# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from torch.jit.annotations import List, Tuple
from torch import Tensor
class ImageList(object):
"""
Structure that holds a list of images (of possibly
varying sizes) as a single tensor.
This works by padding the images to the same size,
and storing in a field the original sizes of each image
"""
def __init__(self, tensors, image_sizes):
# type: (Tensor, List[Tuple[int, int]]) -> None
"""
Arguments:
tensors (tensor)
image_sizes (list[tuple[int, int]])
"""
self.tensors = tensors
self.image_sizes = image_sizes
def to(self, device):
# type: (Device) -> ImageList # noqa
cast_tensor = self.tensors.to(device)
return ImageList(cast_tensor, self.image_sizes)