transform_perspective: Perspective transformation of an image

In torchvision: Models, Datasets and Transformations for Images

Perspective transformation of an image

Description

Perspective transformation of an image

Usage

transform_perspective(
  img,
  startpoints,
  endpoints,
  interpolation = 2,
  fill = NULL
)

Arguments

img	A magick-image, array or torch_tensor.
startpoints	(list of integer vectors of length 2): List containing four integer vectors of length 2 corresponding to four corners ⁠[top-left, top-right, bottom-right, bottom-left]⁠ of the original image.
endpoints	(list of integer vectors of length 2): List containing four integer vectors of length 2 corresponding to four corners ⁠[top-left, top-right, bottom-right, bottom-left]⁠ of the transformed image.
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 unitary_transforms: transform_adjust_brightness(), transform_adjust_contrast(), transform_adjust_gamma(), transform_adjust_hue(), transform_adjust_saturation(), transform_affine(), transform_center_crop(), transform_convert_image_dtype(), transform_crop(), transform_grayscale(), transform_hflip(), transform_linear_transformation(), transform_normalize(), transform_pad(), transform_resize(), transform_rgb_to_grayscale(), transform_rotate(), transform_to_tensor(), transform_vflip()

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