def test_random_perspective_op(plot=False): """ Test RandomPerspective in python transformations """ logger.info("test_random_perspective_op") # define map operations transforms1 = [ py_vision.Decode(), py_vision.RandomPerspective(), py_vision.ToTensor() ] transform1 = py_vision.ComposeOp(transforms1) transforms2 = [ py_vision.Decode(), py_vision.ToTensor() ] transform2 = py_vision.ComposeOp(transforms2) # First dataset data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) data1 = data1.map(input_columns=["image"], operations=transform1()) # Second dataset data2 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) data2 = data2.map(input_columns=["image"], operations=transform2()) image_perspective = [] image_original = [] for item1, item2 in zip(data1.create_dict_iterator(), data2.create_dict_iterator()): image1 = (item1["image"].transpose(1, 2, 0) * 255).astype(np.uint8) image2 = (item2["image"].transpose(1, 2, 0) * 255).astype(np.uint8) image_perspective.append(image1) image_original.append(image2) if plot: visualize(image_original, image_perspective)
def skip_test_random_perspective_md5(): """ Test RandomPerspective with md5 comparison """ logger.info("test_random_perspective_md5") original_seed = config_get_set_seed(5) original_num_parallel_workers = config_get_set_num_parallel_workers(1) # define map operations transforms = [ py_vision.Decode(), py_vision.RandomPerspective(distortion_scale=0.3, prob=0.7, interpolation=Inter.BILINEAR), py_vision.ToTensor() ] transform = py_vision.ComposeOp(transforms) # Generate dataset data = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) data = data.map(input_columns=["image"], operations=transform()) # check results with md5 comparison filename = "random_perspective_01_result.npz" save_and_check_md5(data, filename, generate_golden=GENERATE_GOLDEN) # Restore configuration ds.config.set_seed(original_seed) ds.config.set_num_parallel_workers((original_num_parallel_workers))
def test_random_perspective_exception_distortion_scale_range(): """ Test RandomPerspective: distortion_scale is not in [0, 1], expected to raise ValueError """ logger.info("test_random_perspective_exception_distortion_scale_range") try: _ = py_vision.RandomPerspective(distortion_scale=1.5) except ValueError as e: logger.info("Got an exception in DE: {}".format(str(e))) assert str(e) == "Input is not within the required range"
def test_random_perspective_exception_prob_range(): """ Test RandomPerspective: prob is not in [0, 1], expected to raise ValueError """ logger.info("test_random_perspective_exception_prob_range") try: _ = py_vision.RandomPerspective(prob=1.2) except ValueError as e: logger.info("Got an exception in DE: {}".format(str(e))) assert str( e ) == "Input prob is not within the required interval of (0.0 to 1.0)."