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# RandomAutocontrast

class torchvision.transforms.RandomAutocontrast(p=0.5)

  Autocontrast the pixels 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 “L” or “RGB”.

  Parameters:

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

  forward(img)
    Parameters:

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

    Returns:

      Randomly autocontrasted image.

    Return type:

      PIL Image or Tensor

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