mirror of
https://github.com/wassname/scikit-image.git
synced 2026-08-12 12:30:16 +08:00
Handle more warnings and reset io plugins as needed
Reset plugins prior to running collections test Handle warnings in morphology pkg Add __init__ for morpohology tests Handle warnings for novice pkg Handle warnings for restoration pkg Handle warnings for segmentation pkg Handle warnings for _shared pkg Handle warnings for transform pkg Handle warnings for util pkg Handle warnings in viewer module
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@@ -0,0 +1,2 @@
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import warnings
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warnings.simplefilter('error')
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@@ -7,6 +7,7 @@ from skimage.transform import (estimate_transform, matrix_transform,
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SimilarityTransform, AffineTransform,
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ProjectiveTransform, PolynomialTransform,
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PiecewiseAffineTransform)
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from skimage._shared.utils import all_warnings
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SRC = np.array([
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@@ -49,7 +50,7 @@ def test_estimate_transform():
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def test_matrix_transform():
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tform = AffineTransform(scale=(0.1, 0.5), rotation=2)
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assert_equal(tform(SRC), matrix_transform(SRC, tform._matrix))
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assert_equal(tform(SRC), matrix_transform(SRC, tform.params))
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def test_similarity_estimation():
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@@ -209,13 +210,13 @@ def test_union():
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tform2 = SimilarityTransform(scale=0.1, rotation=0.9)
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tform3 = SimilarityTransform(scale=0.1 ** 2, rotation=0.3 + 0.9)
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tform = tform1 + tform2
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assert_array_almost_equal(tform._matrix, tform3._matrix)
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assert_array_almost_equal(tform.params, tform3.params)
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tform1 = AffineTransform(scale=(0.1, 0.1), rotation=0.3)
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tform2 = SimilarityTransform(scale=0.1, rotation=0.9)
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tform3 = SimilarityTransform(scale=0.1 ** 2, rotation=0.3 + 0.9)
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tform = tform1 + tform2
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assert_array_almost_equal(tform._matrix, tform3._matrix)
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assert_array_almost_equal(tform.params, tform3.params)
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assert tform.__class__ == ProjectiveTransform
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tform = AffineTransform(scale=(0.1, 0.1), rotation=0.3)
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@@ -251,10 +252,12 @@ def test_invalid_input():
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def test_deprecated_params_attributes():
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for t in ('projective', 'affine', 'similarity'):
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tform = estimate_transform(t, SRC, DST)
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assert_equal(tform._matrix, tform.params)
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with all_warnings(): # _matrix is deprecated
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assert_equal(tform._matrix, tform.params)
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tform = estimate_transform('polynomial', SRC, DST, order=3)
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assert_equal(tform._params, tform.params)
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with all_warnings(): # _params is deprecated
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assert_equal(tform._params, tform.params)
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if __name__ == "__main__":
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@@ -3,6 +3,7 @@ from numpy.testing import assert_almost_equal, assert_equal
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import skimage.transform as tf
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from skimage.draw import line, circle_perimeter, ellipse_perimeter
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from skimage._shared.utils import all_warnings
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def append_desc(func, description):
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@@ -67,7 +68,8 @@ def test_hough_line_peaks():
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out, angles, d = tf.hough_line(img)
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out, theta, dist = tf.hough_line_peaks(out, angles, d)
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with all_warnings(): # _ccomp deprecation
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out, theta, dist = tf.hough_line_peaks(out, angles, d)
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assert_equal(len(dist), 1)
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assert_almost_equal(dist[0], 80.723, 1)
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@@ -79,13 +81,19 @@ def test_hough_line_peaks_dist():
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img[:, 30] = True
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img[:, 40] = True
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hspace, angles, dists = tf.hough_line(img)
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assert len(tf.hough_line_peaks(hspace, angles, dists,
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min_distance=5)[0]) == 2
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assert len(tf.hough_line_peaks(hspace, angles, dists,
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min_distance=15)[0]) == 1
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with all_warnings(): # _ccomp deprecation
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assert len(tf.hough_line_peaks(hspace, angles, dists,
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min_distance=5)[0]) == 2
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assert len(tf.hough_line_peaks(hspace, angles, dists,
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min_distance=15)[0]) == 1
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def test_hough_line_peaks_angle():
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with all_warnings(): # _ccomp deprecation
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check_hough_line_peaks_angle()
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def check_hough_line_peaks_angle():
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img = np.zeros((100, 100), dtype=np.bool_)
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img[:, 0] = True
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img[0, :] = True
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@@ -116,8 +124,9 @@ def test_hough_line_peaks_num():
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img[:, 30] = True
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img[:, 40] = True
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hspace, angles, dists = tf.hough_line(img)
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assert len(tf.hough_line_peaks(hspace, angles, dists, min_distance=0,
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min_angle=0, num_peaks=1)[0]) == 1
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with all_warnings(): # _ccomp deprecation
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assert len(tf.hough_line_peaks(hspace, angles, dists, min_distance=0,
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min_angle=0, num_peaks=1)[0]) == 1
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def test_hough_circle():
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