提交 a0f13f43 编写于 作者: littletomatodonkey's avatar littletomatodonkey

fix recognition doc

上级 25d7eb87
......@@ -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:
`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
......
......@@ -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
......
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