code stringlengths 3 6.57k |
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ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
py_vision.Decode() |
py_vision.RandomResizedCrop((256, 512) |
py_vision.ToTensor() |
mindspore.dataset.transforms.py_transforms.Compose(transforms) |
data2.map(input_columns=["image"], operations=transform) |
save_and_check_md5(data1, filename1, generate_golden=GENERATE_GOLDEN) |
save_and_check_md5(data2, filename2, generate_golden=GENERATE_GOLDEN) |
ds.config.set_seed(original_seed) |
ds.config.set_num_parallel_workers(original_num_parallel_workers) |
test_random_crop_and_resize_04_c() |
scale (max<min) |
logger.info("test_random_crop_and_resize_04_c") |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
c_vision.Decode() |
of (min, max) |
c_vision.RandomResizedCrop((256, 512) |
data.map(input_columns=["image"], operations=decode_op) |
data.map(input_columns=["image"], operations=random_crop_and_resize_op) |
logger.info("Got an exception in DE: {}".format(str(e) |
of (0 to 16777216) |
str(e) |
test_random_crop_and_resize_04_py() |
scale (max<min) |
logger.info("test_random_crop_and_resize_04_py") |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
py_vision.Decode() |
of (min, max) |
py_vision.RandomResizedCrop((256, 512) |
py_vision.ToTensor() |
mindspore.dataset.transforms.py_transforms.Compose(transforms) |
data.map(input_columns=["image"], operations=transform) |
logger.info("Got an exception in DE: {}".format(str(e) |
of (0 to 16777216) |
str(e) |
test_random_crop_and_resize_05_c() |
ratio (max<min) |
logger.info("test_random_crop_and_resize_05_c") |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
c_vision.Decode() |
c_vision.RandomResizedCrop((256, 512) |
of (min, max) |
data.map(input_columns=["image"], operations=decode_op) |
data.map(input_columns=["image"], operations=random_crop_and_resize_op) |
logger.info("Got an exception in DE: {}".format(str(e) |
of (0 to 16777216) |
str(e) |
test_random_crop_and_resize_05_py() |
ratio (max<min) |
logger.info("test_random_crop_and_resize_05_py") |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
py_vision.Decode() |
of (min, max) |
py_vision.RandomResizedCrop((256, 512) |
py_vision.ToTensor() |
mindspore.dataset.transforms.py_transforms.Compose(transforms) |
data.map(input_columns=["image"], operations=transform) |
logger.info("Got an exception in DE: {}".format(str(e) |
of (0 to 16777216) |
str(e) |
test_random_crop_and_resize_comp(plot=False) |
logger.info("test_random_crop_and_resize_comp") |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
c_vision.Decode() |
c_vision.RandomResizedCrop(512, (1, 1) |
data1.map(input_columns=["image"], operations=decode_op) |
data1.map(input_columns=["image"], operations=random_crop_and_resize_op) |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
py_vision.Decode() |
py_vision.RandomResizedCrop(512, (1, 1) |
py_vision.ToTensor() |
mindspore.dataset.transforms.py_transforms.Compose(transforms) |
data2.map(input_columns=["image"], operations=transform) |
zip(data1.create_dict_iterator(num_epochs=1) |
data2.create_dict_iterator(num_epochs=1) |
transpose(1, 2, 0) |
astype(np.uint8) |
image_c_cropped.append(c_image) |
image_py_cropped.append(py_image) |
diff_mse(c_image, py_image) |
visualize_list(image_c_cropped, image_py_cropped, visualize_mode=2) |
test_random_crop_and_resize_06() |
logger.info("test_random_crop_and_resize_05_c") |
ds.TFRecordDataset(DATA_DIR, SCHEMA_DIR, columns_list=["image"], shuffle=False) |
c_vision.Decode() |
c_vision.RandomResizedCrop((256, 512) |
data.map(input_columns=["image"], operations=decode_op) |
data.map(input_columns=["image"], operations=random_crop_and_resize_op) |
logger.info("Got an exception in DE: {}".format(str(e) |
type (<class 'tuple'>,) |
str(e) |
c_vision.RandomResizedCrop((256, 512) |
data.map(input_columns=["image"], operations=decode_op) |
data.map(input_columns=["image"], operations=random_crop_and_resize_op) |
logger.info("Got an exception in DE: {}".format(str(e) |
type (<class 'float'>, <class 'int'>) |
str(e) |
test_random_crop_and_resize_op_c(True) |
test_random_crop_and_resize_op_py(True) |
test_random_crop_and_resize_01() |
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