def test_radius_outlier_removal_negative():
pc = pclpy.read(test_data("street_thinned.las"), "PointXYZ")
output = pclpy.radius_outlier_removal(pc,
search_radius=0.5,
min_neighbors=10,
negative=True)
assert output.size() == 721
def test_radius_outlier_removal_alias():
pc = pclpy.read(test_data("street_thinned.las"), "PointXYZ")
output1 = pclpy.radius_outlier_removal(pc,
search_radius=0.5,
min_neighbors=10)
output2 = pclpy.ror(pc, search_radius=0.5, min_neighbors=10)
assert np.allclose(output1.xyz, output2.xyz)
def test_radius_outlier_removal_indices():
pc = pclpy.read(test_data("street_thinned.las"), "PointXYZ")
indices = pcl.vectors.Int(np.arange(10, 1000, dtype="i"))
output = pclpy.radius_outlier_removal(pc,
search_radius=0.5,
min_neighbors=10,
indices=indices)
assert output.size() == 889