mindspore.dataset.transforms.RandomChoice
- class mindspore.dataset.transforms.RandomChoice(transforms)[source]
Randomly select one transform from a list of transforms to perform operation.
- Parameters
transforms (list) – List of transformations to be chosen from to apply.
- Raises
TypeError – If transforms is not of type list.
ValueError – If transforms is empty.
TypeError – If elements of transforms are neither Python callable objects nor data processing operations in transforms.py.
- Supported Platforms:
CPU
Examples
>>> import mindspore.dataset as ds >>> import mindspore.dataset.transforms as transforms >>> import mindspore.dataset.vision as vision >>> from mindspore.dataset.transforms import Compose >>> >>> transforms_list = [vision.RandomHorizontalFlip(0.5), ... vision.Normalize((0.491, 0.482, 0.447), (0.247, 0.243, 0.262)), ... vision.RandomErasing()] >>> composed_transform = Compose([vision.Decode(), ... transforms.RandomChoice(transforms_list), ... vision.ToTensor()]) >>> >>> image_folder_dataset = ds.ImageFolderDataset("/path/to/image_folder_dataset_directory") >>> image_folder_dataset = image_folder_dataset.map(operations=composed_transform, input_columns=["image"])