YOLOv8训练报错：IndexError: list index out of range

Question

对YOLOv8进行训练时报如下错误：

      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size
      1/200      1.22G          0      3.662          0          0        576: 100%|██████████| 113/113 [00:08<00:00, 12.64it/s]
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 15/15 [00:19<00:00,  1.27s/it]
Traceback (most recent call last):
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\v8\detect\train.py", line 233, in <module>
    train()
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\v8\detect\train.py", line 229, in train
    trainer.train()
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\engine\trainer.py", line 188, in train
    self._do_train(RANK, world_size)
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\engine\trainer.py", line 349, in _do_train
    self.metrics, self.fitness = self.validate()
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\engine\trainer.py", line 445, in validate
    metrics = self.validator(self)
  File "D:\WorkSpace\PatternRecognition\Software\anaconda3\envs\fybsense\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\engine\validator.py", line 177, in __call__
    stats = self.get_stats()
  File "F:\mDOS-train-v2.0.1\ultralytics\yolo\v8\detect\val.py", line 121, in get_stats
    self.nt_per_class = np.bincount(stats[-1].astype(int), minlength=self.nc)  # number of targets per class
**IndexError: list index out of range**

Process finished with exit code 1

使用的是自己的数据集，图片大小600*94，类别3类，每类1500张图片

Answer 1

已解决