transform_resize: Resize the input image to the given size

In torchvision: Models, Datasets and Transformations for Images

Resize the input image to the given size

Description

The image can be a Magic Image or a torch Tensor, in which case it is expected to have ⁠[..., H, W]⁠ shape, where ... means an arbitrary number of leading dimensions

Usage

transform_resize(img, size, interpolation = 2)

Arguments

img	A magick-image, array or torch_tensor.
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 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_perspective(), transform_rgb_to_grayscale(), transform_rotate(), transform_to_tensor(), transform_vflip()

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