transform_random_perspective: Random perspective transformation of an image with a given...

In torchvision: Models, Datasets and Transformations for Images

Random perspective transformation of an image with a given probability

Description

Performs a random perspective transformation of the given image with a given probability

Usage

transform_random_perspective(
  img,
  distortion_scale = 0.5,
  p = 0.5,
  interpolation = 2,
  fill = 0
)

Arguments

img	A magick-image, array or torch_tensor.
distortion_scale	(numeric): Argument to control the degree of distortion and ranges from 0 to 1. Default is 0.5.
p	(numeric): Probability of the image being transformed. Default is 0.5.
interpolation	(integer, optional): Desired interpolation. An integer 0 = nearest, 2 = bilinear, and 3 = bicubic or a name from magick::filter_types().
fill	(numeric vector or numeric): Pixel fill value for constant fill. Default is 0. If a numeric vector of length 3, it is used to fill R, G, B channels respectively. This value is only used when the padding_mode is constant. Only integer values are supported for Tensors.

See Also

Other random_transforms: transform_color_jitter(), transform_random_affine(), transform_random_crop(), transform_random_erasing(), transform_random_grayscale(), transform_random_horizontal_flip(), transform_random_resized_crop(), transform_random_rotation(), transform_random_vertical_flip()

torchvision documentation built on Oct. 14, 2026, 1:09 a.m.