module 'numpy' has no attribute 'bool'

module 'numpy' has no attribute 'bool'

问题：

Traceback (most recent call last):
  File "/home/test.py", line 138, in <module>
    inference(args, net, test_save_path)
  File "/home/test.py", line 54, in inference
    metric_i = test_single_volume(image, label, model, classes=args.num_classes, patch_size=[args.img_size, args.img_size],
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/utils.py", line 90, in test_single_volume
    metric_list.append(calculate_metric_percase(prediction == i, label == i))
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/utils.py", line 52, in calculate_metric_percase
    dice = metric.binary.dc(pred, gt)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/anaconda3/envs/python311/lib/python3.11/site-packages/medpy/metric/binary.py", line 68, in dc
    result = numpy.atleast_1d(result.astype(numpy.bool))
                                            ^^^^^^^^^^
  File "/home/anaconda3/envs/python311/lib/python3.11/site-packages/numpy/__init__.py", line 324, in __getattr__
    raise AttributeError(__former_attrs__[attr])
AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
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. Did you mean: 'bool_'?

原因：

不推荐使用np.bool和np.int等内置类型。在Numpy1.24.0 中不推荐的类型已经完全移除。当使用旧版本的时候就会出现这个问题。

解决：

使用未移除前的版本诸如numpy==1.23.2

pip install numpy==1.23.2