code: def bench_one_submit(self):
      output_file = os.path.join(self.save_dir, "pred.json")
      if output_file is not None:
          mkdir(output_file)
      with open(output_file, "w+") as f:
          for line in self.dump_to_json:
              print(line, end="\n", file=f)
  
      eval_rst, acc, fp, fn = LaneEval.bench_one_submit(
          output_file, self.test_gt_json
      )
      self.dump_to_json = []
      return acc, fp, fn, eval_rst
  
file_path: PaddleHub/modules/image/semantic_segmentation/bisenet_lane_segmentation/lane_processor/tusimple_processor.py
imports: import os
  import cv2
  import json
  import paddle.nn
  from .lane import LaneEval
  from .get_lane_coords import LaneProcessor
label_desc: Use image node_id 4 for calling the TusimpleProcessor obj's underlying member method code with example usage: obj.bench_one_submit() and returns: acc,  fp,  fn,  eval_rst