code: def main(args):
      """
      Main inference function.
      Args:
          args: Parameters generated using argparser.
      Returns:
          class_id: Class index of the input.
          prob: : Probability of the input.
      """
      inference_engine = InferenceEngine(args)
  
      # init benchmark
      if args.benchmark:
          import auto_log
  
          autolog = auto_log.AutoLogger(
              model_name="db",
              batch_size=args.batch_size,
              inference_config=inference_engine.config,
              gpu_ids="auto" if args.use_gpu else None,
          )
  
      # enable benchmark
      if args.benchmark:
          autolog.times.start()
  
      # preprocess
      img, shape_info = inference_engine.preprocess(
          args.img_path, args.short_size
      )
  
      if args.benchmark:
          autolog.times.stamp()
  
      output = inference_engine.run(img)
  
      if args.benchmark:
          autolog.times.stamp()
  
      # postprocess
      box_list, score_list = inference_engine.postprocess(
          output, shape_info, args.polygon
      )
  
      if args.benchmark:
          autolog.times.stamp()
          autolog.times.end(stamp=True)
          autolog.report()
  
      img = draw_bbox(cv2.imread(args.img_path)[:, :, ::-1], box_list)
      # 保存结果到路径
      os.makedirs("output", exist_ok=True)
      img_path = pathlib.Path(args.img_path)
      output_path = os.path.join(
          "output", img_path.stem + "_infer_result.jpg"
      )
      cv2.imwrite(output_path, img[:, :, ::-1])
      save_result(
          output_path.replace("_infer_result.jpg", ".txt"),
          box_list,
          score_list,
          args.polygon,
      )
  
imports: import os
  import sys
  import pathlib
  import cv2
  import paddle
  from paddle import inference
  import numpy
  from PIL import Image
  from paddle.vision import transforms
  from tools.predict import resize_image
  from post_processing import get_post_processing
  from utils.util import draw_bbox, save_result
label_desc: Use image node_id 2 for calling a global function with example usage: main(args) without return types