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Incompatible with NumPy 1.24+ #36

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SpecLad opened this issue Mar 23, 2023 · 0 comments
Open

Incompatible with NumPy 1.24+ #36

SpecLad opened this issue Mar 23, 2023 · 0 comments

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@SpecLad
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SpecLad commented Mar 23, 2023

NumPy 1.24 removed np.object, np.bool, np.float, np.complex, np.str, and np.int. Some of them are used in this project, so it no longer works when NumPy 1.24+ is installed:

$ python3 demo.py --checkpoint=./coco_lvis_h18_itermask.pth
Traceback (most recent call last):
  File "/tmp/ritm_interactive_segmentation/demo.py", line 57, in <module>
    main()
  File "/tmp/ritm_interactive_segmentation/demo.py", line 16, in main
    model = utils.load_is_model(checkpoint_path, args.device, cpu_dist_maps=True)
  File "/tmp/ritm_interactive_segmentation/isegm/inference/utils.py", line 33, in load_is_model
    return load_single_is_model(state_dict, device, **kwargs)
  File "/tmp/ritm_interactive_segmentation/isegm/inference/utils.py", line 37, in load_single_is_model
    model = load_model(state_dict['config'], **kwargs)
  File "/tmp/ritm_interactive_segmentation/isegm/utils/serialization.py", line 64, in load_model
    return model_class(**model_args)
  File "/tmp/ritm_interactive_segmentation/isegm/utils/serialization.py", line 39, in new_init
    init(self, *args, **kwargs)
  File "/tmp/ritm_interactive_segmentation/isegm/model/is_hrnet_model.py", line 15, in __init__
    self.feature_extractor = HighResolutionNet(width=width, ocr_width=ocr_width, small=small,
  File "/tmp/ritm_interactive_segmentation/isegm/model/modeling/hrnet_ocr.py", line 208, in __init__
    last_inp_channels = np.int(np.sum(pre_stage_channels))
  File "/tmp/venv/lib/python3.10/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. Did you mean: 'inf'?

This should be easy to fix - just remove the np. prefix.

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