def _postprocess(instances, batched_inputs: List[Dict[str, torch.Tensor]], image_sizes):
        """
        Rescale the output instances to the target size.
        """
        # note: private function; subject to changes
        processed_results = []
        for results_per_image, input_per_image, image_size in zip(
            instances, batched_inputs, image_sizes
        ):
            height = input_per_image.get("height", image_size[0])
            width = input_per_image.get("width", image_size[1])
            r = detector_postprocess(results_per_image, height, width)
            processed_results.append({"instances": r})
        return processed_results

        Rescale the output instances to the target size.
        
video_chat_with_StableLM/models/grit_src/third_party/CenterNet2/detectron2/modeling/meta_arch/rcnn.py