hi,
there seems to be a minor issue with numpy version.
it is not specified what version you are using.
this pr fixed the below errors to suppoer numpy >= 1.20.0.
thanks
$ python singleImage.py -f img
Traceback (most recent call last):
File "~/SynergyNet/singleImage.py", line 129, in <module>
main(args)
File "~/SynergyNet/singleImage.py", line 28, in main
model = SynergyNet(args)
File "~/SynergyNet/model_building.py", line 69, in __init__
self.triangles = torch.Tensor(self.triangles.astype(np.int)).long().cuda()
File "~/venvs/env1/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'?
# Edit SynergyNet/model_building.py
$ python singleImage.py -f img
Process the image: img/sample_1.jpg
Traceback (most recent call last):
File "~/SynergyNet/singleImage.py", line 129, in <module>
main(args)
File "~/SynergyNet/singleImage.py", line 60, in main
rects = face_boxes(img_ori)
File "~/SynergyNet/FaceBoxes/FaceBoxes.py", line 122, in __call__
keep = nms(dets, nms_threshold)
File "~/SynergyNet/FaceBoxes/utils/nms_wrapper.py", line 18, in nms
return cpu_nms(dets, thresh)
File "nms/cpu_nms.pyx", line 29, in nms.cpu_nms.cpu_nms
File "~/venvs/env1/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
# Edit SynergyNet/FaceBoxes/utils/nms/cpu_nms.pyx
$ python singleImage.py -f img
Process the image: img/sample_1.jpg
Save mesh result to inference_output/rendering_overlay/sample_1.jpg
Save landmark result to inference_output/landmarks/sample_1.jpg
Save pose result to inference_output/poses/sample_1.jpg
Process the image: img/sample_2.jpg
Save mesh result to inference_output/rendering_overlay/sample_2.jpg
Save landmark result to inference_output/landmarks/sample_2.jpg
Save pose result to inference_output/poses/sample_2.jpg
Process the image: img/sample_3.jpg
Save mesh result to inference_output/rendering_overlay/sample_3.jpg
Save landmark result to inference_output/landmarks/sample_3.jpg
Save pose result to inference_output/poses/sample_3.jpg
Process the image: img/sample_4.jpg
Save mesh result to inference_output/rendering_overlay/sample_4.jpg
Save landmark result to inference_output/landmarks/sample_4.jpg
Save pose result to inference_output/poses/sample_4.jpg
hi, there seems to be a minor issue with numpy version. it is not specified what version you are using. this pr fixed the below errors to suppoer numpy >= 1.20.0.
thanks