style: black format normalizer.py and test_normalizer.py
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2 changed files with 7 additions and 4 deletions
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@ -4,6 +4,7 @@ Landmark normalization for MediaPipe hand landmarks.
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Converts raw (21, 3) landmark array into a 63-element translation- and
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scale-invariant feature vector suitable for gesture classifiers.
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"""
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import numpy as np
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@ -32,7 +32,9 @@ def test_translation_invariance():
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def test_scale_invariance():
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pts_small = _synthetic_hand(scale=0.5)
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pts_large = _synthetic_hand(scale=2.0)
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np.testing.assert_allclose(normalize_hand(pts_small), normalize_hand(pts_large), atol=1e-5)
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np.testing.assert_allclose(
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normalize_hand(pts_small), normalize_hand(pts_large), atol=1e-5
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)
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def test_zero_scale_does_not_crash():
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