transform_random_resized_crop: Crop image to random size and aspect ratio

In torchvision: Models, Datasets and Transformations for Images

Crop image to random size and aspect ratio

Description

Crop the given image to a random size and aspect ratio. The image can be a Magick Image or a Tensor, in which case it is expected to have ⁠[..., H, W]⁠ shape, where ... means an arbitrary number of leading dimensions

Usage

transform_random_resized_crop(
  img,
  size,
  scale = c(0.08, 1),
  ratio = c(3/4, 4/3),
  interpolation = 2
)

Arguments

img	A magick-image, array or torch_tensor.
size	(sequence or int): Desired output size. If size is a sequence like c(h, w), output size will be matched to this. If size is an int, smaller edge of the image will be matched to this number. i.e, if height > width, then image will be rescaled to (size * height / width, size).
scale	(tuple of float): range of size of the origin size cropped
ratio	(tuple of float): range of aspect ratio of the origin aspect ratio cropped.
interpolation	(int, optional) Desired interpolation. An integer 0 = nearest, 2 = bilinear, and 3 = bicubic or a name from magick::filter_types().

Details

A crop of random size (default: of 0.08 to 1.0) of the original size and a random aspect ratio (default: of 3/4 to 4/3) of the original aspect ratio is made. This crop is finally resized to given size. This is popularly used to train the Inception networks.

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_perspective(), transform_random_rotation(), transform_random_vertical_flip()

torchvision documentation built on Nov. 6, 2025, 9:07 a.m.