# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import yaml from argparse import ArgumentParser, RawDescriptionHelpFormatter import os.path import logging logging.basicConfig(level=logging.INFO) support_list = { 'it':'italian', 'xi':'spanish', 'pu':'portuguese', 'ru':'russian', 'ar':'arabic', 'ta':'tamil', 'ug':'uyghur', 'fa':'persian', 'ur':'urdu', 'rs':'serbian latin', 'oc':'occitan', 'rsc':'serbian cyrillic', 'bg':'bulgarian', 'uk':'ukranian', 'be':'belarusian', 'te':'telugu', 'ka':'kannada', 'chinese_cht':'chinese tradition','hi':'hindi','mr':'marathi', 'ne':'nepali', } assert( os.path.isfile("./rec_multi_language_lite_train.yml") ),"Loss basic configuration file rec_multi_language_lite_train.yml.\ You can download it from \ https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/configs/rec/multi_language/" global_config = yaml.load(open("./rec_multi_language_lite_train.yml", 'rb'), Loader=yaml.Loader) project_path = os.path.abspath(os.path.join(os.getcwd(), "../../../")) class ArgsParser(ArgumentParser): def __init__(self): super(ArgsParser, self).__init__( formatter_class=RawDescriptionHelpFormatter) self.add_argument( "-o", "--opt", nargs='+', help="set configuration options") self.add_argument( "-l", "--language", nargs='+', help="set language type, support {}".format(support_list)) self.add_argument( "--train",type=str,help="you can use this command to change the train dataset default path") self.add_argument( "--val",type=str,help="you can use this command to change the eval dataset default path") self.add_argument( "--dict",type=str,help="you can use this command to change the dictionary default path") self.add_argument( "--data_dir",type=str,help="you can use this command to change the dataset default root path") def parse_args(self, argv=None): args = super(ArgsParser, self).parse_args(argv) args.opt = self._parse_opt(args.opt) args.language = self._set_language(args.language) return args def _parse_opt(self, opts): config = {} if not opts: return config for s in opts: s = s.strip() k, v = s.split('=') config[k] = yaml.load(v, Loader=yaml.Loader) return config def _set_language(self, type): assert(type),"please use -l or --language to choose language type" assert( type[0] in support_list.keys() ),"the sub_keys(-l or --language) can only be one of support list: \n{},\nbut get: {}, " \ "please check your running command".format(support_list, type) global_config['Global']['character_dict_path'] = 'ppocr/utils/dict/{}_dict.txt'.format(type[0]) global_config['Global']['save_model_dir'] = './output/rec_{}_lite'.format(type[0]) global_config['Train']['dataset']['label_file_list'] = ["train_data/{}_train.txt".format(type[0])] global_config['Eval']['dataset']['label_file_list'] = ["train_data/{}_val.txt".format(type[0])] assert( os.path.isfile(os.path.join(project_path,global_config['Global']['character_dict_path'])) ),"Loss default dictionary file {}_dict.txt.You can download it from \ https://github.com/PaddlePaddle/PaddleOCR/tree/dygraph/ppocr/utils/dict/".format(type[0]) return type[0] def merge_config(config): """ Merge config into global config. Args: config (dict): Config to be merged. Returns: global config """ for key, value in config.items(): if "." not in key: if isinstance(value, dict) and key in global_config: global_config[key].update(value) else: global_config[key] = value else: sub_keys = key.split('.') assert ( sub_keys[0] in global_config ), "the sub_keys can only be one of global_config: {}, but get: {}, please check your running command".format( global_config.keys(), sub_keys[0]) cur = global_config[sub_keys[0]] for idx, sub_key in enumerate(sub_keys[1:]): if idx == len(sub_keys) - 2: cur[sub_key] = value else: cur = cur[sub_key] def loss_file(path): assert( os.path.exists(path) ),"There is no such file:{},Please do not forget to put in the specified file".format(path) if __name__ == '__main__': FLAGS = ArgsParser().parse_args() merge_config(FLAGS.opt) save_file_path = 'rec_{}_lite_train.yml'.format(FLAGS.language) if os.path.isfile(save_file_path): os.remove(save_file_path) if FLAGS.train: global_config['Train']['dataset']['label_file_list'] = [FLAGS.train] train_label_path = os.path.join(project_path,FLAGS.train) loss_file(train_label_path) if FLAGS.val: global_config['Eval']['dataset']['label_file_list'] = [FLAGS.val] eval_label_path = os.path.join(project_path,FLAGS.val) loss_file(Eval_label_path) if FLAGS.dict: global_config['Global']['character_dict_path'] = FLAGS.dict dict_path = os.path.join(project_path,FLAGS.dict) loss_file(dict_path) if FLAGS.data_dir: global_config['Eval']['dataset']['data_dir'] = FLAGS.data_dir global_config['Train']['dataset']['data_dir'] = FLAGS.data_dir data_dir = os.path.join(project_path,FLAGS.data_dir) loss_file(data_dir) with open(save_file_path, 'w') as f: yaml.dump(dict(global_config), f, default_flow_style=False, sort_keys=False) logging.info("Project path is :{}".format(project_path)) logging.info("Train list path set to :{}".format(global_config['Train']['dataset']['label_file_list'][0])) logging.info("Eval list path set to :{}".format(global_config['Eval']['dataset']['label_file_list'][0])) logging.info("Dataset root path set to :{}".format(global_config['Eval']['dataset']['data_dir'])) logging.info("Dict path set to :{}".format(global_config['Global']['character_dict_path'])) logging.info("Config file set to :configs/rec/multi_language/{}".format(save_file_path))