- Release [PP-Structurev2](./ppstructure/)，with functions and performance fully upgraded, adapted to Chinese scenes, and new support for [Layout Recovery](./ppstructure/recovery) and **one line command to convert PDF to Word**;
-[Layout Analysis](./ppstructure/layout) optimization: model storage reduced by 95%, while speed increased by 11 times, and the average CPU time-cost is only 41ms;
-[Table Recognition](./ppstructure/table) optimization: 3 optimization strategies are designed, and the model accuracy is improved by 6% under comparable time consumption;
-[Key Information Extraction](./ppstructure/kie) optimization：a visual-independent model structure is designed, the accuracy of semantic entity recognition is increased by 2.8%, and the accuracy of relation extraction is increased by 9.1%.
-**🔥2022.8 Release [OCR scene application collection](./applications/README_en.md)**
- Release **9 vertical models** such as digital tube, LCD screen, license plate, handwriting recognition model, high-precision SVTR model, etc, covering the main OCR vertical applications in general, manufacturing, finance, and transportation industries.
-**2022.8 Add implementation of [8 cutting-edge algorithms](doc/doc_en/algorithm_overview_en.md)**
- Text Detection: [FCENet](doc/doc_en/algorithm_det_fcenet_en.md), [DB++](doc/doc_en/algorithm_det_db_en.md)
- Text Recognition: [ViTSTR](doc/doc_en/algorithm_rec_vitstr_en.md), [ABINet](doc/doc_en/algorithm_rec_abinet_en.md), [VisionLAN](doc/doc_en/algorithm_rec_visionlan_en.md), [SPIN](doc/doc_en/algorithm_rec_spin_en.md), [RobustScanner](doc/doc_en/algorithm_rec_robustscanner_en.md)
- Release [PP-OCRv3](./doc/doc_en/ppocr_introduction_en.md#pp-ocrv3): With comparable speed, the effect of Chinese scene is further improved by 5% compared with PP-OCRv2, the effect of English scene is improved by 11%, and the average recognition accuracy of 80 language multilingual models is improved by more than 5%.
- Release [PPOCRLabelv2](./PPOCRLabel): Add the annotation function for table recognition task, key information extraction task and irregular text image.
- Release interactive e-book [*"Dive into OCR"*](./doc/doc_en/ocr_book_en.md), covers the cutting-edge theory and code practice of OCR full stack technology.
-[more](./doc/doc_en/update_en.md)
## Features
## 🌟 Features
PaddleOCR support a variety of cutting-edge algorithms related to OCR, and developed industrial featured models/solution [PP-OCR](./doc/doc_en/ppocr_introduction_en.md) and [PP-Structure](./ppstructure/README.md) on this basis, and get through the whole process of data production, model training, compression, inference and deployment.
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@@ -59,7 +55,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
> It is recommended to start with the “quick experience” in the document tutorial
## Quick Experience
## ⚡ Quick Experience
- Web online experience for the ultra-lightweight OCR: [Online Experience](https://www.paddlepaddle.org.cn/hub/scene/ocr)
- Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Android systems): [Sign in to the website to obtain the QR code for installing the App](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)
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@@ -67,22 +63,24 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
<aname="book"></a>
## E-book: *Dive Into OCR*
-[Dive Into OCR 📚](./doc/doc_en/ocr_book_en.md)
## 📚 E-book: *Dive Into OCR*
-[Dive Into OCR ](./doc/doc_en/ocr_book_en.md)
<aname="Community"></a>
## Community
-**Join us**👬: Scan the QR code below with your Wechat, you can join the official technical discussion group. Looking forward to your participation.
## 👫 Community
- For international developers, we regard [PaddleOCR Discussions](https://github.com/PaddlePaddle/PaddleOCR/discussions) as our international community platform. All ideas and questions can be discussed here in English.
- For Chinese develops, Scan the QR code below with your Wechat, you can join the official technical discussion group. For richer community content, please refer to [中文README](README_ch.md), looking forward to your participation.
