diff --git a/README.md b/README.md index d562254470fb0b653ac945c1589e9fe9d0a44fd5..75e30a39a370dfba6aa079303956682913445a22 100644 --- a/README.md +++ b/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). + +## Community +- Scan the QR code below with your Wechat, you can access to official technical exchange group. Look forward to your participation. + +
+ +
+ + ## 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 -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 - -## Community -Scan the QR code below with your Wechat and completing the questionnaire, you can access to official technical exchange group. -
- -
## License diff --git a/README_ch.md b/README_ch.md index 7d29a6a37ec46fe9faaf83912a5f8680b11b5105..93199fafe1909fc544a4386b48a1b3a542b8af8a 100644 --- a/README_ch.md +++ b/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)。 + +## 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。 + +
+ +
+ + ## 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 - -## 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 -
- -
## 许可证书 diff --git a/doc/joinus.PNG b/doc/joinus.PNG index fa11f286d7d2d56d18d94e9034c3be77c974d42f..8401210b30578e728d4462a8c0eab1c48ce8e3be 100644 Binary files a/doc/joinus.PNG and b/doc/joinus.PNG differ