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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.

Shear

class mmcls.datasets.pipelines.Shear(magnitude, pad_val=128, prob=0.5, direction='horizontal', random_negative_prob=0.5, interpolation='bicubic')[source]

Shear images.

Parameters
  • magnitude (int | float) – The magnitude used for shear.

  • pad_val (int, Sequence[int]) – Pixel pad_val value for constant fill. If a sequence of length 3, it is used to pad_val R, G, B channels respectively. Defaults to 128.

  • prob (float) – The probability for performing Shear therefore should be in range [0, 1]. Defaults to 0.5.

  • direction (str) – The shearing direction. Options are ‘horizontal’ and ‘vertical’. Defaults to ‘horizontal’.

  • random_negative_prob (float) – The probability that turns the magnitude negative, which should be in range [0,1]. Defaults to 0.5.

  • interpolation (str) – Interpolation method. Options are ‘nearest’, ‘bilinear’, ‘bicubic’, ‘area’, ‘lanczos’. Defaults to ‘bicubic’.

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