code: def postprocess(self, input_dicts, fetch_dict, data_id, log_id):
      ((_, input_dict),) = input_dicts.items()
      if GLOBAL_VAR["model_config"].arch in ["HRNet"]:
          result = self.parse_keypoint_result(input_dict, fetch_dict)
      else:
          result = self.parse_detection_result(input_dict, fetch_dict)
      return result, None, ""
  
imports: import copy
  from paddle_serving_server.web_service import WebService, Op
  from paddle_serving_server.proto import general_model_config_pb2
  import google.protobuf.text_format
  import os
  import numpy
  import base64
  from PIL import Image
  import io
  from preprocess_ops import Compose
  from postprocess_ops import HRNetPostProcess
  from argparse import ArgumentParser, RawDescriptionHelpFormatter
  import yaml
label_desc: Use image node_id 3 for calling the DetectorOp obj's underlying member method code with example usage: obj.postprocess(input_dicts, fetch_dict, data_id, log_id) and returns: result,  None,  str