From e99565c7f35d495c07db3b08a0d06c44facd76e9 Mon Sep 17 00:00:00 2001 From: LDOUBLEV Date: Tue, 15 Dec 2020 15:09:24 +0800 Subject: [PATCH] README_en.md to README.md --- README.md | 99 ++++++++++++++++++--------- README_en.md | 186 --------------------------------------------------- 2 files changed, 67 insertions(+), 218 deletions(-) delete mode 100644 README_en.md diff --git a/README.md b/README.md index 03bc26dd..1517734c 100644 --- a/README.md +++ b/README.md @@ -1,14 +1,15 @@ English | [简体中文](README_ch.md) ## Introduction -PaddleOCR aims to create rich, leading, and practical OCR tools that help users train better models and apply them into practice. +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 Pipline](#PP-OCR-Pipline)), suitable for mobile deployment. [Model Downloads](#Supported-Chinese-model-list) +- 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), `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，pelease refer [PaddleOCR Package](./doc/doc_en/whl_en.md) +- 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) @@ -32,6 +33,15 @@ 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) @@ -48,55 +58,65 @@ Mobile DEMO experience (based on EasyEdge and Paddle-Lite, supports iOS and Andr -## PP-OCR 1.1 series model list（Update on Sep 17） +## 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_v1.1_xx | Mobile & server | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/det/ch_ppocr_mobile_v1.1_det_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/rec/ch_ppocr_mobile_v1.1_rec_pre.tar) | -| Chinese and English general OCR model (155.1M) | ch_ppocr_server_v1.1_xx | Server | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/server/det/ch_ppocr_server_v1.1_det_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/server/det/ch_ppocr_server_v1.1_det_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_train.tar) | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_infer.tar) / [pre-trained model](https://paddleocr.bj.bcebos.com/20-09-22/server/rec/ch_ppocr_server_v1.1_rec_pre.tar) | -| Chinese and English ultra-lightweight compressed OCR model (3.5M) | ch_ppocr_mobile_slim_v1.1_xx | Mobile | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/det/ch_ppocr_mobile_v1.1_det_prune_infer.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_det_prune_opt.nb) | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/cls/ch_ppocr_mobile_v1.1_cls_quant_infer.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_cls_quant_opt.nb) | [inference model](https://paddleocr.bj.bcebos.com/20-09-22/mobile-slim/rec/ch_ppocr_mobile_v1.1_rec_quant_infer.tar) / [slim model](https://paddleocr.bj.bcebos.com/20-09-22/mobile/lite/ch_ppocr_mobile_v1.1_rec_quant_opt.nb) | +| 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 v1.1 series model downloads](./doc/doc_en/models_list_en.md) +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 +- Algorithm Introduction - [Text Detection Algorithm](./doc/doc_en/algorithm_overview_en.md) - [Text Recognition Algorithm](./doc/doc_en/algorithm_overview_en.md) - - [PP-OCR Pipline](#PP-OCR-Pipline) -- Model training/evaluation + - [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) + - [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](./deploy/lite/readme_en.md) - - [Model Quantization](./deploy/slim/quantization/README_en.md) - - [Model Compression](./deploy/slim/prune/README_en.md) - - [Benchmark](./doc/doc_en/benchmark_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) - - [Data Annotation Tools](./doc/doc_en/data_annotation_en.md) - - [Data Synthesis Tools](./doc/doc_en/data_synthesis_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 Pipline + + + +## PP-OCR Pipeline
@@ -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 1517734c..00000000 --- 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。 -- GitLab