如何解决Yolov5训练中错误，yaml中的py

Question

我正在尝试在Google colab GPU免费版本中运行yolov5

!pip install PyYAML==5.3

我收到一个错误

Model Summary: 407 layers, 8.84875e+07 parameters, 8.84875e+07 gradients
    Optimizer groups: 134 .bias, 142 conv.weight, 131 other
    Traceback (most recent call last):
      File "/content/yolov5/train.py", line 116, in train
       ckpt['model'] = {k: v for k, v in ckpt['model'].float().state_dict().items()
      File "/content/yolov5/train.py", line 117, in <dictcomp>
        if model.state_dict()[k].shape == v.shape}  # to FP32, filter
    KeyError: 'model.18.conv.weight'

我在google colab中的命令是

!python /content/yolov5/train.py --img 640 --batch 4 --epochs 30 \
  --data /content/yolov5/data/clothing.yaml
  --cfg /content/yolov5/models/yolov5x.yaml \
  --weights yolov5x.pt \
  --name yolov5_clothing --cache

你能帮我解决这个问题吗？

谢谢

Answer 1

这个问题已经被yolo团队解决了，yolo团队要求我运行requirements.txt并再次下载yolo。

一切都很好，您可以在https://github.com/ultralytics/yolov5/issues/2181上查看更多详细信息

谢谢