| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455 | # -*- coding:utf-8 -*-from __future__ import absolute_importfrom __future__ import divisionfrom __future__ import print_functionclass Config(object):    passdef read_params():    cfg = Config()    #params for text detector    cfg.det_algorithm = "DB"    cfg.det_model_dir = "./utils/PaddleOCR/inference/ch_ppocr_mobile_v2.0_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 = 2.0    cfg.use_dilation = False    #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 = "./utils/PaddleOCR/inference/ch_ppocr_mobile_v2.0_rec_infer/"    cfg.rec_image_shape = "3, 32, 128"    cfg.rec_char_type = 'ch'    cfg.rec_batch_num = 1    cfg.max_text_length = 20    cfg.rec_char_dict_path = "./utils/PaddleOCR/ppocr/utils/ppocr_keys_v1.txt"    cfg.use_space_char = True    #params for text classifier    cfg.use_angle_cls = False    cfg.cls_model_dir = "./utils/PaddleOCR/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
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