mindspore.dataset.vision.c_transforms.UniformAugment
- class mindspore.dataset.vision.c_transforms.UniformAugment(transforms, num_ops=2)[source]
Perform randomly selected augmentation on input image.
- Parameters
transforms – List of C++ operations (Python operations are not accepted).
num_ops (int, optional) – Number of operations to be selected and applied, which must be positive (default=2).
- Raises
TypeError – If transforms contains uncallable Python object.
TypeError – If num_ops is not of type integer.
ValueError – If num_ops is not positive.
- Supported Platforms:
CPU
Examples
>>> import mindspore.dataset.vision.py_transforms as py_vision >>> transforms_list = [c_vision.RandomHorizontalFlip(), ... c_vision.RandomVerticalFlip(), ... c_vision.RandomColorAdjust(), ... c_vision.RandomRotation(degrees=45)] >>> uni_aug_op = c_vision.UniformAugment(transforms=transforms_list, num_ops=2) >>> transforms_all = [c_vision.Decode(), c_vision.Resize(size=[224, 224]), ... uni_aug_op] >>> image_folder_dataset_1 = image_folder_dataset.map(operations=transforms_all, ... input_columns="image", ... num_parallel_workers=1)