Merge branch 'develop' of https://github.com/PaddlePaddle/PaddleOCR into add_rec_score
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@ -0,0 +1,18 @@
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# Byte-compiled / optimized / DLL files
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__pycache__/
|
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*.py[cod]
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*$py.class
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|
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# C extensions
|
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*.so
|
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|
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inference/
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inference_results/
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output/
|
||||
|
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*.DS_Store
|
||||
*.vs
|
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*.user
|
||||
*~
|
||||
*.vscode
|
||||
*.idea
|
29
README.md
|
@ -30,7 +30,7 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库,助力
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![](doc/imgs_results/11.jpg)
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上图是超轻量级中文OCR模型效果展示,更多效果图请见文末[效果展示](#效果展示)。
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上图是超轻量级中文OCR模型效果展示,更多效果图请见文末[超轻量级中文OCR效果展示](#超轻量级中文OCR效果展示)和[通用中文OCR效果展示](#通用中文OCR效果展示)。
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#### 1.环境配置
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|
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|
@ -142,7 +142,7 @@ PaddleOCR文本识别算法的训练和使用请参考文档教程中[文本识
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## 端到端OCR算法
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- [ ] [End2End-PSL](https://arxiv.org/abs/1909.07808)(百度自研, comming soon)
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|
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<a name="效果展示"></a>
|
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<a name="超轻量级中文OCR效果展示"></a>
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## 超轻量级中文OCR效果展示
|
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![](doc/imgs_results/1.jpg)
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![](doc/imgs_results/7.jpg)
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|
@ -153,11 +153,36 @@ PaddleOCR文本识别算法的训练和使用请参考文档教程中[文本识
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![](doc/imgs_results/16.png)
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![](doc/imgs_results/22.jpg)
|
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|
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<a name="通用中文OCR效果展示"></a>
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## 通用中文OCR效果展示
|
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![](doc/imgs_results/chinese_db_crnn_server/11.jpg)
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![](doc/imgs_results/chinese_db_crnn_server/2.jpg)
|
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![](doc/imgs_results/chinese_db_crnn_server/8.jpg)
|
||||
|
||||
## FAQ
|
||||
1. 预测报错:got an unexpected keyword argument 'gradient_clip'
|
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|
||||
安装的paddle版本不对,目前本项目仅支持paddle1.7,近期会适配到1.8。
|
||||
|
||||
2. 转换attention识别模型时报错:KeyError: 'predict'
|
||||
|
||||
基于Attention损失的识别模型推理还在调试中。对于中文文本识别,建议优先选择基于CTC损失的识别模型,实践中也发现基于Attention损失的效果不如基于CTC损失的识别模型。
|
||||
|
||||
3. 关于推理速度
|
||||
|
||||
图片中的文字较多时,预测时间会增,可以使用--rec_batch_num设置更小预测batch num,默认值为30,可以改为10或其他数值。
|
||||
|
||||
4. 服务部署与移动端部署
|
||||
|
||||
预计6月中下旬会先后发布基于Serving的服务部署方案和基于Paddle Lite的移动端部署方案,欢迎持续关注。
|
||||
|
||||
5. 自研算法发布时间
|
||||
|
||||
自研算法SAST、SRN、End2End-PSL都将在6-7月陆续发布,敬请期待。
|
||||
|
||||
## 欢迎加入PaddleOCR技术交流群
|
||||
加微信:paddlehelp,备注OCR,小助手拉你进群~
|
||||
|
||||
## 更新
|
||||
- 2020.5.30,模型预测、训练支持Windows系统,识别结果的显示进行了优化
|
||||
- 2020.5.30,开源通用中文OCR模型
|
||||
|
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