code: def replace_cn_code(self, text):
      simcode = {
          "浙": "ZJ-",
          "粤": "GD-",
          "京": "BJ-",
          "津": "TJ-",
          "冀": "HE-",
          "晋": "SX-",
          "蒙": "NM-",
          "辽": "LN-",
          "黑": "HLJ-",
          "沪": "SH-",
          "吉": "JL-",
          "苏": "JS-",
          "皖": "AH-",
          "赣": "JX-",
          "鲁": "SD-",
          "豫": "HA-",
          "鄂": "HB-",
          "湘": "HN-",
          "桂": "GX-",
          "琼": "HI-",
          "渝": "CQ-",
          "川": "SC-",
          "贵": "GZ-",
          "云": "YN-",
          "藏": "XZ-",
          "陕": "SN-",
          "甘": "GS-",
          "青": "QH-",
          "宁": "NX-",
          "闽": "FJ-",
          "·": " ",
      }
      for _char in text:
          if _char in simcode:
              text = text.replace(_char, simcode[_char])
      return text
  
imports: import os
  import yaml
  import glob
  from functools import reduce
  import time
  import cv2
  import numpy
  import math
  import paddle
  import sys
  from python.infer import get_test_images
  from python.preprocess import preprocess, NormalizeImage, Permute, Resize_Mult32
  from pipeline.ppvehicle.vehicle_plateutils import create_predictor, get_infer_gpuid, get_rotate_crop_image, draw_boxes
  from pipeline.ppvehicle.vehicleplate_postprocess import build_post_process
  from pipeline.cfg_utils import merge_cfg, print_arguments, argsparser
label_desc: Use image node_id 4 for calling the PlateRecognizer obj's underlying member method code with example usage: obj.replace_cn_code(text) and returns: text