50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
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import numpy as np
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from skimage.segmentation import quickshift
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from skimage._shared.testing import (assert_greater, test_parallel,
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assert_equal, assert_array_equal)
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@test_parallel()
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def test_grey():
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rnd = np.random.RandomState(0)
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img = np.zeros((20, 21))
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img[:10, 10:] = 0.2
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img[10:, :10] = 0.4
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img[10:, 10:] = 0.6
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img += 0.1 * rnd.normal(size=img.shape)
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seg = quickshift(img, kernel_size=2, max_dist=3, random_seed=0,
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convert2lab=False, sigma=0)
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# we expect 4 segments:
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assert_equal(len(np.unique(seg)), 4)
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# that mostly respect the 4 regions:
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for i in range(4):
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hist = np.histogram(img[seg == i], bins=[0, 0.1, 0.3, 0.5, 1])[0]
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assert_greater(hist[i], 20)
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def test_color():
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rnd = np.random.RandomState(0)
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img = np.zeros((20, 21, 3))
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img[:10, :10, 0] = 1
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img[10:, :10, 1] = 1
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img[10:, 10:, 2] = 1
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img += 0.01 * rnd.normal(size=img.shape)
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img[img > 1] = 1
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img[img < 0] = 0
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seg = quickshift(img, random_seed=0, max_dist=30, kernel_size=10, sigma=0)
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# we expect 4 segments:
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assert_equal(len(np.unique(seg)), 4)
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assert_array_equal(seg[:10, :10], 1)
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assert_array_equal(seg[10:, :10], 2)
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assert_array_equal(seg[:10, 10:], 0)
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assert_array_equal(seg[10:, 10:], 3)
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seg2 = quickshift(img, kernel_size=1, max_dist=2, random_seed=0,
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convert2lab=False, sigma=0)
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# very oversegmented:
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assert_equal(len(np.unique(seg2)), 7)
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# still don't cross lines
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assert (seg2[9, :] != seg2[10, :]).all()
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assert (seg2[:, 9] != seg2[:, 10]).all()
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