fix recognition doc
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littletomatodonkey
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@ -97,9 +97,23 @@ n
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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]
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`ppocr/utils/ppocr_keys_v1.txt` 是一个包含6623个字符的中文字典，
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`ppocr/utils/ic15_dict.txt` 是一个包含36个字符的英文字典，
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`ppocr/utils/french_dict.txt` 是一个包含118个字符的法文字典
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`ppocr/utils/japan_dict.txt` 是一个包含4399个字符的法文字典
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`ppocr/utils/korean_dict.txt` 是一个包含3636个字符的法文字典
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`ppocr/utils/german_dict.txt` 是一个包含131个字符的法文字典
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您可以按需使用。
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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**，
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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。
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- 自定义字典
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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。
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@ -222,7 +236,39 @@ PaddleOCR也提供了多语言的， `configs/rec/multi_languages` 路径下的
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| rec_japan_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 日语 ｜
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| rec_korean_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 韩语 ｜
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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。
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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。
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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：
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以 `rec_french_lite_train` 为例：
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```
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Global:
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...
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# 添加自定义字典，如修改字典请将路径指向新字典
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character_dict_path: ./ppocr/utils/french_dict.txt
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# 训练时添加数据增强
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distort: true
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# 识别空格
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use_space_char: true
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...
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# 修改reader类型
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reader_yml: ./configs/rec/multi_languages/rec_french_reader.yml
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...
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...
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```
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同时需要修改数据读取文件 `rec_french_reader.yml`：
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```
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TrainReader:
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...
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# 修改训练数据存放的目录名
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img_set_dir: ./train_data
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# 修改 label 文件名称
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label_file_path: ./train_data/french_train.txt
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...
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```
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### 评估
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@ -92,9 +92,21 @@ In `word_dict.txt`, there is a single word in each line, which maps characters a
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`ppocr/utils/ppocr_keys_v1.txt` is a Chinese dictionary with 6623 characters.
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`ppocr/utils/ic15_dict.txt` is an English dictionary with 36 characters.
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`ppocr/utils/ic15_dict.txt` is an English dictionary with 63 characters
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`ppocr/utils/french_dict.txt` is a French dictionary with 118 characters
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`ppocr/utils/japan_dict.txt` is a French dictionary with 4399 characters
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`ppocr/utils/korean_dict.txt` is a French dictionary with 3636 characters
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`ppocr/utils/german_dict.txt` is a French dictionary with 131 characters
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You can use it on demand.
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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**,
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If you like, you can submit the dictionary file to [utils](../../ppocr/utils) and we will thank you in the Repo.
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You can use them if needed.
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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`.
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@ -215,7 +227,29 @@ PaddleOCR also provides multi-language. The configuration file in `configs/rec/m
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| rec_japan_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | Japanese ｜
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| rec_korean_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | Korean ｜
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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]().
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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.
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If you want to finetune on the basis of the existing model effect, please refer to the following instructions to modify the configuration file:
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Take `rec_french_lite_train` as an example:
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```
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Global:
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...
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# Add a custom dictionary, if you modify the dictionary
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# please point the path to the new dictionary
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character_dict_path: ./ppocr/utils/french_dict.txt
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# Add data augmentation during training
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distort: true
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# Identify spaces
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use_space_char: true
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...
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# Modify reader type
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reader_yml: ./configs/rec/multi_languages/rec_french_reader.yml
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...
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...
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```
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### EVALUATION
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