def test_random_affine_op_c(plot=False):
"""
Test RandomAffine in C transformations
"""
logger.info("test_random_affine_op_c")
# define map operations
transforms1 = [
c_vision.Decode(),
c_vision.RandomAffine(degrees=0, translate=(0.5, 0.5, 0, 0))
]
transforms2 = [
c_vision.Decode()
]
# First dataset
data1 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False)
data1 = data1.map(input_columns=["image"], operations=transforms1)
# Second dataset
data2 = ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False)
data2 = data2.map(input_columns=["image"], operations=transforms2)
image_affine = []
image_original = []
for item1, item2 in zip(data1.create_dict_iterator(), data2.create_dict_iterator()):
image1 = item1["image"]
image2 = item2["image"]
image_affine.append(image1)
image_original.append(image2)
if plot:
visualize_list(image_original, image_affine)
def test_random_affine_c_md5():
"""
Test RandomAffine C Op with md5 comparison
"""
logger.info("test_random_affine_c_md5")
original_seed = config_get_set_seed(1)
original_num_parallel_workers = config_get_set_num_parallel_workers(1)
# define map operations
transforms = [
c_vision.Decode(),
c_vision.RandomAffine(degrees=(-5, 15),
translate=(0.1, 0.3),
scale=(0.9, 1.1),
shear=(-10, 10, -5, 5))
]
# Generate dataset
data = ds.TFRecordDataset(DATA_DIR,
SCHEMA_DIR,
columns_list=["image"],
shuffle=False)
data = data.map(input_columns=["image"], operations=transforms)
# check results with md5 comparison
filename = "random_affine_01_c_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_affine_exception_translation_range():
"""
Test RandomAffine: translation value is not in [-1, 1], expected to raise ValueError
"""
logger.info("test_random_affine_exception_translation_range")
try:
_ = c_vision.RandomAffine(degrees=15, translate=(0.1, 1.5))
except ValueError as e:
logger.info("Got an exception in DE: {}".format(str(e)))
assert str(e) == "Input translate at 1 is not within the required interval of (-1.0 to 1.0)."
logger.info("test_random_affine_exception_translation_range")
try:
_ = c_vision.RandomAffine(degrees=15, translate=(-2, 1.5))
except ValueError as e:
logger.info("Got an exception in DE: {}".format(str(e)))
assert str(e) == "Input translate at 0 is not within the required interval of (-1.0 to 1.0)."