mindspore.dataset.vision.CutOut

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class mindspore.dataset.vision.CutOut(length, num_patches=1, is_hwc=True)[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.

  • is_hwc (bool, optional) – Whether the input image is in HWC format. True - HWC format, False - CHW format. Default: True.

Raises

  • TypeError – If length is not of type integer.

  • TypeError – If is_hwc is not of type bool.

  • 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

>>> import mindspore.dataset as ds
>>> import mindspore.dataset.vision as vision
>>>
>>> image_folder_dataset = ds.ImageFolderDataset("/path/to/image_folder_dataset_directory")
>>> transforms_list = [vision.Decode(), vision.CutOut(80, num_patches=10)]
>>> image_folder_dataset = image_folder_dataset.map(operations=transforms_list,
...                                                 input_columns=["image"])
Tutorial Examples: