transform_random_affine: Random affine transformation of the image keeping center...
In torchvision: Models, Datasets and Transformations for Images

transform_random_affine

R Documentation

Random affine transformation of the image keeping center invariant

Description

Random affine transformation of the image keeping center invariant

Usage

transform_random_affine(
  img,
  degrees,
  translate = NULL,
  scale = NULL,
  shear = NULL,
  interpolation = 0,
  fill = 0,
  resample,
  fillcolor
)

Arguments

`img`	A `magick-image`, `array` or `torch_tensor`.
`degrees`	(numeric vector of length 2 or numeric): Range of degrees to select from. If `degrees` is a bare number instead of a numeric vector of length 2 like `c(min, max)`, the range of degrees will be `⁠(-degrees, +degrees)⁠`.
`translate`	(numeric vector of length 2, optional): Numeric vector of maximum absolute fraction for horizontal and vertical translations. For example `translate = c(a, b)`, then horizontal shift is randomly sampled in the range `⁠-img_width * a < dx < img_width * a⁠` and vertical shift is randomly sampled in the range `⁠-img_height * b < dy < img_height * b⁠`. Will not translate by default.
`scale`	(numeric vector of length 2, optional): Scaling factor interval, e.g. `c(a, b)`, then scale is randomly sampled from the range `⁠a <= scale <= b⁠`. Will keep original scale by default.
`shear`	(numeric vector or numeric, optional): Range of degrees to select from. If `shear` is a bare number, a shear parallel to the x axis in the range `⁠(-shear, +shear)⁠` will be applied. Else if `shear` is a numeric vector of length 2, a shear parallel to the x axis in the range `⁠(shear[1], shear[2])⁠` will be applied. Else if `shear` is a numeric vector of length 4, a x-axis shear in `⁠(shear[1], shear[2])⁠` and y-axis shear in `⁠(shear[3], shear[4])⁠` will be applied. Will not apply shear by default.
`interpolation`	(integer or character, optional): Interpolation mode. Supported values are `0` / `"nearest"` and `2` / `"bilinear"`. Default is `0`.
`fill`	(numeric vector or numeric): Fill color for the area outside the transform. Default is `0`. This option is not supported for Tensor input.
`resample`	Deprecated. Use interpolation instead.
`fillcolor`	Deprecated. Use fill instead.

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