-03, size: 512, ETA: 2:18:03
2025-11-12 11:38:48.431 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 221/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.170s, data_time: 0.084s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 4.579e-03, size: 480, ETA: 2:18:00
2025-11-12 11:38:52.115 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 221/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.184s, data_time: 0.092s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 4.574e-03, size: 320, ETA: 2:17:57
2025-11-12 11:38:55.642 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 221/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 4.568e-03, size: 320, ETA: 2:17:54
2025-11-12 11:38:59.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 221/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.170s, data_time: 0.067s, total_loss: 7.3, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 4.562e-03, size: 256, ETA: 2:17:51
2025-11-12 11:39:02.574 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 221/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.556e-03, size: 352, ETA: 2:17:47
2025-11-12 11:39:04.157 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:39:04.185 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch222
2025-11-12 11:39:07.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 222/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.175s, data_time: 0.090s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 4.548e-03, size: 480, ETA: 2:17:43
2025-11-12 11:39:11.157 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 222/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 4.542e-03, size: 544, ETA: 2:17:39
2025-11-12 11:39:14.630 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 222/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 4.536e-03, size: 416, ETA: 2:17:36
2025-11-12 11:39:17.981 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 222/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.166s, data_time: 0.072s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 4.530e-03, size: 544, ETA: 2:17:33
2025-11-12 11:39:21.433 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 222/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.166s, data_time: 0.061s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 4.525e-03, size: 512, ETA: 2:17:29
2025-11-12 11:39:24.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 222/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.161s, data_time: 0.029s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.519e-03, size: 256, ETA: 2:17:26
2025-11-12 11:39:26.330 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:39:26.384 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch223
2025-11-12 11:39:29.799 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 223/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.510e-03, size: 384, ETA: 2:17:21
2025-11-12 11:39:33.333 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 223/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.175s, data_time: 0.071s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 4.505e-03, size: 448, ETA: 2:17:17
2025-11-12 11:39:36.794 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 223/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.027s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 4.499e-03, size: 576, ETA: 2:17:14
2025-11-12 11:39:40.158 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 223/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.166s, data_time: 0.062s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 4.493e-03, size: 320, ETA: 2:17:10
2025-11-12 11:39:43.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 223/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 4.487e-03, size: 512, ETA: 2:17:07
2025-11-12 11:39:47.080 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 223/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.165s, data_time: 0.065s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.482e-03, size: 320, ETA: 2:17:04
2025-11-12 11:39:48.674 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:39:48.745 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch224
2025-11-12 11:39:52.197 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 224/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.164s, data_time: 0.032s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.473e-03, size: 384, ETA: 2:16:59
2025-11-12 11:39:55.565 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 224/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.165s, data_time: 0.039s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 4.467e-03, size: 256, ETA: 2:16:55
2025-11-12 11:39:59.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 224/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.9Gb, iter_time: 0.171s, data_time: 0.062s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 4.462e-03, size: 544, ETA: 2:16:52
2025-11-12 11:40:02.406 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 224/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.164s, data_time: 0.056s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.456e-03, size: 480, ETA: 2:16:48
2025-11-12 11:40:05.871 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 224/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.040s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.450e-03, size: 448, ETA: 2:16:45
2025-11-12 11:40:09.340 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 224/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.444e-03, size: 512, ETA: 2:16:42
2025-11-12 11:40:10.814 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:40:10.843 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch225
2025-11-12 11:40:14.220 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 225/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.161s, data_time: 0.061s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.436e-03, size: 576, ETA: 2:16:37
2025-11-12 11:40:17.682 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 225/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.171s, data_time: 0.059s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 4.430e-03, size: 416, ETA: 2:16:33
2025-11-12 11:40:21.201 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 225/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.024s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 4.424e-03, size: 352, ETA: 2:16:30
2025-11-12 11:40:24.765 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 225/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.177s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 4.419e-03, size: 256, ETA: 2:16:27
2025-11-12 11:40:28.280 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 225/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.171s, data_time: 0.007s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 4.413e-03, size: 288, ETA: 2:16:24
2025-11-12 11:40:31.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 225/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.168s, data_time: 0.010s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 4.407e-03, size: 544, ETA: 2:16:20
2025-11-12 11:40:33.236 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:40:38.222 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:40:42.469 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:40:45.661 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5815
2025-11-12 11:40:45.907 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5154
2025-11-12 11:40:45.965 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2720
2025-11-12 11:40:45.966 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4563
2025-11-12 11:40:45.966 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:40:45.966 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:40:45.966 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.581
2025-11-12 11:40:45.966 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.515
2025-11-12 11:40:45.966 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.272
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.456
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:40:45.967 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:40:49.516 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:40:53.035 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:40:56.580 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:41:00.119 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:41:03.613 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:41:07.124 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:41:10.635 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:41:14.151 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:41:17.646 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:41:17.646 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:41:17.646 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:41:17.646 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:41:17.671 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.70 ms, Average inference time: 1.34 ms

2025-11-12 11:41:17.672 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:41:17.694 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:41:17.723 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch226
2025-11-12 11:41:20.804 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 226/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.152s, data_time: 0.058s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 4.399e-03, size: 480, ETA: 2:16:15
2025-11-12 11:41:24.286 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 226/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 4.393e-03, size: 384, ETA: 2:16:11
2025-11-12 11:41:27.780 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 226/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.165s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 4.387e-03, size: 320, ETA: 2:16:08
2025-11-12 11:41:31.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 226/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.168s, data_time: 0.077s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.381e-03, size: 288, ETA: 2:16:04
2025-11-12 11:41:34.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 226/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.161s, data_time: 0.090s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.376e-03, size: 448, ETA: 2:16:01
2025-11-12 11:41:38.008 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 226/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.159s, data_time: 0.082s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.370e-03, size: 288, ETA: 2:15:57
2025-11-12 11:41:39.507 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:41:39.775 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch227
2025-11-12 11:41:43.308 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 227/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.150s, data_time: 0.065s, total_loss: 6.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 4.362e-03, size: 544, ETA: 2:15:51
2025-11-12 11:41:46.834 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 227/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.162s, data_time: 0.065s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 4.356e-03, size: 480, ETA: 2:15:47
2025-11-12 11:41:50.350 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 227/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.156s, data_time: 0.060s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 4.350e-03, size: 544, ETA: 2:15:44
2025-11-12 11:41:53.746 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 227/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.1Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 4.344e-03, size: 576, ETA: 2:15:40
2025-11-12 11:41:57.308 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 227/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.0Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 4.339e-03, size: 416, ETA: 2:15:37
2025-11-12 11:42:00.751 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 227/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.4Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 4.333e-03, size: 544, ETA: 2:15:34
2025-11-12 11:42:02.317 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:42:02.347 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch228
2025-11-12 11:42:05.794 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 228/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.325e-03, size: 576, ETA: 2:15:29
2025-11-12 11:42:09.304 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 228/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.071s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.319e-03, size: 576, ETA: 2:15:26
2025-11-12 11:42:12.813 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 228/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.048s, total_loss: 6.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 4.313e-03, size: 576, ETA: 2:15:22
2025-11-12 11:42:16.148 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 228/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.164s, data_time: 0.040s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 4.307e-03, size: 352, ETA: 2:15:19
2025-11-12 11:42:19.648 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 228/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 4.302e-03, size: 352, ETA: 2:15:15
2025-11-12 11:42:23.115 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 228/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.170s, data_time: 0.051s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.296e-03, size: 384, ETA: 2:15:12
2025-11-12 11:42:24.597 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:42:24.629 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch229
2025-11-12 11:42:28.000 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 229/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.168s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.287e-03, size: 352, ETA: 2:15:07
2025-11-12 11:42:31.436 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 229/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.162s, data_time: 0.060s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 4.282e-03, size: 416, ETA: 2:15:03
2025-11-12 11:42:34.889 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 229/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.154s, data_time: 0.057s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.7, lr: 4.276e-03, size: 480, ETA: 2:14:59
2025-11-12 11:42:38.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 229/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.157s, data_time: 0.057s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 4.270e-03, size: 256, ETA: 2:14:56
2025-11-12 11:42:42.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 229/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.191s, data_time: 0.093s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 4.265e-03, size: 256, ETA: 2:14:53
2025-11-12 11:42:45.460 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 229/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 4.259e-03, size: 352, ETA: 2:14:50
2025-11-12 11:42:47.028 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:42:47.059 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch230
2025-11-12 11:42:50.563 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 230/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.170s, data_time: 0.065s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 4.251e-03, size: 256, ETA: 2:14:45
2025-11-12 11:42:54.108 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 230/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.176s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.245e-03, size: 256, ETA: 2:14:42
2025-11-12 11:42:57.550 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 230/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.7, lr: 4.239e-03, size: 576, ETA: 2:14:38
2025-11-12 11:43:00.963 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 230/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 4.233e-03, size: 448, ETA: 2:14:35
2025-11-12 11:43:04.333 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 230/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.163s, data_time: 0.066s, total_loss: 6.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 4.228e-03, size: 288, ETA: 2:14:31
2025-11-12 11:43:07.738 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 230/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.169s, data_time: 0.077s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 4.222e-03, size: 544, ETA: 2:14:28
2025-11-12 11:43:09.286 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:43:14.279 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:43:16.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:43:17.980 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5828
2025-11-12 11:43:18.140 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5119
2025-11-12 11:43:18.214 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.2967
2025-11-12 11:43:18.215 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4638
2025-11-12 11:43:18.215 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:43:18.215 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:43:18.215 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.583
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.512
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.297
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.464
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:43:18.216 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:43:18.217 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:43:18.217 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:43:18.217 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:43:19.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:43:21.299 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:43:22.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:43:24.321 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:43:25.815 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:43:27.319 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:43:28.827 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:43:30.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:43:31.882 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:43:31.883 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:43:31.883 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:43:31.883 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:43:31.906 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.72 ms, Average inference time: 1.36 ms

2025-11-12 11:43:31.907 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:43:31.933 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:43:31.968 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch231
2025-11-12 11:43:35.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 231/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.151s, data_time: 0.045s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 4.214e-03, size: 288, ETA: 2:14:23
2025-11-12 11:43:38.531 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 231/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 4.208e-03, size: 320, ETA: 2:14:19
2025-11-12 11:43:42.034 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 231/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 4.202e-03, size: 352, ETA: 2:14:16
2025-11-12 11:43:45.512 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 231/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 7.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 4.196e-03, size: 544, ETA: 2:14:13
2025-11-12 11:43:48.892 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 231/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.191e-03, size: 320, ETA: 2:14:10
2025-11-12 11:43:52.367 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 231/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.185e-03, size: 384, ETA: 2:14:06
2025-11-12 11:43:53.989 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:43:54.020 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch232
2025-11-12 11:43:57.533 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 232/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 4.177e-03, size: 256, ETA: 2:14:02
2025-11-12 11:44:00.901 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 232/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.162s, data_time: 0.065s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 4.171e-03, size: 288, ETA: 2:13:58
2025-11-12 11:44:04.402 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 232/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 4.165e-03, size: 288, ETA: 2:13:55
2025-11-12 11:44:07.899 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 232/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.083s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 4.160e-03, size: 544, ETA: 2:13:51
2025-11-12 11:44:11.344 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 232/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.6Gb, iter_time: 0.164s, data_time: 0.060s, total_loss: 5.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 4.154e-03, size: 320, ETA: 2:13:48
2025-11-12 11:44:14.812 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 232/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.164s, data_time: 0.023s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 4.148e-03, size: 352, ETA: 2:13:44
2025-11-12 11:44:16.320 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:44:16.354 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch233
2025-11-12 11:44:19.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 233/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.169s, data_time: 0.029s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 4.140e-03, size: 576, ETA: 2:13:39
2025-11-12 11:44:23.153 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 233/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.164s, data_time: 0.032s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 4.134e-03, size: 288, ETA: 2:13:36
2025-11-12 11:44:26.753 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 233/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 4.129e-03, size: 288, ETA: 2:13:33
2025-11-12 11:44:30.204 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 233/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 4.123e-03, size: 448, ETA: 2:13:29
2025-11-12 11:44:33.615 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 233/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.060s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.117e-03, size: 384, ETA: 2:13:26
2025-11-12 11:44:37.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 233/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.182s, data_time: 0.023s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 4.112e-03, size: 480, ETA: 2:13:23
2025-11-12 11:44:38.813 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:44:38.868 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch234
2025-11-12 11:44:42.388 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 234/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.175s, data_time: 0.058s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 4.103e-03, size: 416, ETA: 2:13:18
2025-11-12 11:44:45.904 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 234/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 4.098e-03, size: 576, ETA: 2:13:15
2025-11-12 11:44:49.382 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 234/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.067s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.092e-03, size: 480, ETA: 2:13:12
2025-11-12 11:44:52.751 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 234/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.166s, data_time: 0.071s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 4.086e-03, size: 544, ETA: 2:13:08
2025-11-12 11:44:56.215 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 234/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.170s, data_time: 0.069s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 4.081e-03, size: 576, ETA: 2:13:05
2025-11-12 11:44:59.784 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 234/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.056s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.075e-03, size: 512, ETA: 2:13:02
2025-11-12 11:45:01.234 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:45:01.280 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch235
2025-11-12 11:45:04.812 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 235/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 4.067e-03, size: 416, ETA: 2:12:57
2025-11-12 11:45:08.209 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 235/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.167s, data_time: 0.068s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 4.061e-03, size: 480, ETA: 2:12:53
2025-11-12 11:45:11.729 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 235/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.173s, data_time: 0.072s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.055e-03, size: 448, ETA: 2:12:50
2025-11-12 11:45:15.406 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 235/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.183s, data_time: 0.082s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.8, lr: 4.050e-03, size: 512, ETA: 2:12:47
2025-11-12 11:45:18.922 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 235/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 4.044e-03, size: 320, ETA: 2:12:44
2025-11-12 11:45:22.476 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 235/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 4.038e-03, size: 384, ETA: 2:12:41
2025-11-12 11:45:24.123 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:45:28.894 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:45:31.909 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:45:34.174 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5777
2025-11-12 11:45:34.400 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.4967
2025-11-12 11:45:34.463 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3207
2025-11-12 11:45:34.464 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4650
2025-11-12 11:45:34.464 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.578
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.497
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.321
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.465
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:45:34.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:45:34.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:45:34.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:45:34.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:45:37.015 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:45:39.499 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:45:42.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:45:44.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:45:47.081 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:45:49.558 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:45:52.106 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:45:54.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:45:57.187 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:45:57.187 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:45:57.187 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.47
2025-11-12 11:45:57.187 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:45:57.212 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.71 ms, Average inference time: 1.36 ms

2025-11-12 11:45:57.213 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:45:57.235 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:45:57.265 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch236
2025-11-12 11:46:00.300 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 236/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.148s, data_time: 0.047s, total_loss: 6.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 4.030e-03, size: 352, ETA: 2:12:35
2025-11-12 11:46:03.872 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 236/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.045s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 4.024e-03, size: 288, ETA: 2:12:32
2025-11-12 11:46:07.373 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 236/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.165s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 4.019e-03, size: 576, ETA: 2:12:28
2025-11-12 11:46:10.814 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 236/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.017s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 4.013e-03, size: 288, ETA: 2:12:25
2025-11-12 11:46:14.265 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 236/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 4.008e-03, size: 416, ETA: 2:12:22
2025-11-12 11:46:17.751 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 236/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 4.002e-03, size: 480, ETA: 2:12:18
2025-11-12 11:46:19.187 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:46:19.232 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch237
2025-11-12 11:46:22.704 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 237/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.994e-03, size: 320, ETA: 2:12:13
2025-11-12 11:46:26.030 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 237/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.166s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.988e-03, size: 416, ETA: 2:12:10
2025-11-12 11:46:29.504 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 237/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.171s, data_time: 0.050s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 3.982e-03, size: 576, ETA: 2:12:06
2025-11-12 11:46:33.193 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 237/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.180s, data_time: 0.013s, total_loss: 6.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 3.977e-03, size: 352, ETA: 2:12:03
2025-11-12 11:46:36.603 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 237/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.2Gb, iter_time: 0.168s, data_time: 0.003s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.971e-03, size: 352, ETA: 2:12:00
2025-11-12 11:46:40.011 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 237/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.166s, data_time: 0.034s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 3.965e-03, size: 544, ETA: 2:11:57
2025-11-12 11:46:41.661 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:46:41.691 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch238
2025-11-12 11:46:45.136 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 238/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 3.957e-03, size: 512, ETA: 2:11:52
2025-11-12 11:46:48.633 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 238/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.7Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 3.952e-03, size: 256, ETA: 2:11:49
2025-11-12 11:46:52.056 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 238/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.170s, data_time: 0.068s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 3.946e-03, size: 480, ETA: 2:11:45
2025-11-12 11:46:55.491 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 238/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 3.940e-03, size: 576, ETA: 2:11:42
2025-11-12 11:46:58.838 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 238/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.3Gb, iter_time: 0.166s, data_time: 0.074s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 1.0, lr: 3.935e-03, size: 448, ETA: 2:11:38
2025-11-12 11:47:02.340 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 238/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.7Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.929e-03, size: 448, ETA: 2:11:35
2025-11-12 11:47:03.823 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:47:03.854 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch239
2025-11-12 11:47:07.293 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 239/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.169s, data_time: 0.079s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 3.921e-03, size: 256, ETA: 2:11:30
2025-11-12 11:47:10.817 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 239/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.175s, data_time: 0.082s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.915e-03, size: 384, ETA: 2:11:27
2025-11-12 11:47:14.319 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 239/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 3.910e-03, size: 544, ETA: 2:11:24
2025-11-12 11:47:17.750 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 239/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.077s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 3.904e-03, size: 544, ETA: 2:11:20
2025-11-12 11:47:21.230 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 239/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 3.899e-03, size: 384, ETA: 2:11:17
2025-11-12 11:47:24.816 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 239/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 3.893e-03, size: 352, ETA: 2:11:14
2025-11-12 11:47:26.488 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:47:26.525 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch240
2025-11-12 11:47:30.006 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 240/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 3.885e-03, size: 352, ETA: 2:11:09
2025-11-12 11:47:33.418 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 240/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.065s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.879e-03, size: 320, ETA: 2:11:06
2025-11-12 11:47:36.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 240/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.164s, data_time: 0.030s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 3.874e-03, size: 576, ETA: 2:11:02
2025-11-12 11:47:40.219 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 240/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.037s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.868e-03, size: 544, ETA: 2:10:59
2025-11-12 11:47:43.777 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 240/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.862e-03, size: 256, ETA: 2:10:56
2025-11-12 11:47:47.161 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 240/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.168s, data_time: 0.062s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 3.857e-03, size: 256, ETA: 2:10:52
2025-11-12 11:47:48.599 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:47:53.603 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:48:00.218 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:48:04.700 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5822
2025-11-12 11:48:05.601 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5377
2025-11-12 11:48:05.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3422
2025-11-12 11:48:05.709 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4874
2025-11-12 11:48:05.709 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:48:05.709 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:48:05.709 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.582
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.538
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.342
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.487
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:48:05.710 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:48:05.711 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:48:05.711 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:48:11.164 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:48:16.589 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:48:22.018 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:48:27.385 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:48:32.742 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:48:38.154 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:48:43.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:48:49.009 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:48:54.415 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:48:54.415 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 11:48:54.415 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.49
2025-11-12 11:48:54.415 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:48:54.440 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.60 ms, Average NMS time: 0.71 ms, Average inference time: 1.31 ms

2025-11-12 11:48:54.441 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:48:54.466 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:48:54.496 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch241
2025-11-12 11:48:57.519 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 241/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.148s, data_time: 0.036s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 3.849e-03, size: 448, ETA: 2:10:46
2025-11-12 11:49:01.024 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 241/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.170s, data_time: 0.020s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 3.843e-03, size: 352, ETA: 2:10:43
2025-11-12 11:49:04.518 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 241/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.173s, data_time: 0.039s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 3.837e-03, size: 576, ETA: 2:10:40
2025-11-12 11:49:07.954 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 241/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.018s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.832e-03, size: 448, ETA: 2:10:36
2025-11-12 11:49:11.420 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 241/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.171s, data_time: 0.041s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 3.826e-03, size: 480, ETA: 2:10:33
2025-11-12 11:49:14.837 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 241/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.014s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.8, lr: 3.821e-03, size: 576, ETA: 2:10:30
2025-11-12 11:49:16.317 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:49:16.489 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch242
2025-11-12 11:49:19.903 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 242/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 3.813e-03, size: 288, ETA: 2:10:25
2025-11-12 11:49:23.436 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 242/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.063s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.807e-03, size: 384, ETA: 2:10:21
2025-11-12 11:49:26.810 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 242/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.164s, data_time: 0.062s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 3.801e-03, size: 288, ETA: 2:10:18
2025-11-12 11:49:30.262 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 242/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.062s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 3.796e-03, size: 256, ETA: 2:10:14
2025-11-12 11:49:33.809 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 242/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.169s, data_time: 0.064s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.790e-03, size: 576, ETA: 2:10:11
2025-11-12 11:49:37.229 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 242/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.165s, data_time: 0.069s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 3.785e-03, size: 576, ETA: 2:10:07
2025-11-12 11:49:38.782 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:49:38.818 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch243
2025-11-12 11:49:42.242 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 243/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.169s, data_time: 0.052s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.777e-03, size: 352, ETA: 2:10:03
2025-11-12 11:49:45.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 243/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.169s, data_time: 0.041s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.7, lr: 3.771e-03, size: 384, ETA: 2:09:59
2025-11-12 11:49:49.154 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 243/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.170s, data_time: 0.010s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 3.765e-03, size: 256, ETA: 2:09:56
2025-11-12 11:49:52.629 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 243/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.173s, data_time: 0.003s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 3.760e-03, size: 448, ETA: 2:09:53
2025-11-12 11:49:56.040 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 243/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.006s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 3.754e-03, size: 352, ETA: 2:09:49
2025-11-12 11:49:59.480 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 243/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.035s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.1, lr: 3.749e-03, size: 384, ETA: 2:09:46
2025-11-12 11:50:01.016 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:50:01.123 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch244
2025-11-12 11:50:04.596 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 244/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.049s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 3.741e-03, size: 320, ETA: 2:09:41
2025-11-12 11:50:08.124 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 244/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 3.735e-03, size: 256, ETA: 2:09:38
2025-11-12 11:50:11.574 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 244/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 3.730e-03, size: 384, ETA: 2:09:34
2025-11-12 11:50:15.055 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 244/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.724e-03, size: 288, ETA: 2:09:31
2025-11-12 11:50:18.547 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 244/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.085s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 3.719e-03, size: 544, ETA: 2:09:28
2025-11-12 11:50:21.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 244/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.073s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 3.713e-03, size: 416, ETA: 2:09:24
2025-11-12 11:50:23.445 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:50:23.475 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch245
2025-11-12 11:50:26.993 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 245/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 3.705e-03, size: 512, ETA: 2:09:19
2025-11-12 11:50:30.496 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 245/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.080s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 3.699e-03, size: 480, ETA: 2:09:16
2025-11-12 11:50:33.937 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 245/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.694e-03, size: 320, ETA: 2:09:13
2025-11-12 11:50:37.467 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 245/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.087s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 3.688e-03, size: 416, ETA: 2:09:09
2025-11-12 11:50:41.021 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 245/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.038s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.683e-03, size: 416, ETA: 2:09:06
2025-11-12 11:50:44.475 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 245/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.032s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 3.677e-03, size: 448, ETA: 2:09:03
2025-11-12 11:50:46.106 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:50:50.946 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:50:53.582 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:50:55.007 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5845
2025-11-12 11:50:55.224 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5253
2025-11-12 11:50:55.335 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3227
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4775
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.584
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.525
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.323
2025-11-12 11:50:55.336 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.477
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:50:55.337 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:50:57.052 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:50:58.728 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:51:00.459 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:51:02.165 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:51:03.826 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:51:05.542 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:51:07.232 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:51:08.886 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:51:10.599 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:51:10.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 11:51:10.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.48
2025-11-12 11:51:10.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:51:10.624 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.67 ms, Average inference time: 1.30 ms

2025-11-12 11:51:10.625 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:51:10.651 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:51:10.684 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch246
2025-11-12 11:51:13.779 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 246/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.154s, data_time: 0.045s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 3.669e-03, size: 352, ETA: 2:08:58
2025-11-12 11:51:17.285 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 246/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.175s, data_time: 0.059s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 3.664e-03, size: 320, ETA: 2:08:54
2025-11-12 11:51:20.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 246/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.177s, data_time: 0.081s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.658e-03, size: 576, ETA: 2:08:51
2025-11-12 11:51:24.285 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 246/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.166s, data_time: 0.069s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.653e-03, size: 288, ETA: 2:08:48
2025-11-12 11:51:27.681 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 246/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 3.647e-03, size: 512, ETA: 2:08:44
2025-11-12 11:51:31.095 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 246/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.642e-03, size: 320, ETA: 2:08:41
2025-11-12 11:51:32.585 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:51:32.614 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch247
2025-11-12 11:51:36.094 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 247/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.170s, data_time: 0.087s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 3.634e-03, size: 544, ETA: 2:08:36
2025-11-12 11:51:39.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 247/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.166s, data_time: 0.077s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.628e-03, size: 352, ETA: 2:08:33
2025-11-12 11:51:43.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 247/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 3.623e-03, size: 320, ETA: 2:08:29
2025-11-12 11:51:46.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 247/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.617e-03, size: 544, ETA: 2:08:26
2025-11-12 11:51:49.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 247/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.166s, data_time: 0.064s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.612e-03, size: 416, ETA: 2:08:23
2025-11-12 11:51:53.291 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 247/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.606e-03, size: 384, ETA: 2:08:19
2025-11-12 11:51:54.920 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:51:54.950 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch248
2025-11-12 11:51:58.337 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 248/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.165s, data_time: 0.067s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 3.598e-03, size: 576, ETA: 2:08:14
2025-11-12 11:52:01.769 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 248/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.165s, data_time: 0.029s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.593e-03, size: 416, ETA: 2:08:11
2025-11-12 11:52:05.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 248/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.160s, data_time: 0.035s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 3.587e-03, size: 544, ETA: 2:08:07
2025-11-12 11:52:08.738 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 248/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.163s, data_time: 0.061s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 3.582e-03, size: 480, ETA: 2:08:04
2025-11-12 11:52:12.235 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 248/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.576e-03, size: 480, ETA: 2:08:00
2025-11-12 11:52:15.795 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 248/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 3.571e-03, size: 512, ETA: 2:07:57
2025-11-12 11:52:17.220 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:52:17.251 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch249
2025-11-12 11:52:20.694 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 249/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 3.563e-03, size: 384, ETA: 2:07:52
2025-11-12 11:52:24.239 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 249/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 3.557e-03, size: 480, ETA: 2:07:49
2025-11-12 11:52:27.697 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 249/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.6Gb, iter_time: 0.169s, data_time: 0.080s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 3.552e-03, size: 512, ETA: 2:07:45
2025-11-12 11:52:31.175 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 249/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.546e-03, size: 416, ETA: 2:07:42
2025-11-12 11:52:34.606 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 249/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 3.541e-03, size: 416, ETA: 2:07:39
2025-11-12 11:52:37.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 249/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.536e-03, size: 512, ETA: 2:07:35
2025-11-12 11:52:39.576 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:52:39.661 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch250
2025-11-12 11:52:43.172 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 250/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.166s, data_time: 0.020s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 3.528e-03, size: 256, ETA: 2:07:30
2025-11-12 11:52:46.535 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 250/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.160s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.522e-03, size: 544, ETA: 2:07:27
2025-11-12 11:52:49.921 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 250/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.161s, data_time: 0.037s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 3.517e-03, size: 384, ETA: 2:07:23
2025-11-12 11:52:53.455 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 250/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 3.511e-03, size: 576, ETA: 2:07:20
2025-11-12 11:52:56.888 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 250/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.506e-03, size: 480, ETA: 2:07:17
2025-11-12 11:53:00.430 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 250/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.500e-03, size: 288, ETA: 2:07:13
2025-11-12 11:53:01.940 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:53:06.842 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:53:11.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:53:15.563 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.4999
2025-11-12 11:53:16.041 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5327
2025-11-12 11:53:16.126 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3367
2025-11-12 11:53:16.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4564
2025-11-12 11:53:16.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:53:16.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:53:16.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.500
2025-11-12 11:53:16.127 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.533
2025-11-12 11:53:16.128 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.337
2025-11-12 11:53:16.128 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.456
2025-11-12 11:53:16.128 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:53:16.128 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:53:16.128 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:53:16.128 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:53:16.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:53:16.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:53:16.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:53:16.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:53:16.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:53:20.396 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:53:24.661 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:53:28.942 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:53:33.181 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:53:37.463 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:53:41.718 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:53:46.025 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:53:50.324 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:53:54.599 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:53:54.599 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.23
2025-11-12 11:53:54.599 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.46
2025-11-12 11:53:54.600 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:53:54.624 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.69 ms, Average inference time: 1.31 ms

2025-11-12 11:53:54.625 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:53:54.648 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:53:54.678 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch251
2025-11-12 11:53:57.676 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 251/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.147s, data_time: 0.046s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 3.492e-03, size: 448, ETA: 2:07:08
2025-11-12 11:54:01.270 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 251/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.487e-03, size: 512, ETA: 2:07:05
2025-11-12 11:54:04.761 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 251/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.159s, data_time: 0.061s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.482e-03, size: 448, ETA: 2:07:01
2025-11-12 11:54:08.077 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 251/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.165s, data_time: 0.076s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 3.476e-03, size: 416, ETA: 2:06:57
2025-11-12 11:54:11.616 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 251/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.055s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.471e-03, size: 544, ETA: 2:06:54
2025-11-12 11:54:15.182 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 251/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.077s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.465e-03, size: 480, ETA: 2:06:51
2025-11-12 11:54:16.830 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:54:16.860 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch252
2025-11-12 11:54:20.483 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 252/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.180s, data_time: 0.087s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 3.457e-03, size: 352, ETA: 2:06:46
2025-11-12 11:54:23.958 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 252/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.452e-03, size: 512, ETA: 2:06:43
2025-11-12 11:54:27.340 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 252/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.073s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 3.447e-03, size: 512, ETA: 2:06:40
2025-11-12 11:54:30.720 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 252/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.1, lr: 3.441e-03, size: 256, ETA: 2:06:36
2025-11-12 11:54:34.275 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 252/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.085s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 3.436e-03, size: 352, ETA: 2:06:33
2025-11-12 11:54:37.673 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 252/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.078s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.430e-03, size: 416, ETA: 2:06:30
2025-11-12 11:54:39.155 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:54:39.184 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch253
2025-11-12 11:54:42.707 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 253/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.086s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 3.422e-03, size: 416, ETA: 2:06:25
2025-11-12 11:54:46.155 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 253/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.059s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 3.417e-03, size: 448, ETA: 2:06:21
2025-11-12 11:54:49.676 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 253/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.008s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.412e-03, size: 448, ETA: 2:06:18
2025-11-12 11:54:53.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 253/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.018s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 3.406e-03, size: 320, ETA: 2:06:15
2025-11-12 11:54:56.562 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 253/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.065s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.1, lr: 3.401e-03, size: 256, ETA: 2:06:11
2025-11-12 11:55:00.047 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 253/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 3.395e-03, size: 256, ETA: 2:06:08
2025-11-12 11:55:01.720 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:55:01.753 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch254
2025-11-12 11:55:05.283 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 254/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.063s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.388e-03, size: 544, ETA: 2:06:03
2025-11-12 11:55:08.729 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 254/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.063s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 3.382e-03, size: 288, ETA: 2:06:00
2025-11-12 11:55:12.272 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 254/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.377e-03, size: 448, ETA: 2:05:57
2025-11-12 11:55:15.705 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 254/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.372e-03, size: 512, ETA: 2:05:54
2025-11-12 11:55:19.180 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 254/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.082s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.366e-03, size: 480, ETA: 2:05:50
2025-11-12 11:55:22.618 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 254/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.361e-03, size: 256, ETA: 2:05:47
2025-11-12 11:55:24.176 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:55:24.204 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch255
2025-11-12 11:55:27.624 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 255/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.353e-03, size: 352, ETA: 2:05:42
2025-11-12 11:55:31.349 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 255/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.185s, data_time: 0.081s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.348e-03, size: 416, ETA: 2:05:39
2025-11-12 11:55:34.774 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 255/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 6.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 3.342e-03, size: 256, ETA: 2:05:36
2025-11-12 11:55:38.297 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 255/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.337e-03, size: 512, ETA: 2:05:33
2025-11-12 11:55:41.669 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 255/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 7.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 1.0, lr: 3.332e-03, size: 384, ETA: 2:05:29
2025-11-12 11:55:45.188 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 255/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 3.326e-03, size: 416, ETA: 2:05:26
2025-11-12 11:55:46.796 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:55:51.683 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:55:53.579 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:55:54.718 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5850
2025-11-12 11:55:54.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5308
2025-11-12 11:55:55.046 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3223
2025-11-12 11:55:55.046 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4793
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.585
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.531
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.322
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.479
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:55:55.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:55:55.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:55:55.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:55:55.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:55:55.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:55:55.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:55:56.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:55:57.929 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:55:59.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:56:00.773 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:56:02.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:56:03.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:56:05.096 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:56:06.526 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:56:07.982 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:56:07.983 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.26
2025-11-12 11:56:07.983 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.48
2025-11-12 11:56:07.983 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:56:07.992 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.73 ms, Average inference time: 1.38 ms

2025-11-12 11:56:07.994 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:56:08.017 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:56:08.047 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch256
2025-11-12 11:56:11.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 256/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.149s, data_time: 0.053s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 3.318e-03, size: 576, ETA: 2:05:21
2025-11-12 11:56:14.603 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 256/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.072s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.313e-03, size: 480, ETA: 2:05:17
2025-11-12 11:56:18.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 256/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.082s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.308e-03, size: 256, ETA: 2:05:14
2025-11-12 11:56:21.666 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 256/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.177s, data_time: 0.079s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 3.302e-03, size: 288, ETA: 2:05:11
2025-11-12 11:56:25.076 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 256/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.068s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 3.297e-03, size: 480, ETA: 2:05:08
2025-11-12 11:56:28.445 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 256/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.292e-03, size: 480, ETA: 2:05:04
2025-11-12 11:56:29.998 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:56:30.025 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch257
2025-11-12 11:56:33.479 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 257/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 3.284e-03, size: 288, ETA: 2:04:59
2025-11-12 11:56:36.956 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 257/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 3.279e-03, size: 288, ETA: 2:04:56
2025-11-12 11:56:40.426 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 257/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 3.273e-03, size: 320, ETA: 2:04:53
2025-11-12 11:56:43.787 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 257/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.165s, data_time: 0.083s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.268e-03, size: 480, ETA: 2:04:49
2025-11-12 11:56:47.238 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 257/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.080s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.263e-03, size: 416, ETA: 2:04:46
2025-11-12 11:56:50.835 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 257/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.178s, data_time: 0.079s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 3.257e-03, size: 544, ETA: 2:04:43
2025-11-12 11:56:52.353 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:56:52.391 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch258
2025-11-12 11:56:55.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 258/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.070s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 3.250e-03, size: 544, ETA: 2:04:38
2025-11-12 11:56:59.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 258/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.166s, data_time: 0.064s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.244e-03, size: 352, ETA: 2:04:34
2025-11-12 11:57:02.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 258/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.061s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.239e-03, size: 512, ETA: 2:04:31
2025-11-12 11:57:06.108 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 258/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.162s, data_time: 0.067s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 3.234e-03, size: 256, ETA: 2:04:28
2025-11-12 11:57:09.531 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 258/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.085s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.228e-03, size: 480, ETA: 2:04:24
2025-11-12 11:57:13.003 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 258/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.060s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.223e-03, size: 512, ETA: 2:04:21
2025-11-12 11:57:14.528 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:57:14.587 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch259
2025-11-12 11:57:17.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 259/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.164s, data_time: 0.070s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.215e-03, size: 352, ETA: 2:04:16
2025-11-12 11:57:21.387 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 259/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.082s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.210e-03, size: 416, ETA: 2:04:12
2025-11-12 11:57:24.818 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 259/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.7, lr: 3.205e-03, size: 576, ETA: 2:04:09
2025-11-12 11:57:28.358 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 259/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.062s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.200e-03, size: 288, ETA: 2:04:06
2025-11-12 11:57:31.790 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 259/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 3.194e-03, size: 384, ETA: 2:04:02
2025-11-12 11:57:35.248 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 259/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.052s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.189e-03, size: 320, ETA: 2:03:59
2025-11-12 11:57:36.890 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:57:36.928 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch260
2025-11-12 11:57:40.438 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 260/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 3.181e-03, size: 544, ETA: 2:03:54
2025-11-12 11:57:43.961 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 260/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 3.176e-03, size: 416, ETA: 2:03:51
2025-11-12 11:57:47.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 260/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.7, lr: 3.171e-03, size: 544, ETA: 2:03:48
2025-11-12 11:57:51.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 260/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.166e-03, size: 352, ETA: 2:03:45
2025-11-12 11:57:54.552 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 260/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.071s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.160e-03, size: 544, ETA: 2:03:41
2025-11-12 11:57:57.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 260/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.069s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 3.155e-03, size: 416, ETA: 2:03:38
2025-11-12 11:57:59.486 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:58:04.270 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 11:58:06.319 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 11:58:07.721 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5729
2025-11-12 11:58:07.870 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5214
2025-11-12 11:58:07.972 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3122
2025-11-12 11:58:07.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4688
2025-11-12 11:58:07.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 11:58:07.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 11:58:07.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.573
2025-11-12 11:58:07.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.521
2025-11-12 11:58:07.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.312
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.469
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 11:58:07.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 11:58:09.540 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 11:58:11.167 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 11:58:12.731 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 11:58:14.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 11:58:15.924 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 11:58:17.545 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 11:58:19.107 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 11:58:20.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 11:58:22.300 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 11:58:22.301 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 11:58:22.301 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.47
2025-11-12 11:58:22.301 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 11:58:22.326 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.71 ms, Average inference time: 1.37 ms

2025-11-12 11:58:22.327 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:58:22.350 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:58:22.381 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch261
2025-11-12 11:58:25.471 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 261/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.153s, data_time: 0.065s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.147e-03, size: 256, ETA: 2:03:33
2025-11-12 11:58:29.007 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 261/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.053s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.142e-03, size: 480, ETA: 2:03:29
2025-11-12 11:58:32.534 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 261/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.086s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.137e-03, size: 416, ETA: 2:03:26
2025-11-12 11:58:35.995 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 261/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 3.132e-03, size: 576, ETA: 2:03:23
2025-11-12 11:58:39.515 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 261/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.066s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.126e-03, size: 512, ETA: 2:03:20
2025-11-12 11:58:42.958 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 261/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.121e-03, size: 256, ETA: 2:03:16
2025-11-12 11:58:44.650 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:58:44.680 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch262
2025-11-12 11:58:48.014 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 262/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.163s, data_time: 0.068s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 3.114e-03, size: 288, ETA: 2:03:11
2025-11-12 11:58:51.475 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 262/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 3.108e-03, size: 448, ETA: 2:03:08
2025-11-12 11:58:54.971 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 262/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.103e-03, size: 544, ETA: 2:03:05
2025-11-12 11:58:58.359 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 262/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.166s, data_time: 0.075s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 3.098e-03, size: 576, ETA: 2:03:01
2025-11-12 11:59:01.778 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 262/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.062s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.093e-03, size: 384, ETA: 2:02:58
2025-11-12 11:59:05.162 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 262/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.055s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.087e-03, size: 320, ETA: 2:02:54
2025-11-12 11:59:06.660 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:59:06.684 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch263
2025-11-12 11:59:10.147 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 263/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 4.9, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 1.8, cls_loss: 0.7, lr: 3.080e-03, size: 512, ETA: 2:02:49
2025-11-12 11:59:13.536 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 263/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.075e-03, size: 256, ETA: 2:02:46
2025-11-12 11:59:17.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 263/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.070e-03, size: 448, ETA: 2:02:43
2025-11-12 11:59:20.485 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 263/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.072s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.064e-03, size: 512, ETA: 2:02:39
2025-11-12 11:59:23.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 263/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 3.059e-03, size: 320, ETA: 2:02:36
2025-11-12 11:59:27.468 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 263/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 7.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 3.054e-03, size: 512, ETA: 2:02:33
2025-11-12 11:59:29.031 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:59:29.062 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch264
2025-11-12 11:59:32.536 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 264/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.082s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 3.046e-03, size: 256, ETA: 2:02:28
2025-11-12 11:59:35.909 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 264/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 3.041e-03, size: 352, ETA: 2:02:24
2025-11-12 11:59:39.308 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 264/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.166s, data_time: 0.069s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 3.036e-03, size: 544, ETA: 2:02:21
2025-11-12 11:59:42.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 264/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.042s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 3.031e-03, size: 448, ETA: 2:02:18
2025-11-12 11:59:46.287 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 264/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.166s, data_time: 0.059s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 3.026e-03, size: 480, ETA: 2:02:14
2025-11-12 11:59:49.787 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 264/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.072s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 3.020e-03, size: 384, ETA: 2:02:11
2025-11-12 11:59:51.235 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 11:59:51.306 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch265
2025-11-12 11:59:54.735 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 265/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.063s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 3.013e-03, size: 352, ETA: 2:02:06
2025-11-12 11:59:58.167 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 265/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 3.008e-03, size: 416, ETA: 2:02:03
2025-11-12 12:00:01.691 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 265/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 3.003e-03, size: 480, ETA: 2:01:59
2025-11-12 12:00:05.134 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 265/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.998e-03, size: 288, ETA: 2:01:56
2025-11-12 12:00:08.599 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 265/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.992e-03, size: 448, ETA: 2:01:53
2025-11-12 12:00:12.058 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 265/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.987e-03, size: 256, ETA: 2:01:49
2025-11-12 12:00:13.518 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:00:18.370 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:00:20.851 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:00:22.410 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5665
2025-11-12 12:00:22.718 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5374
2025-11-12 12:00:22.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3312
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4784
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.566
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.537
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.331
2025-11-12 12:00:22.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.478
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:00:22.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:00:24.764 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:00:26.691 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:00:28.628 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:00:30.562 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:00:32.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:00:34.426 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:00:36.368 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:00:38.300 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:00:40.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:00:40.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 12:00:40.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.48
2025-11-12 12:00:40.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:00:40.250 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.69 ms, Average inference time: 1.31 ms

2025-11-12 12:00:40.251 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:00:40.273 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:00:40.303 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch266
2025-11-12 12:00:43.359 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 266/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.151s, data_time: 0.051s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.980e-03, size: 320, ETA: 2:01:44
2025-11-12 12:00:46.734 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 266/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.1, lr: 2.975e-03, size: 256, ETA: 2:01:40
2025-11-12 12:00:50.264 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 266/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.176s, data_time: 0.074s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 2.969e-03, size: 352, ETA: 2:01:37
2025-11-12 12:00:53.699 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 266/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.163s, data_time: 0.062s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.964e-03, size: 448, ETA: 2:01:34
2025-11-12 12:00:57.270 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 266/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.959e-03, size: 320, ETA: 2:01:30
2025-11-12 12:01:00.950 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 266/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.181s, data_time: 0.087s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 2.954e-03, size: 448, ETA: 2:01:27
2025-11-12 12:01:02.483 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:01:02.513 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch267
2025-11-12 12:01:05.984 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 267/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.947e-03, size: 448, ETA: 2:01:23
2025-11-12 12:01:09.385 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 267/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.070s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.942e-03, size: 512, ETA: 2:01:19
2025-11-12 12:01:12.754 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 267/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.148s, data_time: 0.043s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.936e-03, size: 448, ETA: 2:01:15
2025-11-12 12:01:16.172 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 267/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.152s, data_time: 0.050s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.931e-03, size: 512, ETA: 2:01:11
2025-11-12 12:01:19.565 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 267/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.062s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.926e-03, size: 352, ETA: 2:01:08
2025-11-12 12:01:23.130 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 267/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 2.921e-03, size: 544, ETA: 2:01:05
2025-11-12 12:01:24.716 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:01:24.752 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch268
2025-11-12 12:01:28.171 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 268/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.914e-03, size: 288, ETA: 2:01:00
2025-11-12 12:01:31.537 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 268/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.074s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 1.0, lr: 2.909e-03, size: 544, ETA: 2:00:56
2025-11-12 12:01:34.945 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 268/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.070s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 2.903e-03, size: 448, ETA: 2:00:53
2025-11-12 12:01:38.322 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 268/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.062s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 1.0, lr: 2.898e-03, size: 544, ETA: 2:00:49
2025-11-12 12:01:41.744 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 268/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.016s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.893e-03, size: 288, ETA: 2:00:46
2025-11-12 12:01:45.233 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 268/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.053s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.888e-03, size: 480, ETA: 2:00:42
2025-11-12 12:01:46.708 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:01:46.741 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch269
2025-11-12 12:01:50.266 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 269/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.012s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.6, lr: 2.881e-03, size: 320, ETA: 2:00:37
2025-11-12 12:01:53.625 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 269/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.039s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.876e-03, size: 320, ETA: 2:00:34
2025-11-12 12:01:57.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 269/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.103s, total_loss: 6.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.871e-03, size: 320, ETA: 2:00:30
2025-11-12 12:02:00.745 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 269/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.866e-03, size: 576, ETA: 2:00:27
2025-11-12 12:02:04.242 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 269/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.066s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.861e-03, size: 288, ETA: 2:00:24
2025-11-12 12:02:07.714 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 269/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.855e-03, size: 416, ETA: 2:00:21
2025-11-12 12:02:09.377 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:02:09.407 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch270
2025-11-12 12:02:12.784 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 270/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.081s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.848e-03, size: 352, ETA: 2:00:16
2025-11-12 12:02:16.124 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 270/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.166s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.843e-03, size: 448, ETA: 2:00:12
2025-11-12 12:02:19.666 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 270/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.838e-03, size: 416, ETA: 2:00:09
2025-11-12 12:02:23.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 270/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.833e-03, size: 384, ETA: 2:00:06
2025-11-12 12:02:26.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 270/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.828e-03, size: 352, ETA: 2:00:02
2025-11-12 12:02:30.125 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 270/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 2.823e-03, size: 512, ETA: 1:59:59
2025-11-12 12:02:31.628 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:02:36.503 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:02:38.042 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:02:38.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5738
2025-11-12 12:02:39.176 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5150
2025-11-12 12:02:39.218 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3515
2025-11-12 12:02:39.219 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4801
2025-11-12 12:02:39.219 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:02:39.219 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:02:39.219 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.574
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.515
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.352
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.480
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:02:39.220 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:02:39.221 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:02:39.221 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:02:40.395 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:02:41.561 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:02:42.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:02:43.896 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:02:45.051 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:02:46.204 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:02:47.352 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:02:48.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:02:49.651 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:02:49.651 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 12:02:49.651 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.48
2025-11-12 12:02:49.651 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:02:49.658 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.66 ms, Average inference time: 1.29 ms

2025-11-12 12:02:49.660 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:02:49.683 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:02:49.711 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch271
2025-11-12 12:02:52.762 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 271/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.150s, data_time: 0.048s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 2.816e-03, size: 448, ETA: 1:59:54
2025-11-12 12:02:56.224 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 271/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.071s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.811e-03, size: 544, ETA: 1:59:50
2025-11-12 12:02:59.730 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 271/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.071s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.806e-03, size: 352, ETA: 1:59:47
2025-11-12 12:03:03.452 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 271/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.182s, data_time: 0.086s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 2.801e-03, size: 512, ETA: 1:59:44
2025-11-12 12:03:07.002 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 271/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.796e-03, size: 352, ETA: 1:59:41
2025-11-12 12:03:10.399 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 271/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 2.791e-03, size: 512, ETA: 1:59:37
2025-11-12 12:03:12.004 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:03:12.033 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch272
2025-11-12 12:03:15.555 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 272/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.783e-03, size: 384, ETA: 1:59:33
2025-11-12 12:03:19.074 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 272/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.778e-03, size: 544, ETA: 1:59:29
2025-11-12 12:03:22.658 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 272/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.176s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 2.773e-03, size: 352, ETA: 1:59:26
2025-11-12 12:03:26.087 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 272/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 2.768e-03, size: 480, ETA: 1:59:23
2025-11-12 12:03:29.595 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 272/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.174s, data_time: 0.069s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.763e-03, size: 480, ETA: 1:59:20
2025-11-12 12:03:33.034 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 272/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 6.6, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.758e-03, size: 256, ETA: 1:59:16
2025-11-12 12:03:34.566 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:03:34.597 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch273
2025-11-12 12:03:38.102 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 273/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.751e-03, size: 512, ETA: 1:59:11
2025-11-12 12:03:41.567 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 273/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.068s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.746e-03, size: 480, ETA: 1:59:08
2025-11-12 12:03:45.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 273/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.064s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 2.741e-03, size: 416, ETA: 1:59:05
2025-11-12 12:03:48.536 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 273/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.012s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.736e-03, size: 576, ETA: 1:59:01
2025-11-12 12:03:51.965 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 273/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.012s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.731e-03, size: 256, ETA: 1:58:58
2025-11-12 12:03:55.334 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 273/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.052s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 2.726e-03, size: 416, ETA: 1:58:55
2025-11-12 12:03:56.841 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:03:56.910 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch274
2025-11-12 12:04:00.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 274/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.719e-03, size: 480, ETA: 1:58:50
2025-11-12 12:04:03.814 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 274/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.172s, data_time: 0.063s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.714e-03, size: 544, ETA: 1:58:46
2025-11-12 12:04:07.236 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 274/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.164s, data_time: 0.064s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.709e-03, size: 448, ETA: 1:58:43
2025-11-12 12:04:10.719 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 274/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.042s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 2.704e-03, size: 384, ETA: 1:58:39
2025-11-12 12:04:14.116 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 274/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.160s, data_time: 0.038s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 2.699e-03, size: 352, ETA: 1:58:36
2025-11-12 12:04:17.608 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 274/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.025s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.694e-03, size: 544, ETA: 1:58:32
2025-11-12 12:04:19.096 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:04:19.231 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch275
2025-11-12 12:04:22.749 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 275/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.155s, data_time: 0.003s, total_loss: 6.5, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.687e-03, size: 256, ETA: 1:58:27
2025-11-12 12:04:26.097 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 275/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.150s, data_time: 0.004s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.682e-03, size: 384, ETA: 1:58:23
2025-11-12 12:04:29.538 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 275/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.038s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 2.677e-03, size: 576, ETA: 1:58:19
2025-11-12 12:04:32.947 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 275/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.163s, data_time: 0.035s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.672e-03, size: 416, ETA: 1:58:16
2025-11-12 12:04:36.337 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 275/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 2.667e-03, size: 480, ETA: 1:58:12
2025-11-12 12:04:39.796 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 275/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.663e-03, size: 576, ETA: 1:58:09
2025-11-12 12:04:41.340 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:04:46.311 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:04:47.607 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:04:48.410 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5811
2025-11-12 12:04:48.515 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5286
2025-11-12 12:04:48.568 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3349
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4815
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.581
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.529
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.335
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.482
2025-11-12 12:04:48.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:04:48.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:04:49.543 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:04:50.507 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:04:51.449 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:04:52.407 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:04:53.369 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:04:54.312 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:04:55.261 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:04:56.208 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:04:57.131 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:04:57.132 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.25
2025-11-12 12:04:57.132 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.48
2025-11-12 12:04:57.132 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:04:57.139 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.70 ms, Average inference time: 1.33 ms

2025-11-12 12:04:57.141 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:04:57.163 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:04:57.225 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch276
2025-11-12 12:05:00.248 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 276/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.150s, data_time: 0.051s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 2.655e-03, size: 544, ETA: 1:58:04
2025-11-12 12:05:03.700 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 276/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.651e-03, size: 288, ETA: 1:58:00
2025-11-12 12:05:07.210 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 276/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.646e-03, size: 288, ETA: 1:57:57
2025-11-12 12:05:10.796 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 276/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.061s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 2.641e-03, size: 576, ETA: 1:57:54
2025-11-12 12:05:14.267 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 276/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 7.7, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.6, cls_loss: 0.9, lr: 2.636e-03, size: 352, ETA: 1:57:50
2025-11-12 12:05:17.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 276/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 2.631e-03, size: 544, ETA: 1:57:47
2025-11-12 12:05:19.369 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:05:19.398 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch277
2025-11-12 12:05:22.890 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 277/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.174s, data_time: 0.076s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.624e-03, size: 416, ETA: 1:57:42
2025-11-12 12:05:26.301 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 277/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 2.619e-03, size: 480, ETA: 1:57:39
2025-11-12 12:05:29.809 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 277/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 2.614e-03, size: 576, ETA: 1:57:36
2025-11-12 12:05:33.347 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 277/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.071s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.609e-03, size: 512, ETA: 1:57:32
2025-11-12 12:05:36.754 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 277/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.076s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 2.604e-03, size: 288, ETA: 1:57:29
2025-11-12 12:05:40.225 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 277/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.600e-03, size: 288, ETA: 1:57:26
2025-11-12 12:05:41.834 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:05:41.876 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch278
2025-11-12 12:05:45.295 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 278/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.074s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.7, lr: 2.592e-03, size: 384, ETA: 1:57:21
2025-11-12 12:05:48.685 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 278/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.168s, data_time: 0.036s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.588e-03, size: 320, ETA: 1:57:17
2025-11-12 12:05:52.173 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 278/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.062s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.583e-03, size: 256, ETA: 1:57:14
2025-11-12 12:05:55.600 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 278/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.037s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.578e-03, size: 576, ETA: 1:57:10
2025-11-12 12:05:58.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 278/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 7.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 2.573e-03, size: 544, ETA: 1:57:07
2025-11-12 12:06:02.352 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 278/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.163s, data_time: 0.085s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 2.568e-03, size: 384, ETA: 1:57:03
2025-11-12 12:06:03.868 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:06:03.915 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch279
2025-11-12 12:06:07.345 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 279/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.070s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 2.561e-03, size: 256, ETA: 1:56:59
2025-11-12 12:06:10.885 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 279/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.176s, data_time: 0.082s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.556e-03, size: 544, ETA: 1:56:55
2025-11-12 12:06:14.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 279/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.177s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 2.552e-03, size: 384, ETA: 1:56:52
2025-11-12 12:06:17.829 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 279/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.169s, data_time: 0.071s, total_loss: 7.5, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 2.547e-03, size: 416, ETA: 1:56:49
2025-11-12 12:06:21.439 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 279/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.180s, data_time: 0.081s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.542e-03, size: 352, ETA: 1:56:46
2025-11-12 12:06:24.855 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 279/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.537e-03, size: 416, ETA: 1:56:42
2025-11-12 12:06:26.318 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:06:26.347 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch280
2025-11-12 12:06:29.767 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 280/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.067s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.530e-03, size: 448, ETA: 1:56:37
2025-11-12 12:06:33.231 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 280/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.7Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 2.525e-03, size: 544, ETA: 1:56:34
2025-11-12 12:06:36.649 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 280/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 2.521e-03, size: 512, ETA: 1:56:31
2025-11-12 12:06:40.002 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 280/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 2.516e-03, size: 480, ETA: 1:56:27
2025-11-12 12:06:43.469 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 280/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.164s, data_time: 0.057s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 2.511e-03, size: 512, ETA: 1:56:24
2025-11-12 12:06:46.920 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 280/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.052s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 2.506e-03, size: 480, ETA: 1:56:20
2025-11-12 12:06:48.492 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:06:53.400 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:06:55.470 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:06:56.740 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5770
2025-11-12 12:06:57.000 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5479
2025-11-12 12:06:57.070 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3470
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4906
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.577
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.548
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.347
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.491
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:06:57.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:06:57.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:06:58.722 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:07:00.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:07:02.162 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:07:03.951 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:07:05.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:07:07.628 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:07:09.409 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:07:11.224 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:07:13.005 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:07:13.005 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.26
2025-11-12 12:07:13.006 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.49
2025-11-12 12:07:13.006 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:07:13.030 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.72 ms, Average inference time: 1.39 ms

2025-11-12 12:07:13.031 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:07:13.058 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:07:13.092 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch281
2025-11-12 12:07:16.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 281/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.153s, data_time: 0.039s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 2.499e-03, size: 512, ETA: 1:56:15
2025-11-12 12:07:19.527 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 281/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.495e-03, size: 448, ETA: 1:56:11
2025-11-12 12:07:23.017 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 281/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.055s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.490e-03, size: 416, ETA: 1:56:08
2025-11-12 12:07:26.571 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 281/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.160s, data_time: 0.056s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.485e-03, size: 544, ETA: 1:56:05
2025-11-12 12:07:30.058 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 281/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 2.480e-03, size: 480, ETA: 1:56:01
2025-11-12 12:07:33.389 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 281/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.160s, data_time: 0.069s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.475e-03, size: 288, ETA: 1:55:58
2025-11-12 12:07:35.094 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:07:35.133 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch282
2025-11-12 12:07:38.563 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 282/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 2.469e-03, size: 448, ETA: 1:55:53
2025-11-12 12:07:41.918 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 282/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.073s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.464e-03, size: 288, ETA: 1:55:49
2025-11-12 12:07:45.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 282/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.060s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 2.459e-03, size: 544, ETA: 1:55:46
2025-11-12 12:07:48.934 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 282/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.034s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.454e-03, size: 544, ETA: 1:55:43
2025-11-12 12:07:52.473 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 282/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.450e-03, size: 576, ETA: 1:55:39
2025-11-12 12:07:55.996 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 282/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.445e-03, size: 448, ETA: 1:55:36
2025-11-12 12:07:57.526 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:07:57.555 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch283
2025-11-12 12:08:00.974 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 283/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.438e-03, size: 544, ETA: 1:55:31
2025-11-12 12:08:04.375 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 283/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.048s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 2.433e-03, size: 320, ETA: 1:55:28
2025-11-12 12:08:07.922 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 283/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.061s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 2.429e-03, size: 512, ETA: 1:55:24
2025-11-12 12:08:11.278 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 283/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.048s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 2.424e-03, size: 352, ETA: 1:55:21
2025-11-12 12:08:14.760 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 283/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.082s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.419e-03, size: 288, ETA: 1:55:18
2025-11-12 12:08:18.151 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 283/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.061s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 2.414e-03, size: 416, ETA: 1:55:14
2025-11-12 12:08:19.740 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:08:19.769 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch284
2025-11-12 12:08:23.183 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 284/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.170s, data_time: 0.071s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 2.408e-03, size: 320, ETA: 1:55:09
2025-11-12 12:08:26.677 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 284/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.403e-03, size: 384, ETA: 1:55:06
2025-11-12 12:08:30.144 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 284/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.169s, data_time: 0.082s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.7, lr: 2.398e-03, size: 416, ETA: 1:55:03
2025-11-12 12:08:33.628 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 284/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.034s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 2.394e-03, size: 544, ETA: 1:54:59
2025-11-12 12:08:37.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 284/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.164s, data_time: 0.008s, total_loss: 5.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 2.389e-03, size: 288, ETA: 1:54:56
2025-11-12 12:08:40.492 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 284/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.050s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 2.384e-03, size: 288, ETA: 1:54:52
2025-11-12 12:08:41.961 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:08:41.995 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch285
2025-11-12 12:08:45.370 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 285/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.163s, data_time: 0.064s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.378e-03, size: 384, ETA: 1:54:47
2025-11-12 12:08:48.857 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 285/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.033s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.373e-03, size: 352, ETA: 1:54:44
2025-11-12 12:08:52.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 285/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.051s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.368e-03, size: 448, ETA: 1:54:40
2025-11-12 12:08:55.780 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 285/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.364e-03, size: 512, ETA: 1:54:37
2025-11-12 12:08:59.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 285/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.7Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.359e-03, size: 288, ETA: 1:54:33
2025-11-12 12:09:02.680 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 285/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.354e-03, size: 480, ETA: 1:54:30
2025-11-12 12:09:04.397 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:09:09.236 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:09:11.373 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:09:12.706 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6306
2025-11-12 12:09:12.987 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5591
2025-11-12 12:09:13.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3913
2025-11-12 12:09:13.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5270
2025-11-12 12:09:13.053 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.631
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.559
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.391
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.527
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:09:13.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:09:13.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:09:13.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:09:13.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:09:13.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:09:14.732 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:09:16.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:09:18.060 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:09:19.685 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:09:21.360 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:09:22.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:09:24.658 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:09:26.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:09:27.979 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:09:27.980 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:09:27.980 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:09:27.980 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:09:28.004 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.71 ms, Average inference time: 1.37 ms

2025-11-12 12:09:28.005 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:09:28.029 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:09:28.058 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch286
2025-11-12 12:09:31.173 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 286/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.155s, data_time: 0.055s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.348e-03, size: 288, ETA: 1:54:25
2025-11-12 12:09:34.576 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 286/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.343e-03, size: 352, ETA: 1:54:22
2025-11-12 12:09:38.076 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 286/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.053s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 2.338e-03, size: 544, ETA: 1:54:18
2025-11-12 12:09:41.436 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 286/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.062s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.334e-03, size: 288, ETA: 1:54:14
2025-11-12 12:09:44.914 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 286/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.164s, data_time: 0.034s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.329e-03, size: 320, ETA: 1:54:11
2025-11-12 12:09:48.335 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 286/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.161s, data_time: 0.053s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.324e-03, size: 256, ETA: 1:54:07
2025-11-12 12:09:49.856 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:09:49.902 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch287
2025-11-12 12:09:53.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 287/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.163s, data_time: 0.057s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.318e-03, size: 288, ETA: 1:54:02
2025-11-12 12:09:56.693 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 287/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 2.313e-03, size: 416, ETA: 1:53:59
2025-11-12 12:10:00.285 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 287/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.176s, data_time: 0.083s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.1, lr: 2.308e-03, size: 288, ETA: 1:53:56
2025-11-12 12:10:03.634 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 287/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.167s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.304e-03, size: 448, ETA: 1:53:52
2025-11-12 12:10:07.112 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 287/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.299e-03, size: 544, ETA: 1:53:49
2025-11-12 12:10:10.451 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 287/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.162s, data_time: 0.065s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.295e-03, size: 384, ETA: 1:53:46
2025-11-12 12:10:11.980 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:10:12.040 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch288
2025-11-12 12:10:15.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 288/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.168s, data_time: 0.045s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.288e-03, size: 384, ETA: 1:53:41
2025-11-12 12:10:18.966 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 288/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.158s, data_time: 0.068s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 2.283e-03, size: 448, ETA: 1:53:37
2025-11-12 12:10:22.486 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 288/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.073s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 2.279e-03, size: 256, ETA: 1:53:33
2025-11-12 12:10:25.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 288/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.078s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.274e-03, size: 352, ETA: 1:53:30
2025-11-12 12:10:29.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 288/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.270e-03, size: 320, ETA: 1:53:27
2025-11-12 12:10:32.775 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 288/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.168s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 2.265e-03, size: 448, ETA: 1:53:23
2025-11-12 12:10:34.279 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:10:34.310 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch289
2025-11-12 12:10:37.772 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 289/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.259e-03, size: 544, ETA: 1:53:19
2025-11-12 12:10:41.207 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 289/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.254e-03, size: 256, ETA: 1:53:15
2025-11-12 12:10:44.627 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 289/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.250e-03, size: 480, ETA: 1:53:12
2025-11-12 12:10:48.083 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 289/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.245e-03, size: 544, ETA: 1:53:09
2025-11-12 12:10:51.624 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 289/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.240e-03, size: 576, ETA: 1:53:05
2025-11-12 12:10:55.067 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 289/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 2.236e-03, size: 576, ETA: 1:53:02
2025-11-12 12:10:56.700 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:10:56.731 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch290
2025-11-12 12:11:00.088 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 290/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 2.229e-03, size: 384, ETA: 1:52:57
2025-11-12 12:11:03.641 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 290/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 2.225e-03, size: 448, ETA: 1:52:54
2025-11-12 12:11:07.256 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 290/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.179s, data_time: 0.079s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 2.220e-03, size: 352, ETA: 1:52:51
2025-11-12 12:11:10.721 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 290/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.060s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 2.216e-03, size: 256, ETA: 1:52:47
2025-11-12 12:11:14.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 290/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 2.211e-03, size: 480, ETA: 1:52:44
2025-11-12 12:11:17.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 290/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.165s, data_time: 0.029s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.207e-03, size: 352, ETA: 1:52:40
2025-11-12 12:11:19.059 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:11:23.870 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:11:28.561 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:11:31.099 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6034
2025-11-12 12:11:31.578 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5542
2025-11-12 12:11:31.653 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3653
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5076
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.603
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.554
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.365
2025-11-12 12:11:31.654 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.508
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:11:31.655 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:11:34.753 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:11:37.800 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:11:40.859 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:11:43.850 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:11:46.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:11:49.808 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:11:52.856 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:11:55.887 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:11:58.764 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:11:58.764 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:11:58.764 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.51
2025-11-12 12:11:58.764 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:11:58.789 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.72 ms, Average inference time: 1.35 ms

2025-11-12 12:11:58.790 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:11:58.812 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:11:58.842 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch291
2025-11-12 12:12:01.934 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 291/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.154s, data_time: 0.054s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 2.200e-03, size: 256, ETA: 1:52:35
2025-11-12 12:12:05.398 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 291/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.8Gb, iter_time: 0.172s, data_time: 0.072s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 2.196e-03, size: 416, ETA: 1:52:32
2025-11-12 12:12:08.801 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 291/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.191e-03, size: 384, ETA: 1:52:28
2025-11-12 12:12:12.228 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 291/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.187e-03, size: 544, ETA: 1:52:25
2025-11-12 12:12:15.648 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 291/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.169s, data_time: 0.063s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.182e-03, size: 512, ETA: 1:52:22
2025-11-12 12:12:19.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 291/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.168s, data_time: 0.060s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.178e-03, size: 384, ETA: 1:52:18
2025-11-12 12:12:20.584 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:12:20.734 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch292
2025-11-12 12:12:24.145 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 292/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.171e-03, size: 352, ETA: 1:52:13
2025-11-12 12:12:27.716 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 292/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.172s, data_time: 0.072s, total_loss: 7.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 2.167e-03, size: 544, ETA: 1:52:10
2025-11-12 12:12:31.178 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 292/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.164s, data_time: 0.011s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.163e-03, size: 416, ETA: 1:52:06
2025-11-12 12:12:34.707 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 292/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.166s, data_time: 0.024s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 2.158e-03, size: 512, ETA: 1:52:03
2025-11-12 12:12:38.125 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 292/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.161s, data_time: 0.004s, total_loss: 5.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 2.154e-03, size: 416, ETA: 1:51:59
2025-11-12 12:12:41.590 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 292/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.168s, data_time: 0.038s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.149e-03, size: 288, ETA: 1:51:56
2025-11-12 12:12:43.122 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:12:43.155 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch293
2025-11-12 12:12:46.637 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 293/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 2.143e-03, size: 416, ETA: 1:51:51
2025-11-12 12:12:50.099 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 293/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.138e-03, size: 416, ETA: 1:51:48
2025-11-12 12:12:53.627 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 293/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.165s, data_time: 0.070s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 2.134e-03, size: 320, ETA: 1:51:44
2025-11-12 12:12:57.107 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 293/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.161s, data_time: 0.065s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 2.130e-03, size: 320, ETA: 1:51:41
2025-11-12 12:13:00.657 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 293/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.5Gb, iter_time: 0.162s, data_time: 0.064s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.125e-03, size: 288, ETA: 1:51:37
2025-11-12 12:13:04.174 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 293/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.159s, data_time: 0.061s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 2.121e-03, size: 576, ETA: 1:51:34
2025-11-12 12:13:05.692 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:13:05.721 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch294
2025-11-12 12:13:09.217 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 294/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.173s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 2.114e-03, size: 512, ETA: 1:51:29
2025-11-12 12:13:12.584 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 294/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.110e-03, size: 256, ETA: 1:51:25
2025-11-12 12:13:16.043 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 294/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.106e-03, size: 416, ETA: 1:51:22
2025-11-12 12:13:19.493 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 294/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.101e-03, size: 320, ETA: 1:51:19
2025-11-12 12:13:22.914 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 294/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.158s, data_time: 0.041s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.6, lr: 2.097e-03, size: 512, ETA: 1:51:15
2025-11-12 12:13:26.337 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 294/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.159s, data_time: 0.050s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 2.092e-03, size: 384, ETA: 1:51:11
2025-11-12 12:13:27.820 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:13:27.854 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch295
2025-11-12 12:13:31.289 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 295/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.4Gb, iter_time: 0.163s, data_time: 0.085s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.086e-03, size: 384, ETA: 1:51:06
2025-11-12 12:13:34.809 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 295/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.171s, data_time: 0.083s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 2.082e-03, size: 352, ETA: 1:51:03
2025-11-12 12:13:38.383 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 295/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.077e-03, size: 480, ETA: 1:51:00
2025-11-12 12:13:41.911 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 295/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.174s, data_time: 0.082s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.073e-03, size: 288, ETA: 1:50:56
2025-11-12 12:13:45.385 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 295/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.173s, data_time: 0.070s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 2.069e-03, size: 288, ETA: 1:50:53
2025-11-12 12:13:48.743 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 295/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.162s, data_time: 0.076s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.064e-03, size: 544, ETA: 1:50:50
2025-11-12 12:13:50.435 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:13:55.160 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:13:56.950 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:13:58.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6142
2025-11-12 12:13:58.325 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5652
2025-11-12 12:13:58.389 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3704
2025-11-12 12:13:58.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5166
2025-11-12 12:13:58.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:13:58.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:13:58.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.614
2025-11-12 12:13:58.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.565
2025-11-12 12:13:58.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.370
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.517
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:13:58.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:13:58.392 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:13:59.876 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:14:01.282 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:14:02.677 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:14:04.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:14:05.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:14:06.940 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:14:08.334 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:14:09.749 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:14:11.220 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:14:11.221 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:14:11.221 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 12:14:11.221 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:14:11.234 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.73 ms, Average inference time: 1.36 ms

2025-11-12 12:14:11.236 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:14:11.261 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:14:11.292 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch296
2025-11-12 12:14:14.352 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 296/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.7Gb, iter_time: 0.147s, data_time: 0.041s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.058e-03, size: 352, ETA: 1:50:44
2025-11-12 12:14:17.768 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 296/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.7Gb, iter_time: 0.163s, data_time: 0.047s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 2.054e-03, size: 288, ETA: 1:50:41
2025-11-12 12:14:21.319 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 296/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.5Gb, iter_time: 0.177s, data_time: 0.088s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 2.049e-03, size: 512, ETA: 1:50:38
2025-11-12 12:14:24.821 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 296/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 2.045e-03, size: 320, ETA: 1:50:34
2025-11-12 12:14:28.198 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 296/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.073s, total_loss: 7.1, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 2.041e-03, size: 544, ETA: 1:50:31
2025-11-12 12:14:31.558 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 296/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.163s, data_time: 0.066s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 2.036e-03, size: 320, ETA: 1:50:27
2025-11-12 12:14:33.185 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:14:33.216 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch297
2025-11-12 12:14:36.658 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 297/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.160s, data_time: 0.062s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.030e-03, size: 544, ETA: 1:50:22
2025-11-12 12:14:40.152 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 297/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.174s, data_time: 0.071s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.026e-03, size: 384, ETA: 1:50:19
2025-11-12 12:14:43.713 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 297/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.176s, data_time: 0.078s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 2.021e-03, size: 544, ETA: 1:50:16
2025-11-12 12:14:47.013 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 297/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.161s, data_time: 0.064s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 2.017e-03, size: 576, ETA: 1:50:12
2025-11-12 12:14:50.406 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 297/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 2.013e-03, size: 416, ETA: 1:50:09
2025-11-12 12:14:53.856 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 297/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.172s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 2.009e-03, size: 384, ETA: 1:50:06
2025-11-12 12:14:55.555 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:14:55.583 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch298
2025-11-12 12:14:59.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 298/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 2.002e-03, size: 576, ETA: 1:50:01
2025-11-12 12:15:02.565 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 298/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.015s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 1.998e-03, size: 352, ETA: 1:49:57
2025-11-12 12:15:06.133 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 298/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.994e-03, size: 544, ETA: 1:49:54
2025-11-12 12:15:09.541 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 298/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.161s, data_time: 0.010s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.990e-03, size: 384, ETA: 1:49:50
2025-11-12 12:15:12.950 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 298/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.163s, data_time: 0.040s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 1.985e-03, size: 480, ETA: 1:49:47
2025-11-12 12:15:16.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 298/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 5.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 1.981e-03, size: 448, ETA: 1:49:44
2025-11-12 12:15:17.989 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:15:18.018 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch299
2025-11-12 12:15:21.467 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 299/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.975e-03, size: 512, ETA: 1:49:39
2025-11-12 12:15:24.925 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 299/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.971e-03, size: 256, ETA: 1:49:36
2025-11-12 12:15:28.293 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 299/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.078s, total_loss: 5.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 1.966e-03, size: 384, ETA: 1:49:32
2025-11-12 12:15:31.754 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 299/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.080s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.962e-03, size: 352, ETA: 1:49:29
2025-11-12 12:15:35.181 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 299/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.161s, data_time: 0.021s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.958e-03, size: 352, ETA: 1:49:25
2025-11-12 12:15:38.678 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 299/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.031s, total_loss: 4.9, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.6, lr: 1.954e-03, size: 416, ETA: 1:49:22
2025-11-12 12:15:40.181 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:15:40.367 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch300
2025-11-12 12:15:43.864 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 300/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.001s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 1.948e-03, size: 576, ETA: 1:49:17
2025-11-12 12:15:47.255 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 300/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.036s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 1.943e-03, size: 256, ETA: 1:49:14
2025-11-12 12:15:50.739 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 300/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.043s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.939e-03, size: 480, ETA: 1:49:10
2025-11-12 12:15:54.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 300/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.028s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.935e-03, size: 384, ETA: 1:49:07
2025-11-12 12:15:57.847 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 300/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.174s, data_time: 0.004s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.931e-03, size: 480, ETA: 1:49:03
2025-11-12 12:16:01.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 300/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.161s, data_time: 0.007s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.927e-03, size: 288, ETA: 1:49:00
2025-11-12 12:16:02.676 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:16:07.549 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:16:12.545 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:16:16.024 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.5951
2025-11-12 12:16:16.635 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5591
2025-11-12 12:16:16.700 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3471
2025-11-12 12:16:16.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5004
2025-11-12 12:16:16.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:16:16.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:16:16.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.595
2025-11-12 12:16:16.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.559
2025-11-12 12:16:16.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.347
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.500
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:16:16.702 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:16:16.703 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:16:20.868 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:16:25.068 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:16:29.244 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:16:33.423 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:16:37.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:16:41.882 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:16:46.037 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:16:50.244 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:16:54.400 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:16:54.401 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.27
2025-11-12 12:16:54.401 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.50
2025-11-12 12:16:54.401 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:16:54.426 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.73 ms, Average inference time: 1.34 ms

2025-11-12 12:16:54.429 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:16:54.451 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:16:54.481 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch301
2025-11-12 12:16:57.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 301/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.151s, data_time: 0.043s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.921e-03, size: 544, ETA: 1:48:54
2025-11-12 12:17:01.075 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 301/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.042s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.916e-03, size: 480, ETA: 1:48:51
2025-11-12 12:17:04.659 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 301/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.179s, data_time: 0.009s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.912e-03, size: 448, ETA: 1:48:48
2025-11-12 12:17:08.107 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 301/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.172s, data_time: 0.013s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.908e-03, size: 256, ETA: 1:48:45
2025-11-12 12:17:11.566 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 301/600, iter: 100/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.172s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.0, lr: 1.904e-03, size: 352, ETA: 1:48:41
2025-11-12 12:17:14.996 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 301/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.167s, data_time: 0.019s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 1.900e-03, size: 416, ETA: 1:48:38
2025-11-12 12:17:16.491 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:17:16.549 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch302
2025-11-12 12:17:19.986 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 302/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.894e-03, size: 448, ETA: 1:48:33
2025-11-12 12:17:23.476 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 302/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.1, lr: 1.890e-03, size: 288, ETA: 1:48:30
2025-11-12 12:17:27.023 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 302/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.176s, data_time: 0.082s, total_loss: 7.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.9, lr: 1.886e-03, size: 256, ETA: 1:48:27
2025-11-12 12:17:30.420 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 302/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.881e-03, size: 352, ETA: 1:48:23
2025-11-12 12:17:33.802 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 302/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.161s, data_time: 0.066s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.877e-03, size: 320, ETA: 1:48:20
2025-11-12 12:17:37.252 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 302/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.085s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 1.0, lr: 1.873e-03, size: 352, ETA: 1:48:16
2025-11-12 12:17:38.753 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:17:38.779 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch303
2025-11-12 12:17:42.239 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 303/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.169s, data_time: 0.080s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 1.867e-03, size: 256, ETA: 1:48:11
2025-11-12 12:17:45.853 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 303/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.179s, data_time: 0.082s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.863e-03, size: 448, ETA: 1:48:08
2025-11-12 12:17:49.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 303/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.859e-03, size: 320, ETA: 1:48:05
2025-11-12 12:17:52.515 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 303/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.060s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.855e-03, size: 416, ETA: 1:48:01
2025-11-12 12:17:55.901 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 303/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.054s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.851e-03, size: 320, ETA: 1:47:58
2025-11-12 12:17:59.392 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 303/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.065s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.847e-03, size: 416, ETA: 1:47:54
2025-11-12 12:18:01.011 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:18:01.051 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch304
2025-11-12 12:18:04.472 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 304/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.841e-03, size: 256, ETA: 1:47:50
2025-11-12 12:18:07.999 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 304/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.060s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.837e-03, size: 416, ETA: 1:47:46
2025-11-12 12:18:11.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 304/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.833e-03, size: 576, ETA: 1:47:43
2025-11-12 12:18:14.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 304/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.050s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 1.829e-03, size: 544, ETA: 1:47:39
2025-11-12 12:18:18.260 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 304/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.160s, data_time: 0.012s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.824e-03, size: 416, ETA: 1:47:36
2025-11-12 12:18:21.629 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 304/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.158s, data_time: 0.001s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.820e-03, size: 352, ETA: 1:47:32
2025-11-12 12:18:23.131 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:18:23.179 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch305
2025-11-12 12:18:26.579 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 305/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.168s, data_time: 0.010s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.815e-03, size: 544, ETA: 1:47:27
2025-11-12 12:18:30.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 305/600, iter: 40/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.162s, data_time: 0.025s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.811e-03, size: 544, ETA: 1:47:24
2025-11-12 12:18:33.433 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 305/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.166s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.806e-03, size: 480, ETA: 1:47:20
2025-11-12 12:18:36.972 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 305/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.176s, data_time: 0.079s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 1.802e-03, size: 448, ETA: 1:47:17
2025-11-12 12:18:40.388 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 305/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.798e-03, size: 352, ETA: 1:47:14
2025-11-12 12:18:43.795 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 305/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 1.794e-03, size: 512, ETA: 1:47:10
2025-11-12 12:18:45.384 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:18:50.210 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:18:52.151 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:18:53.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6127
2025-11-12 12:18:53.605 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5637
2025-11-12 12:18:53.706 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3580
2025-11-12 12:18:53.706 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5115
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.613
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.564
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.358
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.511
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:18:53.707 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:18:53.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:18:55.200 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:18:56.794 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:18:58.324 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:18:59.805 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:19:01.299 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:19:02.821 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:19:04.298 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:19:05.787 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:19:07.309 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:19:07.310 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:19:07.310 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.51
2025-11-12 12:19:07.310 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:19:07.332 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.67 ms, Average inference time: 1.30 ms

2025-11-12 12:19:07.334 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:19:07.356 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:19:07.385 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch306
2025-11-12 12:19:10.447 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 306/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.150s, data_time: 0.053s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.789e-03, size: 320, ETA: 1:47:05
2025-11-12 12:19:13.848 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 306/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.1, lr: 1.785e-03, size: 288, ETA: 1:47:02
2025-11-12 12:19:17.426 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 306/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.178s, data_time: 0.084s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.781e-03, size: 256, ETA: 1:46:58
2025-11-12 12:19:20.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 306/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 1.777e-03, size: 320, ETA: 1:46:55
2025-11-12 12:19:24.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 306/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.078s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.773e-03, size: 384, ETA: 1:46:52
2025-11-12 12:19:27.762 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 306/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.769e-03, size: 544, ETA: 1:46:48
2025-11-12 12:19:29.224 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:19:29.325 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch307
2025-11-12 12:19:32.747 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 307/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.163s, data_time: 0.065s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.763e-03, size: 576, ETA: 1:46:43
2025-11-12 12:19:36.283 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 307/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.176s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 1.759e-03, size: 256, ETA: 1:46:40
2025-11-12 12:19:39.733 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 307/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.755e-03, size: 416, ETA: 1:46:37
2025-11-12 12:19:43.083 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 307/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.061s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.751e-03, size: 576, ETA: 1:46:33
2025-11-12 12:19:46.525 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 307/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 1.747e-03, size: 288, ETA: 1:46:30
2025-11-12 12:19:50.248 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 307/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.184s, data_time: 0.094s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.743e-03, size: 512, ETA: 1:46:27
2025-11-12 12:19:51.796 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:19:51.826 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch308
2025-11-12 12:19:55.234 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 308/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.077s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.737e-03, size: 512, ETA: 1:46:22
2025-11-12 12:19:58.723 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 308/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.733e-03, size: 256, ETA: 1:46:19
2025-11-12 12:20:02.077 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 308/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.063s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.729e-03, size: 352, ETA: 1:46:15
2025-11-12 12:20:05.516 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 308/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.162s, data_time: 0.060s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.725e-03, size: 384, ETA: 1:46:12
2025-11-12 12:20:09.037 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 308/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 1.722e-03, size: 480, ETA: 1:46:08
2025-11-12 12:20:12.506 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 308/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.718e-03, size: 256, ETA: 1:46:05
2025-11-12 12:20:13.986 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:20:14.016 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch309
2025-11-12 12:20:17.621 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 309/600, iter: 20/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.179s, data_time: 0.077s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.712e-03, size: 512, ETA: 1:46:00
2025-11-12 12:20:21.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 309/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 1.708e-03, size: 288, ETA: 1:45:57
2025-11-12 12:20:24.672 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 309/600, iter: 60/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.173s, data_time: 0.070s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.704e-03, size: 256, ETA: 1:45:54
2025-11-12 12:20:28.146 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 309/600, iter: 80/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.171s, data_time: 0.007s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 1.700e-03, size: 448, ETA: 1:45:50
2025-11-12 12:20:31.571 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 309/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.016s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 1.696e-03, size: 544, ETA: 1:45:47
2025-11-12 12:20:35.121 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 309/600, iter: 120/129, gpu mem: 2795Mb, mem: 95.9Gb, iter_time: 0.175s, data_time: 0.073s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.692e-03, size: 320, ETA: 1:45:44
2025-11-12 12:20:36.673 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:20:36.713 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch310
2025-11-12 12:20:40.157 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 310/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 5.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 1.687e-03, size: 288, ETA: 1:45:39
2025-11-12 12:20:43.654 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 310/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.6Gb, iter_time: 0.174s, data_time: 0.059s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.683e-03, size: 448, ETA: 1:45:36
2025-11-12 12:20:47.117 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 310/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.8Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.1, lr: 1.679e-03, size: 384, ETA: 1:45:32
2025-11-12 12:20:50.580 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 310/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.172s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.675e-03, size: 576, ETA: 1:45:29
2025-11-12 12:20:54.107 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 310/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.671e-03, size: 448, ETA: 1:45:26
2025-11-12 12:20:57.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 310/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.067s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.668e-03, size: 416, ETA: 1:45:22
2025-11-12 12:20:58.921 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:21:03.822 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:21:06.150 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:21:07.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6203
2025-11-12 12:21:08.018 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5507
2025-11-12 12:21:08.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3576
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5095
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.620
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.551
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.358
2025-11-12 12:21:08.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.510
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:21:08.074 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:21:09.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:21:11.842 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:21:13.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:21:15.608 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:21:17.504 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:21:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:21:21.293 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:21:23.120 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:21:24.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:21:24.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.26
2025-11-12 12:21:24.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.51
2025-11-12 12:21:24.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:21:25.022 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.72 ms, Average inference time: 1.36 ms

2025-11-12 12:21:25.024 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:21:25.047 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:21:25.077 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch311
2025-11-12 12:21:28.143 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 311/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.152s, data_time: 0.052s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.662e-03, size: 256, ETA: 1:45:17
2025-11-12 12:21:31.572 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 311/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.071s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.658e-03, size: 576, ETA: 1:45:14
2025-11-12 12:21:35.170 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 311/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.178s, data_time: 0.081s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.654e-03, size: 256, ETA: 1:45:10
2025-11-12 12:21:38.752 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 311/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.177s, data_time: 0.075s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.650e-03, size: 576, ETA: 1:45:07
2025-11-12 12:21:42.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 311/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.065s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.647e-03, size: 512, ETA: 1:45:04
2025-11-12 12:21:45.780 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 311/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.2, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.643e-03, size: 352, ETA: 1:45:01
2025-11-12 12:21:47.380 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:21:47.410 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch312
2025-11-12 12:21:50.826 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 312/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.637e-03, size: 256, ETA: 1:44:56
2025-11-12 12:21:54.280 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 312/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.634e-03, size: 384, ETA: 1:44:52
2025-11-12 12:21:57.697 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 312/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.630e-03, size: 512, ETA: 1:44:49
2025-11-12 12:22:01.167 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 312/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.165s, data_time: 0.041s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.626e-03, size: 512, ETA: 1:44:45
2025-11-12 12:22:04.691 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 312/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.175s, data_time: 0.064s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.622e-03, size: 544, ETA: 1:44:42
2025-11-12 12:22:08.074 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 312/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.077s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.618e-03, size: 416, ETA: 1:44:39
2025-11-12 12:22:09.527 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:22:09.556 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch313
2025-11-12 12:22:12.964 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 313/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.079s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.613e-03, size: 544, ETA: 1:44:34
2025-11-12 12:22:16.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 313/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 1.609e-03, size: 320, ETA: 1:44:30
2025-11-12 12:22:19.857 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 313/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.605e-03, size: 512, ETA: 1:44:27
2025-11-12 12:22:23.348 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 313/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 1.602e-03, size: 576, ETA: 1:44:24
2025-11-12 12:22:26.820 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 313/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.067s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.598e-03, size: 352, ETA: 1:44:20
2025-11-12 12:22:30.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 313/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 1.594e-03, size: 256, ETA: 1:44:17
2025-11-12 12:22:31.838 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:22:31.868 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch314
2025-11-12 12:22:35.373 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 314/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.175s, data_time: 0.081s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.1, lr: 1.589e-03, size: 288, ETA: 1:44:12
2025-11-12 12:22:38.706 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 314/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.166s, data_time: 0.064s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.585e-03, size: 512, ETA: 1:44:09
2025-11-12 12:22:42.255 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 314/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.018s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 1.581e-03, size: 448, ETA: 1:44:06
2025-11-12 12:22:45.732 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 314/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.161s, data_time: 0.005s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.578e-03, size: 352, ETA: 1:44:02
2025-11-12 12:22:49.182 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 314/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.023s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 1.574e-03, size: 480, ETA: 1:43:59
2025-11-12 12:22:52.686 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 314/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.6Gb, iter_time: 0.164s, data_time: 0.021s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.1, lr: 1.570e-03, size: 448, ETA: 1:43:55
2025-11-12 12:22:54.128 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:22:54.165 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch315
2025-11-12 12:22:57.682 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 315/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.8Gb, iter_time: 0.174s, data_time: 0.006s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 1.565e-03, size: 512, ETA: 1:43:50
2025-11-12 12:23:01.175 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 315/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.9Gb, iter_time: 0.173s, data_time: 0.002s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 1.561e-03, size: 320, ETA: 1:43:47
2025-11-12 12:23:04.577 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 315/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.168s, data_time: 0.017s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.557e-03, size: 416, ETA: 1:43:44
2025-11-12 12:23:08.161 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 315/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.177s, data_time: 0.009s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.554e-03, size: 544, ETA: 1:43:40
2025-11-12 12:23:11.661 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 315/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.550e-03, size: 448, ETA: 1:43:37
2025-11-12 12:23:15.054 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 315/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.166s, data_time: 0.012s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 1.546e-03, size: 384, ETA: 1:43:34
2025-11-12 12:23:16.548 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:23:21.471 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:23:23.778 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:23:25.221 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6059
2025-11-12 12:23:25.576 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5606
2025-11-12 12:23:25.637 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3673
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5112
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.606
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.561
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.367
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.511
2025-11-12 12:23:25.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:23:25.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:23:27.493 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:23:29.307 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:23:31.101 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:23:32.892 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:23:34.703 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:23:36.499 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:23:38.327 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:23:40.077 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:23:41.879 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:23:41.880 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:23:41.880 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.51
2025-11-12 12:23:41.880 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:23:41.905 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.73 ms, Average inference time: 1.40 ms

2025-11-12 12:23:41.907 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:23:41.930 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:23:41.959 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch316
2025-11-12 12:23:45.075 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 316/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.153s, data_time: 0.058s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.541e-03, size: 512, ETA: 1:43:28
2025-11-12 12:23:48.435 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 316/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.162s, data_time: 0.061s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 1.537e-03, size: 576, ETA: 1:43:25
2025-11-12 12:23:51.947 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 316/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.156s, data_time: 0.043s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 1.534e-03, size: 256, ETA: 1:43:21
2025-11-12 12:23:55.480 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 316/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.162s, data_time: 0.021s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 1.530e-03, size: 384, ETA: 1:43:18
2025-11-12 12:23:58.895 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 316/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.163s, data_time: 0.024s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.526e-03, size: 352, ETA: 1:43:14
2025-11-12 12:24:02.310 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 316/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.062s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.523e-03, size: 384, ETA: 1:43:11
2025-11-12 12:24:03.821 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:24:03.850 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch317
2025-11-12 12:24:07.194 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 317/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.163s, data_time: 0.067s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.518e-03, size: 544, ETA: 1:43:06
2025-11-12 12:24:10.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 317/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.514e-03, size: 512, ETA: 1:43:02
2025-11-12 12:24:14.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 317/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.183s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.510e-03, size: 384, ETA: 1:42:59
2025-11-12 12:24:17.973 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 317/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.035s, total_loss: 6.3, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.507e-03, size: 352, ETA: 1:42:56
2025-11-12 12:24:21.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 317/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.158s, data_time: 0.031s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.503e-03, size: 512, ETA: 1:42:52
2025-11-12 12:24:24.996 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 317/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.153s, data_time: 0.051s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 1.500e-03, size: 544, ETA: 1:42:49
2025-11-12 12:24:26.480 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:24:26.509 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch318
2025-11-12 12:24:29.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 318/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 1.494e-03, size: 448, ETA: 1:42:44
2025-11-12 12:24:33.503 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 318/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 1.491e-03, size: 256, ETA: 1:42:41
2025-11-12 12:24:36.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 318/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.083s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.487e-03, size: 480, ETA: 1:42:37
2025-11-12 12:24:40.426 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 318/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.484e-03, size: 416, ETA: 1:42:34
2025-11-12 12:24:43.869 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 318/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.480e-03, size: 576, ETA: 1:42:30
2025-11-12 12:24:47.269 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 318/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 1.476e-03, size: 288, ETA: 1:42:27
2025-11-12 12:24:48.789 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:24:48.829 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch319
2025-11-12 12:24:52.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 319/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.067s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.471e-03, size: 320, ETA: 1:42:22
2025-11-12 12:24:55.761 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 319/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 1.468e-03, size: 416, ETA: 1:42:19
2025-11-12 12:24:59.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 319/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.464e-03, size: 576, ETA: 1:42:16
2025-11-12 12:25:02.558 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 319/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.461e-03, size: 416, ETA: 1:42:12
2025-11-12 12:25:06.085 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 319/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.176s, data_time: 0.072s, total_loss: 6.9, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 1.457e-03, size: 320, ETA: 1:42:09
2025-11-12 12:25:09.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 319/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 1.454e-03, size: 416, ETA: 1:42:06
2025-11-12 12:25:11.007 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:25:11.038 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch320
2025-11-12 12:25:14.483 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 320/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.449e-03, size: 576, ETA: 1:42:01
2025-11-12 12:25:17.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 320/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.073s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.445e-03, size: 448, ETA: 1:41:57
2025-11-12 12:25:21.360 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 320/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.054s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.442e-03, size: 288, ETA: 1:41:54
2025-11-12 12:25:24.888 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 320/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.067s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 1.438e-03, size: 448, ETA: 1:41:51
2025-11-12 12:25:28.252 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 320/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.435e-03, size: 384, ETA: 1:41:47
2025-11-12 12:25:31.750 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 320/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.431e-03, size: 288, ETA: 1:41:44
2025-11-12 12:25:33.245 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:25:38.074 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:25:42.101 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:25:45.014 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6095
2025-11-12 12:25:45.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5597
2025-11-12 12:25:45.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3173
2025-11-12 12:25:45.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.4955
2025-11-12 12:25:45.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:25:45.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.609
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.560
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.317
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.496
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:25:45.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:25:45.444 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:25:45.444 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:25:45.444 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:25:48.768 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:25:52.018 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:25:55.384 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:25:58.684 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:26:01.928 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:26:05.274 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:26:08.584 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:26:11.890 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:26:15.219 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:26:15.220 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.26
2025-11-12 12:26:15.220 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.50
2025-11-12 12:26:15.220 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:26:15.246 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.73 ms, Average inference time: 1.36 ms

2025-11-12 12:26:15.246 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:26:15.311 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:26:15.342 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch321
2025-11-12 12:26:18.312 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 321/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.148s, data_time: 0.057s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.426e-03, size: 320, ETA: 1:41:38
2025-11-12 12:26:21.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 321/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.052s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.423e-03, size: 256, ETA: 1:41:35
2025-11-12 12:26:25.177 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 321/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.066s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 1.419e-03, size: 416, ETA: 1:41:32
2025-11-12 12:26:28.620 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 321/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.416e-03, size: 448, ETA: 1:41:28
2025-11-12 12:26:32.231 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 321/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.180s, data_time: 0.079s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.412e-03, size: 512, ETA: 1:41:25
2025-11-12 12:26:35.634 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 321/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 1.409e-03, size: 448, ETA: 1:41:22
2025-11-12 12:26:37.090 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:26:37.119 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch322
2025-11-12 12:26:40.574 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 322/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.404e-03, size: 384, ETA: 1:41:17
2025-11-12 12:26:44.091 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 322/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.400e-03, size: 416, ETA: 1:41:13
2025-11-12 12:26:47.605 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 322/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.049s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.397e-03, size: 576, ETA: 1:41:10
2025-11-12 12:26:51.006 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 322/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.393e-03, size: 448, ETA: 1:41:07
2025-11-12 12:26:54.524 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 322/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.390e-03, size: 352, ETA: 1:41:03
2025-11-12 12:26:57.907 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 322/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.073s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.387e-03, size: 480, ETA: 1:41:00
2025-11-12 12:26:59.433 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:26:59.472 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch323
2025-11-12 12:27:02.843 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 323/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 5.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 1.382e-03, size: 256, ETA: 1:40:55
2025-11-12 12:27:06.336 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 323/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.056s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.378e-03, size: 256, ETA: 1:40:52
2025-11-12 12:27:09.796 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 323/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 1.375e-03, size: 384, ETA: 1:40:48
2025-11-12 12:27:13.333 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 323/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.023s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 1.372e-03, size: 448, ETA: 1:40:45
2025-11-12 12:27:16.801 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 323/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.005s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.368e-03, size: 320, ETA: 1:40:42
2025-11-12 12:27:20.168 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 323/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.036s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.365e-03, size: 384, ETA: 1:40:38
2025-11-12 12:27:21.655 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:27:21.784 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch324
2025-11-12 12:27:25.246 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 324/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.162s, data_time: 0.004s, total_loss: 7.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 1.360e-03, size: 288, ETA: 1:40:33
2025-11-12 12:27:28.693 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 324/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.004s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.357e-03, size: 448, ETA: 1:40:30
2025-11-12 12:27:32.078 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 324/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.163s, data_time: 0.028s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.353e-03, size: 384, ETA: 1:40:26
2025-11-12 12:27:35.525 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 324/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.029s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.350e-03, size: 576, ETA: 1:40:23
2025-11-12 12:27:38.981 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 324/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.015s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.346e-03, size: 320, ETA: 1:40:19
2025-11-12 12:27:42.395 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 324/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.019s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.343e-03, size: 256, ETA: 1:40:16
2025-11-12 12:27:43.903 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:27:43.936 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch325
2025-11-12 12:27:47.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 325/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.032s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.338e-03, size: 544, ETA: 1:40:11
2025-11-12 12:27:50.932 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 325/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.335e-03, size: 384, ETA: 1:40:08
2025-11-12 12:27:54.309 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 325/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.028s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.332e-03, size: 288, ETA: 1:40:04
2025-11-12 12:27:57.843 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 325/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.036s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 1.328e-03, size: 448, ETA: 1:40:01
2025-11-12 12:28:01.310 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 325/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.017s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.325e-03, size: 416, ETA: 1:39:58
2025-11-12 12:28:04.737 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 325/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.048s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.322e-03, size: 480, ETA: 1:39:54
2025-11-12 12:28:06.318 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:28:11.154 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:28:13.750 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:28:15.489 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6239
2025-11-12 12:28:15.765 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5500
2025-11-12 12:28:15.836 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3829
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5189
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.624
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.550
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.383
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.519
2025-11-12 12:28:15.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:28:15.838 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:28:17.901 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:28:19.951 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:28:21.996 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:28:24.031 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:28:26.065 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:28:28.096 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:28:30.120 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:28:32.145 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:28:34.249 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:28:34.249 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:28:34.249 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 12:28:34.249 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:28:34.274 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.70 ms, Average inference time: 1.33 ms

2025-11-12 12:28:34.275 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:28:34.299 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:28:34.328 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch326
2025-11-12 12:28:37.372 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 326/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.151s, data_time: 0.054s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.317e-03, size: 320, ETA: 1:39:49
2025-11-12 12:28:40.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 326/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 1.314e-03, size: 384, ETA: 1:39:46
2025-11-12 12:28:44.344 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 326/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.310e-03, size: 320, ETA: 1:39:43
2025-11-12 12:28:47.938 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 326/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.178s, data_time: 0.088s, total_loss: 7.0, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.307e-03, size: 352, ETA: 1:39:39
2025-11-12 12:28:51.356 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 326/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.304e-03, size: 448, ETA: 1:39:36
2025-11-12 12:28:54.732 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 326/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.070s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 1.301e-03, size: 544, ETA: 1:39:33
2025-11-12 12:28:56.134 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:28:56.163 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch327
2025-11-12 12:28:59.580 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 327/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.077s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 1.296e-03, size: 544, ETA: 1:39:28
2025-11-12 12:29:03.025 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 327/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.075s, total_loss: 5.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 1.293e-03, size: 256, ETA: 1:39:24
2025-11-12 12:29:06.513 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 327/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.034s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.289e-03, size: 416, ETA: 1:39:21
2025-11-12 12:29:09.948 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 327/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.043s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 1.286e-03, size: 448, ETA: 1:39:17
2025-11-12 12:29:13.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 327/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.062s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.283e-03, size: 576, ETA: 1:39:14
2025-11-12 12:29:16.744 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 327/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.063s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.280e-03, size: 480, ETA: 1:39:11
2025-11-12 12:29:18.217 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:29:18.338 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch328
2025-11-12 12:29:21.685 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 328/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.161s, data_time: 0.054s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.275e-03, size: 544, ETA: 1:39:05
2025-11-12 12:29:25.154 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 328/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.066s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.272e-03, size: 544, ETA: 1:39:02
2025-11-12 12:29:28.627 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 328/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.163s, data_time: 0.025s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.269e-03, size: 320, ETA: 1:38:58
2025-11-12 12:29:32.067 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 328/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.159s, data_time: 0.007s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 1.266e-03, size: 512, ETA: 1:38:55
2025-11-12 12:29:35.437 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 328/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.156s, data_time: 0.050s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.262e-03, size: 480, ETA: 1:38:51
2025-11-12 12:29:38.866 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 328/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.163s, data_time: 0.066s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.1, lr: 1.259e-03, size: 288, ETA: 1:38:48
2025-11-12 12:29:40.350 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:29:40.405 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch329
2025-11-12 12:29:43.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 329/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 1.255e-03, size: 416, ETA: 1:38:43
2025-11-12 12:29:47.401 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 329/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.077s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.6, lr: 1.251e-03, size: 384, ETA: 1:38:40
2025-11-12 12:29:50.972 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 329/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.082s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 1.248e-03, size: 416, ETA: 1:38:36
2025-11-12 12:29:54.453 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 329/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.245e-03, size: 512, ETA: 1:38:33
2025-11-12 12:29:57.874 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 329/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 6.1, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.242e-03, size: 256, ETA: 1:38:30
2025-11-12 12:30:01.326 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 329/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 1.239e-03, size: 352, ETA: 1:38:26
2025-11-12 12:30:02.968 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:30:02.998 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch330
2025-11-12 12:30:06.577 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 330/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.178s, data_time: 0.082s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.234e-03, size: 576, ETA: 1:38:21
2025-11-12 12:30:10.047 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 330/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.065s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 1.231e-03, size: 480, ETA: 1:38:18
2025-11-12 12:30:13.454 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 330/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 5.1, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 1.228e-03, size: 352, ETA: 1:38:15
2025-11-12 12:30:16.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 330/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.053s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 1.0, lr: 1.225e-03, size: 288, ETA: 1:38:11
2025-11-12 12:30:20.393 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 330/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.059s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.9, lr: 1.222e-03, size: 384, ETA: 1:38:08
2025-11-12 12:30:23.757 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 330/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.068s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.219e-03, size: 512, ETA: 1:38:05
2025-11-12 12:30:25.281 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:30:30.118 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:30:32.489 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:30:34.076 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6128
2025-11-12 12:30:34.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5759
2025-11-12 12:30:34.440 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3654
2025-11-12 12:30:34.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5180
2025-11-12 12:30:34.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:30:34.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:30:34.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.613
2025-11-12 12:30:34.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.576
2025-11-12 12:30:34.441 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.365
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.518
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:30:34.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:30:34.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:30:36.346 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:30:38.250 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:30:40.160 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:30:42.063 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:30:43.978 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:30:45.883 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:30:47.824 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:30:49.661 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:30:51.556 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:30:51.557 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.27
2025-11-12 12:30:51.557 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 12:30:51.557 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:30:51.581 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.73 ms, Average inference time: 1.36 ms

2025-11-12 12:30:51.582 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:30:51.604 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:30:51.650 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch331
2025-11-12 12:30:54.690 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 331/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.148s, data_time: 0.053s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.214e-03, size: 480, ETA: 1:37:59
2025-11-12 12:30:58.183 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 331/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.168s, data_time: 0.056s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 1.211e-03, size: 320, ETA: 1:37:56
2025-11-12 12:31:01.734 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 331/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.176s, data_time: 0.075s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 1.208e-03, size: 416, ETA: 1:37:53
2025-11-12 12:31:05.133 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 331/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.205e-03, size: 512, ETA: 1:37:49
2025-11-12 12:31:08.493 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 331/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.066s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.202e-03, size: 288, ETA: 1:37:46
2025-11-12 12:31:12.046 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 331/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.177s, data_time: 0.082s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 1.199e-03, size: 512, ETA: 1:37:43
2025-11-12 12:31:13.585 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:31:13.685 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch332
2025-11-12 12:31:16.981 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 332/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.070s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.194e-03, size: 384, ETA: 1:37:38
2025-11-12 12:31:20.463 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 332/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 1.191e-03, size: 384, ETA: 1:37:34
2025-11-12 12:31:23.891 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 332/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.164s, data_time: 0.060s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.188e-03, size: 416, ETA: 1:37:31
2025-11-12 12:31:27.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 332/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.065s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.185e-03, size: 416, ETA: 1:37:27
2025-11-12 12:31:30.752 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 332/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.157s, data_time: 0.037s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.182e-03, size: 320, ETA: 1:37:24
2025-11-12 12:31:34.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 332/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.033s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.179e-03, size: 544, ETA: 1:37:20
2025-11-12 12:31:35.634 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:31:35.781 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch333
2025-11-12 12:31:39.252 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 333/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.157s, data_time: 0.052s, total_loss: 5.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 1.175e-03, size: 416, ETA: 1:37:15
2025-11-12 12:31:42.751 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 333/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.153s, data_time: 0.022s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.172e-03, size: 512, ETA: 1:37:11
2025-11-12 12:31:46.262 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 333/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.154s, data_time: 0.031s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.169e-03, size: 448, ETA: 1:37:08
2025-11-12 12:31:49.661 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 333/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.154s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.166e-03, size: 512, ETA: 1:37:04
2025-11-12 12:31:53.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 333/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.154s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.163e-03, size: 544, ETA: 1:37:01
2025-11-12 12:31:56.513 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 333/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.146s, data_time: 0.003s, total_loss: 6.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 1.160e-03, size: 576, ETA: 1:36:57
2025-11-12 12:31:58.115 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:31:58.144 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch334
2025-11-12 12:32:01.605 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 334/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.077s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 1.156e-03, size: 448, ETA: 1:36:52
2025-11-12 12:32:04.996 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 334/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.070s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.153e-03, size: 416, ETA: 1:36:48
2025-11-12 12:32:08.469 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 334/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 1.150e-03, size: 320, ETA: 1:36:45
2025-11-12 12:32:11.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 334/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.071s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.147e-03, size: 544, ETA: 1:36:42
2025-11-12 12:32:15.321 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 334/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.144e-03, size: 384, ETA: 1:36:38
2025-11-12 12:32:18.818 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 334/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.141e-03, size: 448, ETA: 1:36:35
2025-11-12 12:32:20.365 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:32:20.396 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch335
2025-11-12 12:32:24.031 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 335/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.179s, data_time: 0.075s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 1.137e-03, size: 576, ETA: 1:36:30
2025-11-12 12:32:27.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 335/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.065s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 1.0, lr: 1.134e-03, size: 352, ETA: 1:36:27
2025-11-12 12:32:30.932 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 335/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 1.131e-03, size: 416, ETA: 1:36:24
2025-11-12 12:32:34.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 335/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.080s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.128e-03, size: 320, ETA: 1:36:20
2025-11-12 12:32:37.820 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 335/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.079s, total_loss: 6.9, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 1.125e-03, size: 576, ETA: 1:36:17
2025-11-12 12:32:41.421 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 335/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.175s, data_time: 0.073s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.122e-03, size: 448, ETA: 1:36:14
2025-11-12 12:32:42.926 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:32:47.770 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:32:49.937 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:32:51.330 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6221
2025-11-12 12:32:51.599 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5789
2025-11-12 12:32:51.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3761
2025-11-12 12:32:51.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5257
2025-11-12 12:32:51.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.622
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.579
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.376
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.526
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:32:51.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:32:51.668 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:32:51.668 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:32:51.668 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:32:51.668 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:32:53.434 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:32:55.201 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:32:56.931 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:32:58.689 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:33:00.411 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:33:02.153 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:33:03.896 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:33:05.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:33:07.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:33:07.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:33:07.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:33:07.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:33:07.361 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.72 ms, Average inference time: 1.33 ms

2025-11-12 12:33:07.361 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:33:07.385 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:33:07.414 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch336
2025-11-12 12:33:10.504 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 336/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.152s, data_time: 0.053s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 1.118e-03, size: 480, ETA: 1:36:08
2025-11-12 12:33:13.965 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 336/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 1.115e-03, size: 352, ETA: 1:36:05
2025-11-12 12:33:17.492 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 336/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.112e-03, size: 576, ETA: 1:36:02
2025-11-12 12:33:21.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 336/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.6, lr: 1.109e-03, size: 544, ETA: 1:35:58
2025-11-12 12:33:24.431 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 336/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.053s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.106e-03, size: 288, ETA: 1:35:55
2025-11-12 12:33:27.960 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 336/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.058s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 1.103e-03, size: 576, ETA: 1:35:52
2025-11-12 12:33:29.463 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:33:29.631 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch337
2025-11-12 12:33:32.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 337/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.145s, data_time: 0.009s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.099e-03, size: 416, ETA: 1:35:46
2025-11-12 12:33:36.465 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 337/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.155s, data_time: 0.054s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.096e-03, size: 384, ETA: 1:35:43
2025-11-12 12:33:40.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 337/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.156s, data_time: 0.059s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.094e-03, size: 320, ETA: 1:35:39
2025-11-12 12:33:43.447 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 337/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.154s, data_time: 0.058s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.091e-03, size: 544, ETA: 1:35:35
2025-11-12 12:33:46.790 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 337/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.153s, data_time: 0.055s, total_loss: 6.8, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.088e-03, size: 352, ETA: 1:35:32
2025-11-12 12:33:50.291 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 337/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.085e-03, size: 576, ETA: 1:35:28
2025-11-12 12:33:51.977 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:33:52.010 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch338
2025-11-12 12:33:55.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 338/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.074s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 1.081e-03, size: 320, ETA: 1:35:24
2025-11-12 12:33:58.880 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 338/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.067s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 1.1, lr: 1.078e-03, size: 384, ETA: 1:35:20
2025-11-12 12:34:02.513 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 338/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.007s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 1.075e-03, size: 288, ETA: 1:35:17
2025-11-12 12:34:05.947 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 338/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.073e-03, size: 480, ETA: 1:35:13
2025-11-12 12:34:09.212 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 338/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.158s, data_time: 0.017s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.070e-03, size: 320, ETA: 1:35:10
2025-11-12 12:34:12.773 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 338/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.177s, data_time: 0.080s, total_loss: 7.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 0.9, lr: 1.067e-03, size: 512, ETA: 1:35:07
2025-11-12 12:34:14.311 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:34:14.343 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch339
2025-11-12 12:34:17.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 339/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.063e-03, size: 288, ETA: 1:35:02
2025-11-12 12:34:21.346 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 339/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 1.060e-03, size: 416, ETA: 1:34:58
2025-11-12 12:34:24.840 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 339/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.072s, total_loss: 6.0, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.058e-03, size: 256, ETA: 1:34:55
2025-11-12 12:34:28.286 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 339/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.064s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.055e-03, size: 448, ETA: 1:34:52
2025-11-12 12:34:31.853 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 339/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.175s, data_time: 0.052s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 1.052e-03, size: 448, ETA: 1:34:48
2025-11-12 12:34:35.315 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 339/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.172s, data_time: 0.066s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.049e-03, size: 288, ETA: 1:34:45
2025-11-12 12:34:36.772 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:34:36.928 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch340
2025-11-12 12:34:40.355 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 340/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.161s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 1.045e-03, size: 384, ETA: 1:34:40
2025-11-12 12:34:43.871 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 340/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 1.043e-03, size: 512, ETA: 1:34:37
2025-11-12 12:34:47.310 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 340/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.027s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 1.040e-03, size: 256, ETA: 1:34:33
2025-11-12 12:34:50.809 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 340/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.046s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 1.037e-03, size: 384, ETA: 1:34:30
2025-11-12 12:34:54.294 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 340/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 7.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 1.035e-03, size: 288, ETA: 1:34:27
2025-11-12 12:34:57.765 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 340/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.063s, total_loss: 6.8, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.032e-03, size: 256, ETA: 1:34:23
2025-11-12 12:34:59.263 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:35:04.039 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:35:07.515 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:35:09.837 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6267
2025-11-12 12:35:10.237 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5823
2025-11-12 12:35:10.341 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3861
2025-11-12 12:35:10.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5317
2025-11-12 12:35:10.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.627
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.582
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.386
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.532
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:35:10.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:35:10.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:35:10.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:35:10.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:35:10.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:35:10.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:35:10.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:35:13.166 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:35:15.998 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:35:18.801 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:35:21.621 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:35:24.431 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:35:27.253 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:35:30.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:35:32.889 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:35:35.703 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:35:35.704 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 12:35:35.704 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:35:35.704 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:35:35.729 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.78 ms, Average inference time: 1.40 ms

2025-11-12 12:35:35.731 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:35:35.754 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:35:35.784 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch341
2025-11-12 12:35:38.776 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 341/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.147s, data_time: 0.053s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.028e-03, size: 352, ETA: 1:34:18
2025-11-12 12:35:42.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 341/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 7.0, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.025e-03, size: 480, ETA: 1:34:15
2025-11-12 12:35:45.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 341/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.175s, data_time: 0.084s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 1.023e-03, size: 352, ETA: 1:34:11
2025-11-12 12:35:49.168 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 341/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 1.020e-03, size: 448, ETA: 1:34:08
2025-11-12 12:35:52.541 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 341/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.071s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 1.017e-03, size: 256, ETA: 1:34:05
2025-11-12 12:35:55.935 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 341/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.073s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.015e-03, size: 352, ETA: 1:34:01
2025-11-12 12:35:57.544 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:35:57.575 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch342
2025-11-12 12:36:01.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 342/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.161s, data_time: 0.039s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 1.011e-03, size: 288, ETA: 1:33:56
2025-11-12 12:36:04.638 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 342/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.163s, data_time: 0.004s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 1.008e-03, size: 576, ETA: 1:33:53
2025-11-12 12:36:08.046 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 342/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.156s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.006e-03, size: 416, ETA: 1:33:49
2025-11-12 12:36:11.505 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 342/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.156s, data_time: 0.005s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 1.003e-03, size: 544, ETA: 1:33:46
2025-11-12 12:36:14.893 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 342/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.159s, data_time: 0.048s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 1.000e-03, size: 352, ETA: 1:33:42
2025-11-12 12:36:18.400 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 342/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.175s, data_time: 0.078s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 9.977e-04, size: 416, ETA: 1:33:39
2025-11-12 12:36:20.024 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:36:20.056 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch343
2025-11-12 12:36:23.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 343/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.069s, total_loss: 6.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 9.939e-04, size: 512, ETA: 1:33:34
2025-11-12 12:36:26.919 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 343/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 9.913e-04, size: 384, ETA: 1:33:31
2025-11-12 12:36:30.345 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 343/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.887e-04, size: 256, ETA: 1:33:27
2025-11-12 12:36:33.838 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 343/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 9.861e-04, size: 448, ETA: 1:33:24
2025-11-12 12:36:37.234 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 343/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 9.835e-04, size: 576, ETA: 1:33:21
2025-11-12 12:36:40.700 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 343/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.081s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 9.810e-04, size: 320, ETA: 1:33:17
2025-11-12 12:36:42.267 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:36:42.294 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch344
2025-11-12 12:36:45.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 344/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.174s, data_time: 0.078s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 9.772e-04, size: 256, ETA: 1:33:12
2025-11-12 12:36:49.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 344/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.064s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 9.747e-04, size: 288, ETA: 1:33:09
2025-11-12 12:36:52.660 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 344/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.157s, data_time: 0.058s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 9.721e-04, size: 352, ETA: 1:33:05
2025-11-12 12:36:56.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 344/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.160s, data_time: 0.058s, total_loss: 6.7, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.696e-04, size: 288, ETA: 1:33:02
2025-11-12 12:36:59.431 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 344/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.162s, data_time: 0.069s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.671e-04, size: 256, ETA: 1:32:58
2025-11-12 12:37:02.881 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 344/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.155s, data_time: 0.064s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 9.645e-04, size: 288, ETA: 1:32:55
2025-11-12 12:37:04.283 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:37:04.447 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch345
2025-11-12 12:37:07.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 345/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.154s, data_time: 0.065s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 9.609e-04, size: 416, ETA: 1:32:50
2025-11-12 12:37:11.233 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 345/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.160s, data_time: 0.063s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 9.584e-04, size: 320, ETA: 1:32:46
2025-11-12 12:37:14.630 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 345/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.066s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 9.559e-04, size: 320, ETA: 1:32:43
2025-11-12 12:37:18.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 345/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.173s, data_time: 0.065s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 9.534e-04, size: 288, ETA: 1:32:39
2025-11-12 12:37:21.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 345/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.038s, total_loss: 4.8, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 9.509e-04, size: 480, ETA: 1:32:36
2025-11-12 12:37:25.198 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 345/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.0Gb, iter_time: 0.174s, data_time: 0.066s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.6, lr: 9.484e-04, size: 384, ETA: 1:32:33
2025-11-12 12:37:26.813 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:37:31.647 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:37:34.458 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:37:36.364 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6356
2025-11-12 12:37:36.665 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5730
2025-11-12 12:37:36.739 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3690
2025-11-12 12:37:36.740 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5258
2025-11-12 12:37:36.740 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.636
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.573
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.369
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.526
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:37:36.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:37:36.742 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:37:36.742 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:37:36.742 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:37:36.742 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:37:39.108 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:37:41.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:37:43.652 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:37:45.958 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:37:48.272 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:37:50.534 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:37:52.779 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:37:55.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:37:57.358 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:37:57.358 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 12:37:57.359 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:37:57.359 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:37:57.383 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.72 ms, Average inference time: 1.33 ms

2025-11-12 12:37:57.385 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:37:57.408 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:37:57.438 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch346
2025-11-12 12:38:00.512 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 346/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.152s, data_time: 0.051s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 9.448e-04, size: 576, ETA: 1:32:28
2025-11-12 12:38:03.968 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 346/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.048s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 9.423e-04, size: 512, ETA: 1:32:24
2025-11-12 12:38:07.513 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 346/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.164s, data_time: 0.028s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 9.398e-04, size: 384, ETA: 1:32:21
2025-11-12 12:38:10.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 346/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.153s, data_time: 0.012s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.374e-04, size: 320, ETA: 1:32:17
2025-11-12 12:38:14.348 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 346/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.155s, data_time: 0.044s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.7, lr: 9.349e-04, size: 544, ETA: 1:32:14
2025-11-12 12:38:17.918 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 346/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 9.325e-04, size: 256, ETA: 1:32:10
2025-11-12 12:38:19.480 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:38:19.541 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch347
2025-11-12 12:38:23.069 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 347/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.070s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 9.290e-04, size: 320, ETA: 1:32:05
2025-11-12 12:38:26.601 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 347/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.174s, data_time: 0.016s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.265e-04, size: 448, ETA: 1:32:02
2025-11-12 12:38:30.123 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 347/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.043s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 9.241e-04, size: 544, ETA: 1:31:59
2025-11-12 12:38:33.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 347/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.174s, data_time: 0.018s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 9.217e-04, size: 576, ETA: 1:31:55
2025-11-12 12:38:37.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 347/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.193e-04, size: 544, ETA: 1:31:52
2025-11-12 12:38:40.490 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 347/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.058s, total_loss: 5.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 9.169e-04, size: 288, ETA: 1:31:49
2025-11-12 12:38:42.137 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:38:42.181 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch348
2025-11-12 12:38:45.656 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 348/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 9.134e-04, size: 480, ETA: 1:31:44
2025-11-12 12:38:49.091 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 348/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.163s, data_time: 0.051s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 9.110e-04, size: 576, ETA: 1:31:40
2025-11-12 12:38:52.480 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 348/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.053s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 9.086e-04, size: 320, ETA: 1:31:37
2025-11-12 12:38:55.916 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 348/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.034s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 9.063e-04, size: 576, ETA: 1:31:34
2025-11-12 12:38:59.396 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 348/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.016s, total_loss: 5.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 9.039e-04, size: 480, ETA: 1:31:30
2025-11-12 12:39:02.775 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 348/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.160s, data_time: 0.042s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 9.015e-04, size: 352, ETA: 1:31:27
2025-11-12 12:39:04.251 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:39:04.296 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch349
2025-11-12 12:39:07.705 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 349/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.168s, data_time: 0.046s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 8.981e-04, size: 480, ETA: 1:31:22
2025-11-12 12:39:11.130 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 349/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.958e-04, size: 576, ETA: 1:31:18
2025-11-12 12:39:14.561 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 349/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.076s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 8.934e-04, size: 256, ETA: 1:31:15
2025-11-12 12:39:17.977 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 349/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.911e-04, size: 288, ETA: 1:31:12
2025-11-12 12:39:21.436 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 349/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 8.888e-04, size: 288, ETA: 1:31:08
2025-11-12 12:39:24.811 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 349/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.167s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 8.865e-04, size: 320, ETA: 1:31:05
2025-11-12 12:39:26.413 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:39:26.437 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch350
2025-11-12 12:39:29.857 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 350/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.073s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.831e-04, size: 512, ETA: 1:31:00
2025-11-12 12:39:33.327 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 350/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.069s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 8.808e-04, size: 544, ETA: 1:30:57
2025-11-12 12:39:36.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 350/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.785e-04, size: 384, ETA: 1:30:53
2025-11-12 12:39:40.234 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 350/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 8.762e-04, size: 416, ETA: 1:30:50
2025-11-12 12:39:43.660 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 350/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 8.740e-04, size: 480, ETA: 1:30:47
2025-11-12 12:39:47.065 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 350/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 5.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 8.717e-04, size: 256, ETA: 1:30:43
2025-11-12 12:39:48.609 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:39:53.468 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:39:57.191 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:39:59.700 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6193
2025-11-12 12:40:00.139 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5810
2025-11-12 12:40:00.234 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3926
2025-11-12 12:40:00.235 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5310
2025-11-12 12:40:00.235 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:40:00.235 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:40:00.235 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.619
2025-11-12 12:40:00.235 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.581
2025-11-12 12:40:00.235 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.393
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.531
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:40:00.236 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:40:00.237 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:40:03.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:40:06.282 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:40:09.276 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:40:12.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:40:15.721 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:40:19.106 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:40:22.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:40:25.864 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:40:29.275 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:40:29.276 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:40:29.276 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:40:29.276 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:40:29.301 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.71 ms, Average inference time: 1.35 ms

2025-11-12 12:40:29.302 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:40:29.331 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:40:29.385 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch351
2025-11-12 12:40:32.405 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 351/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.150s, data_time: 0.058s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 8.684e-04, size: 256, ETA: 1:30:38
2025-11-12 12:40:35.961 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 351/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.661e-04, size: 480, ETA: 1:30:35
2025-11-12 12:40:39.555 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 351/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.175s, data_time: 0.047s, total_loss: 7.1, iou_loss: 3.1, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 8.639e-04, size: 288, ETA: 1:30:32
2025-11-12 12:40:43.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 351/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.038s, total_loss: 5.1, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 8.616e-04, size: 320, ETA: 1:30:28
2025-11-12 12:40:46.458 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 351/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.013s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.6, lr: 8.594e-04, size: 448, ETA: 1:30:25
2025-11-12 12:40:49.847 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 351/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 8.572e-04, size: 480, ETA: 1:30:21
2025-11-12 12:40:51.475 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:40:51.510 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch352
2025-11-12 12:40:54.864 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 352/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.074s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 1.0, lr: 8.539e-04, size: 352, ETA: 1:30:17
2025-11-12 12:40:58.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 352/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 8.517e-04, size: 448, ETA: 1:30:13
2025-11-12 12:41:01.671 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 352/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.156s, data_time: 0.055s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 8.495e-04, size: 384, ETA: 1:30:10
2025-11-12 12:41:05.134 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 352/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 8.473e-04, size: 416, ETA: 1:30:06
2025-11-12 12:41:08.613 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 352/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 8.451e-04, size: 352, ETA: 1:30:03
2025-11-12 12:41:12.034 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 352/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 8.429e-04, size: 256, ETA: 1:30:00
2025-11-12 12:41:13.712 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:41:13.741 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch353
2025-11-12 12:41:17.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 353/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.070s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 8.398e-04, size: 256, ETA: 1:29:55
2025-11-12 12:41:20.540 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 353/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.376e-04, size: 576, ETA: 1:29:51
2025-11-12 12:41:24.048 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 353/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 8.354e-04, size: 512, ETA: 1:29:48
2025-11-12 12:41:27.497 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 353/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 8.333e-04, size: 320, ETA: 1:29:45
2025-11-12 12:41:30.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 353/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 1.0, lr: 8.311e-04, size: 544, ETA: 1:29:42
2025-11-12 12:41:34.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 353/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 8.290e-04, size: 352, ETA: 1:29:38
2025-11-12 12:41:35.934 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:41:36.066 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch354
2025-11-12 12:41:39.601 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 354/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.166s, data_time: 0.060s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.259e-04, size: 256, ETA: 1:29:33
2025-11-12 12:41:43.071 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 354/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.164s, data_time: 0.027s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 8.238e-04, size: 320, ETA: 1:29:30
2025-11-12 12:41:46.533 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 354/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.165s, data_time: 0.042s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 8.216e-04, size: 576, ETA: 1:29:26
2025-11-12 12:41:50.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 354/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.011s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 8.195e-04, size: 416, ETA: 1:29:23
2025-11-12 12:41:53.340 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 354/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.154s, data_time: 0.042s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 8.174e-04, size: 288, ETA: 1:29:19
2025-11-12 12:41:56.793 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 354/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.170s, data_time: 0.056s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 8.153e-04, size: 512, ETA: 1:29:16
2025-11-12 12:41:58.336 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:41:58.364 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch355
2025-11-12 12:42:01.870 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 355/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 8.123e-04, size: 320, ETA: 1:29:11
2025-11-12 12:42:05.335 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 355/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 8.102e-04, size: 448, ETA: 1:29:08
2025-11-12 12:42:08.726 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 355/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.067s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 8.081e-04, size: 384, ETA: 1:29:05
2025-11-12 12:42:12.301 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 355/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.176s, data_time: 0.015s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 8.060e-04, size: 448, ETA: 1:29:01
2025-11-12 12:42:15.750 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 355/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.061s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 8.040e-04, size: 512, ETA: 1:28:58
2025-11-12 12:42:19.291 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 355/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.176s, data_time: 0.081s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 8.019e-04, size: 320, ETA: 1:28:55
2025-11-12 12:42:20.919 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:42:25.801 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:42:29.371 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:42:31.825 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6174
2025-11-12 12:42:32.275 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5686
2025-11-12 12:42:32.347 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3803
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5221
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.617
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.569
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.380
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.522
2025-11-12 12:42:32.348 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:42:32.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:42:35.262 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:42:38.203 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:42:41.137 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:42:44.042 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:42:46.922 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:42:49.848 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:42:52.682 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:42:55.507 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:42:58.335 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:42:58.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 12:42:58.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 12:42:58.336 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:42:58.361 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.70 ms, Average inference time: 1.33 ms

2025-11-12 12:42:58.362 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:42:58.384 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:42:58.413 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch356
2025-11-12 12:43:01.447 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 356/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.151s, data_time: 0.055s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 7.989e-04, size: 288, ETA: 1:28:50
2025-11-12 12:43:04.897 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 356/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 7.969e-04, size: 320, ETA: 1:28:46
2025-11-12 12:43:08.316 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 356/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.164s, data_time: 0.070s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.949e-04, size: 512, ETA: 1:28:43
2025-11-12 12:43:11.807 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 356/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.163s, data_time: 0.060s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.928e-04, size: 416, ETA: 1:28:39
2025-11-12 12:43:15.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 356/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.155s, data_time: 0.027s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.908e-04, size: 576, ETA: 1:28:36
2025-11-12 12:43:18.564 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 356/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.154s, data_time: 0.034s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 7.888e-04, size: 544, ETA: 1:28:32
2025-11-12 12:43:20.129 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:43:20.171 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch357
2025-11-12 12:43:23.611 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 357/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.067s, total_loss: 5.1, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 7.859e-04, size: 544, ETA: 1:28:27
2025-11-12 12:43:27.006 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 357/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 7.839e-04, size: 416, ETA: 1:28:24
2025-11-12 12:43:30.455 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 357/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.058s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.819e-04, size: 576, ETA: 1:28:21
2025-11-12 12:43:33.912 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 357/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.044s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 7.799e-04, size: 512, ETA: 1:28:17
2025-11-12 12:43:37.453 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 357/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.165s, data_time: 0.017s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.779e-04, size: 448, ETA: 1:28:14
2025-11-12 12:43:40.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 357/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.157s, data_time: 0.053s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.760e-04, size: 480, ETA: 1:28:10
2025-11-12 12:43:42.433 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:43:42.465 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch358
2025-11-12 12:43:45.888 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 358/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.055s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.731e-04, size: 256, ETA: 1:28:05
2025-11-12 12:43:49.467 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 358/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.034s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 7.712e-04, size: 512, ETA: 1:28:02
2025-11-12 12:43:52.851 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 358/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.160s, data_time: 0.013s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.692e-04, size: 256, ETA: 1:27:58
2025-11-12 12:43:56.367 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 358/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.068s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 7.673e-04, size: 288, ETA: 1:27:55
2025-11-12 12:43:59.757 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 358/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.653e-04, size: 320, ETA: 1:27:52
2025-11-12 12:44:03.185 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 358/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 5.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 1.9, cls_loss: 0.9, lr: 7.634e-04, size: 256, ETA: 1:27:48
2025-11-12 12:44:04.661 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:44:04.734 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch359
2025-11-12 12:44:08.127 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 359/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.079s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 7.606e-04, size: 544, ETA: 1:27:43
2025-11-12 12:44:11.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 359/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.082s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 7.587e-04, size: 512, ETA: 1:27:40
2025-11-12 12:44:15.034 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 359/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.075s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 7.568e-04, size: 480, ETA: 1:27:37
2025-11-12 12:44:18.420 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 359/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.069s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 7.549e-04, size: 448, ETA: 1:27:33
2025-11-12 12:44:21.973 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 359/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.176s, data_time: 0.077s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 1.0, lr: 7.530e-04, size: 320, ETA: 1:27:30
2025-11-12 12:44:25.421 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 359/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.512e-04, size: 256, ETA: 1:27:27
2025-11-12 12:44:27.015 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:44:27.047 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch360
2025-11-12 12:44:30.463 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 360/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.067s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 7.484e-04, size: 544, ETA: 1:27:22
2025-11-12 12:44:33.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 360/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.163s, data_time: 0.065s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 7.466e-04, size: 576, ETA: 1:27:18
2025-11-12 12:44:37.305 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 360/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.166s, data_time: 0.054s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 7.447e-04, size: 416, ETA: 1:27:15
2025-11-12 12:44:40.707 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 360/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.158s, data_time: 0.047s, total_loss: 5.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 7.429e-04, size: 352, ETA: 1:27:11
2025-11-12 12:44:44.138 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 360/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.154s, data_time: 0.060s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.410e-04, size: 416, ETA: 1:27:08
2025-11-12 12:44:47.627 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 360/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 7.392e-04, size: 544, ETA: 1:27:04
2025-11-12 12:44:49.155 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:44:54.393 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:44:56.747 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:44:57.823 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6145
2025-11-12 12:44:58.023 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5632
2025-11-12 12:44:58.081 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3891
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5223
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.615
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.563
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.389
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.522
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:44:58.082 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:44:58.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:44:59.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:45:00.790 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:45:02.118 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:45:03.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:45:04.756 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:45:06.059 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:45:07.407 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:45:08.769 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:45:10.095 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:45:10.095 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:45:10.096 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 12:45:10.096 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:45:10.104 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.59 ms, Average NMS time: 0.74 ms, Average inference time: 1.33 ms

2025-11-12 12:45:10.106 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:45:10.128 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:45:10.157 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch361
2025-11-12 12:45:13.310 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 361/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.1Gb, iter_time: 0.157s, data_time: 0.057s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.365e-04, size: 448, ETA: 1:26:59
2025-11-12 12:45:16.689 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 361/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.058s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 7.347e-04, size: 288, ETA: 1:26:56
2025-11-12 12:45:20.127 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 361/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.039s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 7.329e-04, size: 352, ETA: 1:26:53
2025-11-12 12:45:23.739 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 361/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.179s, data_time: 0.006s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 7.311e-04, size: 288, ETA: 1:26:49
2025-11-12 12:45:27.190 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 361/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.005s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.293e-04, size: 320, ETA: 1:26:46
2025-11-12 12:45:30.556 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 361/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.005s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 7.275e-04, size: 384, ETA: 1:26:43
2025-11-12 12:45:32.133 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:45:32.162 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch362
2025-11-12 12:45:35.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 362/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.087s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 1.0, lr: 7.249e-04, size: 416, ETA: 1:26:38
2025-11-12 12:45:39.102 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 362/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.064s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 7.231e-04, size: 576, ETA: 1:26:34
2025-11-12 12:45:42.528 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 362/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.055s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.8, lr: 7.213e-04, size: 480, ETA: 1:26:31
2025-11-12 12:45:45.958 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 362/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.044s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 7.196e-04, size: 288, ETA: 1:26:28
2025-11-12 12:45:49.397 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 362/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.066s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 7.178e-04, size: 512, ETA: 1:26:24
2025-11-12 12:45:52.805 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 362/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.065s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.161e-04, size: 320, ETA: 1:26:21
2025-11-12 12:45:54.239 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:45:54.268 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch363
2025-11-12 12:45:57.740 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 363/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 7.136e-04, size: 544, ETA: 1:26:16
2025-11-12 12:46:01.219 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 363/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.051s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.118e-04, size: 256, ETA: 1:26:13
2025-11-12 12:46:04.705 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 363/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.054s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 7.101e-04, size: 576, ETA: 1:26:09
2025-11-12 12:46:08.135 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 363/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.040s, total_loss: 5.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.7, lr: 7.084e-04, size: 384, ETA: 1:26:06
2025-11-12 12:46:11.565 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 363/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.004s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.7, lr: 7.067e-04, size: 512, ETA: 1:26:03
2025-11-12 12:46:15.130 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 363/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.177s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 7.050e-04, size: 256, ETA: 1:25:59
2025-11-12 12:46:16.635 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:46:16.798 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch364
2025-11-12 12:46:20.204 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 364/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.163s, data_time: 0.007s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 7.025e-04, size: 480, ETA: 1:25:54
2025-11-12 12:46:23.716 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 364/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.023s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 7.008e-04, size: 256, ETA: 1:25:51
2025-11-12 12:46:27.180 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 364/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.163s, data_time: 0.012s, total_loss: 5.9, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 6.991e-04, size: 288, ETA: 1:25:47
2025-11-12 12:46:30.581 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 364/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.163s, data_time: 0.055s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 6.975e-04, size: 448, ETA: 1:25:44
2025-11-12 12:46:34.061 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 364/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.061s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.958e-04, size: 384, ETA: 1:25:41
2025-11-12 12:46:37.529 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 364/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 6.941e-04, size: 352, ETA: 1:25:37
2025-11-12 12:46:39.073 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:46:39.103 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch365
2025-11-12 12:46:42.453 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 365/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 1.0, lr: 6.917e-04, size: 256, ETA: 1:25:32
2025-11-12 12:46:45.849 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 365/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.068s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.901e-04, size: 352, ETA: 1:25:29
2025-11-12 12:46:49.304 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 365/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.021s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 6.884e-04, size: 288, ETA: 1:25:26
2025-11-12 12:46:52.705 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 365/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.868e-04, size: 384, ETA: 1:25:22
2025-11-12 12:46:56.143 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 365/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.053s, total_loss: 6.4, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.852e-04, size: 384, ETA: 1:25:19
2025-11-12 12:46:59.594 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 365/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.836e-04, size: 544, ETA: 1:25:16
2025-11-12 12:47:01.160 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:47:06.012 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:47:08.765 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:47:10.589 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6305
2025-11-12 12:47:10.930 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5713
2025-11-12 12:47:10.991 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3358
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5125
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.631
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.571
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.336
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.513
2025-11-12 12:47:10.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:47:10.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:47:13.249 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:47:15.456 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:47:17.673 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:47:19.862 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:47:22.057 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:47:24.247 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:47:26.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:47:28.630 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:47:30.802 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:47:30.802 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:47:30.802 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.51
2025-11-12 12:47:30.802 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:47:30.827 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.70 ms, Average inference time: 1.33 ms

2025-11-12 12:47:30.829 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:47:30.851 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:47:30.880 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch366
2025-11-12 12:47:33.967 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 366/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.153s, data_time: 0.057s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 6.812e-04, size: 352, ETA: 1:25:10
2025-11-12 12:47:37.471 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 366/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 6.796e-04, size: 416, ETA: 1:25:07
2025-11-12 12:47:41.019 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 366/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 6.781e-04, size: 480, ETA: 1:25:04
2025-11-12 12:47:44.506 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 366/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.765e-04, size: 352, ETA: 1:25:00
2025-11-12 12:47:47.982 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 366/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.749e-04, size: 544, ETA: 1:24:57
2025-11-12 12:47:51.641 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 366/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.181s, data_time: 0.081s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.9, lr: 6.733e-04, size: 288, ETA: 1:24:54
2025-11-12 12:47:53.179 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:47:53.210 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch367
2025-11-12 12:47:56.738 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 367/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.077s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 6.711e-04, size: 288, ETA: 1:24:49
2025-11-12 12:48:00.109 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 367/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.166s, data_time: 0.074s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 6.695e-04, size: 544, ETA: 1:24:46
2025-11-12 12:48:03.549 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 367/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.680e-04, size: 448, ETA: 1:24:42
2025-11-12 12:48:07.178 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 367/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.181s, data_time: 0.082s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.664e-04, size: 480, ETA: 1:24:39
2025-11-12 12:48:10.726 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 367/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.649e-04, size: 512, ETA: 1:24:36
2025-11-12 12:48:14.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 367/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.071s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 6.634e-04, size: 288, ETA: 1:24:32
2025-11-12 12:48:15.855 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:48:15.896 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch368
2025-11-12 12:48:19.258 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 368/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.163s, data_time: 0.071s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 6.612e-04, size: 384, ETA: 1:24:28
2025-11-12 12:48:22.660 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 368/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.1, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.596e-04, size: 352, ETA: 1:24:24
2025-11-12 12:48:26.108 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 368/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.080s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 6.581e-04, size: 320, ETA: 1:24:21
2025-11-12 12:48:29.602 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 368/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 6.566e-04, size: 576, ETA: 1:24:18
2025-11-12 12:48:33.089 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 368/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.078s, total_loss: 6.8, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.552e-04, size: 576, ETA: 1:24:14
2025-11-12 12:48:36.460 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 368/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.156s, data_time: 0.054s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.537e-04, size: 576, ETA: 1:24:11
2025-11-12 12:48:37.982 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:48:38.028 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch369
2025-11-12 12:48:41.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 369/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.164s, data_time: 0.061s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.515e-04, size: 416, ETA: 1:24:06
2025-11-12 12:48:44.861 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 369/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.164s, data_time: 0.070s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.501e-04, size: 288, ETA: 1:24:02
2025-11-12 12:48:48.255 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 369/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.486e-04, size: 384, ETA: 1:23:59
2025-11-12 12:48:52.058 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 369/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.189s, data_time: 0.088s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.472e-04, size: 576, ETA: 1:23:56
2025-11-12 12:48:55.581 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 369/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.068s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 6.457e-04, size: 416, ETA: 1:23:52
2025-11-12 12:48:59.068 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 369/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.443e-04, size: 352, ETA: 1:23:49
2025-11-12 12:49:00.759 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:49:00.806 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch370
2025-11-12 12:49:04.211 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 370/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.166s, data_time: 0.068s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 6.422e-04, size: 416, ETA: 1:23:44
2025-11-12 12:49:07.620 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 370/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.164s, data_time: 0.037s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.408e-04, size: 480, ETA: 1:23:41
2025-11-12 12:49:11.085 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 370/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.063s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 6.394e-04, size: 448, ETA: 1:23:37
2025-11-12 12:49:14.664 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 370/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.071s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.380e-04, size: 384, ETA: 1:23:34
2025-11-12 12:49:18.144 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 370/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.051s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 6.366e-04, size: 320, ETA: 1:23:31
2025-11-12 12:49:21.534 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 370/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.150s, data_time: 0.040s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.352e-04, size: 288, ETA: 1:23:27
2025-11-12 12:49:23.094 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:49:27.861 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:49:31.584 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:49:33.939 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6309
2025-11-12 12:49:34.457 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5863
2025-11-12 12:49:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3836
2025-11-12 12:49:34.570 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5336
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.631
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.586
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.384
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.534
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:49:34.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:49:34.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:49:34.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:49:34.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:49:34.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:49:34.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:49:34.572 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:49:37.598 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:49:40.536 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:49:43.535 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:49:46.520 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:49:49.488 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:49:52.440 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:49:55.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:49:58.347 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:50:01.261 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:50:01.261 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 12:50:01.261 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:50:01.262 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:50:01.288 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.71 ms, Average inference time: 1.34 ms

2025-11-12 12:50:01.289 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:50:01.313 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:50:01.343 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch371
2025-11-12 12:50:04.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 371/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.153s, data_time: 0.058s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 6.332e-04, size: 416, ETA: 1:23:22
2025-11-12 12:50:07.902 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 371/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.076s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.318e-04, size: 320, ETA: 1:23:19
2025-11-12 12:50:11.249 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 371/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 6.304e-04, size: 448, ETA: 1:23:15
2025-11-12 12:50:14.810 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 371/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.175s, data_time: 0.074s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.291e-04, size: 480, ETA: 1:23:12
2025-11-12 12:50:18.312 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 371/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.046s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 6.277e-04, size: 480, ETA: 1:23:09
2025-11-12 12:50:21.777 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 371/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.5, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 6.264e-04, size: 512, ETA: 1:23:05
2025-11-12 12:50:23.370 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:50:23.400 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch372
2025-11-12 12:50:26.887 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 372/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 6.245e-04, size: 352, ETA: 1:23:00
2025-11-12 12:50:30.337 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 372/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.082s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 6.231e-04, size: 448, ETA: 1:22:57
2025-11-12 12:50:33.772 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 372/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.071s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.218e-04, size: 512, ETA: 1:22:54
2025-11-12 12:50:37.273 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 372/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.167s, data_time: 0.066s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.205e-04, size: 288, ETA: 1:22:50
2025-11-12 12:50:40.685 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 372/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.162s, data_time: 0.031s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 6.192e-04, size: 288, ETA: 1:22:47
2025-11-12 12:50:44.090 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 372/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.163s, data_time: 0.037s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 6.179e-04, size: 576, ETA: 1:22:43
2025-11-12 12:50:45.518 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:50:45.572 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch373
2025-11-12 12:50:49.007 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 373/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.048s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 6.160e-04, size: 480, ETA: 1:22:38
2025-11-12 12:50:52.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 373/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.170s, data_time: 0.070s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.147e-04, size: 384, ETA: 1:22:35
2025-11-12 12:50:55.962 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 373/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.070s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 6.134e-04, size: 576, ETA: 1:22:32
2025-11-12 12:50:59.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 373/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.073s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 6.122e-04, size: 352, ETA: 1:22:28
2025-11-12 12:51:02.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 373/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.075s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 6.109e-04, size: 544, ETA: 1:22:25
2025-11-12 12:51:06.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 373/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.083s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 6.097e-04, size: 512, ETA: 1:22:22
2025-11-12 12:51:08.060 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:51:08.084 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch374
2025-11-12 12:51:11.486 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 374/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.076s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.9, lr: 6.079e-04, size: 480, ETA: 1:22:17
2025-11-12 12:51:14.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 374/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 6.066e-04, size: 416, ETA: 1:22:13
2025-11-12 12:51:18.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 374/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.163s, data_time: 0.046s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 6.054e-04, size: 416, ETA: 1:22:10
2025-11-12 12:51:21.683 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 374/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 6.042e-04, size: 448, ETA: 1:22:07
2025-11-12 12:51:25.093 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 374/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.161s, data_time: 0.039s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 6.029e-04, size: 384, ETA: 1:22:03
2025-11-12 12:51:28.456 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 374/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.164s, data_time: 0.045s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 6.017e-04, size: 576, ETA: 1:22:00
2025-11-12 12:51:29.940 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:51:29.992 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch375
2025-11-12 12:51:33.497 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 375/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.010s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 6.000e-04, size: 576, ETA: 1:21:55
2025-11-12 12:51:36.976 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 375/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.152s, data_time: 0.032s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.988e-04, size: 320, ETA: 1:21:51
2025-11-12 12:51:40.487 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 375/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.021s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.976e-04, size: 352, ETA: 1:21:48
2025-11-12 12:51:43.842 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 375/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.156s, data_time: 0.035s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.964e-04, size: 416, ETA: 1:21:44
2025-11-12 12:51:47.298 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 375/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.162s, data_time: 0.060s, total_loss: 6.4, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.953e-04, size: 256, ETA: 1:21:41
2025-11-12 12:51:50.832 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 375/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.158s, data_time: 0.055s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.941e-04, size: 512, ETA: 1:21:37
2025-11-12 12:51:52.347 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:51:57.163 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:52:00.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:52:01.817 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6286
2025-11-12 12:52:02.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5821
2025-11-12 12:52:02.207 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3777
2025-11-12 12:52:02.208 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5295
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.629
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.582
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.378
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.529
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:52:02.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:52:02.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:52:04.092 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:52:06.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:52:07.949 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:52:09.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:52:11.718 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:52:13.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:52:15.532 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:52:17.443 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:52:19.363 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:52:19.363 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 12:52:19.364 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:52:19.364 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:52:19.388 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.72 ms, Average inference time: 1.36 ms

2025-11-12 12:52:19.389 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:52:19.417 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:52:19.453 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch376
2025-11-12 12:52:22.611 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 376/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.147s, data_time: 0.052s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.924e-04, size: 448, ETA: 1:21:32
2025-11-12 12:52:25.995 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 376/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.158s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.913e-04, size: 352, ETA: 1:21:29
2025-11-12 12:52:29.388 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 376/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.168s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.901e-04, size: 512, ETA: 1:21:25
2025-11-12 12:52:32.925 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 376/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.074s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.890e-04, size: 352, ETA: 1:21:22
2025-11-12 12:52:36.430 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 376/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.879e-04, size: 512, ETA: 1:21:19
2025-11-12 12:52:39.861 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 376/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.168s, data_time: 0.078s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.868e-04, size: 512, ETA: 1:21:15
2025-11-12 12:52:41.407 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:52:41.437 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch377
2025-11-12 12:52:44.797 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 377/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.077s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.852e-04, size: 512, ETA: 1:21:10
2025-11-12 12:52:48.300 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 377/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.172s, data_time: 0.066s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.841e-04, size: 416, ETA: 1:21:07
2025-11-12 12:52:51.777 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 377/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.048s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.830e-04, size: 384, ETA: 1:21:04
2025-11-12 12:52:55.348 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 377/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.178s, data_time: 0.004s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.819e-04, size: 288, ETA: 1:21:00
2025-11-12 12:52:58.728 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 377/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.010s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.808e-04, size: 256, ETA: 1:20:57
2025-11-12 12:53:02.228 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 377/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.172s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.797e-04, size: 576, ETA: 1:20:54
2025-11-12 12:53:03.736 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:53:03.828 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch378
2025-11-12 12:53:07.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 378/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.019s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.782e-04, size: 576, ETA: 1:20:49
2025-11-12 12:53:10.784 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 378/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.031s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.771e-04, size: 480, ETA: 1:20:45
2025-11-12 12:53:14.203 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 378/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.049s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.761e-04, size: 384, ETA: 1:20:42
2025-11-12 12:53:17.556 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 378/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.750e-04, size: 576, ETA: 1:20:39
2025-11-12 12:53:21.046 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 378/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.070s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.740e-04, size: 512, ETA: 1:20:35
2025-11-12 12:53:24.591 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 378/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.030s, total_loss: 5.8, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.730e-04, size: 352, ETA: 1:20:32
2025-11-12 12:53:26.120 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:53:26.156 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch379
2025-11-12 12:53:29.663 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 379/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.175s, data_time: 0.048s, total_loss: 6.0, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.715e-04, size: 256, ETA: 1:20:27
2025-11-12 12:53:33.033 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 379/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.166s, data_time: 0.065s, total_loss: 6.6, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 1.0, lr: 5.705e-04, size: 320, ETA: 1:20:24
2025-11-12 12:53:36.609 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 379/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.175s, data_time: 0.055s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 5.695e-04, size: 448, ETA: 1:20:20
2025-11-12 12:53:40.067 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 379/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.059s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.685e-04, size: 384, ETA: 1:20:17
2025-11-12 12:53:43.455 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 379/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 7.3, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.5, cls_loss: 1.0, lr: 5.675e-04, size: 544, ETA: 1:20:14
2025-11-12 12:53:46.878 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 379/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.069s, total_loss: 7.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.0, lr: 5.665e-04, size: 320, ETA: 1:20:10
2025-11-12 12:53:48.456 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:53:48.488 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch380
2025-11-12 12:53:52.004 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 380/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.172s, data_time: 0.068s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.651e-04, size: 576, ETA: 1:20:05
2025-11-12 12:53:55.497 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 380/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.020s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.642e-04, size: 544, ETA: 1:20:02
2025-11-12 12:53:58.859 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 380/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.038s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.632e-04, size: 544, ETA: 1:19:59
2025-11-12 12:54:02.252 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 380/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.168s, data_time: 0.066s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.623e-04, size: 448, ETA: 1:19:55
2025-11-12 12:54:05.808 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 380/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 4.8, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 1.8, cls_loss: 0.7, lr: 5.613e-04, size: 416, ETA: 1:19:52
2025-11-12 12:54:09.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 380/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.080s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.604e-04, size: 480, ETA: 1:19:48
2025-11-12 12:54:10.700 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:54:15.531 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:54:17.459 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:54:18.732 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6259
2025-11-12 12:54:18.972 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5726
2025-11-12 12:54:19.028 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3742
2025-11-12 12:54:19.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5242
2025-11-12 12:54:19.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:54:19.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:54:19.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.626
2025-11-12 12:54:19.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.573
2025-11-12 12:54:19.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.374
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.524
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:54:19.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:54:20.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:54:22.146 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:54:23.682 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:54:25.262 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:54:26.778 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:54:28.360 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:54:29.880 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:54:31.420 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:54:32.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:54:32.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:54:32.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 12:54:32.998 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:54:33.021 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.71 ms, Average inference time: 1.36 ms

2025-11-12 12:54:33.022 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:54:33.044 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:54:33.074 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch381
2025-11-12 12:54:36.091 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 381/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.150s, data_time: 0.053s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.9, lr: 5.590e-04, size: 512, ETA: 1:19:43
2025-11-12 12:54:39.591 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 381/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.174s, data_time: 0.077s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.581e-04, size: 256, ETA: 1:19:40
2025-11-12 12:54:43.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 381/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.171s, data_time: 0.076s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 5.572e-04, size: 576, ETA: 1:19:37
2025-11-12 12:54:46.559 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 381/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.7, lr: 5.563e-04, size: 320, ETA: 1:19:33
2025-11-12 12:54:50.017 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 381/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.064s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.554e-04, size: 416, ETA: 1:19:30
2025-11-12 12:54:53.492 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 381/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.545e-04, size: 256, ETA: 1:19:27
2025-11-12 12:54:55.169 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:54:55.198 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch382
2025-11-12 12:54:58.616 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 382/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.074s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.533e-04, size: 352, ETA: 1:19:22
2025-11-12 12:55:02.050 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 382/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.074s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.1, lr: 5.524e-04, size: 288, ETA: 1:19:19
2025-11-12 12:55:05.494 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 382/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.515e-04, size: 576, ETA: 1:19:15
2025-11-12 12:55:08.976 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 382/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.072s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.6, lr: 5.507e-04, size: 416, ETA: 1:19:12
2025-11-12 12:55:12.566 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 382/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.178s, data_time: 0.072s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.498e-04, size: 320, ETA: 1:19:09
2025-11-12 12:55:16.006 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 382/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.490e-04, size: 448, ETA: 1:19:05
2025-11-12 12:55:17.477 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:55:17.507 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch383
2025-11-12 12:55:21.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 383/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.209s, data_time: 0.113s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.478e-04, size: 416, ETA: 1:19:01
2025-11-12 12:55:25.720 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 383/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.187s, data_time: 0.086s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.469e-04, size: 512, ETA: 1:18:58
2025-11-12 12:55:29.117 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 383/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.071s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.461e-04, size: 384, ETA: 1:18:54
2025-11-12 12:55:32.591 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 383/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.051s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 1.0, lr: 5.453e-04, size: 480, ETA: 1:18:51
2025-11-12 12:55:36.093 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 383/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 5.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.445e-04, size: 288, ETA: 1:18:48
2025-11-12 12:55:39.556 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 383/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.073s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.437e-04, size: 576, ETA: 1:18:44
2025-11-12 12:55:41.052 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:55:41.158 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch384
2025-11-12 12:55:44.477 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 384/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.035s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.426e-04, size: 480, ETA: 1:18:39
2025-11-12 12:55:48.828 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 384/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.213s, data_time: 0.079s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.418e-04, size: 416, ETA: 1:18:36
2025-11-12 12:55:52.266 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 384/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.410e-04, size: 448, ETA: 1:18:33
2025-11-12 12:55:55.679 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 384/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.161s, data_time: 0.043s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.403e-04, size: 448, ETA: 1:18:30
2025-11-12 12:55:59.067 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 384/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.163s, data_time: 0.005s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.2, cls_loss: 0.8, lr: 5.395e-04, size: 416, ETA: 1:18:26
2025-11-12 12:56:02.514 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 384/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.066s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.387e-04, size: 320, ETA: 1:18:23
2025-11-12 12:56:03.921 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:56:03.967 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch385
2025-11-12 12:56:07.333 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 385/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.167s, data_time: 0.065s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.377e-04, size: 256, ETA: 1:18:18
2025-11-12 12:56:10.918 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 385/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.176s, data_time: 0.055s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.369e-04, size: 544, ETA: 1:18:14
2025-11-12 12:56:14.270 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 385/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.166s, data_time: 0.030s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.362e-04, size: 288, ETA: 1:18:11
2025-11-12 12:56:17.759 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 385/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.173s, data_time: 0.077s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.355e-04, size: 384, ETA: 1:18:08
2025-11-12 12:56:21.348 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 385/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.178s, data_time: 0.075s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.348e-04, size: 352, ETA: 1:18:04
2025-11-12 12:56:24.753 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 385/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.078s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.341e-04, size: 320, ETA: 1:18:01
2025-11-12 12:56:26.353 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:56:31.085 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:56:33.740 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:56:35.503 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6267
2025-11-12 12:56:35.818 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5790
2025-11-12 12:56:35.883 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3805
2025-11-12 12:56:35.884 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5287
2025-11-12 12:56:35.884 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:56:35.884 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.627
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.579
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.380
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.529
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:56:35.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:56:35.886 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:56:35.886 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:56:35.886 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:56:38.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:56:40.224 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:56:42.384 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:56:44.541 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:56:46.686 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:56:48.817 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:56:50.942 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:56:53.064 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:56:55.256 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:56:55.256 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 12:56:55.257 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 12:56:55.257 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:56:55.281 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.71 ms, Average inference time: 1.32 ms

2025-11-12 12:56:55.282 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:56:55.304 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:56:55.333 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch386
2025-11-12 12:56:58.369 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 386/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.150s, data_time: 0.058s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.331e-04, size: 384, ETA: 1:17:56
2025-11-12 12:57:01.781 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 386/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.156s, data_time: 0.033s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.324e-04, size: 288, ETA: 1:17:52
2025-11-12 12:57:05.258 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 386/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.154s, data_time: 0.014s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.317e-04, size: 448, ETA: 1:17:49
2025-11-12 12:57:08.681 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 386/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.156s, data_time: 0.009s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.310e-04, size: 288, ETA: 1:17:45
2025-11-12 12:57:12.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 386/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.155s, data_time: 0.019s, total_loss: 6.8, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 1.0, lr: 5.304e-04, size: 384, ETA: 1:17:42
2025-11-12 12:57:15.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 386/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.162s, data_time: 0.044s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.297e-04, size: 352, ETA: 1:17:38
2025-11-12 12:57:16.952 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:57:17.145 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch387
2025-11-12 12:57:20.560 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 387/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.158s, data_time: 0.061s, total_loss: 6.6, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.288e-04, size: 256, ETA: 1:17:33
2025-11-12 12:57:23.953 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 387/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.164s, data_time: 0.026s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.281e-04, size: 416, ETA: 1:17:30
2025-11-12 12:57:27.373 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 387/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.168s, data_time: 0.065s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.275e-04, size: 384, ETA: 1:17:27
2025-11-12 12:57:30.949 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 387/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.177s, data_time: 0.081s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.9, lr: 5.269e-04, size: 256, ETA: 1:17:23
2025-11-12 12:57:34.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 387/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.164s, data_time: 0.067s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.263e-04, size: 352, ETA: 1:17:20
2025-11-12 12:57:37.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 387/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.067s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.256e-04, size: 544, ETA: 1:17:16
2025-11-12 12:57:39.315 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:57:39.348 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch388
2025-11-12 12:57:43.000 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 388/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.175s, data_time: 0.068s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 5.248e-04, size: 448, ETA: 1:17:12
2025-11-12 12:57:46.515 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 388/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.171s, data_time: 0.004s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 3.1, cls_loss: 0.9, lr: 5.242e-04, size: 512, ETA: 1:17:08
2025-11-12 12:57:49.855 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 388/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.163s, data_time: 0.009s, total_loss: 5.9, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.236e-04, size: 288, ETA: 1:17:05
2025-11-12 12:57:53.369 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 388/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.078s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.230e-04, size: 384, ETA: 1:17:02
2025-11-12 12:57:56.967 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 388/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.177s, data_time: 0.083s, total_loss: 6.2, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.224e-04, size: 288, ETA: 1:16:58
2025-11-12 12:58:00.493 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 388/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.175s, data_time: 0.080s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.8, lr: 5.219e-04, size: 448, ETA: 1:16:55
2025-11-12 12:58:02.000 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:58:02.031 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch389
2025-11-12 12:58:05.410 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 389/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 5.0, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 1.9, cls_loss: 0.6, lr: 5.211e-04, size: 448, ETA: 1:16:50
2025-11-12 12:58:08.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 389/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.073s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.205e-04, size: 448, ETA: 1:16:47
2025-11-12 12:58:12.229 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 389/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.166s, data_time: 0.058s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.200e-04, size: 448, ETA: 1:16:43
2025-11-12 12:58:15.719 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 389/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.066s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.194e-04, size: 384, ETA: 1:16:40
2025-11-12 12:58:19.210 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 389/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.075s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.189e-04, size: 416, ETA: 1:16:37
2025-11-12 12:58:22.631 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 389/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.067s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.184e-04, size: 352, ETA: 1:16:33
2025-11-12 12:58:24.196 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:58:24.249 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch390
2025-11-12 12:58:27.727 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 390/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.166s, data_time: 0.029s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.177e-04, size: 320, ETA: 1:16:28
2025-11-12 12:58:31.154 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 390/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.161s, data_time: 0.019s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.172e-04, size: 544, ETA: 1:16:25
2025-11-12 12:58:34.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 390/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.004s, total_loss: 6.2, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.167e-04, size: 320, ETA: 1:16:21
2025-11-12 12:58:38.224 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 390/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.019s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.162e-04, size: 448, ETA: 1:16:18
2025-11-12 12:58:41.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 390/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.044s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.157e-04, size: 512, ETA: 1:16:15
2025-11-12 12:58:45.070 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 390/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.164s, data_time: 0.038s, total_loss: 6.5, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.152e-04, size: 480, ETA: 1:16:11
2025-11-12 12:58:46.603 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:58:51.449 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 12:58:54.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 12:58:56.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6301
2025-11-12 12:58:56.809 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5856
2025-11-12 12:58:56.924 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4044
2025-11-12 12:58:56.925 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5400
2025-11-12 12:58:56.925 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 12:58:56.925 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 12:58:56.925 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.630
2025-11-12 12:58:56.925 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.586
2025-11-12 12:58:56.925 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.404
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.540
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 12:58:56.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 12:58:56.927 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 12:58:58.983 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 12:59:01.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 12:59:03.175 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 12:59:05.292 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 12:59:07.425 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 12:59:09.541 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 12:59:11.582 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 12:59:13.672 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 12:59:15.787 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 12:59:15.787 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 12:59:15.787 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 12:59:15.788 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 12:59:15.812 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.72 ms, Average inference time: 1.39 ms

2025-11-12 12:59:15.815 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:59:15.841 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:59:15.874 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch391
2025-11-12 12:59:18.919 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 391/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.152s, data_time: 0.052s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.146e-04, size: 352, ETA: 1:16:06
2025-11-12 12:59:22.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 391/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.074s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 3.3, cls_loss: 0.9, lr: 5.141e-04, size: 512, ETA: 1:16:03
2025-11-12 12:59:25.887 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 391/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.173s, data_time: 0.076s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.137e-04, size: 352, ETA: 1:15:59
2025-11-12 12:59:29.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 391/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.176s, data_time: 0.084s, total_loss: 5.6, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.132e-04, size: 288, ETA: 1:15:56
2025-11-12 12:59:32.773 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 391/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.163s, data_time: 0.070s, total_loss: 5.6, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.8, lr: 5.128e-04, size: 320, ETA: 1:15:53
2025-11-12 12:59:36.208 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 391/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.171s, data_time: 0.079s, total_loss: 7.9, iou_loss: 3.2, l1_loss: 0.0, conf_loss: 3.7, cls_loss: 1.0, lr: 5.124e-04, size: 384, ETA: 1:15:49
2025-11-12 12:59:37.836 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:59:37.883 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch392
2025-11-12 12:59:41.263 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 392/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.168s, data_time: 0.054s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.117e-04, size: 416, ETA: 1:15:44
2025-11-12 12:59:44.709 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 392/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.169s, data_time: 0.070s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 5.113e-04, size: 320, ETA: 1:15:41
2025-11-12 12:59:48.176 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 392/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.168s, data_time: 0.065s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.109e-04, size: 320, ETA: 1:15:38
2025-11-12 12:59:51.510 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 392/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.164s, data_time: 0.042s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.105e-04, size: 352, ETA: 1:15:34
2025-11-12 12:59:55.031 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 392/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.064s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.102e-04, size: 320, ETA: 1:15:31
2025-11-12 12:59:58.423 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 392/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.160s, data_time: 0.004s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.6, lr: 5.098e-04, size: 448, ETA: 1:15:27
2025-11-12 12:59:59.899 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 12:59:59.929 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch393
2025-11-12 13:00:03.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 393/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.171s, data_time: 0.069s, total_loss: 6.3, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.092e-04, size: 480, ETA: 1:15:23
2025-11-12 13:00:06.813 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 393/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.167s, data_time: 0.061s, total_loss: 5.2, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 1.9, cls_loss: 0.8, lr: 5.089e-04, size: 320, ETA: 1:15:19
2025-11-12 13:00:10.337 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 393/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.174s, data_time: 0.067s, total_loss: 6.7, iou_loss: 2.9, l1_loss: 0.0, conf_loss: 2.9, cls_loss: 0.9, lr: 5.085e-04, size: 512, ETA: 1:15:16
2025-11-12 13:00:13.872 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 393/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.174s, data_time: 0.067s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.9, lr: 5.082e-04, size: 416, ETA: 1:15:13
2025-11-12 13:00:17.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 393/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.178s, data_time: 0.080s, total_loss: 5.4, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.078e-04, size: 352, ETA: 1:15:09
2025-11-12 13:00:20.899 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 393/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.172s, data_time: 0.076s, total_loss: 5.9, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.075e-04, size: 416, ETA: 1:15:06
2025-11-12 13:00:22.501 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:00:22.532 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch394
2025-11-12 13:00:25.985 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 394/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.171s, data_time: 0.075s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.070e-04, size: 320, ETA: 1:15:01
2025-11-12 13:00:29.603 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 394/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.180s, data_time: 0.079s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.067e-04, size: 512, ETA: 1:14:58
2025-11-12 13:00:33.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 394/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.178s, data_time: 0.076s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.9, lr: 5.064e-04, size: 448, ETA: 1:14:55
2025-11-12 13:00:36.585 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 394/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.165s, data_time: 0.071s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.061e-04, size: 544, ETA: 1:14:51
2025-11-12 13:00:40.049 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 394/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.6, lr: 5.058e-04, size: 320, ETA: 1:14:48
2025-11-12 13:00:43.550 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 394/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 6.6, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 3.0, cls_loss: 0.8, lr: 5.055e-04, size: 512, ETA: 1:14:44
2025-11-12 13:00:45.122 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:00:45.197 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch395
2025-11-12 13:00:48.454 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 395/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.162s, data_time: 0.067s, total_loss: 6.7, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.051e-04, size: 352, ETA: 1:14:40
2025-11-12 13:00:52.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 395/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.174s, data_time: 0.079s, total_loss: 5.5, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.1, cls_loss: 0.8, lr: 5.049e-04, size: 320, ETA: 1:14:36
2025-11-12 13:00:55.532 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 395/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.175s, data_time: 0.076s, total_loss: 6.3, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.9, lr: 5.046e-04, size: 288, ETA: 1:14:33
2025-11-12 13:00:59.030 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 395/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.174s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.043e-04, size: 416, ETA: 1:14:30
2025-11-12 13:01:02.581 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 395/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.176s, data_time: 0.071s, total_loss: 6.5, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.041e-04, size: 320, ETA: 1:14:26
2025-11-12 13:01:05.932 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 395/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.166s, data_time: 0.066s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.039e-04, size: 512, ETA: 1:14:23
2025-11-12 13:01:07.502 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:01:12.200 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:01:14.320 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:01:15.686 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6278
2025-11-12 13:01:15.988 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5765
2025-11-12 13:01:16.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3809
2025-11-12 13:01:16.047 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5284
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.628
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.577
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.381
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.528
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:01:16.048 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:01:16.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:01:17.774 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:01:19.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:01:21.120 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:01:22.776 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:01:24.492 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:01:26.144 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:01:27.836 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:01:29.525 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:01:31.163 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:01:31.163 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 13:01:31.163 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 13:01:31.164 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:01:31.192 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.72 ms, Average inference time: 1.37 ms

2025-11-12 13:01:31.193 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:01:31.215 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:01:31.244 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch396
2025-11-12 13:01:34.314 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 396/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.152s, data_time: 0.056s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.035e-04, size: 576, ETA: 1:14:18
2025-11-12 13:01:37.713 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 396/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.158s, data_time: 0.060s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.033e-04, size: 288, ETA: 1:14:14
2025-11-12 13:01:41.203 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 396/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.066s, total_loss: 6.0, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.031e-04, size: 320, ETA: 1:14:11
2025-11-12 13:01:44.795 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 396/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.170s, data_time: 0.050s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.029e-04, size: 288, ETA: 1:14:08
2025-11-12 13:01:48.250 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 396/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.164s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.027e-04, size: 448, ETA: 1:14:04
2025-11-12 13:01:51.767 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 396/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.169s, data_time: 0.006s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.025e-04, size: 480, ETA: 1:14:01
2025-11-12 13:01:53.222 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:01:53.250 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch397
2025-11-12 13:01:56.685 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 397/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.166s, data_time: 0.064s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.022e-04, size: 480, ETA: 1:13:56
2025-11-12 13:02:00.126 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 397/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.168s, data_time: 0.072s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.020e-04, size: 448, ETA: 1:13:52
2025-11-12 13:02:03.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 397/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.170s, data_time: 0.078s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.9, lr: 5.019e-04, size: 448, ETA: 1:13:49
2025-11-12 13:02:07.125 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 397/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.174s, data_time: 0.081s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.017e-04, size: 512, ETA: 1:13:46
2025-11-12 13:02:10.561 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 397/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.169s, data_time: 0.072s, total_loss: 5.8, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.016e-04, size: 352, ETA: 1:13:42
2025-11-12 13:02:14.114 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 397/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.177s, data_time: 0.069s, total_loss: 5.9, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.014e-04, size: 448, ETA: 1:13:39
2025-11-12 13:02:15.702 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:02:15.731 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch398
2025-11-12 13:02:19.123 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 398/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.169s, data_time: 0.069s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.012e-04, size: 448, ETA: 1:13:34
2025-11-12 13:02:22.733 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 398/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.179s, data_time: 0.080s, total_loss: 7.2, iou_loss: 3.0, l1_loss: 0.0, conf_loss: 3.4, cls_loss: 0.8, lr: 5.011e-04, size: 448, ETA: 1:13:31
2025-11-12 13:02:26.194 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 398/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.172s, data_time: 0.074s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.010e-04, size: 512, ETA: 1:13:28
2025-11-12 13:02:29.579 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 398/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.167s, data_time: 0.075s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.0, conf_loss: 2.0, cls_loss: 0.8, lr: 5.009e-04, size: 384, ETA: 1:13:24
2025-11-12 13:02:33.055 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 398/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.172s, data_time: 0.043s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.007e-04, size: 320, ETA: 1:13:21
2025-11-12 13:02:36.529 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 398/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.165s, data_time: 0.019s, total_loss: 6.4, iou_loss: 2.8, l1_loss: 0.0, conf_loss: 2.8, cls_loss: 0.9, lr: 5.006e-04, size: 384, ETA: 1:13:17
2025-11-12 13:02:38.055 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:02:38.080 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch399
2025-11-12 13:02:41.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 399/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.165s, data_time: 0.036s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.005e-04, size: 480, ETA: 1:13:13
2025-11-12 13:02:44.903 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 399/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.170s, data_time: 0.032s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.8, lr: 5.004e-04, size: 512, ETA: 1:13:09
2025-11-12 13:02:48.449 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 399/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.176s, data_time: 0.080s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.9, lr: 5.004e-04, size: 448, ETA: 1:13:06
2025-11-12 13:02:52.019 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 399/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.177s, data_time: 0.077s, total_loss: 5.7, iou_loss: 2.7, l1_loss: 0.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.003e-04, size: 544, ETA: 1:13:03
2025-11-12 13:02:55.490 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 399/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.173s, data_time: 0.064s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.0, conf_loss: 2.7, cls_loss: 0.7, lr: 5.002e-04, size: 544, ETA: 1:12:59
2025-11-12 13:02:58.851 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 399/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.167s, data_time: 0.052s, total_loss: 5.7, iou_loss: 2.6, l1_loss: 0.0, conf_loss: 2.4, cls_loss: 0.8, lr: 5.002e-04, size: 480, ETA: 1:12:56
2025-11-12 13:03:00.403 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:00.434 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch400
2025-11-12 13:03:00.434 | INFO     | yolox_microbt.core.trainer:before_epoch:208 - --->No mosaic aug now!
2025-11-12 13:03:00.435 | INFO     | yolox_microbt.core.trainer:before_epoch:210 - --->Add additional L1 loss now!
2025-11-12 13:03:00.435 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:02.646 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 400/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.106s, data_time: 0.013s, total_loss: 6.7, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.5, cls_loss: 0.7, lr: 5.001e-04, size: 256, ETA: 1:12:50
2025-11-12 13:03:04.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 400/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.001s, total_loss: 6.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.8, lr: 5.001e-04, size: 416, ETA: 1:12:46
2025-11-12 13:03:06.328 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 400/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 1:12:42
2025-11-12 13:03:08.345 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 400/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:12:38
2025-11-12 13:03:10.277 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 400/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 1:12:34
2025-11-12 13:03:12.211 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 400/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 1:12:30
2025-11-12 13:03:13.021 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:17.901 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:03:18.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:03:19.177 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6185
2025-11-12 13:03:19.313 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5617
2025-11-12 13:03:19.351 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3952
2025-11-12 13:03:19.353 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5251
2025-11-12 13:03:19.353 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:03:19.353 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:03:19.353 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.619
2025-11-12 13:03:19.353 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.562
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.395
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.525
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:03:19.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:03:19.355 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:03:19.962 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:03:20.582 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:03:21.228 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:03:21.834 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:03:22.442 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:03:23.050 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:03:23.693 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:03:24.315 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:03:24.915 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:03:24.915 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 13:03:24.915 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 13:03:24.916 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:03:24.922 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.71 ms, Average inference time: 1.35 ms

2025-11-12 13:03:24.923 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:24.946 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:24.973 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch401
2025-11-12 13:03:26.824 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 401/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 1:12:24
2025-11-12 13:03:28.557 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 401/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:12:19
2025-11-12 13:03:30.385 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 401/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 1:12:15
2025-11-12 13:03:32.227 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 401/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:12:11
2025-11-12 13:03:34.047 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 401/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 1:12:07
2025-11-12 13:03:35.839 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 401/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 1:12:03
2025-11-12 13:03:36.722 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:36.754 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch402
2025-11-12 13:03:38.532 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 402/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:11:57
2025-11-12 13:03:40.322 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 402/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 1:11:53
2025-11-12 13:03:42.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 402/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.5, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 1:11:49
2025-11-12 13:03:44.053 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 402/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.6, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 1:11:44
2025-11-12 13:03:45.985 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 402/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 7.6, iou_loss: 2.7, l1_loss: 1.0, conf_loss: 3.0, cls_loss: 0.9, lr: 5.000e-04, size: 544, ETA: 1:11:40
2025-11-12 13:03:47.839 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 402/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 7.8, iou_loss: 2.6, l1_loss: 1.2, conf_loss: 3.2, cls_loss: 0.8, lr: 5.000e-04, size: 512, ETA: 1:11:36
2025-11-12 13:03:48.687 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:03:48.726 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch403
2025-11-12 13:03:50.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 403/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.9, lr: 5.000e-04, size: 544, ETA: 1:11:30
2025-11-12 13:03:52.394 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 403/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.6, l1_loss: 0.7, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:11:26
2025-11-12 13:03:54.311 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 403/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:11:22
2025-11-12 13:03:56.171 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 403/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 1:11:18
2025-11-12 13:03:58.021 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 403/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:11:14
2025-11-12 13:03:59.773 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 403/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.8, lr: 5.000e-04, size: 384, ETA: 1:11:10
2025-11-12 13:04:00.585 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:04:00.616 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch404
2025-11-12 13:04:02.500 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 404/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.004s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 1.1, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 1:11:04
2025-11-12 13:04:04.363 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 404/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:11:00
2025-11-12 13:04:06.186 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 404/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:10:55
2025-11-12 13:04:08.042 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 404/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 1:10:51
2025-11-12 13:04:09.834 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 404/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 1:10:47
2025-11-12 13:04:11.678 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 404/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 1:10:43
2025-11-12 13:04:12.446 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:04:12.479 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch405
2025-11-12 13:04:14.364 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 405/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 1:10:37
2025-11-12 13:04:16.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 405/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 1:10:33
2025-11-12 13:04:18.099 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 405/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 7.6, iou_loss: 2.9, l1_loss: 1.0, conf_loss: 3.0, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 1:10:29
2025-11-12 13:04:19.768 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 405/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:10:25
2025-11-12 13:04:21.722 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 405/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:10:21
2025-11-12 13:04:23.446 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 405/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 1:10:17
2025-11-12 13:04:24.264 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:04:29.075 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:04:30.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:04:30.587 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6481
2025-11-12 13:04:30.769 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5907
2025-11-12 13:04:30.809 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4357
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5582
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.648
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.591
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.436
2025-11-12 13:04:30.810 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.558
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:04:30.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:04:31.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:04:32.345 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:04:33.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:04:33.835 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:04:34.613 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:04:35.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:04:36.133 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:04:36.876 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:04:37.657 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:04:37.657 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:04:37.658 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:04:37.658 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:04:37.664 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.71 ms, Average inference time: 1.35 ms

2025-11-12 13:04:37.666 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:04:37.689 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:04:37.717 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch406
2025-11-12 13:04:39.598 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 406/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 7.3, iou_loss: 2.3, l1_loss: 1.2, conf_loss: 2.8, cls_loss: 1.0, lr: 5.000e-04, size: 544, ETA: 1:10:11
2025-11-12 13:04:41.558 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 406/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 1:10:07
2025-11-12 13:04:43.436 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 406/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 1:10:03
2025-11-12 13:04:45.403 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 406/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:09:58
2025-11-12 13:04:47.293 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 406/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.9, lr: 5.000e-04, size: 384, ETA: 1:09:54
2025-11-12 13:04:49.068 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 406/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 1:09:50
2025-11-12 13:04:49.891 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:04:49.921 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch407
2025-11-12 13:04:51.823 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 407/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 4.5, iou_loss: 1.5, l1_loss: 0.4, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 1:09:44
2025-11-12 13:04:53.577 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 407/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:09:40
2025-11-12 13:04:55.253 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 407/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.081s, data_time: 0.003s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:09:36
2025-11-12 13:04:57.152 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 407/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:09:32
2025-11-12 13:04:59.052 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 407/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:09:28
2025-11-12 13:05:00.874 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 407/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.8, lr: 5.000e-04, size: 416, ETA: 1:09:24
2025-11-12 13:05:01.733 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:05:01.766 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch408
2025-11-12 13:05:03.667 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 408/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 1:09:18
2025-11-12 13:05:05.527 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 408/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.1, iou_loss: 1.7, l1_loss: 1.3, conf_loss: 2.6, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 1:09:14
2025-11-12 13:05:07.377 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 408/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 1:09:10
2025-11-12 13:05:09.178 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 408/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:09:06
2025-11-12 13:05:11.128 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 408/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 7.0, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.6, cls_loss: 0.8, lr: 5.000e-04, size: 416, ETA: 1:09:02
2025-11-12 13:05:12.998 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 408/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 1:08:58
2025-11-12 13:05:13.826 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:05:13.855 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch409
2025-11-12 13:05:15.677 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 409/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 6.7, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.9, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 1:08:52
2025-11-12 13:05:17.432 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 409/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 1:08:48
2025-11-12 13:05:19.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 409/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 1:08:44
2025-11-12 13:05:21.078 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 409/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:08:40
2025-11-12 13:05:22.975 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 409/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 1:08:36
2025-11-12 13:05:24.763 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 409/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:08:31
2025-11-12 13:05:25.654 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:05:25.688 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch410
2025-11-12 13:05:27.535 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 410/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:08:26
2025-11-12 13:05:29.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 410/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 1:08:22
2025-11-12 13:05:31.286 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 410/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 1:08:18
2025-11-12 13:05:33.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 410/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 1:08:14
2025-11-12 13:05:35.133 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 410/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 3.3, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 1:08:10
2025-11-12 13:05:37.056 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 410/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:08:06
2025-11-12 13:05:37.881 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:05:42.758 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:05:43.859 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:05:44.398 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6390
2025-11-12 13:05:44.550 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5790
2025-11-12 13:05:44.594 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4278
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5486
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.639
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.579
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.428
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.549
2025-11-12 13:05:44.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:05:44.596 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:05:45.327 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:05:46.090 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:05:46.816 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:05:47.548 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:05:48.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:05:49.042 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:05:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:05:50.475 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:05:51.228 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:05:51.228 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:05:51.229 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:05:51.229 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:05:51.235 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.69 ms, Average inference time: 1.31 ms

2025-11-12 13:05:51.236 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:05:51.262 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:05:51.294 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch411
2025-11-12 13:05:53.204 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 411/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 1:08:00
2025-11-12 13:05:55.043 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 411/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:07:56
2025-11-12 13:05:56.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 411/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.6, l1_loss: 0.4, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:07:52
2025-11-12 13:05:58.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 411/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.101s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 0.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:07:48
2025-11-12 13:06:00.609 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 411/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 1:07:44
2025-11-12 13:06:02.468 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 411/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 1:07:40
2025-11-12 13:06:03.366 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:06:03.396 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch412
2025-11-12 13:06:05.351 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 412/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.003s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 1:07:34
2025-11-12 13:06:07.242 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 412/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 1:07:30
2025-11-12 13:06:09.081 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 412/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 1:07:26
2025-11-12 13:06:10.993 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 412/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:07:22
2025-11-12 13:06:13.001 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 412/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:07:18
2025-11-12 13:06:14.832 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 412/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 1:07:14
2025-11-12 13:06:15.590 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:06:15.620 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch413
2025-11-12 13:06:17.415 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 413/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.8, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:07:08
2025-11-12 13:06:19.227 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 413/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.001s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:07:04
2025-11-12 13:06:21.102 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 413/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:07:00
2025-11-12 13:06:23.148 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 413/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 1:06:56
2025-11-12 13:06:24.949 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 413/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 1:06:52
2025-11-12 13:06:26.703 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 413/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 1:06:48
2025-11-12 13:06:27.444 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:06:27.478 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch414
2025-11-12 13:06:29.310 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 414/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 1:06:42
2025-11-12 13:06:31.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 414/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:06:38
2025-11-12 13:06:32.964 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 414/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:06:34
2025-11-12 13:06:34.787 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 414/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:06:30
2025-11-12 13:06:36.554 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 414/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.1, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 0.9, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 1:06:26
2025-11-12 13:06:38.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 414/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:06:22
2025-11-12 13:06:39.299 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:06:39.330 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch415
2025-11-12 13:06:41.156 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 415/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.6, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:06:16
2025-11-12 13:06:43.016 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 415/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 1:06:12
2025-11-12 13:06:44.814 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 415/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:06:08
2025-11-12 13:06:46.592 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 415/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 1:06:04
2025-11-12 13:06:48.428 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 415/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 1:06:00
2025-11-12 13:06:50.344 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 415/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 1:05:56
2025-11-12 13:06:51.155 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:06:55.916 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:06:56.764 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:06:57.312 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6422
2025-11-12 13:06:57.429 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5702
2025-11-12 13:06:57.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4303
2025-11-12 13:06:57.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5475
2025-11-12 13:06:57.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:06:57.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:06:57.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.642
2025-11-12 13:06:57.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.570
2025-11-12 13:06:57.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.430
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.548
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:06:57.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:06:57.468 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:06:58.147 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:06:58.859 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:06:59.526 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:07:00.194 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:07:00.903 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:07:01.569 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:07:02.239 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:07:02.938 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:07:03.603 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:07:03.603 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:07:03.603 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:07:03.603 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:07:03.610 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.71 ms, Average inference time: 1.35 ms

2025-11-12 13:07:03.611 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:07:03.632 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:07:03.660 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch416
2025-11-12 13:07:05.435 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 416/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 3.9, iou_loss: 1.5, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 1:05:50
2025-11-12 13:07:07.208 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 416/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 1:05:46
2025-11-12 13:07:09.100 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 416/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 1:05:42
2025-11-12 13:07:10.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 416/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.082s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 1:05:38
2025-11-12 13:07:12.421 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 416/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.003s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 1:05:34
2025-11-12 13:07:14.156 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 416/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:05:30
2025-11-12 13:07:14.941 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:07:14.972 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch417
2025-11-12 13:07:16.798 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 417/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 1:05:24
2025-11-12 13:07:18.742 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 417/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 1.1, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:05:20
2025-11-12 13:07:20.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 417/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 1:05:16
2025-11-12 13:07:22.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 417/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 7.3, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 3.2, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 1:05:12
2025-11-12 13:07:24.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 417/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:05:08
2025-11-12 13:07:26.187 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 417/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 1:05:05
2025-11-12 13:07:27.123 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:07:27.152 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch418
2025-11-12 13:07:29.069 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 418/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 7.0, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 3.1, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 1:04:59
2025-11-12 13:07:31.216 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 418/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.104s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:04:55
2025-11-12 13:07:33.029 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 418/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 1:04:51
2025-11-12 13:07:34.816 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 418/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 1.0, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 1:04:47
2025-11-12 13:07:36.727 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 418/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:04:43
2025-11-12 13:07:38.612 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 418/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 1:04:39
2025-11-12 13:07:39.451 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:07:39.496 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch419
2025-11-12 13:07:41.407 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 419/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.005s, total_loss: 8.1, iou_loss: 2.8, l1_loss: 1.0, conf_loss: 3.5, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 1:04:33
2025-11-12 13:07:43.234 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 419/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 1:04:30
2025-11-12 13:07:45.015 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 419/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 1:04:26
2025-11-12 13:07:46.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 419/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 1:04:22
2025-11-12 13:07:48.784 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 419/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 1:04:18
2025-11-12 13:07:50.692 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 419/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 480, ETA: 1:04:14
2025-11-12 13:07:51.521 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:07:51.551 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch420
2025-11-12 13:07:53.349 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 420/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:04:08
2025-11-12 13:07:55.123 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 420/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:04:04
2025-11-12 13:07:57.025 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 420/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.6, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 1:04:00
2025-11-12 13:07:58.713 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 420/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 8.1, iou_loss: 2.9, l1_loss: 1.4, conf_loss: 3.2, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 1:03:56
2025-11-12 13:08:00.576 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 420/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 1:03:52
2025-11-12 13:08:02.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 420/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 1:03:48
2025-11-12 13:08:03.265 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:08:07.971 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:08:08.787 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:08:09.287 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6461
2025-11-12 13:08:09.407 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5751
2025-11-12 13:08:09.481 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4356
2025-11-12 13:08:09.481 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5523
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.646
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.575
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.436
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.552
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:08:09.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:08:09.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:08:09.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:08:09.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:08:09.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:08:09.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:08:09.483 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:08:10.111 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:08:10.749 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:08:11.412 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:08:12.040 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:08:12.667 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:08:13.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:08:13.965 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:08:14.592 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:08:15.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:08:15.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:08:15.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:08:15.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:08:15.233 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.72 ms, Average inference time: 1.35 ms

2025-11-12 13:08:15.234 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:08:15.256 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:08:15.284 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch421
2025-11-12 13:08:17.108 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 421/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 1:03:43
2025-11-12 13:08:19.158 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 421/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 1:03:39
2025-11-12 13:08:21.061 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 421/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 1:03:35
2025-11-12 13:08:22.840 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 421/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:03:31
2025-11-12 13:08:24.747 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 421/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 1:03:27
2025-11-12 13:08:26.553 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 421/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:03:23
2025-11-12 13:08:27.318 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:08:27.350 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch422
2025-11-12 13:08:29.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 422/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 1:03:17
2025-11-12 13:08:31.010 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 422/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.7, l1_loss: 1.0, conf_loss: 2.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:03:13
2025-11-12 13:08:32.983 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 422/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 1:03:09
2025-11-12 13:08:34.828 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 422/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:03:06
2025-11-12 13:08:36.596 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 422/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 7.5, iou_loss: 2.8, l1_loss: 1.1, conf_loss: 2.6, cls_loss: 1.0, lr: 5.000e-04, size: 448, ETA: 1:03:02
2025-11-12 13:08:38.463 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 422/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 1:02:58
2025-11-12 13:08:39.396 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:08:39.467 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch423
2025-11-12 13:08:41.306 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 423/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.3, l1_loss: 1.2, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:02:52
2025-11-12 13:08:43.244 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 423/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 1:02:48
2025-11-12 13:08:45.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 423/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 1:02:44
2025-11-12 13:08:46.888 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 423/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 1:02:40
2025-11-12 13:08:48.791 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 423/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.3, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 2.1, cls_loss: 0.8, lr: 5.000e-04, size: 448, ETA: 1:02:36
2025-11-12 13:08:50.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 423/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 1:02:33
2025-11-12 13:08:51.597 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:08:51.629 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch424
2025-11-12 13:08:53.574 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 424/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 1:02:27
2025-11-12 13:08:55.311 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 424/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:02:23
2025-11-12 13:08:57.132 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 424/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 1:02:19
2025-11-12 13:08:59.020 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 424/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 1:02:15
2025-11-12 13:09:00.913 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 424/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 1:02:11
2025-11-12 13:09:02.786 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 424/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:02:07
2025-11-12 13:09:03.614 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:09:03.651 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch425
2025-11-12 13:09:05.546 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 425/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:02:02
2025-11-12 13:09:07.466 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 425/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 1:01:58
2025-11-12 13:09:09.355 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 425/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 1.1, conf_loss: 2.1, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 1:01:54
2025-11-12 13:09:11.254 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 425/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:01:50
2025-11-12 13:09:13.056 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 425/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 1:01:46
2025-11-12 13:09:14.907 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 425/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.4, iou_loss: 1.4, l1_loss: 0.4, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 1:01:42
2025-11-12 13:09:15.762 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:09:20.650 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:09:21.481 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:09:22.321 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6353
2025-11-12 13:09:22.449 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5705
2025-11-12 13:09:22.493 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4519
2025-11-12 13:09:22.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5525
2025-11-12 13:09:22.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:09:22.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:09:22.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.635
2025-11-12 13:09:22.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.570
2025-11-12 13:09:22.494 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.452
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.553
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:09:22.495 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:09:23.091 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:09:23.681 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:09:24.306 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:09:24.891 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:09:25.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:09:26.075 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:09:26.666 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:09:27.294 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:09:27.881 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:09:27.881 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:09:27.882 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:09:27.882 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:09:27.888 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.72 ms, Average inference time: 1.33 ms

2025-11-12 13:09:27.889 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:09:27.911 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:09:27.938 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch426
2025-11-12 13:09:29.731 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 426/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:01:37
2025-11-12 13:09:31.480 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 426/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:01:33
2025-11-12 13:09:33.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 426/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 1:01:29
2025-11-12 13:09:35.205 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 426/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:01:25
2025-11-12 13:09:37.189 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 426/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 1:01:21
2025-11-12 13:09:39.318 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 426/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.106s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 1:01:18
2025-11-12 13:09:40.319 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:09:40.363 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch427
2025-11-12 13:09:42.383 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 427/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 1:01:12
2025-11-12 13:09:44.363 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 427/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 1:01:08
2025-11-12 13:09:46.190 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 427/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 1:01:04
2025-11-12 13:09:47.987 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 427/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 1:01:01
2025-11-12 13:09:49.929 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 427/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 7.9, iou_loss: 2.7, l1_loss: 1.0, conf_loss: 3.3, cls_loss: 0.9, lr: 5.000e-04, size: 384, ETA: 1:00:57
2025-11-12 13:09:51.696 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 427/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:00:53
2025-11-12 13:09:52.546 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:09:52.579 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch428
2025-11-12 13:09:54.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 428/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 1:00:47
2025-11-12 13:09:56.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 428/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:00:43
2025-11-12 13:09:58.095 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 428/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 1:00:39
2025-11-12 13:09:59.849 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 428/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 1:00:35
2025-11-12 13:10:01.677 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 428/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.8, lr: 5.000e-04, size: 480, ETA: 1:00:32
2025-11-12 13:10:03.425 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 428/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 1:00:28
2025-11-12 13:10:04.250 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:10:04.299 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch429
2025-11-12 13:10:06.184 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 429/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 1:00:22
2025-11-12 13:10:08.010 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 429/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 1:00:18
2025-11-12 13:10:09.872 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 429/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.6, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 1:00:14
2025-11-12 13:10:11.628 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 429/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 1:00:11
2025-11-12 13:10:13.440 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 429/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.001s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 1:00:07
2025-11-12 13:10:15.187 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 429/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 1:00:03
2025-11-12 13:10:16.083 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:10:16.116 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch430
2025-11-12 13:10:18.003 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 430/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 7.0, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 3.1, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:59:57
2025-11-12 13:10:19.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 430/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:59:53
2025-11-12 13:10:21.553 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 430/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.083s, data_time: 0.003s, total_loss: 4.7, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:59:50
2025-11-12 13:10:23.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 430/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:59:46
2025-11-12 13:10:25.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 430/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:59:42
2025-11-12 13:10:27.097 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 430/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:59:38
2025-11-12 13:10:27.966 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:10:32.771 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:10:33.676 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:10:34.230 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6413
2025-11-12 13:10:34.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5831
2025-11-12 13:10:34.434 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4306
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5517
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.641
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.583
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.431
2025-11-12 13:10:34.435 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.552
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:10:34.436 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:10:34.437 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:10:35.147 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:10:35.865 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:10:36.622 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:10:37.327 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:10:38.036 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:10:38.776 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:10:39.482 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:10:40.217 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:10:40.921 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:10:40.921 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:10:40.921 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:10:40.921 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:10:40.928 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.68 ms, Average inference time: 1.31 ms

2025-11-12 13:10:40.931 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:10:40.953 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:10:40.987 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch431
2025-11-12 13:10:42.776 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 431/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:59:32
2025-11-12 13:10:44.573 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 431/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:59:29
2025-11-12 13:10:46.271 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 431/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:59:25
2025-11-12 13:10:48.039 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 431/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:59:21
2025-11-12 13:10:49.808 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 431/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:59:17
2025-11-12 13:10:51.764 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 431/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 1.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:59:13
2025-11-12 13:10:52.641 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:10:52.671 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch432
2025-11-12 13:10:54.557 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 432/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.4, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:59:08
2025-11-12 13:10:56.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 432/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:59:04
2025-11-12 13:10:58.378 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 432/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:59:00
2025-11-12 13:11:00.313 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 432/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.6, iou_loss: 1.4, l1_loss: 0.6, conf_loss: 3.1, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:58:56
2025-11-12 13:11:02.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 432/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:58:53
2025-11-12 13:11:04.144 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 432/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:58:49
2025-11-12 13:11:04.894 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:11:04.933 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch433
2025-11-12 13:11:06.741 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 433/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:58:43
2025-11-12 13:11:08.579 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 433/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:58:39
2025-11-12 13:11:10.369 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 433/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:58:36
2025-11-12 13:11:12.078 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 433/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.080s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:58:32
2025-11-12 13:11:13.908 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 433/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:58:28
2025-11-12 13:11:15.859 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 433/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:58:24
2025-11-12 13:11:16.690 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:11:16.721 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch434
2025-11-12 13:11:18.421 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 434/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 3.2, iou_loss: 1.4, l1_loss: 0.4, conf_loss: 0.9, cls_loss: 0.4, lr: 5.000e-04, size: 256, ETA: 0:58:18
2025-11-12 13:11:20.309 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 434/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:58:15
2025-11-12 13:11:22.103 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 434/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:58:11
2025-11-12 13:11:23.888 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 434/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:58:07
2025-11-12 13:11:25.803 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 434/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:58:03
2025-11-12 13:11:27.571 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 434/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:57:59
2025-11-12 13:11:28.386 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:11:28.431 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch435
2025-11-12 13:11:30.709 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 435/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.108s, data_time: 0.004s, total_loss: 4.0, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:57:54
2025-11-12 13:11:32.765 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 435/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.100s, data_time: 0.003s, total_loss: 5.7, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:57:50
2025-11-12 13:11:34.591 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 435/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:57:47
2025-11-12 13:11:36.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 435/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.3, l1_loss: 1.2, conf_loss: 2.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:57:43
2025-11-12 13:11:38.316 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 435/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:57:39
2025-11-12 13:11:40.036 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 435/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:57:35
2025-11-12 13:11:40.875 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:11:45.640 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:11:46.559 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:11:47.172 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6381
2025-11-12 13:11:47.284 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5725
2025-11-12 13:11:47.360 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4639
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5582
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.638
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.572
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.464
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.558
2025-11-12 13:11:47.361 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:11:47.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:11:48.114 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:11:48.896 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:11:49.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:11:50.387 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:11:51.165 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:11:51.901 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:11:52.677 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:11:53.420 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:11:54.175 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:11:54.176 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:11:54.176 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:11:54.176 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:11:54.183 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.69 ms, Average inference time: 1.33 ms

2025-11-12 13:11:54.184 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:11:54.206 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:11:54.234 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch436
2025-11-12 13:11:56.027 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 436/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:57:30
2025-11-12 13:11:57.862 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 436/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:57:26
2025-11-12 13:11:59.702 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 436/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:57:22
2025-11-12 13:12:01.521 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 436/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.004s, total_loss: 5.3, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:57:18
2025-11-12 13:12:03.458 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 436/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:57:14
2025-11-12 13:12:05.203 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 436/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.3, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.4, lr: 5.000e-04, size: 448, ETA: 0:57:11
2025-11-12 13:12:06.120 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:12:06.146 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch437
2025-11-12 13:12:07.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 437/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 7.2, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 3.4, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:57:05
2025-11-12 13:12:09.861 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 437/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:57:01
2025-11-12 13:12:11.736 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 437/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:56:58
2025-11-12 13:12:13.519 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 437/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:56:54
2025-11-12 13:12:15.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 437/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:56:50
2025-11-12 13:12:17.313 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 437/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:56:46
2025-11-12 13:12:18.215 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:12:18.250 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch438
2025-11-12 13:12:20.112 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 438/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:56:41
2025-11-12 13:12:22.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 438/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:56:37
2025-11-12 13:12:23.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 438/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:56:33
2025-11-12 13:12:25.723 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 438/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:56:30
2025-11-12 13:12:27.560 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 438/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:56:26
2025-11-12 13:12:29.421 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 438/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:56:22
2025-11-12 13:12:30.300 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:12:30.332 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch439
2025-11-12 13:12:32.112 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 439/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.0, l1_loss: 1.2, conf_loss: 2.0, cls_loss: 1.0, lr: 5.000e-04, size: 576, ETA: 0:56:17
2025-11-12 13:12:34.174 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 439/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.102s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:56:13
2025-11-12 13:12:36.314 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 439/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.105s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:56:09
2025-11-12 13:12:38.106 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 439/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:56:05
2025-11-12 13:12:39.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 439/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:56:02
2025-11-12 13:12:41.801 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 439/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:55:58
2025-11-12 13:12:42.643 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:12:42.673 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch440
2025-11-12 13:12:44.411 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 440/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 3.5, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:55:52
2025-11-12 13:12:46.400 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 440/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.5, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:55:49
2025-11-12 13:12:48.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 440/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:55:45
2025-11-12 13:12:49.977 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 440/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:55:41
2025-11-12 13:12:51.696 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 440/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:55:37
2025-11-12 13:12:53.575 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 440/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:55:34
2025-11-12 13:12:54.482 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:12:59.386 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:13:00.072 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:13:00.476 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6286
2025-11-12 13:13:00.556 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5647
2025-11-12 13:13:00.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3983
2025-11-12 13:13:00.638 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5305
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.629
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.565
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.398
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.531
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:13:00.639 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:13:00.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:13:00.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:13:00.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:13:00.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:13:00.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:13:00.640 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:13:01.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:13:01.717 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:13:02.253 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:13:02.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:13:03.347 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:13:03.877 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:13:04.411 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:13:04.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:13:05.491 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:13:05.492 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 13:13:05.492 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 13:13:05.492 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:13:05.499 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.66 ms, Average inference time: 1.32 ms

2025-11-12 13:13:05.500 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:13:05.522 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:13:05.550 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch441
2025-11-12 13:13:07.496 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 441/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:55:28
2025-11-12 13:13:09.405 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 441/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:55:25
2025-11-12 13:13:11.262 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 441/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:55:21
2025-11-12 13:13:13.161 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 441/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:55:17
2025-11-12 13:13:14.859 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 441/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:55:13
2025-11-12 13:13:16.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 441/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:55:09
2025-11-12 13:13:17.404 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:13:17.433 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch442
2025-11-12 13:13:19.235 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 442/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:55:04
2025-11-12 13:13:21.052 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 442/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.3, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:55:00
2025-11-12 13:13:22.878 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 442/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:54:57
2025-11-12 13:13:24.697 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 442/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:54:53
2025-11-12 13:13:26.418 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 442/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:54:49
2025-11-12 13:13:28.362 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 442/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:54:45
2025-11-12 13:13:29.184 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:13:29.220 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch443
2025-11-12 13:13:30.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 443/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.080s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:54:40
2025-11-12 13:13:32.799 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 443/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.8, cls_loss: 0.8, lr: 5.000e-04, size: 384, ETA: 0:54:36
2025-11-12 13:13:34.720 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 443/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 7.1, iou_loss: 2.4, l1_loss: 1.2, conf_loss: 2.9, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:54:32
2025-11-12 13:13:36.524 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 443/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:54:29
2025-11-12 13:13:38.375 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 443/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 2.1, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:54:25
2025-11-12 13:13:40.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 443/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.005s, total_loss: 5.0, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:54:21
2025-11-12 13:13:41.076 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:13:41.104 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch444
2025-11-12 13:13:42.974 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 444/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:54:16
2025-11-12 13:13:44.776 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 444/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:54:12
2025-11-12 13:13:46.619 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 444/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:54:08
2025-11-12 13:13:48.431 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 444/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:54:05
2025-11-12 13:13:50.231 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 444/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:54:01
2025-11-12 13:13:52.193 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 444/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 1.2, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:53:57
2025-11-12 13:13:53.054 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:13:53.084 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch445
2025-11-12 13:13:54.890 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 445/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:53:52
2025-11-12 13:13:56.765 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 445/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:53:48
2025-11-12 13:13:58.570 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 445/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:53:45
2025-11-12 13:14:00.652 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 445/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:53:41
2025-11-12 13:14:02.437 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 445/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:53:37
2025-11-12 13:14:04.426 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 445/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 1.2, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:53:33
2025-11-12 13:14:05.246 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:14:09.999 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:14:11.173 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:14:11.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6391
2025-11-12 13:14:11.955 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5766
2025-11-12 13:14:12.006 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4239
2025-11-12 13:14:12.007 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5465
2025-11-12 13:14:12.007 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:14:12.007 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:14:12.007 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.639
2025-11-12 13:14:12.007 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.577
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.424
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.547
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:14:12.008 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:14:12.009 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:14:12.009 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:14:12.009 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:14:12.798 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:14:13.581 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:14:14.416 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:14:15.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:14:15.991 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:14:16.807 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:14:17.597 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:14:18.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:14:19.215 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:14:19.216 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:14:19.216 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:14:19.216 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:14:19.222 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.68 ms, Average inference time: 1.31 ms

2025-11-12 13:14:19.223 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:14:19.249 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:14:19.279 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch446
2025-11-12 13:14:21.095 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 446/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:53:28
2025-11-12 13:14:22.834 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 446/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:53:24
2025-11-12 13:14:24.782 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 446/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 3.0, iou_loss: 1.0, l1_loss: 0.4, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:53:21
2025-11-12 13:14:26.731 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 446/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:53:17
2025-11-12 13:14:28.600 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 446/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:53:13
2025-11-12 13:14:30.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 446/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:53:10
2025-11-12 13:14:31.255 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:14:31.284 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch447
2025-11-12 13:14:33.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 447/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:53:04
2025-11-12 13:14:35.073 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 447/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:53:01
2025-11-12 13:14:36.909 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 447/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:52:57
2025-11-12 13:14:38.709 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 447/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:52:53
2025-11-12 13:14:40.570 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 447/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:52:49
2025-11-12 13:14:42.374 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 447/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:52:46
2025-11-12 13:14:43.211 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:14:43.240 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch448
2025-11-12 13:14:45.044 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 448/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:52:40
2025-11-12 13:14:46.866 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 448/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:52:37
2025-11-12 13:14:48.640 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 448/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:52:33
2025-11-12 13:14:50.404 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 448/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:52:29
2025-11-12 13:14:52.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 448/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 7.4, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 3.2, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:52:26
2025-11-12 13:14:54.125 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 448/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:52:22
2025-11-12 13:14:54.950 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:14:54.986 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch449
2025-11-12 13:14:56.873 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 449/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:52:17
2025-11-12 13:14:58.561 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 449/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:52:13
2025-11-12 13:15:00.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 449/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:52:09
2025-11-12 13:15:02.199 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 449/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:52:06
2025-11-12 13:15:04.008 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 449/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:52:02
2025-11-12 13:15:05.870 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 449/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.1, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:51:58
2025-11-12 13:15:06.761 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:15:06.794 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch450
2025-11-12 13:15:08.517 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 450/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:51:53
2025-11-12 13:15:10.237 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 450/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:51:49
2025-11-12 13:15:12.133 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 450/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:51:45
2025-11-12 13:15:13.916 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 450/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:51:42
2025-11-12 13:15:15.739 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 450/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:51:38
2025-11-12 13:15:17.563 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 450/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:51:34
2025-11-12 13:15:18.390 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:15:23.095 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:15:23.934 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:15:24.474 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6514
2025-11-12 13:15:24.586 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5700
2025-11-12 13:15:24.622 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4490
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5568
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.651
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.570
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.449
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.557
2025-11-12 13:15:24.623 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:15:24.624 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:15:25.328 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:15:25.993 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:15:26.663 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:15:27.359 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:15:28.020 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:15:28.684 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:15:29.378 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:15:30.038 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:15:30.704 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:15:30.705 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:15:30.705 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:15:30.705 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:15:30.711 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.69 ms, Average inference time: 1.32 ms

2025-11-12 13:15:30.713 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:15:30.735 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:15:30.762 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch451
2025-11-12 13:15:32.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 451/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:51:29
2025-11-12 13:15:34.278 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 451/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:51:25
2025-11-12 13:15:36.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 451/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:51:22
2025-11-12 13:15:38.074 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 451/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:51:18
2025-11-12 13:15:39.977 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 451/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:51:14
2025-11-12 13:15:41.815 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 451/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:51:11
2025-11-12 13:15:42.631 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:15:42.670 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch452
2025-11-12 13:15:44.439 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 452/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 1.0, lr: 5.000e-04, size: 288, ETA: 0:51:06
2025-11-12 13:15:46.217 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 452/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:51:02
2025-11-12 13:15:48.094 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 452/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 384, ETA: 0:50:58
2025-11-12 13:15:49.930 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 452/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:50:55
2025-11-12 13:15:51.766 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 452/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.1, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:50:51
2025-11-12 13:15:53.574 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 452/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:50:47
2025-11-12 13:15:54.362 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:15:54.400 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch453
2025-11-12 13:15:56.317 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 453/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:50:42
2025-11-12 13:15:58.303 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 453/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:50:38
2025-11-12 13:16:00.198 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 453/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:50:35
2025-11-12 13:16:02.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 453/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:50:31
2025-11-12 13:16:03.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 453/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:50:27
2025-11-12 13:16:05.799 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 453/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.004s, total_loss: 6.9, iou_loss: 2.5, l1_loss: 1.1, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:50:24
2025-11-12 13:16:06.659 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:16:06.691 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch454
2025-11-12 13:16:08.543 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 454/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 3.5, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:50:19
2025-11-12 13:16:10.314 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 454/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 3.4, iou_loss: 1.4, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.4, lr: 5.000e-04, size: 352, ETA: 0:50:15
2025-11-12 13:16:12.281 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 454/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:50:11
2025-11-12 13:16:13.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 454/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:50:08
2025-11-12 13:16:15.654 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 454/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:50:04
2025-11-12 13:16:17.495 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 454/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 4.0, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:50:00
2025-11-12 13:16:18.325 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:16:18.356 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch455
2025-11-12 13:16:20.232 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 455/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:49:55
2025-11-12 13:16:22.186 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 455/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:49:52
2025-11-12 13:16:23.960 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 455/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:49:48
2025-11-12 13:16:25.827 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 455/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:49:44
2025-11-12 13:16:27.626 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 455/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:49:41
2025-11-12 13:16:29.545 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 455/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.3, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:49:37
2025-11-12 13:16:30.341 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:16:35.156 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:16:35.915 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:16:36.397 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6362
2025-11-12 13:16:36.497 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5783
2025-11-12 13:16:36.564 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3810
2025-11-12 13:16:36.565 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5318
2025-11-12 13:16:36.565 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:16:36.565 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.636
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.578
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.381
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.532
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:16:36.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:16:36.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:16:36.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:16:36.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:16:36.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:16:36.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:16:37.168 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:16:37.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:16:38.389 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:16:39.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:16:39.619 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:16:40.225 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:16:40.827 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:16:41.455 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:16:42.051 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:16:42.052 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:16:42.052 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 13:16:42.052 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:16:42.058 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.65 ms, Average inference time: 1.28 ms

2025-11-12 13:16:42.058 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:16:42.080 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:16:42.107 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch456
2025-11-12 13:16:43.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 456/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:49:32
2025-11-12 13:16:45.828 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 456/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.4, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:49:28
2025-11-12 13:16:47.692 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 456/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:49:25
2025-11-12 13:16:49.449 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 456/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 2.3, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:49:21
2025-11-12 13:16:51.277 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 456/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 1.2, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:49:17
2025-11-12 13:16:53.288 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 456/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:49:14
2025-11-12 13:16:54.080 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:16:54.135 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch457
2025-11-12 13:16:55.923 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 457/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:49:08
2025-11-12 13:16:57.724 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 457/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 3.3, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:49:05
2025-11-12 13:16:59.558 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 457/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:49:01
2025-11-12 13:17:01.390 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 457/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:48:58
2025-11-12 13:17:03.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 457/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:48:54
2025-11-12 13:17:05.078 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 457/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:48:50
2025-11-12 13:17:05.891 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:17:05.922 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch458
2025-11-12 13:17:07.779 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 458/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:48:45
2025-11-12 13:17:09.487 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 458/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:48:41
2025-11-12 13:17:11.276 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 458/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:48:38
2025-11-12 13:17:13.145 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 458/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:48:34
2025-11-12 13:17:15.057 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 458/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.6, l1_loss: 0.4, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:48:31
2025-11-12 13:17:16.854 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 458/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:48:27
2025-11-12 13:17:17.679 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:17:17.708 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch459
2025-11-12 13:17:19.486 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 459/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.8, lr: 5.000e-04, size: 384, ETA: 0:48:22
2025-11-12 13:17:21.176 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 459/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:48:18
2025-11-12 13:17:22.852 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 459/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:48:15
2025-11-12 13:17:24.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 459/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:48:11
2025-11-12 13:17:26.524 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 459/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:48:07
2025-11-12 13:17:28.520 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 459/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 5.6, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:48:04
2025-11-12 13:17:29.245 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:17:29.272 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch460
2025-11-12 13:17:30.930 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 460/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:47:59
2025-11-12 13:17:32.685 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 460/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:47:55
2025-11-12 13:17:34.666 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 460/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:47:51
2025-11-12 13:17:36.779 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 460/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.104s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:47:48
2025-11-12 13:17:38.560 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 460/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 7.5, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 3.2, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:47:44
2025-11-12 13:17:40.408 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 460/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.004s, total_loss: 7.1, iou_loss: 2.8, l1_loss: 1.0, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:47:41
2025-11-12 13:17:41.173 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:17:45.915 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:17:47.015 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:17:47.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6518
2025-11-12 13:17:47.926 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5783
2025-11-12 13:17:47.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4381
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5560
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.652
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.578
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.438
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.556
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:17:47.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:17:47.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:17:48.883 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:17:49.816 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:17:50.752 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:17:51.644 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:17:52.571 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:17:53.476 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:17:54.401 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:17:55.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:17:56.225 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:17:56.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:17:56.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:17:56.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:17:56.232 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.69 ms, Average inference time: 1.33 ms

2025-11-12 13:17:56.233 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:17:56.257 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:17:56.286 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch461
2025-11-12 13:17:58.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 461/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:47:35
2025-11-12 13:18:00.003 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 461/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:47:32
2025-11-12 13:18:01.753 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 461/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:47:28
2025-11-12 13:18:03.593 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 461/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:47:25
2025-11-12 13:18:05.525 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 461/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:47:21
2025-11-12 13:18:07.383 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 461/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:47:18
2025-11-12 13:18:08.172 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:18:08.199 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch462
2025-11-12 13:18:10.114 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 462/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:47:12
2025-11-12 13:18:11.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 462/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:47:09
2025-11-12 13:18:14.019 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 462/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:47:05
2025-11-12 13:18:15.863 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 462/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.9, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:47:02
2025-11-12 13:18:17.692 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 462/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:46:58
2025-11-12 13:18:19.541 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 462/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.004s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:46:55
2025-11-12 13:18:20.432 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:18:20.464 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch463
2025-11-12 13:18:22.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 463/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:46:49
2025-11-12 13:18:24.179 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 463/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:46:46
2025-11-12 13:18:25.935 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 463/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 8.3, iou_loss: 2.9, l1_loss: 1.0, conf_loss: 3.6, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:46:42
2025-11-12 13:18:27.785 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 463/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:46:39
2025-11-12 13:18:29.537 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 463/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:46:35
2025-11-12 13:18:31.463 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 463/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:46:32
2025-11-12 13:18:32.251 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:18:32.283 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch464
2025-11-12 13:18:34.052 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 464/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:46:26
2025-11-12 13:18:35.906 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 464/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:46:23
2025-11-12 13:18:37.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 464/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:46:19
2025-11-12 13:18:39.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 464/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:46:16
2025-11-12 13:18:41.764 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 464/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:46:12
2025-11-12 13:18:43.643 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 464/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.6, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:46:09
2025-11-12 13:18:44.458 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:18:44.487 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch465
2025-11-12 13:18:46.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 465/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:46:04
2025-11-12 13:18:48.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 465/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:46:00
2025-11-12 13:18:49.958 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 465/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.4, l1_loss: 1.2, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:45:56
2025-11-12 13:18:51.875 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 465/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:45:53
2025-11-12 13:18:53.722 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 465/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:45:49
2025-11-12 13:18:55.605 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 465/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.004s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:45:46
2025-11-12 13:18:56.416 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:01.160 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:19:02.116 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:19:02.720 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6483
2025-11-12 13:19:02.843 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5792
2025-11-12 13:19:02.919 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4341
2025-11-12 13:19:02.919 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5539
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.648
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.579
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.434
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.554
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:19:02.920 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:19:02.921 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:19:02.921 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:19:02.921 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:19:02.921 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:19:02.921 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:19:04.224 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:19:05.028 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:19:05.798 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:19:06.563 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:19:07.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:19:08.122 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:19:08.912 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:19:09.664 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:19:10.414 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:19:10.414 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:19:10.414 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:19:10.415 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:19:10.421 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.69 ms, Average inference time: 1.35 ms

2025-11-12 13:19:10.422 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:10.444 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:10.506 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch466
2025-11-12 13:19:12.313 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 466/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:45:41
2025-11-12 13:19:14.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 466/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:45:37
2025-11-12 13:19:16.099 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 466/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:45:34
2025-11-12 13:19:17.922 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 466/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:45:30
2025-11-12 13:19:19.718 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 466/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:45:27
2025-11-12 13:19:21.549 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 466/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:45:23
2025-11-12 13:19:22.346 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:22.378 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch467
2025-11-12 13:19:24.450 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 467/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:45:18
2025-11-12 13:19:26.295 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 467/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:45:14
2025-11-12 13:19:28.131 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 467/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:45:11
2025-11-12 13:19:30.010 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 467/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:45:07
2025-11-12 13:19:31.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 467/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 8.2, iou_loss: 2.8, l1_loss: 0.9, conf_loss: 3.6, cls_loss: 1.0, lr: 5.000e-04, size: 320, ETA: 0:45:04
2025-11-12 13:19:33.919 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 467/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.003s, total_loss: 7.0, iou_loss: 2.7, l1_loss: 1.1, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:45:00
2025-11-12 13:19:34.752 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:34.787 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch468
2025-11-12 13:19:36.572 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 468/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.3, iou_loss: 1.9, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:44:55
2025-11-12 13:19:38.446 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 468/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:44:52
2025-11-12 13:19:40.335 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 468/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.9, lr: 5.000e-04, size: 512, ETA: 0:44:48
2025-11-12 13:19:42.121 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 468/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:44:45
2025-11-12 13:19:43.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 468/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 7.5, iou_loss: 2.6, l1_loss: 1.1, conf_loss: 3.0, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:44:41
2025-11-12 13:19:45.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 468/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 6.9, iou_loss: 2.6, l1_loss: 1.2, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:44:38
2025-11-12 13:19:46.600 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:46.655 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch469
2025-11-12 13:19:48.541 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 469/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:44:32
2025-11-12 13:19:50.554 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 469/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:44:29
2025-11-12 13:19:52.276 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 469/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:44:25
2025-11-12 13:19:54.099 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 469/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.7, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:44:22
2025-11-12 13:19:55.954 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 469/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 8.8, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 4.1, cls_loss: 1.0, lr: 5.000e-04, size: 416, ETA: 0:44:18
2025-11-12 13:19:57.677 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 469/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 7.8, iou_loss: 2.8, l1_loss: 1.0, conf_loss: 3.3, cls_loss: 0.8, lr: 5.000e-04, size: 448, ETA: 0:44:15
2025-11-12 13:19:58.478 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:19:58.522 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch470
2025-11-12 13:20:00.416 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 470/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:44:10
2025-11-12 13:20:02.323 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 470/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:44:06
2025-11-12 13:20:04.233 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 470/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:44:03
2025-11-12 13:20:06.077 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 470/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 1.0, lr: 5.000e-04, size: 320, ETA: 0:43:59
2025-11-12 13:20:08.081 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 470/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:43:56
2025-11-12 13:20:09.797 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 470/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:43:52
2025-11-12 13:20:10.621 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:20:15.492 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:20:16.474 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:20:17.109 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6400
2025-11-12 13:20:17.234 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5695
2025-11-12 13:20:17.294 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4298
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5464
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.640
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.569
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.430
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.546
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:20:17.295 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:20:17.296 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:20:17.296 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:20:17.296 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:20:17.296 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:20:17.296 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:20:17.296 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:20:18.110 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:20:18.880 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:20:19.684 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:20:20.449 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:20:21.222 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:20:22.025 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:20:22.799 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:20:23.619 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:20:24.382 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:20:24.382 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:20:24.382 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:20:24.382 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:20:24.389 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.69 ms, Average inference time: 1.37 ms

2025-11-12 13:20:24.390 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:20:24.412 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:20:24.440 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch471
2025-11-12 13:20:26.304 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 471/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:43:47
2025-11-12 13:20:28.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 471/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.6, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:43:44
2025-11-12 13:20:29.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 471/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:43:40
2025-11-12 13:20:31.827 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 471/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:43:37
2025-11-12 13:20:33.635 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 471/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:43:33
2025-11-12 13:20:35.596 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 471/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:43:30
2025-11-12 13:20:36.479 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:20:36.511 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch472
2025-11-12 13:20:38.412 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 472/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:43:25
2025-11-12 13:20:40.358 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 472/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:43:21
2025-11-12 13:20:42.209 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 472/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:43:18
2025-11-12 13:20:44.231 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 472/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:43:14
2025-11-12 13:20:46.018 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 472/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:43:11
2025-11-12 13:20:47.960 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 472/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.004s, total_loss: 6.6, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:43:07
2025-11-12 13:20:48.825 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:20:48.855 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch473
2025-11-12 13:20:50.740 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 473/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:43:02
2025-11-12 13:20:52.636 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 473/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:42:59
2025-11-12 13:20:54.543 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 473/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:42:55
2025-11-12 13:20:56.302 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 473/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:42:52
2025-11-12 13:20:58.198 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 473/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:42:48
2025-11-12 13:21:00.077 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 473/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 5.1, iou_loss: 1.7, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:42:45
2025-11-12 13:21:00.898 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:21:00.939 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch474
2025-11-12 13:21:02.745 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 474/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.9, conf_loss: 2.8, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:42:40
2025-11-12 13:21:04.568 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 474/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:42:36
2025-11-12 13:21:06.296 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 474/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:42:33
2025-11-12 13:21:08.212 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 474/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:42:29
2025-11-12 13:21:10.123 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 474/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.005s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:42:26
2025-11-12 13:21:12.011 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 474/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:42:22
2025-11-12 13:21:12.818 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:21:12.868 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch475
2025-11-12 13:21:14.827 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 475/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.6, l1_loss: 0.7, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:42:17
2025-11-12 13:21:16.631 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 475/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:42:14
2025-11-12 13:21:18.440 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 475/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:42:10
2025-11-12 13:21:20.204 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 475/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:42:07
2025-11-12 13:21:22.017 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 475/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:42:03
2025-11-12 13:21:23.742 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 475/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:42:00
2025-11-12 13:21:24.596 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:21:29.347 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:21:30.202 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:21:30.750 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6400
2025-11-12 13:21:30.904 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5828
2025-11-12 13:21:30.943 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4422
2025-11-12 13:21:30.943 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5550
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.640
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.583
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.442
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.555
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:21:30.944 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:21:30.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:21:30.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:21:30.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:21:30.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:21:30.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:21:31.627 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:21:32.315 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:21:33.041 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:21:33.727 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:21:34.410 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:21:35.134 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:21:35.824 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:21:36.504 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:21:37.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:21:37.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.32
2025-11-12 13:21:37.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:21:37.226 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:21:37.232 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.68 ms, Average inference time: 1.30 ms

2025-11-12 13:21:37.234 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:21:37.257 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:21:37.285 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch476
2025-11-12 13:21:39.100 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 476/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.8, l1_loss: 0.4, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:41:55
2025-11-12 13:21:41.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 476/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:41:51
2025-11-12 13:21:43.055 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 476/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 7.7, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 3.3, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:41:48
2025-11-12 13:21:44.939 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 476/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:41:44
2025-11-12 13:21:46.841 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 476/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 480, ETA: 0:41:41
2025-11-12 13:21:48.691 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 476/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:41:37
2025-11-12 13:21:49.459 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:21:49.490 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch477
2025-11-12 13:21:51.361 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 477/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:41:32
2025-11-12 13:21:53.275 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 477/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:41:29
2025-11-12 13:21:55.071 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 477/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:41:25
2025-11-12 13:21:56.939 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 477/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:41:22
2025-11-12 13:21:59.022 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 477/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.100s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:41:19
2025-11-12 13:22:00.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 477/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:41:15
2025-11-12 13:22:01.807 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:22:01.837 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch478
2025-11-12 13:22:03.731 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 478/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:41:10
2025-11-12 13:22:05.719 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 478/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 1.0, lr: 5.000e-04, size: 352, ETA: 0:41:07
2025-11-12 13:22:07.482 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 478/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:41:03
2025-11-12 13:22:09.399 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 478/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:41:00
2025-11-12 13:22:11.231 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 478/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:40:56
2025-11-12 13:22:13.025 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 478/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:40:53
2025-11-12 13:22:13.894 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:22:13.956 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch479
2025-11-12 13:22:15.879 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 479/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:40:48
2025-11-12 13:22:17.843 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 479/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:40:44
2025-11-12 13:22:19.547 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 479/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:40:41
2025-11-12 13:22:21.246 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 479/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:40:37
2025-11-12 13:22:23.109 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 479/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:40:34
2025-11-12 13:22:24.908 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 479/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:40:31
2025-11-12 13:22:25.707 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:22:25.741 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch480
2025-11-12 13:22:27.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 480/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:40:26
2025-11-12 13:22:29.222 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 480/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:40:22
2025-11-12 13:22:31.088 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 480/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 1.0, lr: 5.000e-04, size: 320, ETA: 0:40:19
2025-11-12 13:22:32.983 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 480/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:40:15
2025-11-12 13:22:34.834 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 480/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:40:12
2025-11-12 13:22:36.616 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 480/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:40:08
2025-11-12 13:22:37.328 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:22:42.039 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:22:42.955 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:22:43.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6429
2025-11-12 13:22:43.643 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5972
2025-11-12 13:22:43.732 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4465
2025-11-12 13:22:43.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5622
2025-11-12 13:22:43.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:22:43.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:22:43.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.643
2025-11-12 13:22:43.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.597
2025-11-12 13:22:43.733 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.447
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.562
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:22:43.734 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:22:43.735 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:22:43.735 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:22:44.477 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:22:45.192 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:22:45.933 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:22:46.651 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:22:47.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:22:48.107 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:22:48.822 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:22:49.562 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:22:50.269 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:22:50.269 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:22:50.270 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:22:50.270 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:22:50.276 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.73 ms, Average inference time: 1.39 ms

2025-11-12 13:22:50.277 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:22:50.299 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:22:50.327 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch481
2025-11-12 13:22:52.008 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 481/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.001s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.9, lr: 5.000e-04, size: 288, ETA: 0:40:03
2025-11-12 13:22:53.984 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 481/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:40:00
2025-11-12 13:22:55.792 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 481/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:39:56
2025-11-12 13:22:57.661 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 481/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:39:53
2025-11-12 13:22:59.497 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 481/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:39:50
2025-11-12 13:23:01.290 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 481/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:39:46
2025-11-12 13:23:02.082 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:23:02.112 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch482
2025-11-12 13:23:03.971 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 482/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:39:41
2025-11-12 13:23:05.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 482/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:39:38
2025-11-12 13:23:07.629 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 482/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.001s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:39:34
2025-11-12 13:23:09.465 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 482/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:39:31
2025-11-12 13:23:11.405 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 482/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:39:27
2025-11-12 13:23:13.260 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 482/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.8, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:39:24
2025-11-12 13:23:14.069 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:23:14.101 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch483
2025-11-12 13:23:15.955 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 483/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:39:19
2025-11-12 13:23:17.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 483/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:39:16
2025-11-12 13:23:19.620 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 483/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:39:12
2025-11-12 13:23:21.452 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 483/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:39:09
2025-11-12 13:23:23.289 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 483/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 2.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:39:05
2025-11-12 13:23:25.118 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 483/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:39:02
2025-11-12 13:23:25.951 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:23:25.980 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch484
2025-11-12 13:23:27.862 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 484/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 4.1, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:38:57
2025-11-12 13:23:29.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 484/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:38:54
2025-11-12 13:23:31.608 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 484/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.5, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:38:50
2025-11-12 13:23:33.571 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 484/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 2.9, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:38:47
2025-11-12 13:23:35.439 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 484/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.005s, total_loss: 7.2, iou_loss: 2.9, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 1.0, lr: 5.000e-04, size: 320, ETA: 0:38:43
2025-11-12 13:23:37.313 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 484/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:38:40
2025-11-12 13:23:38.118 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:23:38.185 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch485
2025-11-12 13:23:39.978 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 485/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:38:35
2025-11-12 13:23:41.888 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 485/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 6.8, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:38:32
2025-11-12 13:23:43.736 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 485/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:38:28
2025-11-12 13:23:45.462 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 485/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 4.3, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:38:25
2025-11-12 13:23:47.192 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 485/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:38:21
2025-11-12 13:23:48.934 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 485/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.3, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:38:18
2025-11-12 13:23:49.823 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:23:54.601 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:23:55.578 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:23:56.111 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6445
2025-11-12 13:23:56.225 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5596
2025-11-12 13:23:56.300 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4577
2025-11-12 13:23:56.300 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5539
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.645
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.560
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.458
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.554
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:23:56.301 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:23:56.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:23:56.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:23:56.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:23:56.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:23:56.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:23:56.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:23:56.980 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:23:57.656 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:23:58.360 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:23:59.056 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:23:59.717 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:24:00.411 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:24:01.091 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:24:01.755 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:24:02.455 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:24:02.455 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:24:02.455 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:24:02.455 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:24:02.462 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.72 ms, Average inference time: 1.37 ms

2025-11-12 13:24:02.463 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:24:02.485 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:24:02.512 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch486
2025-11-12 13:24:04.508 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 486/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:38:13
2025-11-12 13:24:06.261 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 486/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:38:10
2025-11-12 13:24:08.161 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 486/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 3.0, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:38:06
2025-11-12 13:24:10.082 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 486/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:38:03
2025-11-12 13:24:12.032 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 486/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:37:59
2025-11-12 13:24:14.003 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 486/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:37:56
2025-11-12 13:24:14.850 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:24:14.889 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch487
2025-11-12 13:24:16.868 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 487/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:37:51
2025-11-12 13:24:18.729 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 487/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.004s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:37:48
2025-11-12 13:24:20.543 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 487/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:37:44
2025-11-12 13:24:22.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 487/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:37:41
2025-11-12 13:24:24.116 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 487/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:37:38
2025-11-12 13:24:25.831 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 487/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:37:34
2025-11-12 13:24:26.591 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:24:26.661 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch488
2025-11-12 13:24:28.424 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 488/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:37:29
2025-11-12 13:24:30.290 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 488/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:37:26
2025-11-12 13:24:32.145 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 488/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.5, cls_loss: 0.9, lr: 5.000e-04, size: 480, ETA: 0:37:22
2025-11-12 13:24:33.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 488/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:37:19
2025-11-12 13:24:35.829 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 488/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:37:16
2025-11-12 13:24:37.600 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 488/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:37:12
2025-11-12 13:24:38.408 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:24:38.437 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch489
2025-11-12 13:24:40.308 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 489/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 3.9, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:37:07
2025-11-12 13:24:42.083 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 489/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:37:04
2025-11-12 13:24:43.860 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 489/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:37:01
2025-11-12 13:24:45.717 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 489/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:36:57
2025-11-12 13:24:47.538 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 489/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 7.4, iou_loss: 2.8, l1_loss: 1.0, conf_loss: 2.9, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:36:54
2025-11-12 13:24:49.366 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 489/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:36:50
2025-11-12 13:24:50.251 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:24:50.290 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch490
2025-11-12 13:24:52.142 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 490/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:36:46
2025-11-12 13:24:53.892 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 490/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 1.1, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:36:42
2025-11-12 13:24:55.680 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 490/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.2, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:36:39
2025-11-12 13:24:57.503 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 490/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 7.3, iou_loss: 2.5, l1_loss: 1.2, conf_loss: 2.8, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:36:35
2025-11-12 13:24:59.370 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 490/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.0, l1_loss: 1.0, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:36:32
2025-11-12 13:25:01.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 490/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:36:29
2025-11-12 13:25:01.940 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:25:06.809 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:25:08.155 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:25:08.898 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6488
2025-11-12 13:25:09.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5785
2025-11-12 13:25:09.085 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4415
2025-11-12 13:25:09.086 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5563
2025-11-12 13:25:09.086 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:25:09.086 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:25:09.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.649
2025-11-12 13:25:09.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.579
2025-11-12 13:25:09.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.442
2025-11-12 13:25:09.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.556
2025-11-12 13:25:09.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:25:09.087 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:25:09.088 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:25:10.033 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:25:10.943 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:25:11.881 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:25:12.788 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:25:13.738 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:25:14.660 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:25:15.577 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:25:16.533 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:25:17.447 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:25:17.448 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.32
2025-11-12 13:25:17.448 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:25:17.448 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:25:17.455 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.69 ms, Average inference time: 1.37 ms

2025-11-12 13:25:17.456 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:25:17.483 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:25:17.516 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch491
2025-11-12 13:25:19.392 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 491/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.7, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:36:24
2025-11-12 13:25:21.306 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 491/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:36:20
2025-11-12 13:25:23.221 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 491/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:36:17
2025-11-12 13:25:25.168 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 491/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:36:14
2025-11-12 13:25:27.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 491/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:36:10
2025-11-12 13:25:28.865 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 491/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:36:07
2025-11-12 13:25:29.719 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:25:29.746 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch492
2025-11-12 13:25:31.572 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 492/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:36:02
2025-11-12 13:25:33.249 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 492/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:35:59
2025-11-12 13:25:34.902 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 492/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:35:55
2025-11-12 13:25:36.678 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 492/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:35:52
2025-11-12 13:25:38.549 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 492/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.005s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.4, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:35:49
2025-11-12 13:25:40.272 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 492/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:35:45
2025-11-12 13:25:41.138 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:25:41.173 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch493
2025-11-12 13:25:42.935 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 493/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:35:40
2025-11-12 13:25:44.672 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 493/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:35:37
2025-11-12 13:25:46.446 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 493/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:35:34
2025-11-12 13:25:48.321 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 493/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 3.3, iou_loss: 1.4, l1_loss: 0.4, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:35:30
2025-11-12 13:25:50.098 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 493/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:35:27
2025-11-12 13:25:51.835 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 493/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 1.1, conf_loss: 2.0, cls_loss: 0.9, lr: 5.000e-04, size: 320, ETA: 0:35:23
2025-11-12 13:25:52.602 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:25:52.631 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch494
2025-11-12 13:25:54.439 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 494/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:35:19
2025-11-12 13:25:56.313 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 494/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:35:15
2025-11-12 13:25:58.055 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 494/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:35:12
2025-11-12 13:25:59.862 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 494/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:35:09
2025-11-12 13:26:01.727 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 494/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.0, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:35:05
2025-11-12 13:26:03.610 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 494/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.6, l1_loss: 1.1, conf_loss: 2.2, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:35:02
2025-11-12 13:26:04.574 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:26:04.607 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch495
2025-11-12 13:26:06.667 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 495/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.102s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.9, lr: 5.000e-04, size: 544, ETA: 0:34:57
2025-11-12 13:26:08.711 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 495/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.100s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:34:54
2025-11-12 13:26:10.559 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 495/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.001s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:34:50
2025-11-12 13:26:12.323 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 495/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:34:47
2025-11-12 13:26:14.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 495/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:34:44
2025-11-12 13:26:15.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 495/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:34:40
2025-11-12 13:26:16.859 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:26:21.753 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:26:22.872 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:26:23.578 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6352
2025-11-12 13:26:23.744 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5853
2025-11-12 13:26:23.782 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4393
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5533
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.635
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.585
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.439
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.553
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:26:23.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:26:23.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:26:24.708 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:26:25.602 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:26:26.523 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:26:27.463 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:26:28.347 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:26:29.264 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:26:30.168 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:26:31.085 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:26:32.010 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:26:32.010 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:26:32.011 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:26:32.011 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:26:32.017 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.69 ms, Average inference time: 1.31 ms

2025-11-12 13:26:32.018 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:26:32.040 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:26:32.067 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch496
2025-11-12 13:26:34.026 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 496/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:34:36
2025-11-12 13:26:35.920 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 496/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.6, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:34:32
2025-11-12 13:26:37.776 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 496/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:34:29
2025-11-12 13:26:39.523 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 496/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:34:26
2025-11-12 13:26:41.359 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 496/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.5Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:34:22
2025-11-12 13:26:43.247 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 496/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:34:19
2025-11-12 13:26:44.077 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:26:44.106 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch497
2025-11-12 13:26:45.929 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 497/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:34:14
2025-11-12 13:26:47.877 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 497/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:34:11
2025-11-12 13:26:49.609 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 497/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.083s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:34:07
2025-11-12 13:26:51.327 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 497/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:34:04
2025-11-12 13:26:53.256 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 497/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:34:01
2025-11-12 13:26:55.045 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 497/600, iter: 120/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.088s, data_time: 0.001s, total_loss: 6.1, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:33:57
2025-11-12 13:26:55.853 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:26:55.889 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch498
2025-11-12 13:26:57.674 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 498/600, iter: 20/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:33:53
2025-11-12 13:26:59.467 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 498/600, iter: 40/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:33:49
2025-11-12 13:27:01.213 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 498/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:33:46
2025-11-12 13:27:02.978 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 498/600, iter: 80/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:33:42
2025-11-12 13:27:04.789 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 498/600, iter: 100/129, gpu mem: 2795Mb, mem: 96.4Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:33:39
2025-11-12 13:27:06.720 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 498/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:33:36
2025-11-12 13:27:07.485 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:27:07.520 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch499
2025-11-12 13:27:09.264 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 499/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:33:31
2025-11-12 13:27:11.200 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 499/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.8, l1_loss: 0.9, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:33:28
2025-11-12 13:27:13.015 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 499/600, iter: 60/129, gpu mem: 2795Mb, mem: 96.9Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:33:24
2025-11-12 13:27:14.811 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 499/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:33:21
2025-11-12 13:27:16.851 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 499/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.101s, data_time: 0.005s, total_loss: 4.1, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:33:18
2025-11-12 13:27:18.781 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 499/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.094s, data_time: 0.004s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:33:14
2025-11-12 13:27:19.549 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:27:19.588 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch500
2025-11-12 13:27:21.263 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 500/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.083s, data_time: 0.003s, total_loss: 7.9, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 3.5, cls_loss: 0.9, lr: 5.000e-04, size: 448, ETA: 0:33:10
2025-11-12 13:27:23.022 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 500/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:33:06
2025-11-12 13:27:25.015 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 500/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:33:03
2025-11-12 13:27:26.885 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 500/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:33:00
2025-11-12 13:27:28.747 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 500/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:32:56
2025-11-12 13:27:30.616 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 500/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:32:53
2025-11-12 13:27:31.399 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:27:36.203 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:27:37.174 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:27:37.802 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6373
2025-11-12 13:27:37.935 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5946
2025-11-12 13:27:37.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4257
2025-11-12 13:27:37.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5525
2025-11-12 13:27:37.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:27:37.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:27:37.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.637
2025-11-12 13:27:37.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.595
2025-11-12 13:27:37.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.426
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.553
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:27:37.976 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:27:38.790 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:27:39.567 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:27:40.370 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:27:41.141 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:27:41.950 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:27:42.719 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:27:43.496 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:27:44.299 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:27:45.074 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:27:45.074 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:27:45.075 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:27:45.075 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:27:45.081 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.74 ms, Average inference time: 1.36 ms

2025-11-12 13:27:45.082 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:27:45.106 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:27:45.133 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch501
2025-11-12 13:27:46.962 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 501/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:32:48
2025-11-12 13:27:48.826 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 501/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:32:45
2025-11-12 13:27:50.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 501/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:32:42
2025-11-12 13:27:52.609 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 501/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 512, ETA: 0:32:38
2025-11-12 13:27:54.523 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 501/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 3.9, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:32:35
2025-11-12 13:27:56.322 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 501/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:32:32
2025-11-12 13:27:57.086 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:27:57.127 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch502
2025-11-12 13:27:58.998 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 502/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.4, l1_loss: 0.4, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:32:27
2025-11-12 13:28:01.017 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 502/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 1.2, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:32:24
2025-11-12 13:28:02.775 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 502/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:32:20
2025-11-12 13:28:04.626 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 502/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:32:17
2025-11-12 13:28:06.564 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 502/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.095s, data_time: 0.005s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:32:14
2025-11-12 13:28:08.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 502/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:32:11
2025-11-12 13:28:09.280 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:28:09.324 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch503
2025-11-12 13:28:11.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 503/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:32:06
2025-11-12 13:28:13.013 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 503/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 6.9, iou_loss: 2.9, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:32:02
2025-11-12 13:28:14.892 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 503/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:31:59
2025-11-12 13:28:16.781 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 503/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:31:56
2025-11-12 13:28:18.748 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 503/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.098s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:31:53
2025-11-12 13:28:20.659 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 503/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:31:49
2025-11-12 13:28:21.405 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:28:21.451 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch504
2025-11-12 13:28:23.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 504/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:31:45
2025-11-12 13:28:25.128 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 504/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:31:41
2025-11-12 13:28:26.849 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 504/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.2, iou_loss: 2.0, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:31:38
2025-11-12 13:28:28.725 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 504/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:31:35
2025-11-12 13:28:30.457 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 504/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:31:31
2025-11-12 13:28:32.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 504/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:31:28
2025-11-12 13:28:32.995 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:28:33.027 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch505
2025-11-12 13:28:34.881 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 505/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:31:23
2025-11-12 13:28:36.685 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 505/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:31:20
2025-11-12 13:28:38.583 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 505/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:31:17
2025-11-12 13:28:40.447 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 505/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:31:13
2025-11-12 13:28:42.438 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 505/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.098s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:31:10
2025-11-12 13:28:44.261 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 505/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:31:07
2025-11-12 13:28:45.087 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:28:49.824 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:28:50.688 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:28:51.203 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6371
2025-11-12 13:28:51.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5712
2025-11-12 13:28:51.384 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4149
2025-11-12 13:28:51.385 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5411
2025-11-12 13:28:51.385 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:28:51.385 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:28:51.385 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.637
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.571
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.415
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.541
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:28:51.386 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:28:51.387 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:28:51.387 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:28:51.387 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:28:52.070 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:28:52.786 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:28:53.467 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:28:54.152 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:28:54.868 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:28:55.551 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:28:56.234 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:28:56.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:28:57.618 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:28:57.618 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:28:57.618 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 13:28:57.619 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:28:57.625 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.65 ms, Average inference time: 1.28 ms

2025-11-12 13:28:57.626 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:28:57.648 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:28:57.675 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch506
2025-11-12 13:28:59.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 506/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:31:02
2025-11-12 13:29:01.332 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 506/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.3, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:30:59
2025-11-12 13:29:03.381 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 506/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.101s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:30:56
2025-11-12 13:29:05.173 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 506/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.3, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:30:52
2025-11-12 13:29:07.039 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 506/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:30:49
2025-11-12 13:29:08.862 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 506/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:30:46
2025-11-12 13:29:09.567 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:29:09.604 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch507
2025-11-12 13:29:11.434 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 507/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:30:41
2025-11-12 13:29:13.225 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 507/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:30:38
2025-11-12 13:29:14.985 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 507/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:30:35
2025-11-12 13:29:16.719 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 507/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:30:31
2025-11-12 13:29:18.523 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 507/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.0Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:30:28
2025-11-12 13:29:20.603 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 507/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.101s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:30:25
2025-11-12 13:29:21.504 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:29:21.534 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch508
2025-11-12 13:29:23.296 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 508/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:30:20
2025-11-12 13:29:24.981 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 508/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:30:17
2025-11-12 13:29:26.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 508/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:30:13
2025-11-12 13:29:28.634 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 508/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.004s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 2.3, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:30:10
2025-11-12 13:29:30.578 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 508/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:30:07
2025-11-12 13:29:32.273 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 508/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:30:04
2025-11-12 13:29:33.068 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:29:33.097 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch509
2025-11-12 13:29:34.995 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 509/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:29:59
2025-11-12 13:29:36.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 509/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:29:56
2025-11-12 13:29:38.509 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 509/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:29:52
2025-11-12 13:29:40.269 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 509/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:29:49
2025-11-12 13:29:42.114 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 509/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 3.0, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:29:46
2025-11-12 13:29:43.983 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 509/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.001s, total_loss: 6.7, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:29:43
2025-11-12 13:29:44.814 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:29:44.844 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch510
2025-11-12 13:29:46.702 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 510/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 9.4, iou_loss: 3.1, l1_loss: 1.1, conf_loss: 4.4, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:29:38
2025-11-12 13:29:48.485 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 510/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:29:35
2025-11-12 13:29:50.422 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 510/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:29:31
2025-11-12 13:29:52.242 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 510/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.005s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:29:28
2025-11-12 13:29:54.128 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 510/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:29:25
2025-11-12 13:29:56.132 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 510/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:29:22
2025-11-12 13:29:57.025 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:01.775 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:30:02.487 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:30:02.914 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6412
2025-11-12 13:30:03.021 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5934
2025-11-12 13:30:03.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4131
2025-11-12 13:30:03.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5492
2025-11-12 13:30:03.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:30:03.054 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.641
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.593
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.413
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.549
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:30:03.055 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:30:03.056 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:30:03.056 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:30:03.056 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:30:03.643 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:30:04.204 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:30:04.766 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:30:05.328 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:30:05.884 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:30:06.477 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:30:07.042 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:30:07.589 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:30:08.146 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:30:08.147 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:30:08.147 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:30:08.147 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:30:08.153 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.69 ms, Average inference time: 1.35 ms

2025-11-12 13:30:08.154 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:08.176 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:08.204 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch511
2025-11-12 13:30:10.034 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 511/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:29:17
2025-11-12 13:30:11.734 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 511/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:29:14
2025-11-12 13:30:13.590 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 511/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:29:10
2025-11-12 13:30:15.505 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 511/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.3, l1_loss: 1.1, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:29:07
2025-11-12 13:30:17.187 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 511/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:29:04
2025-11-12 13:30:18.894 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 511/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:29:01
2025-11-12 13:30:19.692 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:19.731 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch512
2025-11-12 13:30:21.646 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 512/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:28:56
2025-11-12 13:30:23.378 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 512/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:28:53
2025-11-12 13:30:25.312 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 512/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:28:49
2025-11-12 13:30:27.216 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 512/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.005s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:28:46
2025-11-12 13:30:29.097 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 512/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:28:43
2025-11-12 13:30:31.013 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 512/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:28:40
2025-11-12 13:30:31.788 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:31.817 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch513
2025-11-12 13:30:33.578 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 513/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:28:35
2025-11-12 13:30:35.421 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 513/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:28:32
2025-11-12 13:30:37.323 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 513/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:28:29
2025-11-12 13:30:39.382 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 513/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.101s, data_time: 0.004s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:28:25
2025-11-12 13:30:41.073 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 513/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:28:22
2025-11-12 13:30:42.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 513/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:28:19
2025-11-12 13:30:43.672 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:43.710 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch514
2025-11-12 13:30:45.472 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 514/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:28:14
2025-11-12 13:30:47.397 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 514/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:28:11
2025-11-12 13:30:49.230 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 514/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:28:08
2025-11-12 13:30:51.135 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 514/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 4.0, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:28:04
2025-11-12 13:30:52.847 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 514/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:28:01
2025-11-12 13:30:54.793 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 514/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:27:58
2025-11-12 13:30:55.680 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:30:55.708 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch515
2025-11-12 13:30:57.608 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 515/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:27:53
2025-11-12 13:30:59.460 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 515/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:27:50
2025-11-12 13:31:01.312 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 515/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:27:47
2025-11-12 13:31:03.187 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 515/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:27:44
2025-11-12 13:31:05.035 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 515/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:27:40
2025-11-12 13:31:06.859 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 515/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:27:37
2025-11-12 13:31:07.688 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:31:12.626 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:31:13.606 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:31:14.063 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6460
2025-11-12 13:31:14.210 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5804
2025-11-12 13:31:14.254 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4410
2025-11-12 13:31:14.254 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5558
2025-11-12 13:31:14.254 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:31:14.254 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.646
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.580
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.441
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.556
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:31:14.255 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:31:14.256 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:31:14.256 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:31:14.256 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:31:14.256 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:31:14.893 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:31:15.532 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:31:16.165 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:31:16.832 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:31:17.463 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:31:18.091 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:31:18.726 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:31:19.362 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:31:20.022 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:31:20.023 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.32
2025-11-12 13:31:20.023 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:31:20.023 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:31:20.029 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.66 ms, Average inference time: 1.28 ms

2025-11-12 13:31:20.031 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:31:20.058 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:31:20.090 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch516
2025-11-12 13:31:22.239 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 516/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.105s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:27:33
2025-11-12 13:31:24.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 516/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.100s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:27:29
2025-11-12 13:31:26.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 516/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:27:26
2025-11-12 13:31:27.850 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 516/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:27:23
2025-11-12 13:31:29.613 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 516/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:27:20
2025-11-12 13:31:31.463 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 516/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:27:16
2025-11-12 13:31:32.264 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:31:32.292 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch517
2025-11-12 13:31:34.074 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 517/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:27:12
2025-11-12 13:31:35.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 517/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:27:09
2025-11-12 13:31:37.669 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 517/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:27:05
2025-11-12 13:31:39.377 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 517/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:27:02
2025-11-12 13:31:41.247 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 517/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:26:59
2025-11-12 13:31:43.250 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 517/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.099s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:26:56
2025-11-12 13:31:44.020 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:31:44.058 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch518
2025-11-12 13:31:45.836 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 518/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:26:51
2025-11-12 13:31:47.681 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 518/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.5, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:26:48
2025-11-12 13:31:49.535 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 518/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:26:45
2025-11-12 13:31:51.457 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 518/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 1.0, lr: 5.000e-04, size: 256, ETA: 0:26:41
2025-11-12 13:31:53.336 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 518/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:26:38
2025-11-12 13:31:55.199 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 518/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:26:35
2025-11-12 13:31:55.950 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:31:55.980 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch519
2025-11-12 13:31:57.778 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 519/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 3.4, iou_loss: 1.4, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:26:30
2025-11-12 13:31:59.722 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 519/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 1.2, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:26:27
2025-11-12 13:32:01.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 519/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.7, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:26:24
2025-11-12 13:32:03.304 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 519/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:26:21
2025-11-12 13:32:05.088 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 519/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:26:18
2025-11-12 13:32:06.869 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 519/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:26:14
2025-11-12 13:32:07.748 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:32:07.786 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch520
2025-11-12 13:32:09.486 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 520/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:26:10
2025-11-12 13:32:11.277 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 520/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:26:06
2025-11-12 13:32:13.055 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 520/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:26:03
2025-11-12 13:32:14.927 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 520/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 7.9, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 4.0, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:26:00
2025-11-12 13:32:16.741 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 520/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:25:57
2025-11-12 13:32:18.531 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 520/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:25:54
2025-11-12 13:32:19.349 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:32:24.364 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:32:25.283 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:32:25.832 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6433
2025-11-12 13:32:25.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5853
2025-11-12 13:32:26.010 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4458
2025-11-12 13:32:26.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5582
2025-11-12 13:32:26.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:32:26.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:32:26.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.643
2025-11-12 13:32:26.011 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.585
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.446
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.558
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:32:26.012 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:32:26.013 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:32:26.013 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:32:26.760 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:32:27.472 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:32:28.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:32:28.935 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:32:29.651 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:32:30.396 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:32:31.102 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:32:31.811 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:32:32.556 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:32:32.556 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:32:32.556 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:32:32.556 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:32:32.563 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.66 ms, Average NMS time: 0.66 ms, Average inference time: 1.32 ms

2025-11-12 13:32:32.564 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:32:32.586 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:32:32.614 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch521
2025-11-12 13:32:34.527 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 521/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:25:49
2025-11-12 13:32:36.257 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 521/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:25:46
2025-11-12 13:32:38.062 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 521/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:25:43
2025-11-12 13:32:39.961 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 521/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.0, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:25:39
2025-11-12 13:32:41.845 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 521/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.1, l1_loss: 1.1, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:25:36
2025-11-12 13:32:43.628 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 521/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:25:33
2025-11-12 13:32:44.460 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:32:44.492 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch522
2025-11-12 13:32:46.338 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 522/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:25:28
2025-11-12 13:32:48.212 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 522/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.3, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:25:25
2025-11-12 13:32:50.248 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 522/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.100s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:25:22
2025-11-12 13:32:52.042 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 522/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:25:19
2025-11-12 13:32:53.907 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 522/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:25:16
2025-11-12 13:32:55.802 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 522/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:25:13
2025-11-12 13:32:56.608 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:32:56.642 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch523
2025-11-12 13:32:58.286 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 523/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:25:08
2025-11-12 13:33:00.152 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 523/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:25:05
2025-11-12 13:33:01.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 523/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:25:02
2025-11-12 13:33:03.774 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 523/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:24:58
2025-11-12 13:33:05.552 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 523/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.9, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:24:55
2025-11-12 13:33:07.358 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 523/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:24:52
2025-11-12 13:33:08.200 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:33:08.257 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch524
2025-11-12 13:33:10.124 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 524/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:24:47
2025-11-12 13:33:11.960 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 524/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:24:44
2025-11-12 13:33:13.929 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 524/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:24:41
2025-11-12 13:33:15.966 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 524/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.100s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:24:38
2025-11-12 13:33:17.829 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 524/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:24:35
2025-11-12 13:33:19.613 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 524/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:24:32
2025-11-12 13:33:20.434 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:33:20.468 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch525
2025-11-12 13:33:22.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 525/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:24:27
2025-11-12 13:33:24.094 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 525/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:24:24
2025-11-12 13:33:25.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 525/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:24:21
2025-11-12 13:33:27.868 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 525/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 6.6, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:24:17
2025-11-12 13:33:29.928 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 525/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:24:14
2025-11-12 13:33:31.780 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 525/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 4.1, iou_loss: 1.6, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:24:11
2025-11-12 13:33:32.562 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:33:37.304 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:33:37.865 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:33:38.250 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6229
2025-11-12 13:33:38.326 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5300
2025-11-12 13:33:38.356 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3769
2025-11-12 13:33:38.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5100
2025-11-12 13:33:38.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:33:38.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:33:38.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.623
2025-11-12 13:33:38.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.530
2025-11-12 13:33:38.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.377
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.510
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:33:38.358 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:33:38.359 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:33:38.836 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:33:39.302 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:33:39.767 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:33:40.228 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:33:40.687 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:33:41.179 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:33:41.648 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:33:42.109 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:33:42.574 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:33:42.574 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.29
2025-11-12 13:33:42.574 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.51
2025-11-12 13:33:42.574 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:33:42.580 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.65 ms, Average inference time: 1.32 ms

2025-11-12 13:33:42.581 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:33:42.604 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:33:42.631 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch526
2025-11-12 13:33:44.487 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 526/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:24:06
2025-11-12 13:33:46.350 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 526/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:24:03
2025-11-12 13:33:48.180 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 526/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:24:00
2025-11-12 13:33:50.024 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 526/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:23:57
2025-11-12 13:33:51.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 526/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:23:54
2025-11-12 13:33:54.175 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 526/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.105s, data_time: 0.004s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:23:51
2025-11-12 13:33:55.108 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:33:55.141 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch527
2025-11-12 13:33:57.082 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 527/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:23:46
2025-11-12 13:33:58.877 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 527/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:23:43
2025-11-12 13:34:00.806 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 527/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:23:40
2025-11-12 13:34:02.696 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 527/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 3.7, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:23:37
2025-11-12 13:34:04.688 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 527/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 7.5, iou_loss: 2.9, l1_loss: 1.0, conf_loss: 2.8, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:23:34
2025-11-12 13:34:06.574 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 527/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:23:30
2025-11-12 13:34:07.514 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:34:07.545 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch528
2025-11-12 13:34:09.235 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 528/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 10.2, iou_loss: 2.9, l1_loss: 0.9, conf_loss: 5.6, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:23:26
2025-11-12 13:34:11.036 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 528/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:23:23
2025-11-12 13:34:12.829 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 528/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:23:19
2025-11-12 13:34:14.728 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 528/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 3.5, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 0.7, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:23:16
2025-11-12 13:34:16.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 528/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:23:13
2025-11-12 13:34:18.370 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 528/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 6.0, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 2.8, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:23:10
2025-11-12 13:34:19.141 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:34:19.181 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch529
2025-11-12 13:34:20.948 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 529/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:23:05
2025-11-12 13:34:22.738 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 529/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:23:02
2025-11-12 13:34:24.543 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 529/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:22:59
2025-11-12 13:34:26.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 529/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 6.7, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:22:56
2025-11-12 13:34:28.156 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 529/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:22:53
2025-11-12 13:34:29.846 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 529/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:22:50
2025-11-12 13:34:30.594 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:34:30.625 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch530
2025-11-12 13:34:32.333 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 530/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:22:45
2025-11-12 13:34:34.104 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 530/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:22:42
2025-11-12 13:34:36.121 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 530/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 7.0, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:22:39
2025-11-12 13:34:38.103 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 530/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.098s, data_time: 0.003s, total_loss: 4.8, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:22:36
2025-11-12 13:34:40.023 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 530/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:22:32
2025-11-12 13:34:41.839 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 530/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:22:29
2025-11-12 13:34:42.622 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:34:47.387 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:34:48.806 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:34:49.529 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6490
2025-11-12 13:34:49.670 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5934
2025-11-12 13:34:49.756 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4542
2025-11-12 13:34:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5656
2025-11-12 13:34:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:34:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:34:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.649
2025-11-12 13:34:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.593
2025-11-12 13:34:49.757 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.454
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.566
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:34:49.758 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:34:49.759 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:34:50.648 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:34:51.545 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:34:52.471 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:34:53.378 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:34:54.325 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:34:55.222 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:34:56.149 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:34:57.049 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:34:57.982 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:34:57.983 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:34:57.983 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.57
2025-11-12 13:34:57.983 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:34:57.989 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.68 ms, Average inference time: 1.31 ms

2025-11-12 13:34:57.991 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:34:58.017 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:34:58.064 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch531
2025-11-12 13:35:00.165 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 531/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.104s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:22:25
2025-11-12 13:35:02.129 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 531/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:22:22
2025-11-12 13:35:03.861 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 531/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 2.0, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:22:19
2025-11-12 13:35:05.764 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 531/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:22:15
2025-11-12 13:35:07.495 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 531/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:22:12
2025-11-12 13:35:09.312 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 531/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 1.1, lr: 5.000e-04, size: 256, ETA: 0:22:09
2025-11-12 13:35:10.183 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:35:10.214 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch532
2025-11-12 13:35:11.952 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 532/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:22:05
2025-11-12 13:35:13.736 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 532/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:22:01
2025-11-12 13:35:15.480 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 532/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:21:58
2025-11-12 13:35:17.353 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 532/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 3.9, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:21:55
2025-11-12 13:35:19.158 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 532/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:21:52
2025-11-12 13:35:21.104 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 532/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:21:49
2025-11-12 13:35:21.921 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:35:21.951 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch533
2025-11-12 13:35:23.677 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 533/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:21:44
2025-11-12 13:35:25.371 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 533/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:21:41
2025-11-12 13:35:27.214 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 533/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:21:38
2025-11-12 13:35:29.110 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 533/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:21:35
2025-11-12 13:35:30.926 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 533/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:21:32
2025-11-12 13:35:32.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 533/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:21:29
2025-11-12 13:35:33.751 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:35:33.786 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch534
2025-11-12 13:35:35.606 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 534/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:21:24
2025-11-12 13:35:37.526 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 534/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:21:21
2025-11-12 13:35:39.384 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 534/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:21:18
2025-11-12 13:35:41.189 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 534/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:21:15
2025-11-12 13:35:43.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 534/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.102s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:21:12
2025-11-12 13:35:45.087 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 534/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:21:09
2025-11-12 13:35:45.899 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:35:45.932 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch535
2025-11-12 13:35:47.815 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 535/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 1.0, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:21:04
2025-11-12 13:35:49.589 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 535/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.4, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:21:01
2025-11-12 13:35:51.431 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 535/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:20:58
2025-11-12 13:35:53.204 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 535/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:20:55
2025-11-12 13:35:55.051 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 535/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:20:52
2025-11-12 13:35:57.085 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 535/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.101s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:20:48
2025-11-12 13:35:58.061 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:36:02.878 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:36:03.928 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:36:04.595 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6475
2025-11-12 13:36:04.741 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5847
2025-11-12 13:36:04.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4094
2025-11-12 13:36:04.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5472
2025-11-12 13:36:04.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:36:04.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:36:04.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.648
2025-11-12 13:36:04.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.585
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.409
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.547
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:36:04.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:36:04.786 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:36:04.786 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:36:04.786 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:36:05.660 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:36:06.535 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:36:07.372 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:36:08.258 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:36:09.083 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:36:09.951 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:36:10.773 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:36:11.663 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:36:12.511 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:36:12.511 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:36:12.511 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:36:12.512 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:36:12.518 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.66 ms, Average inference time: 1.27 ms

2025-11-12 13:36:12.519 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:36:12.542 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:36:12.570 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch536
2025-11-12 13:36:14.331 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 536/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:20:44
2025-11-12 13:36:16.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 536/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:20:41
2025-11-12 13:36:17.997 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 536/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:20:38
2025-11-12 13:36:19.825 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 536/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:20:35
2025-11-12 13:36:21.683 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 536/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:20:31
2025-11-12 13:36:23.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 536/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 7.4, iou_loss: 2.7, l1_loss: 0.8, conf_loss: 2.9, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:20:28
2025-11-12 13:36:24.374 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:36:24.432 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch537
2025-11-12 13:36:26.395 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 537/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:20:24
2025-11-12 13:36:28.340 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 537/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:20:21
2025-11-12 13:36:30.193 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 537/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:20:18
2025-11-12 13:36:31.935 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 537/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:20:14
2025-11-12 13:36:33.830 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 537/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:20:11
2025-11-12 13:36:35.773 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 537/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:20:08
2025-11-12 13:36:36.541 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:36:36.575 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch538
2025-11-12 13:36:38.399 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 538/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:20:04
2025-11-12 13:36:40.318 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 538/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.0, l1_loss: 1.2, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:20:01
2025-11-12 13:36:42.089 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 538/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.9, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:19:58
2025-11-12 13:36:43.800 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 538/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.004s, total_loss: 3.9, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:19:54
2025-11-12 13:36:45.512 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 538/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:19:51
2025-11-12 13:36:47.354 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 538/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 3.5, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:19:48
2025-11-12 13:36:48.204 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:36:48.285 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch539
2025-11-12 13:36:50.124 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 539/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.1Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 1.7, cls_loss: 0.8, lr: 5.000e-04, size: 512, ETA: 0:19:44
2025-11-12 13:36:51.988 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 539/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.001s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:19:41
2025-11-12 13:36:53.820 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 539/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:19:37
2025-11-12 13:36:55.933 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 539/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.105s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:19:34
2025-11-12 13:36:57.831 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 539/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:19:31
2025-11-12 13:36:59.726 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 539/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:19:28
2025-11-12 13:37:00.518 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:00.548 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch540
2025-11-12 13:37:02.333 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 540/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:19:24
2025-11-12 13:37:04.161 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 540/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:19:21
2025-11-12 13:37:05.953 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 540/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:19:18
2025-11-12 13:37:07.901 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 540/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:19:14
2025-11-12 13:37:09.623 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 540/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:19:11
2025-11-12 13:37:11.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 540/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:19:08
2025-11-12 13:37:12.260 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:16.979 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:37:17.684 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:37:18.140 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6397
2025-11-12 13:37:18.233 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5659
2025-11-12 13:37:18.308 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3987
2025-11-12 13:37:18.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5348
2025-11-12 13:37:18.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:37:18.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:37:18.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.640
2025-11-12 13:37:18.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.566
2025-11-12 13:37:18.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.399
2025-11-12 13:37:18.310 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.535
2025-11-12 13:37:18.310 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:37:18.310 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:37:18.310 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:37:18.310 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:37:18.310 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:37:18.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:37:18.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:37:18.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:37:18.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:37:18.878 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:37:19.433 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:37:19.991 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:37:20.545 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:37:21.130 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:37:21.682 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:37:22.253 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:37:22.826 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:37:23.386 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:37:23.386 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:37:23.386 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 13:37:23.386 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:37:23.392 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.60 ms, Average NMS time: 0.68 ms, Average inference time: 1.28 ms

2025-11-12 13:37:23.393 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:23.415 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:23.444 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch541
2025-11-12 13:37:25.176 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 541/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:19:04
2025-11-12 13:37:26.966 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 541/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:19:01
2025-11-12 13:37:28.856 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 541/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:18:58
2025-11-12 13:37:30.642 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 541/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:18:54
2025-11-12 13:37:32.631 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 541/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:18:51
2025-11-12 13:37:34.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 541/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:18:48
2025-11-12 13:37:35.234 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:35.264 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch542
2025-11-12 13:37:37.077 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 542/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.001s, total_loss: 3.6, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:18:44
2025-11-12 13:37:38.908 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 542/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:18:41
2025-11-12 13:37:40.747 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 542/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.005s, total_loss: 2.9, iou_loss: 1.3, l1_loss: 0.3, conf_loss: 0.8, cls_loss: 0.4, lr: 5.000e-04, size: 256, ETA: 0:18:38
2025-11-12 13:37:42.781 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 542/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 4.3, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:18:35
2025-11-12 13:37:44.692 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 542/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:18:31
2025-11-12 13:37:46.509 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 542/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:18:28
2025-11-12 13:37:47.309 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:47.342 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch543
2025-11-12 13:37:49.129 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 543/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:18:24
2025-11-12 13:37:50.816 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 543/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:18:21
2025-11-12 13:37:52.664 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 543/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 3.6, iou_loss: 1.4, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:18:18
2025-11-12 13:37:54.479 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 543/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.6, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:18:15
2025-11-12 13:37:56.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 543/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 3.5, iou_loss: 1.3, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.4, lr: 5.000e-04, size: 480, ETA: 0:18:12
2025-11-12 13:37:58.349 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 543/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:18:09
2025-11-12 13:37:59.167 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:37:59.199 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch544
2025-11-12 13:38:00.933 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 544/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:18:04
2025-11-12 13:38:02.956 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 544/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:18:01
2025-11-12 13:38:04.783 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 544/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:17:58
2025-11-12 13:38:06.611 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 544/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 3.4, iou_loss: 1.5, l1_loss: 0.4, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:17:55
2025-11-12 13:38:08.415 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 544/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:17:52
2025-11-12 13:38:10.138 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 544/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:17:49
2025-11-12 13:38:10.939 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:38:10.979 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch545
2025-11-12 13:38:12.849 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 545/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.9, lr: 5.000e-04, size: 288, ETA: 0:17:44
2025-11-12 13:38:14.493 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 545/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 4.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:17:41
2025-11-12 13:38:16.356 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 545/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:17:38
2025-11-12 13:38:18.170 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 545/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:17:35
2025-11-12 13:38:19.911 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 545/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.1, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:17:32
2025-11-12 13:38:21.642 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 545/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.082s, data_time: 0.003s, total_loss: 4.5, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:17:29
2025-11-12 13:38:22.405 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:38:27.169 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:38:27.906 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:38:28.304 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6182
2025-11-12 13:38:28.393 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5525
2025-11-12 13:38:28.464 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3909
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5205
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.618
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.552
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.391
2025-11-12 13:38:28.465 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.521
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:38:28.466 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:38:29.030 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:38:29.580 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:38:30.129 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:38:30.669 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:38:31.244 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:38:31.790 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:38:32.331 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:38:32.875 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:38:33.416 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:38:33.416 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 13:38:33.416 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.52
2025-11-12 13:38:33.417 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:38:33.423 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.64 ms, Average inference time: 1.28 ms

2025-11-12 13:38:33.424 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:38:33.446 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:38:33.474 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch546
2025-11-12 13:38:35.262 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 546/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 8.1, iou_loss: 3.1, l1_loss: 1.0, conf_loss: 3.2, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:17:24
2025-11-12 13:38:37.019 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 546/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:17:21
2025-11-12 13:38:38.759 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 546/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 6.1, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:17:18
2025-11-12 13:38:40.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 546/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:17:15
2025-11-12 13:38:42.287 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 546/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:17:12
2025-11-12 13:38:44.168 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 546/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:17:09
2025-11-12 13:38:44.951 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:38:44.985 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch547
2025-11-12 13:38:46.767 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 547/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 7.1, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.8, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:17:04
2025-11-12 13:38:48.554 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 547/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:17:01
2025-11-12 13:38:50.467 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 547/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:16:58
2025-11-12 13:38:52.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 547/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:16:55
2025-11-12 13:38:54.129 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 547/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:16:52
2025-11-12 13:38:55.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 547/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:16:49
2025-11-12 13:38:56.708 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:38:56.751 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch548
2025-11-12 13:38:58.593 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 548/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.7, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:16:45
2025-11-12 13:39:00.334 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 548/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 6.6, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:16:42
2025-11-12 13:39:02.195 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 548/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:16:39
2025-11-12 13:39:03.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 548/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:16:36
2025-11-12 13:39:05.733 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 548/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:16:32
2025-11-12 13:39:07.464 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 548/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:16:29
2025-11-12 13:39:08.243 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:39:08.272 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch549
2025-11-12 13:39:10.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 549/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:16:25
2025-11-12 13:39:11.897 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 549/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:16:22
2025-11-12 13:39:13.632 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 549/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.004s, total_loss: 4.6, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:16:19
2025-11-12 13:39:15.490 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 549/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.9, lr: 5.000e-04, size: 320, ETA: 0:16:16
2025-11-12 13:39:17.277 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 549/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:16:13
2025-11-12 13:39:19.182 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 549/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.001s, total_loss: 6.2, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:16:10
2025-11-12 13:39:20.007 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:39:20.042 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch550
2025-11-12 13:39:21.712 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 550/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.082s, data_time: 0.001s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:16:05
2025-11-12 13:39:23.630 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 550/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:16:02
2025-11-12 13:39:25.434 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 550/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 3.2, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 0.8, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:15:59
2025-11-12 13:39:27.417 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 550/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:15:56
2025-11-12 13:39:29.172 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 550/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:15:53
2025-11-12 13:39:31.106 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 550/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:15:50
2025-11-12 13:39:31.988 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:39:36.787 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:39:37.566 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:39:37.956 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6294
2025-11-12 13:39:38.115 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5766
2025-11-12 13:39:38.156 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4384
2025-11-12 13:39:38.156 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5481
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.629
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.577
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.438
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.548
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:39:38.157 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:39:38.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:39:38.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:39:38.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:39:38.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:39:38.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:39:38.158 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:39:38.749 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:39:39.328 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:39:39.937 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:39:40.514 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:39:41.109 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:39:41.688 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:39:42.299 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:39:42.882 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:39:43.462 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:39:43.462 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:39:43.463 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:39:43.463 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:39:43.469 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.69 ms, Average inference time: 1.32 ms

2025-11-12 13:39:43.470 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:39:43.492 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:39:43.520 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch551
2025-11-12 13:39:45.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 551/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:15:46
2025-11-12 13:39:47.243 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 551/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:15:43
2025-11-12 13:39:49.201 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 551/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:15:40
2025-11-12 13:39:51.107 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 551/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:15:36
2025-11-12 13:39:53.010 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 551/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.0, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:15:33
2025-11-12 13:39:54.884 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 551/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:15:30
2025-11-12 13:39:55.735 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:39:55.785 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch552
2025-11-12 13:39:57.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 552/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.098s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:15:26
2025-11-12 13:39:59.657 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 552/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 8.0, iou_loss: 2.8, l1_loss: 1.1, conf_loss: 3.3, cls_loss: 0.9, lr: 5.000e-04, size: 352, ETA: 0:15:23
2025-11-12 13:40:01.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 552/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.104s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:15:20
2025-11-12 13:40:03.659 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 552/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.2, iou_loss: 2.0, l1_loss: 0.5, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:15:17
2025-11-12 13:40:05.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 552/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:15:14
2025-11-12 13:40:07.300 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 552/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:15:11
2025-11-12 13:40:08.135 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:40:08.169 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch553
2025-11-12 13:40:10.022 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 553/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 3.4, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:15:06
2025-11-12 13:40:11.835 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 553/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.5, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:15:03
2025-11-12 13:40:13.611 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 553/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.005s, total_loss: 6.5, iou_loss: 2.8, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:15:00
2025-11-12 13:40:15.410 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 553/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:14:57
2025-11-12 13:40:17.228 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 553/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:14:54
2025-11-12 13:40:19.019 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 553/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:14:51
2025-11-12 13:40:19.863 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:40:19.895 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch554
2025-11-12 13:40:21.838 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 554/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:14:47
2025-11-12 13:40:23.737 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 554/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:14:44
2025-11-12 13:40:25.706 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 554/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.097s, data_time: 0.003s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:14:41
2025-11-12 13:40:27.588 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 554/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:14:38
2025-11-12 13:40:29.528 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 554/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:14:35
2025-11-12 13:40:31.346 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 554/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:14:32
2025-11-12 13:40:32.161 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:40:32.196 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch555
2025-11-12 13:40:33.898 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 555/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:14:27
2025-11-12 13:40:35.764 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 555/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:14:24
2025-11-12 13:40:37.470 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 555/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 5.6, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:14:21
2025-11-12 13:40:39.268 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 555/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 2.0, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:14:18
2025-11-12 13:40:41.076 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 555/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 2.8, iou_loss: 1.2, l1_loss: 0.3, conf_loss: 0.8, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:14:15
2025-11-12 13:40:42.860 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 555/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 7.3, iou_loss: 2.8, l1_loss: 0.9, conf_loss: 2.7, cls_loss: 0.8, lr: 5.000e-04, size: 256, ETA: 0:14:12
2025-11-12 13:40:43.632 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:40:48.503 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:40:50.155 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:40:50.905 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6422
2025-11-12 13:40:51.132 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5852
2025-11-12 13:40:51.183 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4426
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5567
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.642
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.585
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.443
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.557
2025-11-12 13:40:51.184 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:40:51.185 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:40:52.229 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:40:53.257 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:40:54.307 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:40:55.349 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:40:56.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:40:57.402 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:40:58.418 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:40:59.458 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:41:00.497 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:41:00.498 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:41:00.498 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:41:00.498 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:41:00.505 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.68 ms, Average inference time: 1.31 ms

2025-11-12 13:41:00.506 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:41:00.532 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:41:00.564 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch556
2025-11-12 13:41:02.423 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 556/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:14:08
2025-11-12 13:41:04.355 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 556/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:14:05
2025-11-12 13:41:06.208 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 556/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.6, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:14:02
2025-11-12 13:41:08.063 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 556/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:13:59
2025-11-12 13:41:09.886 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 556/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.8, l1_loss: 1.1, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:13:56
2025-11-12 13:41:11.774 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 556/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.6, cls_loss: 0.8, lr: 5.000e-04, size: 544, ETA: 0:13:53
2025-11-12 13:41:12.612 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:41:12.644 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch557
2025-11-12 13:41:14.446 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 557/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:13:48
2025-11-12 13:41:16.193 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 557/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:13:45
2025-11-12 13:41:17.970 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 557/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 6.7, iou_loss: 2.8, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:13:42
2025-11-12 13:41:19.878 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 557/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:13:39
2025-11-12 13:41:21.768 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 557/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.0, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:13:36
2025-11-12 13:41:23.654 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 557/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:13:33
2025-11-12 13:41:24.494 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:41:24.527 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch558
2025-11-12 13:41:26.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 558/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:13:29
2025-11-12 13:41:28.226 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 558/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:13:26
2025-11-12 13:41:30.166 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 558/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:13:23
2025-11-12 13:41:32.037 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 558/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.0, l1_loss: 1.1, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:13:20
2025-11-12 13:41:33.991 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 558/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:13:17
2025-11-12 13:41:35.895 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 558/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.003s, total_loss: 3.7, iou_loss: 1.5, l1_loss: 0.4, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:13:14
2025-11-12 13:41:36.795 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:41:36.840 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch559
2025-11-12 13:41:38.743 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 559/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:13:09
2025-11-12 13:41:40.602 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 559/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:13:06
2025-11-12 13:41:42.515 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 559/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:13:03
2025-11-12 13:41:44.316 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 559/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:13:00
2025-11-12 13:41:46.039 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 559/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:12:57
2025-11-12 13:41:47.807 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 559/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 7.2, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 3.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:12:54
2025-11-12 13:41:48.650 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:41:48.681 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch560
2025-11-12 13:41:50.361 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 560/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:12:50
2025-11-12 13:41:52.059 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 560/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:12:47
2025-11-12 13:41:53.831 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 560/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:12:44
2025-11-12 13:41:55.698 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 560/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:12:41
2025-11-12 13:41:57.473 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 560/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:12:38
2025-11-12 13:41:59.413 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 560/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.001s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.8, lr: 5.000e-04, size: 320, ETA: 0:12:35
2025-11-12 13:42:00.154 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:42:04.916 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:42:05.952 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:42:06.620 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6352
2025-11-12 13:42:06.754 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5742
2025-11-12 13:42:06.795 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4370
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5488
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.635
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.574
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.437
2025-11-12 13:42:06.796 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.549
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:42:06.797 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:42:07.644 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:42:08.459 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:42:09.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:42:10.113 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:42:10.957 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:42:11.762 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:42:12.617 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:42:13.429 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:42:14.268 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:42:14.268 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:42:14.268 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:42:14.269 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:42:14.275 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.72 ms, Average inference time: 1.34 ms

2025-11-12 13:42:14.277 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:42:14.299 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:42:14.327 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch561
2025-11-12 13:42:16.074 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 561/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.8, l1_loss: 1.0, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:12:31
2025-11-12 13:42:17.810 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 561/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:12:28
2025-11-12 13:42:19.612 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 561/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:12:25
2025-11-12 13:42:21.448 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 561/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:12:22
2025-11-12 13:42:23.376 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 561/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:12:19
2025-11-12 13:42:25.084 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 561/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.003s, total_loss: 6.7, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:12:16
2025-11-12 13:42:25.923 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:42:25.954 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch562
2025-11-12 13:42:27.738 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 562/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:12:11
2025-11-12 13:42:29.709 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 562/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:12:08
2025-11-12 13:42:31.564 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 562/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:12:05
2025-11-12 13:42:33.455 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 562/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:12:02
2025-11-12 13:42:35.269 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 562/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.4, iou_loss: 1.7, l1_loss: 0.4, conf_loss: 0.8, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:11:59
2025-11-12 13:42:36.957 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 562/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.079s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:11:56
2025-11-12 13:42:37.854 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:42:37.884 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch563
2025-11-12 13:42:39.671 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 563/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:11:52
2025-11-12 13:42:41.454 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 563/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:11:49
2025-11-12 13:42:43.408 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 563/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:11:46
2025-11-12 13:42:45.171 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 563/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:11:43
2025-11-12 13:42:46.982 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 563/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 1.1, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:11:40
2025-11-12 13:42:48.998 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 563/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.099s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:11:37
2025-11-12 13:42:49.841 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:42:49.870 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch564
2025-11-12 13:42:51.640 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 564/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:11:33
2025-11-12 13:42:53.385 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 564/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:11:30
2025-11-12 13:42:55.107 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 564/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 6.3, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:11:27
2025-11-12 13:42:56.963 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 564/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:11:24
2025-11-12 13:42:58.736 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 564/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:11:21
2025-11-12 13:43:00.542 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 564/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:11:18
2025-11-12 13:43:01.354 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:43:01.394 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch565
2025-11-12 13:43:03.116 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 565/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:11:13
2025-11-12 13:43:04.817 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 565/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:11:10
2025-11-12 13:43:06.624 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 565/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:11:07
2025-11-12 13:43:08.440 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 565/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:11:04
2025-11-12 13:43:10.218 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 565/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:11:01
2025-11-12 13:43:11.951 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 565/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 1.0, lr: 5.000e-04, size: 256, ETA: 0:10:58
2025-11-12 13:43:12.774 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:43:17.579 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:43:18.541 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:43:19.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6305
2025-11-12 13:43:19.311 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5592
2025-11-12 13:43:19.388 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4200
2025-11-12 13:43:19.389 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5366
2025-11-12 13:43:19.389 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:43:19.389 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:43:19.389 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.631
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.559
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.420
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.537
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:43:19.390 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:43:19.391 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:43:20.168 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:43:20.962 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:43:21.786 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:43:22.581 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:43:23.407 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:43:24.207 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:43:25.029 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:43:25.808 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:43:26.634 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:43:26.634 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:43:26.634 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 13:43:26.634 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:43:26.640 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.67 ms, Average inference time: 1.31 ms

2025-11-12 13:43:26.641 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:43:26.663 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:43:26.691 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch566
2025-11-12 13:43:28.530 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 566/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:10:54
2025-11-12 13:43:30.427 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 566/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:10:51
2025-11-12 13:43:32.315 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 566/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:10:48
2025-11-12 13:43:34.176 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 566/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.004s, total_loss: 4.6, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:10:45
2025-11-12 13:43:36.137 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 566/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.6, cls_loss: 0.8, lr: 5.000e-04, size: 288, ETA: 0:10:42
2025-11-12 13:43:37.910 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 566/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:10:39
2025-11-12 13:43:38.689 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:43:38.718 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch567
2025-11-12 13:43:40.587 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 567/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:10:35
2025-11-12 13:43:42.558 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 567/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 8.0, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 3.7, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:10:32
2025-11-12 13:43:44.359 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 567/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:10:29
2025-11-12 13:43:46.033 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 567/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:10:26
2025-11-12 13:43:47.777 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 567/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:10:23
2025-11-12 13:43:49.609 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 567/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:10:20
2025-11-12 13:43:50.444 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:43:50.479 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch568
2025-11-12 13:43:52.299 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 568/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:10:16
2025-11-12 13:43:54.160 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 568/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:10:13
2025-11-12 13:43:56.039 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 568/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:10:10
2025-11-12 13:43:57.995 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 568/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.6, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:10:07
2025-11-12 13:43:59.803 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 568/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.4, cls_loss: 1.0, lr: 5.000e-04, size: 288, ETA: 0:10:04
2025-11-12 13:44:01.629 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 568/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:10:01
2025-11-12 13:44:02.414 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:44:02.444 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch569
2025-11-12 13:44:04.143 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 569/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:09:56
2025-11-12 13:44:06.027 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 569/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:09:54
2025-11-12 13:44:07.851 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 569/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 3.9, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:09:51
2025-11-12 13:44:09.751 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 569/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:09:48
2025-11-12 13:44:11.555 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 569/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:09:45
2025-11-12 13:44:13.497 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 569/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:09:42
2025-11-12 13:44:14.372 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:44:14.402 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch570
2025-11-12 13:44:16.198 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 570/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.5, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:09:37
2025-11-12 13:44:18.099 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 570/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:09:34
2025-11-12 13:44:19.971 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 570/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:09:31
2025-11-12 13:44:21.917 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 570/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:09:28
2025-11-12 13:44:23.596 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 570/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 4.2, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:09:26
2025-11-12 13:44:25.445 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 570/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:09:23
2025-11-12 13:44:26.194 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:44:31.043 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:44:31.803 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:44:32.230 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6408
2025-11-12 13:44:32.377 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5854
2025-11-12 13:44:32.413 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4514
2025-11-12 13:44:32.413 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5592
2025-11-12 13:44:32.413 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:44:32.413 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.641
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.585
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.451
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.559
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:44:32.414 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:44:32.415 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:44:32.415 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:44:32.415 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:44:32.415 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:44:32.415 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:44:33.013 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:44:33.636 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:44:34.226 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:44:34.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:44:35.445 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:44:36.039 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:44:36.668 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:44:37.260 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:44:37.855 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:44:37.856 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:44:37.856 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.56
2025-11-12 13:44:37.856 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:44:37.862 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.64 ms, Average inference time: 1.26 ms

2025-11-12 13:44:37.863 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:44:37.886 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:44:37.913 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch571
2025-11-12 13:44:39.639 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 571/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:09:18
2025-11-12 13:44:41.494 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 571/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:09:15
2025-11-12 13:44:43.512 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 571/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.100s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:09:12
2025-11-12 13:44:45.460 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 571/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.3, l1_loss: 1.4, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:09:09
2025-11-12 13:44:47.407 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 571/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:09:06
2025-11-12 13:44:49.057 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 571/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 320, ETA: 0:09:03
2025-11-12 13:44:49.794 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:44:49.844 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch572
2025-11-12 13:44:51.643 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 572/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:08:59
2025-11-12 13:44:53.315 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 572/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:08:56
2025-11-12 13:44:55.056 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 572/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.8, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:08:53
2025-11-12 13:44:57.011 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 572/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:08:50
2025-11-12 13:44:58.941 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 572/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.5, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:08:47
2025-11-12 13:45:00.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 572/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 4.4, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:08:44
2025-11-12 13:45:01.580 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:45:01.611 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch573
2025-11-12 13:45:03.516 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 573/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:08:40
2025-11-12 13:45:05.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 573/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.4, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:08:37
2025-11-12 13:45:07.336 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 573/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.004s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:08:34
2025-11-12 13:45:09.240 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 573/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:08:31
2025-11-12 13:45:11.203 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 573/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:08:28
2025-11-12 13:45:12.911 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 573/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:08:25
2025-11-12 13:45:13.736 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:45:13.765 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch574
2025-11-12 13:45:15.591 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 574/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.8, lr: 5.000e-04, size: 448, ETA: 0:08:21
2025-11-12 13:45:17.303 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 574/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:08:18
2025-11-12 13:45:19.244 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 574/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:08:15
2025-11-12 13:45:21.207 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 574/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:08:12
2025-11-12 13:45:23.086 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 574/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:08:09
2025-11-12 13:45:24.872 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 574/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.2, l1_loss: 1.1, conf_loss: 2.3, cls_loss: 0.8, lr: 5.000e-04, size: 576, ETA: 0:08:06
2025-11-12 13:45:25.695 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:45:25.728 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch575
2025-11-12 13:45:27.584 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 575/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:08:02
2025-11-12 13:45:29.396 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 575/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 7.3, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 3.0, cls_loss: 0.8, lr: 5.000e-04, size: 480, ETA: 0:07:59
2025-11-12 13:45:31.359 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 575/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:07:56
2025-11-12 13:45:33.280 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 575/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:07:53
2025-11-12 13:45:35.250 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 575/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.7, l1_loss: 0.8, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:07:50
2025-11-12 13:45:37.012 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 575/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:07:47
2025-11-12 13:45:37.807 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:45:42.478 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:45:43.179 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:45:43.625 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6312
2025-11-12 13:45:43.709 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5754
2025-11-12 13:45:43.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4254
2025-11-12 13:45:43.783 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5440
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.631
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.575
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.425
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.544
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:45:43.784 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:45:43.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:45:43.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:45:43.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:45:43.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:45:43.785 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:45:44.339 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:45:44.892 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:45:45.452 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:45:46.013 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:45:46.602 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:45:47.150 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:45:47.701 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:45:48.252 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:45:48.805 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:45:48.806 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:45:48.806 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 13:45:48.806 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:45:48.813 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.65 ms, Average NMS time: 0.69 ms, Average inference time: 1.35 ms

2025-11-12 13:45:48.814 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:45:48.836 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:45:48.864 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch576
2025-11-12 13:45:50.740 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 576/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 3.7, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:07:43
2025-11-12 13:45:52.563 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 576/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.2, cls_loss: 0.8, lr: 5.000e-04, size: 352, ETA: 0:07:40
2025-11-12 13:45:54.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 576/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 3.3, iou_loss: 1.4, l1_loss: 0.4, conf_loss: 1.0, cls_loss: 0.4, lr: 5.000e-04, size: 448, ETA: 0:07:37
2025-11-12 13:45:56.227 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 576/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:07:34
2025-11-12 13:45:58.052 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 576/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:07:31
2025-11-12 13:45:59.896 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 576/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:07:28
2025-11-12 13:46:00.667 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:46:00.701 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch577
2025-11-12 13:46:02.656 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 577/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.004s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:07:24
2025-11-12 13:46:04.598 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 577/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.005s, total_loss: 6.5, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:07:21
2025-11-12 13:46:06.444 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 577/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:07:18
2025-11-12 13:46:08.341 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 577/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.6, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:07:15
2025-11-12 13:46:10.288 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 577/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:07:12
2025-11-12 13:46:12.081 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 577/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:07:10
2025-11-12 13:46:13.010 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:46:13.055 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch578
2025-11-12 13:46:14.840 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 578/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 0.9, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:07:05
2025-11-12 13:46:16.654 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 578/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 3.2, iou_loss: 1.4, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.4, lr: 5.000e-04, size: 416, ETA: 0:07:02
2025-11-12 13:46:18.332 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 578/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:06:59
2025-11-12 13:46:20.072 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 578/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:06:56
2025-11-12 13:46:21.923 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 578/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 4.4, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 0.9, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:06:54
2025-11-12 13:46:23.657 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 578/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:06:51
2025-11-12 13:46:24.474 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:46:24.505 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch579
2025-11-12 13:46:26.419 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 579/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.001s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:06:46
2025-11-12 13:46:28.389 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 579/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.003s, total_loss: 4.0, iou_loss: 1.7, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:06:43
2025-11-12 13:46:30.065 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 579/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:06:40
2025-11-12 13:46:31.815 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 579/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 1.2, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:06:38
2025-11-12 13:46:33.737 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 579/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:06:35
2025-11-12 13:46:35.571 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 579/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:06:32
2025-11-12 13:46:36.351 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:46:36.382 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch580
2025-11-12 13:46:38.208 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 580/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:06:27
2025-11-12 13:46:40.022 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 580/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.9, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:06:25
2025-11-12 13:46:41.885 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 580/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:06:22
2025-11-12 13:46:43.644 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 580/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:06:19
2025-11-12 13:46:45.425 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 580/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:06:16
2025-11-12 13:46:47.216 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 580/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.2, l1_loss: 0.6, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:06:13
2025-11-12 13:46:47.963 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:46:52.790 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:46:53.745 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:46:54.307 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6395
2025-11-12 13:46:54.457 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5768
2025-11-12 13:46:54.500 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4343
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5502
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.639
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.577
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.434
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.550
2025-11-12 13:46:54.501 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:46:54.502 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:46:55.275 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:46:56.058 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:46:56.820 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:46:57.615 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:46:58.354 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:46:59.098 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:46:59.871 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:47:00.612 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:47:01.382 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:47:01.382 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.31
2025-11-12 13:47:01.383 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.55
2025-11-12 13:47:01.383 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:47:01.389 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.61 ms, Average NMS time: 0.66 ms, Average inference time: 1.27 ms

2025-11-12 13:47:01.390 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:47:01.412 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:47:01.440 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch581
2025-11-12 13:47:03.228 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 581/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:06:09
2025-11-12 13:47:05.013 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 581/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.004s, total_loss: 3.8, iou_loss: 1.5, l1_loss: 0.5, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:06:06
2025-11-12 13:47:06.783 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 581/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.5Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:06:03
2025-11-12 13:47:08.534 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 581/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.7Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 4.1, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 320, ETA: 0:06:00
2025-11-12 13:47:10.342 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 581/600, iter: 100/129, gpu mem: 2795Mb, mem: 98.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.0, l1_loss: 1.2, conf_loss: 2.8, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:05:57
2025-11-12 13:47:12.255 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 581/600, iter: 120/129, gpu mem: 2795Mb, mem: 98.6Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:05:54
2025-11-12 13:47:13.146 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:47:13.176 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch582
2025-11-12 13:47:14.979 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 582/600, iter: 20/129, gpu mem: 2795Mb, mem: 101.1Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 256, ETA: 0:05:50
2025-11-12 13:47:16.925 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 582/600, iter: 40/129, gpu mem: 2795Mb, mem: 101.5Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 4.3, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 576, ETA: 0:05:47
2025-11-12 13:47:18.750 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 582/600, iter: 60/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:05:44
2025-11-12 13:47:20.626 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 582/600, iter: 80/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.4, l1_loss: 1.3, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:05:41
2025-11-12 13:47:22.509 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 582/600, iter: 100/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.0, l1_loss: 0.5, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:05:38
2025-11-12 13:47:24.424 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 582/600, iter: 120/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:05:35
2025-11-12 13:47:25.188 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:47:25.232 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch583
2025-11-12 13:47:26.974 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 583/600, iter: 20/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 352, ETA: 0:05:31
2025-11-12 13:47:28.722 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 583/600, iter: 40/129, gpu mem: 2795Mb, mem: 101.6Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:05:28
2025-11-12 13:47:30.534 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 583/600, iter: 60/129, gpu mem: 2795Mb, mem: 101.6Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:05:25
2025-11-12 13:47:32.357 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 583/600, iter: 80/129, gpu mem: 2795Mb, mem: 101.6Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:05:22
2025-11-12 13:47:34.227 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 583/600, iter: 100/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 6.1, iou_loss: 2.1, l1_loss: 1.0, conf_loss: 2.1, cls_loss: 0.9, lr: 5.000e-04, size: 544, ETA: 0:05:19
2025-11-12 13:47:35.993 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 583/600, iter: 120/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:05:16
2025-11-12 13:47:36.814 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:47:36.845 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch584
2025-11-12 13:47:38.545 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 584/600, iter: 20/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:05:12
2025-11-12 13:47:40.345 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 584/600, iter: 40/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:05:09
2025-11-12 13:47:42.251 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 584/600, iter: 60/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:05:06
2025-11-12 13:47:43.936 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 584/600, iter: 80/129, gpu mem: 2795Mb, mem: 101.7Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 3.5, iou_loss: 1.4, l1_loss: 0.4, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:05:03
2025-11-12 13:47:45.863 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 584/600, iter: 100/129, gpu mem: 2795Mb, mem: 101.6Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.9, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:05:01
2025-11-12 13:47:47.766 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 584/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:04:58
2025-11-12 13:47:48.598 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:47:48.636 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch585
2025-11-12 13:47:50.567 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 585/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 9.8, iou_loss: 3.2, l1_loss: 1.2, conf_loss: 4.4, cls_loss: 0.9, lr: 5.000e-04, size: 256, ETA: 0:04:53
2025-11-12 13:47:52.328 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 585/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.3, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:04:51
2025-11-12 13:47:54.013 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 585/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.083s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 384, ETA: 0:04:48
2025-11-12 13:47:55.842 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 585/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.6, iou_loss: 2.7, l1_loss: 1.1, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:04:45
2025-11-12 13:47:57.708 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 585/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 4.6, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:04:42
2025-11-12 13:47:59.575 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 585/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.7, lr: 5.000e-04, size: 480, ETA: 0:04:39
2025-11-12 13:48:00.412 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:05.198 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:48:05.825 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:48:06.234 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6351
2025-11-12 13:48:06.309 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5627
2025-11-12 13:48:06.341 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4170
2025-11-12 13:48:06.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5383
2025-11-12 13:48:06.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:48:06.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:48:06.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.635
2025-11-12 13:48:06.342 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.563
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.417
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.538
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:48:06.343 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:48:06.344 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:48:06.850 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:48:07.357 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:48:07.872 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:48:08.407 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:48:08.903 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:48:09.400 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:48:09.898 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:48:10.401 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:48:10.908 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:48:10.908 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:48:10.909 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 13:48:10.909 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:48:10.915 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.67 ms, Average NMS time: 0.71 ms, Average inference time: 1.38 ms

2025-11-12 13:48:10.916 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:10.938 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:10.965 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch586
2025-11-12 13:48:13.032 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 586/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.102s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:04:35
2025-11-12 13:48:14.824 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 586/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 4.4, iou_loss: 1.7, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:04:32
2025-11-12 13:48:16.791 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 586/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.3, l1_loss: 0.9, conf_loss: 2.6, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:04:29
2025-11-12 13:48:18.701 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 586/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:04:26
2025-11-12 13:48:20.623 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 586/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.8, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:04:23
2025-11-12 13:48:22.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 586/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:04:20
2025-11-12 13:48:23.429 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:23.471 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch587
2025-11-12 13:48:25.371 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 587/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:04:16
2025-11-12 13:48:27.336 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 587/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:04:13
2025-11-12 13:48:29.136 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 587/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:04:10
2025-11-12 13:48:30.992 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 587/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:04:07
2025-11-12 13:48:33.025 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 587/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 3.8, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.0, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:04:04
2025-11-12 13:48:34.921 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 587/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:04:02
2025-11-12 13:48:35.697 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:35.726 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch588
2025-11-12 13:48:37.489 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 588/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 7.0, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 2.8, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:03:57
2025-11-12 13:48:39.292 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 588/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 5.4, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:03:54
2025-11-12 13:48:41.184 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 588/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:03:52
2025-11-12 13:48:43.109 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 588/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:03:49
2025-11-12 13:48:45.010 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 588/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.4, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.0, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:03:46
2025-11-12 13:48:46.786 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 588/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.4, l1_loss: 1.1, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:03:43
2025-11-12 13:48:47.748 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:47.784 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch589
2025-11-12 13:48:49.584 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 589/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 3.6, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.4, lr: 5.000e-04, size: 544, ETA: 0:03:39
2025-11-12 13:48:51.496 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 589/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.005s, total_loss: 5.4, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:03:36
2025-11-12 13:48:53.406 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 589/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.8, l1_loss: 0.6, conf_loss: 2.0, cls_loss: 0.5, lr: 5.000e-04, size: 416, ETA: 0:03:33
2025-11-12 13:48:55.309 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 589/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.9, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:03:30
2025-11-12 13:48:56.976 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 589/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.081s, data_time: 0.003s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:03:27
2025-11-12 13:48:58.755 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 589/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:03:24
2025-11-12 13:48:59.607 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:48:59.640 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch590
2025-11-12 13:49:01.559 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 590/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.095s, data_time: 0.002s, total_loss: 5.9, iou_loss: 2.5, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:03:20
2025-11-12 13:49:03.279 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 590/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.003s, total_loss: 4.6, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:03:17
2025-11-12 13:49:05.090 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 590/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:03:14
2025-11-12 13:49:06.758 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 590/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.5, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 256, ETA: 0:03:11
2025-11-12 13:49:08.478 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 590/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 5.7, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.7, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:03:09
2025-11-12 13:49:10.288 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 590/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:03:06
2025-11-12 13:49:11.152 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:49:15.842 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:49:16.460 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:49:16.847 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6169
2025-11-12 13:49:16.934 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5687
2025-11-12 13:49:16.972 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4206
2025-11-12 13:49:16.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5354
2025-11-12 13:49:16.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:49:16.973 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.617
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.569
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.421
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.535
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:49:16.974 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:49:16.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:49:16.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:49:16.975 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:49:17.518 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:49:18.003 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:49:18.487 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:49:18.965 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:49:19.440 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:49:19.921 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:49:20.404 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:49:20.885 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:49:21.361 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:49:21.362 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:49:21.362 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 13:49:21.362 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:49:21.368 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.63 ms, Average NMS time: 0.64 ms, Average inference time: 1.26 ms

2025-11-12 13:49:21.369 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:49:21.391 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:49:21.417 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch591
2025-11-12 13:49:23.241 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 591/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 5.6, iou_loss: 2.4, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:03:01
2025-11-12 13:49:25.079 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 591/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.004s, total_loss: 5.2, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 320, ETA: 0:02:59
2025-11-12 13:49:27.168 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 591/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.101s, data_time: 0.002s, total_loss: 4.5, iou_loss: 2.1, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:02:56
2025-11-12 13:49:28.844 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 591/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 4.7, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:02:53
2025-11-12 13:49:30.672 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 591/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:02:50
2025-11-12 13:49:32.557 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 591/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 1.0, conf_loss: 2.0, cls_loss: 0.7, lr: 5.000e-04, size: 512, ETA: 0:02:47
2025-11-12 13:49:33.355 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:49:33.385 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch592
2025-11-12 13:49:35.278 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 592/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.5, iou_loss: 1.9, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:02:43
2025-11-12 13:49:37.069 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 592/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:02:40
2025-11-12 13:49:38.783 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 592/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 6.8, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:02:37
2025-11-12 13:49:40.665 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 592/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.8, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:02:34
2025-11-12 13:49:42.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 592/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.1, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.1, cls_loss: 0.7, lr: 5.000e-04, size: 448, ETA: 0:02:31
2025-11-12 13:49:44.224 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 592/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:02:28
2025-11-12 13:49:44.998 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:49:45.035 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch593
2025-11-12 13:49:46.939 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 593/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.1, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 1.1, cls_loss: 0.5, lr: 5.000e-04, size: 480, ETA: 0:02:24
2025-11-12 13:49:48.897 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 593/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 4.9, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:02:21
2025-11-12 13:49:50.588 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 593/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.081s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 448, ETA: 0:02:19
2025-11-12 13:49:52.343 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 593/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.7, iou_loss: 2.2, l1_loss: 0.7, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:02:16
2025-11-12 13:49:54.191 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 593/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.0, iou_loss: 1.5, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:02:13
2025-11-12 13:49:56.157 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 593/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.097s, data_time: 0.002s, total_loss: 4.9, iou_loss: 1.6, l1_loss: 0.9, conf_loss: 2.0, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:02:10
2025-11-12 13:49:56.957 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:49:56.991 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch594
2025-11-12 13:49:58.909 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 594/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.001s, total_loss: 5.8, iou_loss: 2.4, l1_loss: 0.9, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 384, ETA: 0:02:06
2025-11-12 13:50:00.654 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 594/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.084s, data_time: 0.002s, total_loss: 6.7, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.7, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:02:03
2025-11-12 13:50:02.502 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 594/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.001s, total_loss: 5.6, iou_loss: 2.3, l1_loss: 0.7, conf_loss: 1.8, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:02:00
2025-11-12 13:50:04.409 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 594/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.001s, total_loss: 4.6, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:01:57
2025-11-12 13:50:06.280 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 594/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 5.4, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:01:54
2025-11-12 13:50:08.133 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 594/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:01:51
2025-11-12 13:50:09.023 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:50:09.053 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch595
2025-11-12 13:50:10.771 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 595/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.4, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:01:47
2025-11-12 13:50:12.557 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 595/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.8, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:01:44
2025-11-12 13:50:14.319 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 595/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 5.1, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.5, lr: 5.000e-04, size: 544, ETA: 0:01:42
2025-11-12 13:50:16.156 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 595/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.2, iou_loss: 2.4, l1_loss: 0.8, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:01:39
2025-11-12 13:50:18.101 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 595/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.096s, data_time: 0.003s, total_loss: 6.8, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.7, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:01:36
2025-11-12 13:50:19.949 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 595/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.090s, data_time: 0.001s, total_loss: 5.6, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:01:33
2025-11-12 13:50:20.892 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:50:25.768 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:50:26.416 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:50:26.793 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6206
2025-11-12 13:50:26.907 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5663
2025-11-12 13:50:26.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.3900
2025-11-12 13:50:26.945 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5256
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.621
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.566
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.390
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.526
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:50:26.946 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:50:26.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:50:26.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:50:26.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:50:26.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:50:26.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:50:26.947 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:50:27.481 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:50:27.992 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:50:28.504 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:50:29.009 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:50:29.565 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:50:30.071 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:50:30.574 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:50:31.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:50:31.580 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:50:31.580 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.28
2025-11-12 13:50:31.581 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.53
2025-11-12 13:50:31.581 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:50:31.587 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.62 ms, Average NMS time: 0.72 ms, Average inference time: 1.33 ms

2025-11-12 13:50:31.587 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:50:31.609 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:50:31.636 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch596
2025-11-12 13:50:33.466 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 596/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.5, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:01:29
2025-11-12 13:50:35.265 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 596/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:01:26
2025-11-12 13:50:37.138 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 596/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.6, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 288, ETA: 0:01:23
2025-11-12 13:50:38.881 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 596/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.002s, total_loss: 6.4, iou_loss: 2.4, l1_loss: 1.0, conf_loss: 2.3, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:01:20
2025-11-12 13:50:40.794 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 596/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 7.5, iou_loss: 2.9, l1_loss: 1.0, conf_loss: 2.9, cls_loss: 0.7, lr: 5.000e-04, size: 416, ETA: 0:01:17
2025-11-12 13:50:42.608 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 596/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 5.3, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 1.6, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:01:14
2025-11-12 13:50:43.495 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:50:43.535 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch597
2025-11-12 13:50:45.410 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 597/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.1, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:01:10
2025-11-12 13:50:47.264 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 597/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.091s, data_time: 0.003s, total_loss: 5.9, iou_loss: 2.3, l1_loss: 1.0, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 576, ETA: 0:01:07
2025-11-12 13:50:49.074 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 597/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.003s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.8, conf_loss: 1.5, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:01:05
2025-11-12 13:50:50.917 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 597/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.089s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:01:02
2025-11-12 13:50:52.672 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 597/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.9, iou_loss: 2.7, l1_loss: 0.9, conf_loss: 2.7, cls_loss: 0.7, lr: 5.000e-04, size: 256, ETA: 0:00:59
2025-11-12 13:50:54.492 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 597/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.003s, total_loss: 6.5, iou_loss: 2.5, l1_loss: 0.9, conf_loss: 2.4, cls_loss: 0.7, lr: 5.000e-04, size: 544, ETA: 0:00:56
2025-11-12 13:50:55.318 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:50:55.359 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch598
2025-11-12 13:50:57.169 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 598/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.088s, data_time: 0.002s, total_loss: 7.3, iou_loss: 2.6, l1_loss: 1.4, conf_loss: 2.5, cls_loss: 0.7, lr: 5.000e-04, size: 576, ETA: 0:00:52
2025-11-12 13:50:59.075 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 598/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.003s, total_loss: 5.3, iou_loss: 1.9, l1_loss: 0.8, conf_loss: 2.0, cls_loss: 0.6, lr: 5.000e-04, size: 512, ETA: 0:00:49
2025-11-12 13:51:00.983 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 598/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 4.3, iou_loss: 1.9, l1_loss: 0.6, conf_loss: 1.3, cls_loss: 0.6, lr: 5.000e-04, size: 288, ETA: 0:00:46
2025-11-12 13:51:02.855 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 598/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 4.8, iou_loss: 2.0, l1_loss: 0.7, conf_loss: 1.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:00:43
2025-11-12 13:51:04.733 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 598/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.093s, data_time: 0.002s, total_loss: 3.4, iou_loss: 1.6, l1_loss: 0.4, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:00:40
2025-11-12 13:51:06.429 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 598/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.082s, data_time: 0.002s, total_loss: 3.9, iou_loss: 1.7, l1_loss: 0.5, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 288, ETA: 0:00:38
2025-11-12 13:51:07.332 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:51:07.395 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch599
2025-11-12 13:51:09.185 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 599/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.1, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.7, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:00:33
2025-11-12 13:51:11.114 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 599/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.005s, total_loss: 4.7, iou_loss: 2.1, l1_loss: 0.8, conf_loss: 1.2, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:00:31
2025-11-12 13:51:12.833 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 599/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.085s, data_time: 0.002s, total_loss: 4.7, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.4, cls_loss: 0.6, lr: 5.000e-04, size: 384, ETA: 0:00:28
2025-11-12 13:51:14.705 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 599/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.092s, data_time: 0.002s, total_loss: 4.8, iou_loss: 1.9, l1_loss: 0.9, conf_loss: 1.6, cls_loss: 0.5, lr: 5.000e-04, size: 512, ETA: 0:00:25
2025-11-12 13:51:16.543 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 599/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.090s, data_time: 0.002s, total_loss: 6.0, iou_loss: 2.2, l1_loss: 1.0, conf_loss: 2.2, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:00:22
2025-11-12 13:51:18.461 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 599/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.094s, data_time: 0.002s, total_loss: 5.2, iou_loss: 1.8, l1_loss: 0.7, conf_loss: 2.1, cls_loss: 0.6, lr: 5.000e-04, size: 544, ETA: 0:00:19
2025-11-12 13:51:19.347 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:51:19.385 | INFO     | yolox_microbt.core.trainer:before_epoch:190 - ---> start train epoch600
2025-11-12 13:51:21.066 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 600/600, iter: 20/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.083s, data_time: 0.003s, total_loss: 5.0, iou_loss: 2.0, l1_loss: 0.6, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 480, ETA: 0:00:15
2025-11-12 13:51:22.855 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 600/600, iter: 40/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 3.5, iou_loss: 1.6, l1_loss: 0.5, conf_loss: 0.9, cls_loss: 0.5, lr: 5.000e-04, size: 352, ETA: 0:00:12
2025-11-12 13:51:24.617 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 600/600, iter: 60/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 6.2, iou_loss: 2.2, l1_loss: 0.8, conf_loss: 2.5, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:00:09
2025-11-12 13:51:26.612 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 600/600, iter: 80/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.098s, data_time: 0.001s, total_loss: 3.8, iou_loss: 1.6, l1_loss: 0.6, conf_loss: 1.2, cls_loss: 0.5, lr: 5.000e-04, size: 448, ETA: 0:00:06
2025-11-12 13:51:28.379 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 600/600, iter: 100/129, gpu mem: 2795Mb, mem: 97.2Gb, iter_time: 0.087s, data_time: 0.002s, total_loss: 5.5, iou_loss: 2.3, l1_loss: 0.8, conf_loss: 1.8, cls_loss: 0.6, lr: 5.000e-04, size: 352, ETA: 0:00:04
2025-11-12 13:51:30.143 | INFO     | yolox_microbt.core.trainer:after_iter:258 - epoch: 600/600, iter: 120/129, gpu mem: 2795Mb, mem: 97.3Gb, iter_time: 0.086s, data_time: 0.003s, total_loss: 5.3, iou_loss: 2.1, l1_loss: 0.7, conf_loss: 1.9, cls_loss: 0.6, lr: 5.000e-04, size: 416, ETA: 0:00:01
2025-11-12 13:51:30.937 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:51:35.824 | INFO     | yolox.evaluators.voc_evaluator:evaluate_prediction:144 - Evaluate in main process...
2025-11-12 13:51:36.602 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.50
2025-11-12 13:51:37.106 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for person = 0.6331
2025-11-12 13:51:37.209 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for car = 0.5698
2025-11-12 13:51:37.279 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:324 - AP for dog = 0.4127
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:329 - Mean AP = 0.5385
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:330 - ~~~~~~~~
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:331 - Results:
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.633
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.570
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:333 - 0.413
2025-11-12 13:51:37.280 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:334 - 0.539
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:335 - ~~~~~~~~
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:336 - 
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:337 - --------------------------------------------------------------
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:338 - Results computed with the **unofficial** Python eval code.
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:339 - Results should be very close to the official MATLAB eval code.
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:340 - Recompute with `./tools/reval.py --matlab ...` for your paper.
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:341 - -- Thanks, The Management
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:342 - --------------------------------------------------------------
2025-11-12 13:51:37.281 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.55
2025-11-12 13:51:37.911 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.60
2025-11-12 13:51:38.547 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.65
2025-11-12 13:51:39.191 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.70
2025-11-12 13:51:39.841 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.75
2025-11-12 13:51:40.455 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.80
2025-11-12 13:51:41.073 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.85
2025-11-12 13:51:41.725 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.90
2025-11-12 13:51:42.339 | INFO     | yolox_microbt.data.datasets.voc:_do_python_eval:304 - Eval IoU : 0.95
2025-11-12 13:51:42.950 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:252 - --------------------------------------------------------------
2025-11-12 13:51:42.951 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:253 - map_5095: 0.30
2025-11-12 13:51:42.951 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:254 - map_50: 0.54
2025-11-12 13:51:42.951 | INFO     | yolox_microbt.data.datasets.voc:evaluate_detections:255 - --------------------------------------------------------------
2025-11-12 13:51:42.957 | INFO     | yolox_microbt.core.trainer:evaluate_and_save_model:368 - 
Average forward time: 0.64 ms, Average NMS time: 0.70 ms, Average inference time: 1.35 ms

2025-11-12 13:51:42.958 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:51:42.984 | INFO     | yolox_microbt.core.trainer:save_ckpt:389 - Save weights to ./YOLOX_outputs/sa6921_vnne_3classes_voc_float_600e_185k_trainset_rgb
2025-11-12 13:51:43.011 | INFO     | yolox_microbt.core.trainer:after_train:172 - Training of experiment is done and the best AP is 31.95
