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# CenterCrop

class torchvision.transforms.CenterCrop(size)

  Crops the given image at the center. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions. If image size is smaller than output size along any edge, image is padded with 0 and then center cropped.

  Parameters:

    size (sequence or int) – Desired output size of the crop. If size is an int instead of sequence like (h, w), a square crop (size, size) is made. If provided a sequence of length 1, it will be interpreted as (size[0], size[0]).

  forward(img)
    Parameters:

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

    Returns:

      Cropped image.

    Return type:

      PIL Image or Tensor

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