def test_tform_projective():
paramv = np.arange(8)
t = ProjectiveTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('projective', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == ProjectiveTransform().matrix)
def test_tform_similarity():
paramv = [2, np.pi / 3, 10, 20]
t = SimilarityTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('similarity', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == SimilarityTransform().matrix)
def test_tform_affine():
paramv = np.arange(6)
t = AffineTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('affine', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == AffineTransform().matrix)
def test_tform_affine():
paramv = np.arange(6)
t = AffineTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('affine', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == AffineTransform().matrix)
def test_tform_euclidean():
paramv = [np.pi / 3, 10, 20]
t = EuclideanTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('euclidean', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == EuclideanTransform().matrix)
def test_tform_projective():
paramv = np.arange(8)
t = ProjectiveTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('projective', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == ProjectiveTransform().matrix)
def test_tform_similarity():
paramv = [2, np.pi / 3, 10, 20]
t = SimilarityTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('similarity', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == SimilarityTransform().matrix)
def test_tform_euclidean():
paramv = [np.pi / 3, 10, 20]
t = EuclideanTransform(paramv)
assert np.all(paramv == t.paramv)
mat = parameters_to_projective_matrix('euclidean', paramv)
assert np.all(mat == t.matrix)
assert not np.all(mat == EuclideanTransform().matrix)
def test_projective():
paramv = np.arange(8)
mat = parameters_to_projective_matrix('projective', paramv)
assert np.all(paramv == projective_matrix_to_parameters('projective', mat))
def test_similarity():
paramv = [2, np.pi / 3, 10, 20]
mat = parameters_to_projective_matrix('similarity', paramv)
assert np.all(paramv == projective_matrix_to_parameters('similarity', mat))
def test_translation():
paramv = [10, 20]
mat = parameters_to_projective_matrix('translate', paramv)
assert np.all(paramv == projective_matrix_to_parameters('translate', mat))
def test_projective():
paramv = np.arange(8)
mat = parameters_to_projective_matrix('projective', paramv)
assert np.all(paramv == projective_matrix_to_parameters('projective', mat))
def test_similarity():
paramv = [2, np.pi / 3, 10, 20]
mat = parameters_to_projective_matrix('similarity', paramv)
assert np.all(paramv == projective_matrix_to_parameters('similarity', mat))
def test_translation():
paramv = [10, 20]
mat = parameters_to_projective_matrix('translate', paramv)
assert np.all(paramv == projective_matrix_to_parameters('translate', mat))