运行YOLOV5时numpy版本报错调试_yolov5 numpy版本

今天在运行yolov5训练时报错：

Traceback (most recent call last):
  File "/home/wh/projects/DenseNet_Demo/train_resnet.py", line 17, in <module>
    from torchtoolbox.transform import Cutout
  File "/home/wh/anaconda3/envs/pytorch39/lib/python3.9/site-packages/torchtoolbox/transform/__init__.py", line 5, in <module>
    from .autoaugment import *
  File "/home/wh/anaconda3/envs/pytorch39/lib/python3.9/site-packages/torchtoolbox/transform/autoaugment.py", line 194, in <module>
    Compose([Posterize(0.4, 8), Rotate(0.6, 9)]),
  File "/home/wh/anaconda3/envs/pytorch39/lib/python3.9/site-packages/torchtoolbox/transform/autoaugment.py", line 104, in __init__
    ranges = np.round(np.linspace(8, 4, 10), 0).astype(np.int)
  File "/home/wh/anaconda3/envs/pytorch39/lib/python3.9/site-packages/numpy/__init__.py", line 305, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'int'.
`np.int` was a deprecated alias for the builtin `int`. To avoid this error in existing code, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

报错原因：我安装的是numpy最新版本1.26.0，没有np.int

解决方法：安装较低版本的numpy

pip uninstall numpy
pip install numpy==1.20.0

这个方法可以解决此问题，但是其他模块比如pandas可能要求numpy的版本要大于1.22.4，然后再更改numpy的版本，改成1.22.4也有np.int

pip uninstall numpy
pip install numpy==1.22.4

不建议更改源码，因为可能会有更多的报错。