Table of Contents
Shortcuts

# center_crop

torchvision.transforms.functional.center_crop(img: Tensor, output_size: List[int]) → Tensor

  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:

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

    - output_size (sequence or int) – (height, width) of the crop box. If int or sequence with single int, it is used for both directions.

  Returns:

    Cropped image.

  Return type:

    PIL Image or Tensor

## Docs

Access comprehensive developer documentation for PyTorch

View Docs

## Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

## Resources

Find development resources and get your questions answered

View Resources

To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the current maintainers of this site, Facebook’s Cookies Policy applies. Learn more, including about available controls: Cookies Policy.