pipert.utils.structures.image_list¶
Module Contents¶
Classes¶
Structure that holds a list of images (of possibly |
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class
pipert.utils.structures.image_list.ImageList(tensor: torch.Tensor, image_sizes: List[Tuple[int, int]])[source]¶ Bases:
objectStructure 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
- Attributes:
image_sizes (list[tuple[int, int]]): each tuple is (h, w)
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__getitem__(self, idx: Union[int, slice]) → torch.Tensor[source]¶ Access the individual image in its original size.
- Returns:
Tensor: an image of shape (H, W) or (C_1, …, C_K, H, W) where K >= 1
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to(self, *args: Any, **kwargs: Any) → pipert.utils.structures.image_list.ImageList[source]¶
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static
from_tensors(tensors: Sequence[torch.Tensor], size_divisibility: int = 0, pad_value: float = 0.0) → pipert.utils.structures.image_list.ImageList[source]¶ - Args:
- tensors: a tuple or list of torch.Tensors, each of shape (Hi, Wi) or
(C_1, …, C_K, Hi, Wi) where K >= 1. The Tensors will be padded with pad_value so that they will have the same shape.
- size_divisibility (int): If size_divisibility > 0, also adds padding to ensure
the common height and width is divisible by size_divisibility
pad_value (float): value to pad
- Returns:
an ImageList.