RandomErasing¶
- class torchvision.transforms.v2.RandomErasing(p: float = 0.5, scale: Sequence[float] = (0.02, 0.33), ratio: Sequence[float] = (0.3, 3.3), value: float = 0.0, inplace: bool = False)[source]¶
Randomly select a rectangle region in the input image or video and erase 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 (float, optional) – probability that the random erasing operation will be performed.
scale (tuple of python:float, optional) – range of proportion of erased area against input image.
ratio (tuple of python:float, optional) – range of aspect ratio of erased area.
value (number or tuple of numbers) – 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 (bool, optional) – boolean to make this transform inplace. Default set to False.
- Returns:
Erased input.
Example
>>> from torchvision.transforms import v2 as transforms >>> >>> 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(), >>> ])
- static get_params(img: Tensor, scale: Tuple[float, float], ratio: Tuple[float, float], value: Optional[List[float]] = None) Tuple[int, int, int, int, Tensor] [source]¶
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: