Table of Contents
Shortcuts

# RandomErasing

class torchvision.transforms.RandomErasing(p=0.5, scale=(0.02, 0.33), ratio=(0.3, 3.3), value=0, inplace=False)

  Randomly selects a rectangle region in a torch.Tensor image and erases its pixels. This transform does not support PIL Image. ‘Random Erasing Data Augmentation’ by Zhong et al. See https://arxiv.org/abs/1708.04896

  Parameters:

    - p – probability that the random erasing operation will be performed.

    - scale – range of proportion of erased area against input image.

    - ratio – range of aspect ratio of erased area.

    - value – erasing value. Default is 0. If a single int, it is used to erase all pixels. If a tuple of length 3, it is used to erase R, G, B channels respectively. If a str of ‘random’, erasing each pixel with random values.

    - inplace – boolean to make this transform inplace. Default set to False.

  Returns:

    Erased Image.

  Example

      >>> transform = transforms.Compose([
      >>>   transforms.RandomHorizontalFlip(),
      >>>   transforms.PILToTensor(),
      >>>   transforms.ConvertImageDtype(torch.float),
      >>>   transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),
      >>>   transforms.RandomErasing(),
      >>> ])

  forward(img)
    Parameters:

      img (Tensor) – Tensor image to be erased.

    Returns:

      Erased Tensor image.

    Return type:

      img (Tensor)

  static get_params(img: Tensor, scale: Tuple[float, float], ratio: Tuple[float, float], value: Optional[List[float]] = None) → Tuple[int, int, int, int, Tensor]

    Get parameters for `erase` for a random erasing.

    Parameters:

      - img (Tensor) – Tensor image to be erased.

      - scale (sequence) – range of proportion of erased area against input image.

      - ratio (sequence) – range of aspect ratio of erased area.

      - value (list, optional) – erasing value. If None, it is interpreted as “random” (erasing each pixel with random values). If `len(value)` is 1, it is interpreted as a number, i.e. `value[0]`.

    Returns:

      params (i, j, h, w, v) to be passed to `erase` for random erasing.

    Return type:

      tuple

## 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.