RandomAutocontrast

class torchvision.transforms.v2.RandomAutocontrast(p: float = 0.5)

Autocontrast the pixels of the given image or video with a given probability.

If the input is a torch.Tensor, it is expected to have […, 1 or 3, H, W] shape, where … means an arbitrary number of leading dimensions. If img is PIL Image, it is expected to be in mode “L” or “RGB”.

Parameters:

p (float) – probability of the image being autocontrasted. Default value is 0.5

Examples using RandomAutocontrast:

Illustration of transforms

Illustration of transforms