def test_align_2d_translation_set_h_matrix_raises_notimplemented_error():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and change the target.
estimate.set_h_matrix(translation.h_matrix)
def test_align_2d_translation_set_h_matrix_raises_notimplemented_error():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and change the target.
estimate.set_h_matrix(translation.h_matrix)
def test_align_2d_translation_from_vector_inplace():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and update from_vector
estimate._from_vector_inplace(t_vec)
# check the estimates is correct
assert_allclose(target.points, estimate.target.points)
def test_align_2d_translation_set_target():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and change the target.
estimate.set_target(target)
# check the estimates is correct
assert_allclose(translation.h_matrix, estimate.h_matrix)
def test_align_2d_translation_from_vector_inplace():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and update from_vector
estimate.from_vector_inplace(t_vec)
# check the estimates is correct
assert_allclose(target.points, estimate.target.points)
def test_align_2d_translation_set_target():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and change the target.
estimate.set_target(target)
# check the estimates is correct
assert_allclose(translation.h_matrix, estimate.h_matrix)
def test_align_2d_translation_from_vector():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and update from_vector
new_est = estimate.from_vector(t_vec)
# check the original is unchanged
assert_allclose(estimate.source.points, source.points)
assert_allclose(estimate.target.points, source.points)
# check the new estimate has the source and target correct
assert_allclose(new_est.source.points, source.points)
assert_allclose(new_est.target.points, target.points)
def test_align_2d_translation_from_vector():
t_vec = np.array([1, 2])
translation = Translation(t_vec)
source = PointCloud(np.array([[0, 1], [1, 1], [-1, -5], [3, -5]]))
target = translation.apply(source)
# estimate the transform from source to source..
estimate = AlignmentTranslation(source, source)
# and update from_vector
new_est = estimate.from_vector(t_vec)
# check the original is unchanged
assert_allclose(estimate.source.points, source.points)
assert_allclose(estimate.target.points, source.points)
# check the new estimate has the source and target correct
assert_allclose(new_est.source.points, source.points)
assert_allclose(new_est.target.points, target.points)
