def test_moving_least_squares_no_normals():
pc = pclpy.read(test_data("street_thinned.las"), "PointXYZ")
output = pclpy.moving_least_squares(pc,
search_radius=0.5,
compute_normals=False)
assert output.size() == 4942
assert not hasattr(output, "normals")
def test_moving_least_squares_alias():
pc = pclpy.read(test_data("street_thinned.las"), "PointXYZ")
output1 = pclpy.moving_least_squares(pc,
search_radius=0.5,
compute_normals=False)
output2 = pclpy.mls(pc, search_radius=0.5, compute_normals=False)
assert np.allclose(output1.xyz, output2.xyz)
def test_moving_least_squares_with_output():
pc = pclpy.read(test_data("street_thinned.las"), "PointXYZ")
output = pcl.PointCloud.PointNormal()
pclpy.moving_least_squares(pc, search_radius=0.5, output_cloud=output)
assert output.size() == 4942