RandomEqualize

class torchvision.transforms.RandomEqualize(p=0.5)

Equalize the histogram of the given image randomly with a given probability. If the image is 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 “P”, “L” or “RGB”.

Parameters:

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

Examples using RandomEqualize:

Illustration of transforms

Illustration of transforms

forward(img)

Parameters:

img (PIL Image or Tensor) – Image to be equalized.

Returns:

Randomly equalized image.

Return type:

PIL Image or Tensor