mindspore.dataset.transforms.RandomOrder

class mindspore.dataset.transforms.RandomOrder(transforms)

Perform a series of transforms to the input image in a random order.

Parameters

transforms (list) – List of the transformations 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 mindspore.dataset.transforms.transforms.

• ValueError – If transforms is empty.

Supported Platforms:

CPU

Examples

>>> 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(to_pil=False),
...                               transforms.RandomOrder(transforms_list),
...                               vision.ToTensor()])
>>> image_folder_dataset = image_folder_dataset.map(operations=composed_transform, input_columns=["image"])

execute_py(img)

Execute method.

Parameters

img (PIL image) – Image to apply transformations in a random order.

Returns

img (PIL image), Transformed image.