- class torchvision.transforms.Resize(size, interpolation=InterpolationMode.BILINEAR, max_size=None, antialias=None)¶
Resize the input image to the given size. If the image is torch Tensor, it is expected to have […, H, W] shape, where … means an arbitrary number of leading dimensions
The output image might be different depending on its type: when downsampling, the interpolation of PIL images and tensors is slightly different, because PIL applies antialiasing. This may lead to significant differences in the performance of a network. Therefore, it is preferable to train and serve a model with the same input types. See also below the
antialiasparameter, which can help making the output of PIL images and tensors closer.
size (sequence or int) –
Desired output size. If size is a sequence like (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).
In torchscript mode size as single int is not supported, use a sequence of length 1:
interpolation (InterpolationMode) – Desired interpolation enum defined by
torchvision.transforms.InterpolationMode. Default is
InterpolationMode.BILINEAR. If input is Tensor, only
InterpolationMode.BICUBICare supported. For backward compatibility integer values (e.g.
PIL.Image[.Resampling].NEAREST) are still accepted, but deprecated since 0.13 and will be removed in 0.15. Please use InterpolationMode enum.
max_size (int, optional) – The maximum allowed for the longer edge of the resized image: if the longer edge of the image is greater than
max_sizeafter being resized according to
size, then the image is resized again so that the longer edge is equal to
max_size. As a result,
sizemight be overruled, i.e the smaller edge may be shorter than
size. This is only supported if
sizeis an int (or a sequence of length 1 in torchscript mode).
antialias (bool, optional) – antialias flag. If
imgis PIL Image, the flag is ignored and anti-alias is always used. If
imgis Tensor, the flag is False by default and can be set to True for
InterpolationMode.BICUBICmodes. This can help making the output for PIL images and tensors closer.
img (PIL Image or Tensor) – Image to be scaled.
- Return type:
PIL Image or Tensor