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