mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-27 11:27:08 +08:00
Disable catch of all warnings, return nan params instead
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@@ -265,8 +265,12 @@ class ProjectiveTransform(GeometricTransform):
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"""
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src_matrix, src = _center_and_normalize_points(src)
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dst_matrix, dst = _center_and_normalize_points(dst)
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try:
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src_matrix, src = _center_and_normalize_points(src)
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dst_matrix, dst = _center_and_normalize_points(dst)
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except ZeroDivisionError:
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self.params = np.nan * np.empty((3, 3))
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return
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xs = src[:, 0]
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ys = src[:, 1]
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@@ -652,8 +656,12 @@ class SimilarityTransform(ProjectiveTransform):
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"""
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src_matrix, src = _center_and_normalize_points(src)
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dst_matrix, dst = _center_and_normalize_points(dst)
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try:
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src_matrix, src = _center_and_normalize_points(src)
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dst_matrix, dst = _center_and_normalize_points(dst)
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except ZeroDivisionError:
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self.params = np.nan * np.empty((3, 3))
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return
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xs = src[:, 0]
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ys = src[:, 1]
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@@ -1,5 +1,5 @@
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import numpy as np
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from numpy.testing import (assert_equal, assert_array_almost_equal,
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from numpy.testing import (assert_equal, assert_almost_equal,
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assert_raises)
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from skimage.transform._geometric import _stackcopy
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from skimage.transform._geometric import GeometricTransform
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@@ -38,7 +38,7 @@ def test_stackcopy():
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y = np.eye(3, 3)
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_stackcopy(x, y)
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for i in range(layers):
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assert_array_almost_equal(x[..., i], y)
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assert_almost_equal(x[..., i], y)
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def test_estimate_transform():
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@@ -56,20 +56,20 @@ def test_matrix_transform():
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def test_similarity_estimation():
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# exact solution
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tform = estimate_transform('similarity', SRC[:2, :], DST[:2, :])
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assert_array_almost_equal(tform(SRC[:2, :]), DST[:2, :])
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assert_almost_equal(tform(SRC[:2, :]), DST[:2, :])
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assert_equal(tform.params[0, 0], tform.params[1, 1])
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assert_equal(tform.params[0, 1], - tform.params[1, 0])
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# over-determined
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tform2 = estimate_transform('similarity', SRC, DST)
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assert_array_almost_equal(tform2.inverse(tform2(SRC)), SRC)
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assert_almost_equal(tform2.inverse(tform2(SRC)), SRC)
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assert_equal(tform2.params[0, 0], tform2.params[1, 1])
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assert_equal(tform2.params[0, 1], - tform2.params[1, 0])
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# via estimate method
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tform3 = SimilarityTransform()
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tform3.estimate(SRC, DST)
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assert_array_almost_equal(tform3.params, tform2.params)
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assert_almost_equal(tform3.params, tform2.params)
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def test_similarity_init():
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@@ -79,15 +79,15 @@ def test_similarity_init():
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translation = (1, 1)
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tform = SimilarityTransform(scale=scale, rotation=rotation,
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translation=translation)
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assert_array_almost_equal(tform.scale, scale)
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assert_array_almost_equal(tform.rotation, rotation)
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assert_array_almost_equal(tform.translation, translation)
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assert_almost_equal(tform.scale, scale)
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assert_almost_equal(tform.rotation, rotation)
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assert_almost_equal(tform.translation, translation)
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# init with transformation matrix
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tform2 = SimilarityTransform(tform.params)
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assert_array_almost_equal(tform2.scale, scale)
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assert_array_almost_equal(tform2.rotation, rotation)
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assert_array_almost_equal(tform2.translation, translation)
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assert_almost_equal(tform2.scale, scale)
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assert_almost_equal(tform2.rotation, rotation)
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assert_almost_equal(tform2.translation, translation)
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# test special case for scale if rotation=0
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scale = 0.1
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@@ -95,9 +95,9 @@ def test_similarity_init():
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translation = (1, 1)
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tform = SimilarityTransform(scale=scale, rotation=rotation,
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translation=translation)
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assert_array_almost_equal(tform.scale, scale)
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assert_array_almost_equal(tform.rotation, rotation)
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assert_array_almost_equal(tform.translation, translation)
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assert_almost_equal(tform.scale, scale)
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assert_almost_equal(tform.rotation, rotation)
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assert_almost_equal(tform.translation, translation)
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# test special case for scale if rotation=90deg
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@@ -106,24 +106,24 @@ def test_similarity_init():
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translation = (1, 1)
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tform = SimilarityTransform(scale=scale, rotation=rotation,
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translation=translation)
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assert_array_almost_equal(tform.scale, scale)
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assert_array_almost_equal(tform.rotation, rotation)
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assert_array_almost_equal(tform.translation, translation)
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assert_almost_equal(tform.scale, scale)
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assert_almost_equal(tform.rotation, rotation)
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assert_almost_equal(tform.translation, translation)
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def test_affine_estimation():
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# exact solution
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tform = estimate_transform('affine', SRC[:3, :], DST[:3, :])
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assert_array_almost_equal(tform(SRC[:3, :]), DST[:3, :])
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assert_almost_equal(tform(SRC[:3, :]), DST[:3, :])
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# over-determined
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tform2 = estimate_transform('affine', SRC, DST)
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assert_array_almost_equal(tform2.inverse(tform2(SRC)), SRC)
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assert_almost_equal(tform2.inverse(tform2(SRC)), SRC)
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# via estimate method
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tform3 = AffineTransform()
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tform3.estimate(SRC, DST)
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assert_array_almost_equal(tform3.params, tform2.params)
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assert_almost_equal(tform3.params, tform2.params)
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def test_affine_init():
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@@ -134,71 +134,71 @@ def test_affine_init():
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translation = (1, 1)
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tform = AffineTransform(scale=scale, rotation=rotation, shear=shear,
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translation=translation)
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assert_array_almost_equal(tform.scale, scale)
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assert_array_almost_equal(tform.rotation, rotation)
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assert_array_almost_equal(tform.shear, shear)
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assert_array_almost_equal(tform.translation, translation)
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assert_almost_equal(tform.scale, scale)
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assert_almost_equal(tform.rotation, rotation)
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assert_almost_equal(tform.shear, shear)
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assert_almost_equal(tform.translation, translation)
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# init with transformation matrix
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tform2 = AffineTransform(tform.params)
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assert_array_almost_equal(tform2.scale, scale)
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assert_array_almost_equal(tform2.rotation, rotation)
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assert_array_almost_equal(tform2.shear, shear)
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assert_array_almost_equal(tform2.translation, translation)
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assert_almost_equal(tform2.scale, scale)
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assert_almost_equal(tform2.rotation, rotation)
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assert_almost_equal(tform2.shear, shear)
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assert_almost_equal(tform2.translation, translation)
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def test_piecewise_affine():
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tform = PiecewiseAffineTransform()
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tform.estimate(SRC, DST)
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# make sure each single affine transform is exactly estimated
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assert_array_almost_equal(tform(SRC), DST)
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assert_array_almost_equal(tform.inverse(DST), SRC)
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assert_almost_equal(tform(SRC), DST)
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assert_almost_equal(tform.inverse(DST), SRC)
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def test_projective_estimation():
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# exact solution
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tform = estimate_transform('projective', SRC[:4, :], DST[:4, :])
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assert_array_almost_equal(tform(SRC[:4, :]), DST[:4, :])
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assert_almost_equal(tform(SRC[:4, :]), DST[:4, :])
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# over-determined
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tform2 = estimate_transform('projective', SRC, DST)
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assert_array_almost_equal(tform2.inverse(tform2(SRC)), SRC)
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assert_almost_equal(tform2.inverse(tform2(SRC)), SRC)
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# via estimate method
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tform3 = ProjectiveTransform()
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tform3.estimate(SRC, DST)
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assert_array_almost_equal(tform3.params, tform2.params)
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assert_almost_equal(tform3.params, tform2.params)
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def test_projective_init():
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tform = estimate_transform('projective', SRC, DST)
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# init with transformation matrix
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tform2 = ProjectiveTransform(tform.params)
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assert_array_almost_equal(tform2.params, tform.params)
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assert_almost_equal(tform2.params, tform.params)
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def test_polynomial_estimation():
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# over-determined
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tform = estimate_transform('polynomial', SRC, DST, order=10)
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assert_array_almost_equal(tform(SRC), DST, 6)
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assert_almost_equal(tform(SRC), DST, 6)
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# via estimate method
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tform2 = PolynomialTransform()
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tform2.estimate(SRC, DST, order=10)
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assert_array_almost_equal(tform2.params, tform.params)
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assert_almost_equal(tform2.params, tform.params)
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def test_polynomial_init():
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tform = estimate_transform('polynomial', SRC, DST, order=10)
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# init with transformation parameters
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tform2 = PolynomialTransform(tform.params)
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assert_array_almost_equal(tform2.params, tform.params)
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assert_almost_equal(tform2.params, tform.params)
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def test_polynomial_default_order():
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tform = estimate_transform('polynomial', SRC, DST)
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tform2 = estimate_transform('polynomial', SRC, DST, order=2)
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assert_array_almost_equal(tform2.params, tform.params)
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assert_almost_equal(tform2.params, tform.params)
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def test_polynomial_inverse():
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@@ -210,17 +210,17 @@ 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.params, tform3.params)
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assert_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.params, tform3.params)
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assert_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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assert_array_almost_equal((tform + tform.inverse).params, np.eye(3))
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assert_almost_equal((tform + tform.inverse).params, np.eye(3))
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def test_union_differing_types():
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@@ -260,6 +260,22 @@ def test_deprecated_params_attributes():
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assert_equal(tform._params, tform.params)
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def test_degenerate():
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src = dst = np.zeros((10, 2))
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tform = SimilarityTransform()
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tform.estimate(src, dst)
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assert np.all(np.isnan(tform.params))
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tform = AffineTransform()
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tform.estimate(src, dst)
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assert np.all(np.isnan(tform.params))
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tform = ProjectiveTransform()
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tform.estimate(src, dst)
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assert np.all(np.isnan(tform.params))
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if __name__ == "__main__":
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from numpy.testing import run_module_suite
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run_module_suite()
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