riginal
                image size (before any data augmentation).
            max_target_sizes (`torch.Tensor` of shape `(batch_size, 2)`):
                Tensor containing the maximum size (h, w) of each image of the batch. For evaluation, this must be the
                original image size (before any data augmentation).
            threshold (`float`, *optional*, defaults to 0.5):
                Threshold to use when turning the predicted masks into binary values.
        Returns:
            `List[Dict]`: A list of dictionaries, each dictionary containing the scores, labels, boxes and masks for an
            image in the batch as predicted by the model.
        z�`post_process_instance` is deprecated and will be removed in v5 of Transformers, please use `post_process_instance_segmentation`.zBMake sure to pass in as many orig_target_sizes as max_target_sizesr