mindspore.dataset.transforms.py_transforms.RandomChoice

class mindspore.dataset.transforms.py_transforms.RandomChoice(transforms)

Randomly select one transform from a series of transforms and applies that on the image.

Parameters

transforms (list) – List of transformations to be chosen from to apply.

Raises

• TypeError – If transforms is not of type list.

• TypeError – If elements of transforms are neither Python callable objects nor data processing operations in py_transforms.

• ValueError – If transforms is empty.

Supported Platforms:

CPU

Examples

>>> from mindspore.dataset.transforms.py_transforms import Compose
>>> transforms_list = [py_vision.RandomHorizontalFlip(0.5),
...                    py_vision.Normalize((0.491, 0.482, 0.447), (0.247, 0.243, 0.262)),
...                    py_vision.RandomErasing()]
>>> transforms = Compose([py_vision.Decode(),
...                       py_transforms.RandomChoice(transforms_list),
...                       py_vision.ToTensor()])
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms, input_columns=["image"])