code: def preprocess(self, im_path):
      preprocess_ops = []
      for op_type, new_op_info in self.pre_process_list.items():
          preprocess_ops.append(eval(op_type)(**new_op_info))
  
      input_im_lst = []
      input_im_info_lst = []
  
      im, im_info = preprocess(im_path, preprocess_ops)
      input_im_lst.append(im)
      input_im_info_lst.append(
          im_info["im_shape"] / im_info["scale_factor"]
      )
  
      return np.stack(input_im_lst, axis=0), input_im_info_lst
  
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 2 for calling the PlateDetector obj's underlying member method code with example usage: obj.preprocess(im_path) and returns: np,  input_im_info_lst