code: def execute(self, output, raw_data):
      postprocessed_objects = []
  
      # TODO: Return object syntax is broken / not implemented
      for return_object in output.return_objects:
          if self.verbose:
              print(("Postprocessing with...", self.name))
  
          # This piece of code has not yet been refactored.
          if self.ground_truth in list(raw_data.keys()):
              casename = raw_data["casename"][0]
          else:
              casename = None
  
          postprocessed_objects += [
              self.postprocess(
                  return_object, raw_data=raw_data, casename=casename
              )
          ]
  
      output.return_objects = postprocessed_objects
  
file_path: DeepNeuro/deepneuro/postprocessing/postprocessor.py
imports: from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 3 for calling the Postprocessor obj's underlying member method code with example usage: obj.execute(output, raw_data) without return types