mirror of
https://github.com/wassname/scikit-image.git
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Juan Nunez-Iglesias
41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
import numpy as np
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from numpy.testing import assert_array_equal, assert_raises
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from skimage.segmentation import join_segmentations, relabel_from_one
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def test_join_segmentations():
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s1 = np.array([[0, 0, 1, 1],
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[0, 2, 1, 1],
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[2, 2, 2, 1]])
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s2 = np.array([[0, 1, 1, 0],
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[0, 1, 1, 0],
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[0, 1, 1, 1]])
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# test correct join
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# NOTE: technically, equality to j_ref is not required, only that there
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# is a one-to-one mapping between j and j_ref. I don't know of an easy way
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# to check this (i.e. not as error-prone as the function being tested)
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j = join_segmentations(s1, s2)
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j_ref = np.array([[0, 1, 3, 2],
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[0, 5, 3, 2],
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[4, 5, 5, 3]])
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assert_array_equal(j, j_ref)
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# test correct exception when arrays are different shapes
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s3 = np.array([[0, 0, 1, 1], [0, 2, 2, 1]])
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assert_raises(ValueError, join_segmentations, s1, s3)
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def test_relabel_from_one():
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ar = np.array([1, 1, 5, 5, 8, 99, 42])
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ar_relab, fw, inv = relabel_from_one(ar)
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ar_relab_ref = np.array([1, 1, 2, 2, 3, 5, 4])
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assert_array_equal(ar_relab, ar_relab_ref)
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fw_ref = np.zeros(100, int)
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fw_ref[1] = 1; fw_ref[5] = 2; fw_ref[8] = 3; fw_ref[42] = 4; fw_ref[99] = 5
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assert_array_equal(fw, fw_ref)
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inv_ref = np.array([0, 1, 5, 8, 42, 99])
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assert_array_equal(inv, inv_ref)
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if __name__ == "__main__":
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np.testing.run_module_suite()
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