RandomPerspective¶
-
class
torchvision.transforms.
RandomPerspective
(distortion_scale=0.5, p=0.5, interpolation=<InterpolationMode.BILINEAR: 'bilinear'>, fill=0)[source]¶ Performs a random perspective transformation of the given image with a given probability. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions.
- Parameters
distortion_scale (float) – argument to control the degree of distortion and ranges from 0 to 1. Default is 0.5.
p (float) – probability of the image being transformed. Default is 0.5.
interpolation (InterpolationMode) – Desired interpolation enum defined by
torchvision.transforms.InterpolationMode
. Default isInterpolationMode.BILINEAR
. If input is Tensor, onlyInterpolationMode.NEAREST
,InterpolationMode.BILINEAR
are supported. For backward compatibility integer values (e.g.PIL.Image.NEAREST
) are still acceptable.fill (sequence or number) – Pixel fill value for the area outside the transformed image. Default is
0
. If given a number, the value is used for all bands respectively.
Examples using
RandomPerspective
:-
forward
(img)[source]¶ - Parameters
img (PIL Image or Tensor) – Image to be Perspectively transformed.
- Returns
Randomly transformed image.
- Return type
PIL Image or Tensor
-
static
get_params
(width: int, height: int, distortion_scale: float) → Tuple[List[List[int]], List[List[int]]][source]¶ Get parameters for
perspective
for a random perspective transform.- Parameters
- Returns
List containing [top-left, top-right, bottom-right, bottom-left] of the original image, List containing [top-left, top-right, bottom-right, bottom-left] of the transformed image.