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Annotation uploading is not robust to some types #149

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ceesem opened this issue Feb 16, 2024 · 1 comment

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ceesem commented Feb 16, 2024

JSON encoding errors can occur with certain combinations of types. In particular, a list of numpy.int32s throws an error when used as a pt_position.

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bdpedigo commented Feb 16, 2024

np.integer might make some type checking more robust

print(isinstance(np.array([3], dtype=np.int64)[0], np.integer))
print(isinstance(np.array([3], dtype=np.int32)[0], np.integer))

True
True

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