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.

Rotate¶

class mmcls.datasets.pipelines.Rotate(angle, center=None, scale=1.0, pad_val=128, prob=0.5, random_negative_prob=0.5, interpolation='nearest')[source]¶

Rotate images.

Parameters

angle (float) – The angle used for rotate. Positive values stand for clockwise rotation.
center (tuple[float], optional) – Center point (w, h) of the rotation in the source image. If None, the center of the image will be used. Defaults to None.
scale (float) – Isotropic scale factor. Defaults to 1.0.
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 Rotate therefore should be in range [0, 1]. Defaults to 0.5.
random_negative_prob (float) – The probability that turns the angle 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 ‘nearest’.