diff --git a/doc/doc_ch/recognition.md b/doc/doc_ch/recognition.md index c85b89ee7f7d1d73c99185fd4a79a5c65ebd7acf..eeb937fc129b5fbfbc6d7512cf7e2f29f9543cea 100644 --- a/doc/doc_ch/recognition.md +++ b/doc/doc_ch/recognition.md @@ -97,9 +97,23 @@ n word_dict.txt 每行有一个单字,将字符与数字索引映射在一起,“and” 将被映射成 [2 5 1] `ppocr/utils/ppocr_keys_v1.txt` 是一个包含6623个字符的中文字典, + `ppocr/utils/ic15_dict.txt` 是一个包含36个字符的英文字典, + +`ppocr/utils/french_dict.txt` 是一个包含118个字符的法文字典 + +`ppocr/utils/japan_dict.txt` 是一个包含4399个字符的法文字典 + +`ppocr/utils/korean_dict.txt` 是一个包含3636个字符的法文字典 + +`ppocr/utils/german_dict.txt` 是一个包含131个字符的法文字典 + + 您可以按需使用。 +目前的多语言模型仍处在demo阶段,会持续优化模型并补充语种,**非常欢迎您为我们提供其他语言的字典和字体**, +如您愿意可将字典文件提交至 [utils](../../ppocr/utils) ,我们会在Repo中感谢您。 + - 自定义字典 如需自定义dic文件,请在 `configs/rec/rec_icdar15_train.yml` 中添加 `character_dict_path` 字段, 指向您的字典路径。 @@ -222,7 +236,39 @@ PaddleOCR也提供了多语言的, `configs/rec/multi_languages` 路径下的 | rec_japan_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 日语 | | rec_korean_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 韩语 | -多语言模型训练方式与中文模型一致,训练数据集均为100w的合成数据,少量的字体和测试数据可以在[百度网盘]()上下载。 +多语言模型训练方式与中文模型一致,训练数据集均为100w的合成数据,少量的字体可以在 [百度网盘](https://pan.baidu.com/s/1bS_u207Rm7YbY33wOECKDA) 上下载,提取码:frgi。 + +如您希望在现有模型效果的基础上调优,请参考下列说明修改配置文件: + +以 `rec_french_lite_train` 为例: +``` +Global: + ... + # 添加自定义字典,如修改字典请将路径指向新字典 + character_dict_path: ./ppocr/utils/french_dict.txt + # 训练时添加数据增强 + distort: true + # 识别空格 + use_space_char: true + ... + # 修改reader类型 + reader_yml: ./configs/rec/multi_languages/rec_french_reader.yml + ... +... +``` + +同时需要修改数据读取文件 `rec_french_reader.yml`: + +``` +TrainReader: + ... + # 修改训练数据存放的目录名 + img_set_dir: ./train_data + # 修改 label 文件名称 + label_file_path: ./train_data/french_train.txt + +... +``` ### 评估 diff --git a/doc/doc_en/recognition_en.md b/doc/doc_en/recognition_en.md index c141201cc005335c9346696526ba32d89e26af86..142bfdb80c2b848b4720b94b4fbd794d339d0448 100644 --- a/doc/doc_en/recognition_en.md +++ b/doc/doc_en/recognition_en.md @@ -92,9 +92,21 @@ In `word_dict.txt`, there is a single word in each line, which maps characters a `ppocr/utils/ppocr_keys_v1.txt` is a Chinese dictionary with 6623 characters. -`ppocr/utils/ic15_dict.txt` is an English dictionary with 36 characters. +`ppocr/utils/ic15_dict.txt` is an English dictionary with 63 characters + +`ppocr/utils/french_dict.txt` is a French dictionary with 118 characters + +`ppocr/utils/japan_dict.txt` is a French dictionary with 4399 characters + +`ppocr/utils/korean_dict.txt` is a French dictionary with 3636 characters + +`ppocr/utils/german_dict.txt` is a French dictionary with 131 characters + +You can use it on demand. + +The current multi-language model is still in the demo stage and will continue to optimize the model and add languages. **You are very welcome to provide us with dictionaries and fonts in other languages**, +If you like, you can submit the dictionary file to [utils](../../ppocr/utils) and we will thank you in the Repo. -You can use them if needed. To customize the dict file, please modify the `character_dict_path` field in `configs/rec/rec_icdar15_train.yml` and set `character_type` to `ch`. @@ -215,7 +227,29 @@ PaddleOCR also provides multi-language. The configuration file in `configs/rec/m | rec_japan_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | Japanese | | rec_korean_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | Korean | -The multi-language model training method is the same as the Chinese model. The training data set is 100w synthetic data. A small amount of fonts and test data can be downloaded on [Baidu Netdisk](). +The multi-language model training method is the same as the Chinese model. The training data set is 100w synthetic data. A small amount of fonts and test data can be downloaded on [Baidu Netdisk](https://pan.baidu.com/s/1bS_u207Rm7YbY33wOECKDA),Extraction code:frgi. + +If you want to finetune on the basis of the existing model effect, please refer to the following instructions to modify the configuration file: + +Take `rec_french_lite_train` as an example: + +``` +Global: + ... + # Add a custom dictionary, if you modify the dictionary + # please point the path to the new dictionary + character_dict_path: ./ppocr/utils/french_dict.txt + # Add data augmentation during training + distort: true + # Identify spaces + use_space_char: true + ... + # Modify reader type + reader_yml: ./configs/rec/multi_languages/rec_french_reader.yml + ... +... +``` + ### EVALUATION