test=develop, test=document_fix
This commit is contained in:
parent
c21081fdfc
commit
a337e12db2
17
README.md
17
README.md
|
@ -32,6 +32,15 @@ PaddleOCR aims to create rich, leading, and practical OCR tools that help users
|
|||
|
||||
The above pictures are the visualizations of the general ppocr_server model. For more effect pictures, please see [More visualizations](./doc/doc_en/visualization_en.md).
|
||||
|
||||
<a name="Community"></a>
|
||||
## Community
|
||||
- Scan the QR code below with your Wechat, you can access to official technical exchange group. Look forward to your participation.
|
||||
|
||||
<div align="center">
|
||||
<img src="./doc/joinus.PNG" width = "200" height = "200" />
|
||||
</div>
|
||||
|
||||
|
||||
## Quick Experience
|
||||
|
||||
You can also quickly experience the ultra-lightweight OCR : [Online Experience](https://www.paddlepaddle.org.cn/hub/scene/ocr)
|
||||
|
@ -102,7 +111,7 @@ For more model downloads (including multiple languages), please refer to [PP-OCR
|
|||
<img src="./doc/ppocr_framework.png" width="800">
|
||||
</div>
|
||||
|
||||
PP-OCR is a practical ultra-lightweight OCR system. It is mainly composed of three parts: DB text detection, detection frame correction and CRNN text recognition. The system adopts 19 effective strategies from 8 aspects including backbone network selection and adjustment, prediction head design, data augmentation, learning rate transformation strategy, regularization parameter selection, pre-training model use, and automatic model tailoring and quantization to optimize and slim down the models of each module. The final results are an ultra-lightweight Chinese and English OCR model with an overall size of 3.5M and a 2.8M English digital OCR model. For more details, please refer to the PP-OCR technical article (https://arxiv.org/abs/2009.09941). Besides, The implementation of the FPGM Pruner and PACT quantization is based on [PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim).
|
||||
PP-OCR is a practical ultra-lightweight OCR system. It is mainly composed of three parts: DB text detection, detection frame correction and CRNN text recognition. The system adopts 19 effective strategies from 8 aspects including backbone network selection and adjustment, prediction head design, data augmentation, learning rate transformation strategy, regularization parameter selection, pre-training model use, and automatic model tailoring and quantization to optimize and slim down the models of each module. The final results are an ultra-lightweight Chinese and English OCR model with an overall size of 3.5M and a 2.8M English digital OCR model. For more details, please refer to the PP-OCR technical article (https://arxiv.org/abs/2009.09941). Besides, The implementation of the FPGM Pruner and PACT quantization is based on [PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim).
|
||||
|
||||
|
||||
|
||||
|
@ -126,13 +135,7 @@ PP-OCR is a practical ultra-lightweight OCR system. It is mainly composed of thr
|
|||
<img src="./doc/imgs_results/1112.jpg" width="800">
|
||||
</div>
|
||||
|
||||
<a name="Community"></a>
|
||||
## Community
|
||||
Scan the QR code below with your Wechat and completing the questionnaire, you can access to official technical exchange group.
|
||||
|
||||
<div align="center">
|
||||
<img src="./doc/joinus.PNG" width = "200" height = "200" />
|
||||
</div>
|
||||
|
||||
<a name="LICENSE"></a>
|
||||
## License
|
||||
|
|
15
README_ch.md
15
README_ch.md
|
@ -35,6 +35,15 @@ PaddleOCR旨在打造一套丰富、领先、且实用的OCR工具库,助力
|
|||
|
||||
上图是通用ppocr_server模型效果展示,更多效果图请见[效果展示页面](./doc/doc_ch/visualization.md)。
|
||||
|
||||
<a name="欢迎加入PaddleOCR技术交流群"></a>
|
||||
## 欢迎加入PaddleOCR技术交流群
|
||||
- 微信扫描二维码加入官方交流群,获得更高效的问题答疑,与各行各业开发者充分交流,期待您的加入。
|
||||
|
||||
<div align="center">
|
||||
<img src="./doc/joinus.png" width = "200" height = "200" />
|
||||
</div>
|
||||
|
||||
|
||||
## 快速体验
|
||||
- PC端:超轻量级中文OCR在线体验地址:https://www.paddlepaddle.org.cn/hub/scene/ocr
|
||||
|
||||
|
@ -125,13 +134,7 @@ PP-OCR是一个实用的超轻量OCR系统。主要由DB文本检测、检测框
|
|||
<img src="./doc/imgs_results/1112.jpg" width="800">
|
||||
</div>
|
||||
|
||||
<a name="欢迎加入PaddleOCR技术交流群"></a>
|
||||
## 欢迎加入PaddleOCR技术交流群
|
||||
请扫描下面二维码,完成问卷填写,获取加群二维码和OCR方向的炼丹秘籍
|
||||
|
||||
<div align="center">
|
||||
<img src="./doc/joinus.PNG" width = "200" height = "200" />
|
||||
</div>
|
||||
|
||||
<a name="许可证书"></a>
|
||||
## 许可证书
|
||||
|
|
BIN
doc/joinus.PNG
BIN
doc/joinus.PNG
Binary file not shown.
Before Width: | Height: | Size: 16 KiB After Width: | Height: | Size: 356 KiB |
Loading…
Reference in New Issue