code: def __init__(self, args):
      self.use_visual_backbone = args.use_visual_backbone
      self.ser_engine = SerPredictor(args)
      if args.re_model_dir is not None:
          postprocess_params = {"name": "VQAReTokenLayoutLMPostProcess"}
          self.postprocess_op = build_post_process(postprocess_params)
          (
              self.predictor,
              self.input_tensor,
              self.output_tensors,
              self.config,
          ) = utility.create_predictor(args, "re", logger)
      else:
          self.predictor = None
  
file_path: PaddleOCR/ppstructure/kie/predict_kie_token_ser_re.py
imports: import os
  import sys
  import cv2
  import json
  import numpy
  import time
  import tools.infer.utility
  from tools.infer_kie_token_ser_re import make_input
  from ppocr.postprocess import build_post_process
  from ppocr.utils.logging import get_logger
  from ppocr.utils.visual import draw_ser_results, draw_re_results
  from ppocr.utils.utility import get_image_file_list, check_and_read
  from ppstructure.utility import parse_args
  from ppstructure.kie.predict_kie_token_ser import SerPredictor
label_desc: Use image node_id 1 to create a new SerRePredictor object from inherited base classes: object with example: obj = SerRePredictor(args)