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# rgb_to_grayscale

torchvision.transforms.functional.rgb_to_grayscale(img: Tensor, num_output_channels: int = 1) → Tensor

  Convert RGB image to grayscale version of image. If the image is torch Tensor, it is expected to have […, 3, H, W] shape, where … means an arbitrary number of leading dimensions

  Note

  Please, note that this method supports only RGB images as input. For inputs in other color spaces, please, consider using meth:~torchvision.transforms.functional.to_grayscale with PIL Image.

  Parameters:

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

    - num_output_channels (int) – number of channels of the output image. Value can be 1 or 3. Default, 1.

  Returns:

    Grayscale version of the image.

    - if num_output_channels = 1 : returned image is single channel

    - if num_output_channels = 3 : returned image is 3 channel with r = g = b

  Return type:

    PIL Image or Tensor

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