def test_align_2d_affine_as_non_alignment():
linear_component = np.array([[1, -6], [-3, 2]])
translation_component = np.array([7, -8])
h_matrix = np.eye(3, 3)
h_matrix[:-1, :-1] = linear_component
h_matrix[:-1, -1] = translation_component
affine = Affine(h_matrix)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = affine.apply(source)
# estimate the transform from source and source
estimate = AlignmentAffine(source, source)
# and set the h_matrix
non_align = estimate.as_non_alignment()
# check the estimates is correct
assert_allclose(non_align.h_matrix, estimate.h_matrix)
assert (type(non_align) == Affine)
def test_align_2d_affine_as_non_alignment():
linear_component = np.array([[1, -6], [-3, 2]])
translation_component = np.array([7, -8])
h_matrix = np.eye(3, 3)
h_matrix[:-1, :-1] = linear_component
h_matrix[:-1, -1] = translation_component
affine = Affine(h_matrix)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = affine.apply(source)
# estimate the transform from source and source
estimate = AlignmentAffine(source, source)
# and set the h_matrix
non_align = estimate.as_non_alignment()
# check the estimates is correct
assert_allclose(non_align.h_matrix, estimate.h_matrix)
assert type(non_align) == Affine
