mindspore.dataset.vision.c_transforms.CutOut

class mindspore.dataset.vision.c_transforms.CutOut(length, num_patches=1)[source]

Randomly cut (mask) out a given number of square patches from the input image array.

Parameters

length (int) – The side length of each square patch, must be larger than 0.
num_patches (int, optional) – Number of patches to be cut out of an image, must be larger than 0. (default=1).

Raises

TypeError – If length is not of type integer.
TypeError – If num_patches is not of type integer.
ValueError – If length is less than or equal 0.
ValueError – If num_patches is less than or equal 0.
RuntimeError – If given tensor shape is not <H, W, C>.

Supported Platforms:: CPU

Examples

>>> transforms_list = [c_vision.Decode(), c_vision.CutOut(80, num_patches=10)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns=["image"])