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