81 lines
2.9 KiB
Python
81 lines
2.9 KiB
Python
import pytest
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import numpy as np
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from skimage._shared.testing import assert_array_equal
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from skimage import data
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from skimage.feature import BRIEF, corner_peaks, corner_harris
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from skimage._shared import testing
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def test_color_image_unsupported_error():
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"""Brief descriptors can be evaluated on gray-scale images only."""
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img = np.zeros((20, 20, 3))
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keypoints = np.asarray([[7, 5], [11, 13]])
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with testing.raises(ValueError):
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BRIEF().extract(img, keypoints)
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@pytest.mark.parametrize('dtype', ['float32', 'float64', 'uint8', 'int'])
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def test_normal_mode(dtype):
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"""Verify the computed BRIEF descriptors with expected for normal mode."""
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img = data.coins().astype(dtype)
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keypoints = corner_peaks(corner_harris(img), min_distance=5,
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threshold_abs=0, threshold_rel=0.1)
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extractor = BRIEF(descriptor_size=8, sigma=2)
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extractor.extract(img, keypoints[:8])
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expected = np.array([[1, 0, 1, 0, 0, 1, 0, 1],
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[1, 1, 1, 0, 1, 0, 1, 1],
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[1, 0, 1, 0, 0, 1, 0, 1],
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[0, 1, 0, 0, 1, 0, 1, 0],
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[1, 1, 1, 0, 0, 0, 1, 1],
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[1, 1, 1, 0, 1, 1, 1, 1],
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[1, 0, 1, 0, 0, 1, 0, 1],
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[0, 0, 0, 0, 0, 1, 0, 0]], dtype=bool)
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assert_array_equal(extractor.descriptors, expected)
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@pytest.mark.parametrize('dtype', ['float32', 'float64', 'uint8', 'int'])
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def test_uniform_mode(dtype):
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"""Verify the computed BRIEF descriptors with expected for uniform mode."""
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img = data.coins().astype(dtype)
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keypoints = corner_peaks(corner_harris(img), min_distance=5,
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threshold_abs=0, threshold_rel=0.1)
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extractor = BRIEF(descriptor_size=8, sigma=2, mode='uniform')
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extractor.extract(img, keypoints[:8])
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expected = np.array([[1, 1, 0, 0, 0, 0, 0, 0],
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[1, 1, 1, 0, 0, 1, 0, 0],
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[1, 1, 0, 0, 1, 0, 0, 0],
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[0, 0, 0, 1, 1, 1, 1, 1],
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[1, 1, 1, 0, 0, 1, 0, 0],
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[1, 1, 1, 1, 0, 1, 0, 0],
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[1, 1, 0, 0, 0, 1, 0, 0],
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[0, 1, 1, 1, 0, 1, 1, 1]], dtype=bool)
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assert_array_equal(extractor.descriptors, expected)
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def test_unsupported_mode():
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with testing.raises(ValueError):
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BRIEF(mode='foobar')
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@pytest.mark.parametrize('dtype', ['float32', 'float64', 'uint8', 'int'])
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def test_border(dtype):
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img = np.zeros((100, 100), dtype=dtype)
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keypoints = np.array([[1, 1], [20, 20], [50, 50], [80, 80]])
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extractor = BRIEF(patch_size=41)
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extractor.extract(img, keypoints)
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assert extractor.descriptors.shape[0] == 3
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assert_array_equal(extractor.mask, (False, True, True, True))
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