code: def main():
      cfg = merge_cfg(FLAGS)
      print_arguments(cfg)
      vehicleplate_cfg = cfg["VEHICLE_PLATE"]
      detector = PlateRecognizer(FLAGS, vehicleplate_cfg)
      # predict from image
      img_list = get_test_images(FLAGS.image_dir, FLAGS.image_file)
      for img in img_list:
          image = cv2.imread(img)
          results = detector.get_platelicense([image])
          print(results)
  
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 1 for calling a global function with example usage: main() without return types