five_crop

torchvision.transforms.functional.five_crop(img: Tensor, size: List[int]) → Tuple[Tensor, Tensor, Tensor, Tensor, Tensor]

Crop the given image into four corners and the central crop. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions

Note

This transform returns a tuple of images and there may be a mismatch in the number of inputs and targets your Dataset returns.

Parameters:

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

• 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]).

Returns:

tuple (tl, tr, bl, br, center) Corresponding top left, top right, bottom left, bottom right and center crop.

Return type:

tuple

Examples using five_crop:

Illustration of transforms

Illustration of transforms