code: def read_params():
      cfg = Config()
  
      # params for text detector
      cfg.det_algorithm = "DB"
      cfg.det_model_dir = "./inference/ch_PP-OCRv3_det_infer/"
      cfg.det_limit_side_len = 960
      cfg.det_limit_type = "max"
  
      # DB parmas
      cfg.det_db_thresh = 0.3
      cfg.det_db_box_thresh = 0.5
      cfg.det_db_unclip_ratio = 1.6
      cfg.use_dilation = False
      cfg.det_db_score_mode = "fast"
  
      # EAST parmas
      cfg.det_east_score_thresh = 0.8
      cfg.det_east_cover_thresh = 0.1
      cfg.det_east_nms_thresh = 0.2
  
      # params for text recognizer
      cfg.rec_algorithm = "CRNN"
      cfg.rec_model_dir = "./inference/ch_PP-OCRv3_rec_infer/"
  
      cfg.rec_image_shape = "3, 48, 320"
      cfg.rec_batch_num = 6
      cfg.max_text_length = 25
  
      cfg.rec_char_dict_path = "./ppocr/utils/ppocr_keys_v1.txt"
      cfg.use_space_char = True
  
      # params for text classifier
      cfg.use_angle_cls = True
      cfg.cls_model_dir = "./inference/ch_ppocr_mobile_v2.0_cls_infer/"
      cfg.cls_image_shape = "3, 48, 192"
      cfg.label_list = ["0", "180"]
      cfg.cls_batch_num = 30
      cfg.cls_thresh = 0.9
  
      cfg.use_pdserving = False
      cfg.use_tensorrt = False
      cfg.drop_score = 0.5
  
      return cfg
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
label_desc: Use image node_id 1 for calling a global function with example usage: read_params() and returns: cfg