RandomSolarize¶

class torchaug.transforms.RandomSolarize(threshold, p=0.5, batch_inplace=False, batch_transform=False)[source]¶

Solarize the image or video with a given probability by inverting all pixel values above a threshold.

The input is expected to be in […, 1 or 3, H, W] format, where … means it can have an arbitrary number of leading dimensions.

Parameters:

threshold (float) – all pixels equal or above this value are inverted.
p (float, optional) – probability of the image being solarized. Default: 0.5
batch_inplace (bool, optional) – whether to apply the batch transform in-place. Does not prevent functionals to make copy but can reduce time and memory consumption. Default: False
batch_transform (bool, optional) – whether to apply the transform in batch mode. Default: False

extra_repr()[source]¶

Set the extra representation of the transform.