Update math/resize #406
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Update math/resize #406
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Pwhsky
approved these changes
Aug 15, 2025
deeptrack/tests/test_math.py
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| self.assertEqual(resized.shape, (4, 8)) | ||
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| ### Test with PyTorch tensor (if available) | ||
| if TORCH_AVAILABLE: |
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The unit tests look good, I think we should separate the torch and numpy cases by putting them in either the TestMath_Numpy or TestMath_Torch classes, since they provide the BACKEND flag in the first line which makes it easily readable, like I did in PR #407
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Updated docs of math/resize.
Made it compatible with torch, with a focus on getting the same results regardless if the input is a numpy array or a torch tensor.
Updated the unittesting, and included tests for torch