RandomEqualize
- class torchvision.transforms.RandomEqualize(p=0.5)[source]
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
:- forward(img)[source]
- Parameters:
img (PIL Image or Tensor) – Image to be equalized.
- Returns:
Randomly equalized image.
- Return type:
PIL Image or Tensor