ports PyTorch.

        Args:
            outputs ([`DeformableDetrObjectDetectionOutput`]):
                Raw outputs of the model.
            target_sizes (`torch.Tensor` of shape `(batch_size, 2)`):
                Tensor containing the size (height, width) of each image of the batch. For evaluation, this must be the
                original image size (before any data augmentation). For visualization, this should be the image size
                after data augment, but before padding.
        Returns:
            `List[Dict]`: A list of dictionaries, each dictionary containing the scores, labels and boxes for an image
            in the batch as predicted by the model.
        zs`post_process` is deprecated and will be removed in v5 of Transformers, please use `post_process_object_detection`.úTMake sure that you pass in as many target sizes as the batch dimension of the logitsr{