mindspore.dataset.transforms.c_transforms.RandomApply

class mindspore.dataset.transforms.c_transforms.RandomApply(transforms, prob=0.5)[source]

Randomly perform a series of transforms with a given probability.

Parameters

  • transforms (list) – List of transformations to be applied.

  • prob (float, optional) – The probability to apply the transformation list (default=0.5).

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 c_transforms.

  • TypeError – If prob is not of type float.

  • ValueError – If prob is not in range [0.0, 1.0].

Supported Platforms:

CPU

Examples

>>> rand_apply = c_transforms.RandomApply([c_vision.RandomCrop(512)])
>>> image_folder_dataset = image_folder_dataset.map(operations=rand_apply)