@@ -109,10 +129,10 @@ PP-OCR is a practical ultra-lightweight OCR system. It is mainly composed of thr
## Visualization [more](./doc/doc_en/visualization_en.md)
- Chinese OCR model
- English OCR model
@@ -123,16 +143,27 @@ PP-OCR is a practical ultra-lightweight OCR system. It is mainly composed of thr
- Multilingual OCR model
-
-## Community
-Scan the QR code below with your Wechat and completing the questionnaire, you can access to official technical exchange group.
-
-
-
+
+## Guideline for new language requests
+
+If you want to request a new language support, a PR with 2 following files are needed：
+
+1. In folder [ppocr/utils/dict](https://github.com/PaddlePaddle/PaddleOCR/tree/develop/ppocr/utils/dict),
+it is necessary to submit the dict text to this path and name it with `{language}_dict.txt` that contains a list of all characters. Please see the format example from other files in that folder.
+
+2. In folder [ppocr/utils/corpus](https://github.com/PaddlePaddle/PaddleOCR/tree/develop/ppocr/utils/corpus),
+it is necessary to submit the corpus to this path and name it with `{language}_corpus.txt` that contains a list of words in your language.
+Maybe, 50000 words per language is necessary at least.
+Of course, the more, the better.
+
+If your language has unique elements, please tell me in advance within any way, such as useful links, wikipedia and so on.
+
+More details, please refer to [Multilingual OCR Development Plan](https://github.com/PaddlePaddle/PaddleOCR/issues/1048).
+
## License
@@ -149,3 +180,7 @@ We welcome all the contributions to PaddleOCR and appreciate for your feedback v
- Thanks [authorfu](https://github.com/authorfu) for contributing Android demo and [xiadeye](https://github.com/xiadeye) contributing iOS demo, respectively.
- Thanks [BeyondYourself](https://github.com/BeyondYourself) for contributing many great suggestions and simplifying part of the code style.
- Thanks [tangmq](https://gitee.com/tangmq) for contributing Dockerized deployment services to PaddleOCR and supporting the rapid release of callable Restful API services.
+- Thanks [lijinhan](https://github.com/lijinhan) for contributing a new way, i.e., java SpringBoot, to achieve the request for the Hubserving deployment.
+- Thanks [Mejans](https://github.com/Mejans) for contributing the Occitan corpus and character set.
+- Thanks [LKKlein](https://github.com/LKKlein) for contributing a new deploying package with the Golang program language.
+- Thanks [Evezerest](https://github.com/Evezerest), [ninetailskim](https://github.com/ninetailskim), [edencfc](https://github.com/edencfc), [BeyondYourself](https://github.com/BeyondYourself) and [1084667371](https://github.com/1084667371) for contributing a new data annotation tool, i.e., PPOCRLabel。
diff --git a/README_en.md b/README_en.md
deleted file mode 100644
index 1517734c847dd580ad86b17ddf6b093157953d06..0000000000000000000000000000000000000000
--- a/README_en.md
+++ /dev/null
@@ -1,186 +0,0 @@
-English | [简体中文](README_ch.md)
-
-## Introduction
-PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and apply them into practice.
-
-**Recent updates**
-- 2020.11.25 Update a new data annotation tool, i.e., [PPOCRLabel](./PPOCRLabel/README_en.md), which is helpful to improve the labeling efficiency. Moreover, the labeling results can be used in training of the PP-OCR system directly.
-- 2020.9.22 Update the PP-OCR technical article, https://arxiv.org/abs/2009.09941
-- 2020.9.19 Update the ultra lightweight compressed ppocr_mobile_slim series models, the overall model size is 3.5M (see [PP-OCR Pipeline](#PP-OCR-Pipeline)), suitable for mobile deployment. [Model Downloads](#Supported-Chinese-model-list)
-- 2020.9.17 Update the ultra lightweight ppocr_mobile series and general ppocr_server series Chinese and English ocr models, which are comparable to commercial effects. [Model Downloads](#Supported-Chinese-model-list)
-- 2020.9.17 update [English recognition model](./doc/doc_en/models_list_en.md#english-recognition-model) and [Multilingual recognition model](doc/doc_en/models_list_en.md#english-recognition-model), `English`, `Chinese`, `German`, `French`, `Japanese` and `Korean` have been supported. Models for more languages will continue to be updated.
-- 2020.8.24 Support the use of PaddleOCR through whl package installation，please refer [PaddleOCR Package](./doc/doc_en/whl_en.md)
-- 2020.8.21 Update the replay and PPT of the live lesson at Bilibili on August 18, lesson 2, easy to learn and use OCR tool spree. [Get Address](https://aistudio.baidu.com/aistudio/education/group/info/1519)
-- [more](./doc/doc_en/update_en.md)
-
-## Features
-- PPOCR series of high-quality pre-trained models, comparable to commercial effects
- - Ultra lightweight ppocr_mobile series models: detection (2.6M) + direction classifier (0.9M) + recognition (4.6M) = 8.1M
- - General ppocr_server series models: detection (47.2M) + direction classifier (0.9M) + recognition (107M) = 155.1M
- - Ultra lightweight compression ppocr_mobile_slim series models: detection (1.4M) + direction classifier (0.5M) + recognition (1.6M) = 3.5M
-- Support Chinese, English, and digit recognition, vertical text recognition, and long text recognition
-- Support multi-language recognition: Korean, Japanese, German, French
-- Support user-defined training, provides rich predictive inference deployment solutions
-- Support PIP installation, easy to use
-- Support Linux, Windows, MacOS and other systems
-
-## Visualization
-
-
-
-
-
-
-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)
-
-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)
-
- Also, you can scan the QR code below to install the App (**Android support only**)
-
-
-
-
-
-- [**OCR Quick Start**](./doc/doc_en/quickstart_en.md)
-
-
-
-## PP-OCR 2.0 series model list（Update on Sep 17）
-
-| Model introduction | Model name | Recommended scene | Detection model | Direction classifier | Recognition model |
-| ------------------------------------------------------------ | ---------------------------- | ----------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
-| Chinese and English ultra-lightweight OCR model (8.1M) | 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) / [pre-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) / [pre-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) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_pre.tar) |
-| Chinese and English general OCR model (143M) | 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) / [pre-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) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_traingit.tar) |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_server_v2.0_rec_pre.tar) |
-
-
-For more model downloads (including multiple languages), please refer to [PP-OCR v2.0 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).
-
-## Tutorials
-- [Installation](./doc/doc_en/installation_en.md)
-- [Quick Start](./doc/doc_en/quickstart_en.md)
-- [Code Structure](./doc/doc_en/tree_en.md)
-- Algorithm Introduction
- - [Text Detection Algorithm](./doc/doc_en/algorithm_overview_en.md)
- - [Text Recognition Algorithm](./doc/doc_en/algorithm_overview_en.md)
- - [PP-OCR Pipeline](#PP-OCR-Pipeline)
-- Model Training/Evaluation
- - [Text Detection](./doc/doc_en/detection_en.md)
- - [Text Recognition](./doc/doc_en/recognition_en.md)
- - [Direction Classification](./doc/doc_en/angle_class_en.md)
- - [Yml Configuration](./doc/doc_en/config_en.md)
-- Inference and Deployment
- - [Quick Inference Based on PIP](./doc/doc_en/whl_en.md)
- - [Python Inference](./doc/doc_en/inference_en.md)
- - [C++ Inference](./deploy/cpp_infer/readme_en.md)
- - [Serving](./deploy/hubserving/readme_en.md)
- - [Mobile](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme_en.md)
- - [Model Quantization](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/quantization/README_en.md)
- - [Model Compression](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/slim/prune/README_en.md)
- - [Benchmark](./doc/doc_en/benchmark_en.md)
-- Data Annotation and Synthesis
- - [Semi-automatic Annotation Tool](./PPOCRLabel/README_en.md)
- - [Data Annotation Tools](./doc/doc_en/data_annotation_en.md)
- - [Data Synthesis Tools](./doc/doc_en/data_synthesis_en.md)
-- Datasets
- - [General OCR Datasets(Chinese/English)](./doc/doc_en/datasets_en.md)
- - [HandWritten_OCR_Datasets(Chinese)](./doc/doc_en/handwritten_datasets_en.md)
- - [Various OCR Datasets(multilingual)](./doc/doc_en/vertical_and_multilingual_datasets_en.md)
-- [Visualization](#Visualization)
-- [New language requests](#language_requests)
-- [FAQ](./doc/doc_en/FAQ_en.md)
-- [Community](#Community)
-- [References](./doc/doc_en/reference_en.md)
-- [License](#LICENSE)
-- [Contribution](#CONTRIBUTION)
-
-***Note: The dynamic graphs branch is still under development.
-Currently, only dynamic graph training, python-end prediction, and C++ prediction are supported.
-If you need mobile-end deployment cases or quantitative demo,
-please use the static graph branch.***
-
-
-
-
-## PP-OCR Pipeline
-
-
-
-
-
-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).
-
-
-
-## Visualization [more](./doc/doc_en/visualization_en.md)
-- Chinese OCR model
-
-
-- English OCR model
-
-
-
-
-- Multilingual OCR model
-
-
-
-
-
-
-
-## Guideline for new language requests
-
-If you want to request a new language support, a PR with 2 following files are needed：
-
-1. In folder [ppocr/utils/dict](https://github.com/PaddlePaddle/PaddleOCR/tree/develop/ppocr/utils/dict),
-it is necessary to submit the dict text to this path and name it with `{language}_dict.txt` that contains a list of all characters. Please see the format example from other files in that folder.
-
-2. In folder [ppocr/utils/corpus](https://github.com/PaddlePaddle/PaddleOCR/tree/develop/ppocr/utils/corpus),
-it is necessary to submit the corpus to this path and name it with `{language}_corpus.txt` that contains a list of words in your language.
-Maybe, 50000 words per language is necessary at least.
-Of course, the more, the better.
-
-If your language has unique elements, please tell me in advance within any way, such as useful links, wikipedia and so on.
-
-More details, please refer to [Multilingual OCR Development Plan](https://github.com/PaddlePaddle/PaddleOCR/issues/1048).
-
-
-
-## License
-This project is released under
Apache 2.0 license
-
-
-## Contribution
-We welcome all the contributions to PaddleOCR and appreciate for your feedback very much.
-
-- Many thanks to [Khanh Tran](https://github.com/xxxpsyduck) and [Karl Horky](https://github.com/karlhorky) for contributing and revising the English documentation.
-- Many thanks to [zhangxin](https://github.com/ZhangXinNan) for contributing the new visualize function、add .gitgnore and discard set PYTHONPATH manually.
-- Many thanks to [lyl120117](https://github.com/lyl120117) for contributing the code for printing the network structure.
-- Thanks [xiangyubo](https://github.com/xiangyubo) for contributing the handwritten Chinese OCR datasets.
-- Thanks [authorfu](https://github.com/authorfu) for contributing Android demo and [xiadeye](https://github.com/xiadeye) contributing iOS demo, respectively.
-- Thanks [BeyondYourself](https://github.com/BeyondYourself) for contributing many great suggestions and simplifying part of the code style.
-- Thanks [tangmq](https://gitee.com/tangmq) for contributing Dockerized deployment services to PaddleOCR and supporting the rapid release of callable Restful API services.
-- Thanks [lijinhan](https://github.com/lijinhan) for contributing a new way, i.e., java SpringBoot, to achieve the request for the Hubserving deployment.
-- Thanks [Mejans](https://github.com/Mejans) for contributing the Occitan corpus and character set.
-- Thanks [LKKlein](https://github.com/LKKlein) for contributing a new deploying package with the Golang program language.
-- Thanks [Evezerest](https://github.com/Evezerest), [ninetailskim](https://github.com/ninetailskim), [edencfc](https://github.com/edencfc), [BeyondYourself](https://github.com/BeyondYourself) and [1084667371](https://github.com/1084667371) for contributing a new data annotation tool, i.e., PPOCRLabel。
- 
- 
- 
+ 
+ 
+ 
+ 
+