[Doc] update doc (#10564)

* add finetune en doc & test=document_fix

* fix dead link & test=document_fix

* fix dead link & test=document_fix

* update check img

* fix det res dtype

* update args default type & test=document_fix

* fix numpy version

* support numpy1.24.0

* fix doc & test=document_fix

* update doc

* update doc, test=document_fix

README.md

@@ -26,6 +26,12 @@ PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools
 </div>
 
 ## 📣 Recent updates
+- **🔥2023.8.7 Release PaddleOCR[release/2.7](https://github.com/PaddlePaddle/PaddleOCR/tree/release/2.7)**
+  - Release [PP-OCRv4](./doc/doc_ch/PP-OCRv4_introduction.md), support mobile version and server version
+    - PP-OCRv4-mobile：When the speed is comparable, the effect of the Chinese scene is improved by 4.5% compared with PP-OCRv3, the English scene is improved by 10%, and the average recognition accuracy of the 80-language multilingual model is increased by more than 8%.
+    - PP-OCRv4-server：Release the OCR model with the highest accuracy at present, the detection model accuracy increased by 4.9% in the Chinese and English scenes, and the recognition model accuracy increased by 2%
+        refer [quickstart](./doc/doc_en/quickstart_en.md) quick use by one line command, At the same time, the whole process of model training, reasoning, and high-performance deployment can also be completed with few code in the [General OCR Industry Solution](https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286) in PaddleX.
+  - Release[PP-ChatOCR](https://aistudio.baidu.com/aistudio/projectdetail/6488689), a new scheme for extracting key information of general scenes using PP-OCR model and ERNIE LLM.
 - 🔨**2022.11 Add implementation of [4 cutting-edge algorithms](doc/doc_ch/algorithm_overview_en.md)**：Text Detection [DRRG](doc/doc_en/algorithm_det_drrg_en.md),  Text Recognition [RFL](./doc/doc_en/algorithm_rec_rfl_en.md), Image Super-Resolution [Text Telescope](doc/doc_en/algorithm_sr_telescope_en.md)，Handwritten Mathematical Expression Recognition [CAN](doc/doc_en/algorithm_rec_can_en.md)
 - **2022.10 release [optimized JS version PP-OCRv3 model](./deploy/paddlejs/README.md)** with 4.3M model size, 8x faster inference time, and a ready-to-use web demo
 - 💥 **Live Playback: Introduction to PP-StructureV2 optimization strategy**. Scan [the QR code below](#Community) using WeChat, follow the PaddlePaddle official account and fill out the questionnaire to join the WeChat group, get the live link and 20G OCR learning materials (including PDF2Word application, 10 models in vertical scenarios, etc.)
@@ -51,7 +57,7 @@ PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools
 
 ## 🌟 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.
+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)、 [PP-Structure](./ppstructure/README.md) and [PP-ChatOCR](https://aistudio.baidu.com/aistudio/projectdetail/6488689) on this basis, and get through the whole process of data production, model training, compression, inference and deployment.
 
 <div align="center">
     <img src="https://user-images.githubusercontent.com/25809855/186171245-40abc4d7-904f-4949-ade1-250f86ed3a90.png">
@@ -62,10 +68,29 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
 
 ## ⚡ 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)
-- One line of code quick use: [Quick Start](./doc/doc_en/quickstart_en.md)
+- Web online experience
+    - PP-OCRv4 online experience：https://aistudio.baidu.com/aistudio/projectdetail/6611435
+    - PP-ChatOCR online experience：https://aistudio.baidu.com/aistudio/projectdetail/6488689
+- One line of code quick use: [Quick Start（Chinese/English/Multilingual/Document Analysis](./doc/doc_en/quickstart_en.md)
+- Full-process experience of training, inference, and high-performance deployment in the Paddle AI suite (PaddleX)：
+    - PP-OCRv4：https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286
+    - PP-ChatOCR：https://aistudio.baidu.com/aistudio/projectdetail/6488689  
+- Mobile demo experience：[Installation DEMO](https://ai.baidu.com/easyedge/app/openSource?from=paddlelite)(Based on EasyEdge and Paddle-Lite, support iOS and Android systems)
 
+<a name="Technical exchange and cooperation"></a>
+
+## 📖 Technical exchange and cooperation
+- ([PaddleX](http://10.136.157.23:8080/paddle/paddleX))provides a one-stop full-process high-efficiency development platform for flying paddle ecological model training, pressure, and push. Its mission is to help AI technology quickly land, and its vision is to make everyone an AI Developer!
+   - PaddleX currently covers areas such as image classification, object detection, image segmentation, 3D, OCR, and time series prediction, and has built-in 36 basic single models, such as RP-DETR, PP-YOLOE, PP-HGNet, PP-LCNet, PP- LiteSeg, etc.; integrated 12 industrial solutions, such as PP-OCRv4, PP-ChatOCR, PP-ShiTu, PP-TS, vehicle-mounted road waste detection, identification of prohibited wildlife products, etc.
+   - PaddleX provides two AI development modes: "Toolbox" and "Developer". The toolbox mode can tune key hyperparameters without code, and the developer mode can perform single-model training, push and multi-model serial inference with low code, and supports both cloud and local terminals.
+   - PaddleX also supports joint innovation and development, profit sharing! At present, PaddleX is rapidly iterating, and welcomes the participation of individual developers and enterprise developers to create a prosperous AI technology ecosystem!
+
+Scan the QR code below on WeChat to add operation students, and reply [paddlex], operation students will invite you to join the official communication group for more efficient questions and answers.
+
+<div align="center">
+<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/dygraph/doc/joinus_paddlex.jpg"  width = "150" height = "150",caption='' />
+<p>[PaddleX] technology exchange group QR code</p>
+</div>
 
 <a name="book"></a>
 ## 📚 E-book: *Dive Into OCR*
@@ -89,17 +114,15 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
 
 | Model introduction                                           | Model name                   | Recommended scene | Detection model                                              | Direction classifier                                         | Recognition model                                            |
 | ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
+| Chinese and English ultra-lightweight PP-OCRv4 model（16.2M）     | ch_PP-OCRv4_xx          | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv4/chinese/ch_PP-OCRv4_rec_train.tar) |
 | Chinese and English ultra-lightweight PP-OCRv3 model（16.2M）     | ch_PP-OCRv3_xx          | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/chinese/ch_PP-OCRv3_rec_train.tar) |
 | English ultra-lightweight PP-OCRv3 model（13.4M）     | en_PP-OCRv3_xx          | Mobile & Server | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_det_distill_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv3/english/en_PP-OCRv3_rec_train.tar) |
-| Chinese and English ultra-lightweight PP-OCRv2 model（11.6M） |  ch_PP-OCRv2_xx |Mobile & Server|[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_det_distill_train.tar)| [inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/PP-OCRv2/chinese/ch_PP-OCRv2_rec_train.tar)|
-| Chinese and English ultra-lightweight PP-OCR model (9.4M)       | ch_ppocr_mobile_v2.0_xx      | Mobile & server   |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_train.tar)|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_train.tar)      |
-| Chinese and English general PP-OCR model (143.4M)               | ch_ppocr_server_v2.0_xx      | Server            |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_det_train.tar)    |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_train.tar)    |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_train.tar)  |
-
 
 - For more model downloads (including multiple languages), please refer to [PP-OCR series model downloads](./doc/doc_en/models_list_en.md).
 - For a new language request, please refer to [Guideline for new language_requests](#language_requests).
 - For structural document analysis models, please refer to [PP-Structure models](./ppstructure/docs/models_list_en.md).
 
+<a name="tutorials"></a>
 ## 📖 Tutorials
 - [Environment Preparation](./doc/doc_en/environment_en.md)
 - [PP-OCR 🔥](./doc/doc_en/ppocr_introduction_en.md)

doc/doc_en/quickstart_en.md

@@ -120,9 +120,10 @@ If you do not use the provided test image, you can replace the following `--imag
   ```
 
 **Version**
-paddleocr uses the PP-OCRv3 model by default(`--ocr_version PP-OCRv3`). If you want to use other versions, you can set the parameter `--ocr_version`, the specific version description is as follows:
+paddleocr uses the PP-OCRv4 model by default(`--ocr_version PP-OCRv4`). If you want to use other versions, you can set the parameter `--ocr_version`, the specific version description is as follows:
 |  version name |  description |
 |    ---    |   ---   |
+| PP-OCRv4 | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
 | PP-OCRv3 | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
 | PP-OCRv2 | only supports Chinese and English detection and recognition, direction classifier, multilingual model is not updated |
 | PP-OCR   | support Chinese and English detection and recognition, direction classifier, support multilingual recognition |
@@ -266,4 +267,4 @@ for idx in range(len(result)):
 
 In this section, you have mastered the use of PaddleOCR whl package.
 
-PaddleOCR is a rich and practical OCR tool library that get through the whole process of data production, model training, compression, inference and deployment, please refer to the [tutorials](../../README.md#tutorials) to start the journey of PaddleOCR.
+PaddleX provides a high-quality ecological model of the paddle. It is a one-stop full-process high-efficiency development platform for training, pressing and pushing. Its mission is to help AI technology to be implemented quickly. The vision is to make everyone an AI Developer! Currently PP-OCRv4 has been launched on PaddleX, you can enter [General OCR](https://aistudio.baidu.com/aistudio/modelsdetail?modelId=286) to experience the whole process of model training, compression and inference deployment.