Note

You are reading the documentation for MMClassification 0.x, which will soon be deprecated at the end of 2022. We recommend you upgrade to MMClassification 1.0 to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check the installation tutorial, migration tutorial and changelog for more details.

Cutout¶

class mmcls.datasets.pipelines.Cutout(shape, pad_val=128, prob=0.5)[source]¶

Cutout images.

Parameters

shape (int | float | tuple(int | float)) – Expected cutout shape (h, w). If given as a single value, the value will be used for both h and w.
pad_val (int, Sequence[int]) – Pixel pad_val value for constant fill. If it is a sequence, it must have the same length with the image channels. Defaults to 128.
prob (float) – The probability for performing cutout therefore should be in range [0, 1]. Defaults to 0.5.