docstr: initialize with the necessary elements
docstr_tok: ["initialize","with","the","necessary","elements"]
code: def __init__(self, text_detector_module=None, enable_mkldnn=False):
      """
      initialize with the necessary elements
      """
      self.character_dict_path = os.path.join(
          self.directory, "assets", "ppocr_keys_v1.txt"
      )
      char_ops_params = {
          "character_type": "ch",
          "character_dict_path": self.character_dict_path,
          "loss_type": "ctc",
          "max_text_length": 25,
          "use_space_char": True,
      }
      self.char_ops = CharacterOps(char_ops_params)
      self.rec_image_shape = [3, 32, 320]
      self._text_detector_module = text_detector_module
      self.font_file = os.path.join(
          self.directory, "assets", "simfang.ttf"
      )
      self.enable_mkldnn = enable_mkldnn
  
      self.rec_pretrained_model_path = os.path.join(
          self.directory, "inference_model", "character_rec", "model"
      )
      self.cls_pretrained_model_path = os.path.join(
          self.directory, "inference_model", "angle_cls", "model"
      )
      (
          self.rec_predictor,
          self.rec_input_tensor,
          self.rec_output_tensors,
      ) = self._set_config(self.rec_pretrained_model_path)
      (
          self.cls_predictor,
          self.cls_input_tensor,
          self.cls_output_tensors,
      ) = self._set_config(self.cls_pretrained_model_path)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import argparse
  import ast
  import copy
  import math
  import os
  import time
  import cv2
  import numpy
  import paddle
  from chinese_ocr_db_crnn_server.character import CharacterOps
  from chinese_ocr_db_crnn_server.utils import base64_to_cv2
  from chinese_ocr_db_crnn_server.utils import draw_ocr
  from chinese_ocr_db_crnn_server.utils import get_image_ext
  from chinese_ocr_db_crnn_server.utils import sorted_boxes
  from paddle.inference import Config
  from paddle.inference import create_predictor
  from PIL import Image
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.module import runnable
  from paddlehub.module.module import serving
  from paddlehub.utils.log import logger
label_desc: Use image node_id 1 to create a new ChineseOCRDBCRNNServer object  with example: obj = ChineseOCRDBCRNNServer(text_detector_module, enable_mkldnn)