dgs.models.dataset.dataset.ImageHistoryDataset.transform_resize_image

static ImageHistoryDataset.transform_resize_image() → torchvision.transforms.v2.Compose

Given an image, bboxes, and key-points, resize them with custom modes.

This transform expects a custom structured input as a dict.

>>> structured_input: dict[str, any] = {
    "image": tv_tensors.Image,
    "box": tv_tensors.BoundingBoxes,
    "keypoints": torch.Tensor,
    "output_size": ImgShape,
    "mode": str,
}

Returns:

A composed torchvision function that accepts a dict as input.