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# RandomGrayscale

class torchvision.transforms.RandomGrayscale(p=0.1)

  Randomly convert image to grayscale with a probability of p (default 0.1). If the image is torch Tensor, it is expected to have […, 3, H, W] shape, where … means an arbitrary number of leading dimensions

  Parameters:

    p (float) – probability that image should be converted to grayscale.

  Returns:

    Grayscale version of the input image with probability p and unchanged with probability (1-p). - If input image is 1 channel: grayscale version is 1 channel - If input image is 3 channel: grayscale version is 3 channel with r == g == b

  Return type:

    PIL Image or Tensor

  forward(img)
    Parameters:

      img (PIL Image or Tensor) – Image to be converted to grayscale.

    Returns:

      Randomly grayscaled image.

    Return type:

      PIL Image or Tensor

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