transform_resized_crop: Crop an image and resize it to a desired size

In torchvision: Models, Datasets and Transformations for Images

Crop an image and resize it to a desired size

Description

Crop an image and resize it to a desired size

Usage

transform_resized_crop(img, top, left, height, width, size, interpolation = 2)

Arguments

img	A magick-image, array or torch_tensor.
top	(integer): Vertical component of the top left corner of the crop box.
left	(integer): Horizontal component of the top left corner of the crop box.
height	(integer): Height of the crop box.
width	(integer): Width of the crop box.
size	(integer vector or integer): Desired output size. If size is an integer vector of length 2 like c(h, w), output size will be matched to this. If size is a bare integer, 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)⁠.
interpolation	(integer, optional): Desired interpolation. An integer 0 = nearest, 2 = bilinear, and 3 = bicubic or a name from magick::filter_types().

See Also

Other combining_transforms: prepare_sahi_split(), transform_five_crop(), transform_random_apply(), transform_random_choice(), transform_random_order(), transform_ten_crop()

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