Function resized_crop

torchvision/transforms/v2/functional/_geometry.py:2662–2697

See :class:`~torchvision.transforms.v2.RandomResizedCrop` for details.

(
    inpt: torch.Tensor,
    top: int,
    left: int,
    height: int,
    width: int,
    size: list[int],
    interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR,
    antialias: Optional[bool] = True,
)

def resized_crop(
    inpt: torch.Tensor,
    top: int,
    left: int,
    height: int,
    width: int,
    size: list[int],
    interpolation: Union[InterpolationMode, int] = InterpolationMode.BILINEAR,
    antialias: Optional[bool] = True,
) -> torch.Tensor:
    """See :class:`~torchvision.transforms.v2.RandomResizedCrop` for details."""
    if torch.jit.is_scripting():
        return resized_crop_image(
            inpt,
            top=top,
            left=left,
            height=height,
            width=width,
            size=size,
            interpolation=interpolation,
            antialias=antialias,
        )

    _log_api_usage_once(resized_crop)

    kernel = _get_kernel(resized_crop, type(inpt))
    return kernel(
        inpt,
        top=top,
        left=left,
        height=height,
        width=width,
        size=size,
        interpolation=interpolation,
        antialias=antialias,
    )


@_register_kernel_internal(resized_crop, torch.Tensor)