code: def init_det_debugger(self, det_model_config):
      self.det_preprocess = Sequential(
          [
              ResizeByFactor(32, 960),
              Div(255),
              Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
              Transpose((2, 0, 1)),
          ]
      )
      self.det_client = LocalPredictor()
      if sys.argv[1] == "gpu":
          self.det_client.load_model_config(
              det_model_config, use_gpu=True, gpu_id=0
          )
      elif sys.argv[1] == "cpu":
          self.det_client.load_model_config(det_model_config)
      self.ocr_reader = OCRReader(
          char_dict_path="../../../ppocr/utils/ppocr_keys_v1.txt"
      )
  
file_path: PaddleOCR/deploy/pdserving/win/ocr_web_server.py
imports: from paddle_serving_client import Client
  import cv2
  import sys
  import numpy
  import os
  from paddle_serving_client import Client
  from paddle_serving_app.reader import Sequential, URL2Image, ResizeByFactor
  from paddle_serving_app.reader import Div, Normalize, Transpose
  from paddle_serving_app.reader import DBPostProcess, FilterBoxes, GetRotateCropImage, SortedBoxes
  from ocr_reader import OCRReader
  from paddle_serving_app.local_predict import LocalPredictor
  import time
  import re
  import base64
label_desc: Use image node_id 1 for calling the OCRService obj's underlying member method code with example usage: obj.init_det_debugger(det_model_config) without return types