Merge pull request #2458 from tink2123/cherry-pick
cherry-pick en multi-doc
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**Recent Update**
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-2021.4.9 supports the detection and recognition of 80 languages
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-2021.4.9 supports **lightweight high-precision** English model detection and recognition
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- 2021.4.9 supports the detection and recognition of 80 languages
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- 2021.4.9 supports **lightweight high-precision** English model detection and recognition
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PaddleOCR aims to create a rich, leading, and practical OCR tool library, which not only provides
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Chinese and English models in general scenarios, but also provides models specifically trained
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@ -25,21 +25,21 @@ The multilingual models cover Latin, Arabic, Traditional Chinese, Korean, Japane
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This document will briefly introduce how to use the multilingual model.
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-[1 Installation](#Install)
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-[1.1 paddle installation](#paddleinstallation)
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-[1.2 paddleocr package installation](#paddleocr_package_install)
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- [1 Installation](#Install)
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- [1.1 paddle installation](#paddleinstallation)
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- [1.2 paddleocr package installation](#paddleocr_package_install)
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-[2 Quick Use](#Quick_Use)
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-[2.1 Command line operation](#Command_line_operation)
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-[2.1.1 Prediction of the whole image](#bash_detection+recognition)
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-[2.1.2 Recognition](#bash_Recognition)
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-[2.1.3 Detection](#bash_detection)
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-[2.2 python script running](#python_Script_running)
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-[2.2.1 Whole image prediction](#python_detection+recognition)
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-[2.2.2 Recognition](#python_Recognition)
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-[2.2.3 Detection](#python_detection)
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-[3 Custom Training](#Custom_Training)
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-[4 Supported languages and abbreviations](#language_abbreviations)
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- [2 Quick Use](#Quick_Use)
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- [2.1 Command line operation](#Command_line_operation)
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- [2.1.1 Prediction of the whole image](#bash_detection+recognition)
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- [2.1.2 Recognition](#bash_Recognition)
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- [2.1.3 Detection](#bash_detection)
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- [2.2 python script running](#python_Script_running)
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- [2.2.1 Whole image prediction](#python_detection+recognition)
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- [2.2.2 Recognition](#python_Recognition)
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- [2.2.3 Detection](#python_detection)
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- [3 Custom Training](#Custom_Training)
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- [4 Supported languages and abbreviations](#language_abbreviations)
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<a name="Install"></a>
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## 1 Installation
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paddleocr --image_dir doc/imgs/japan_2.jpg --lang=japan
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```
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs/japan_2.jpg)
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs/japan_2.jpg)
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The result is a list, each item contains a text box, text and recognition confidence
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```text
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paddleocr --image_dir doc/imgs_words/japan/1.jpg --det false --lang=japan
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```
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_words/japan/1.jpg)
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs_words/japan/1.jpg)
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The result is a tuple, which returns the recognition result and recognition confidence
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```
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Visualization of results:
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_results/korean.jpg)
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs_results/korean.jpg)
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* Recognition
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print(line)
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```
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_words/german/1.jpg)
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs_words/german/1.jpg)
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The result is a tuple, which only contains the recognition result and recognition confidence
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```
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Visualization of results:
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_results/whl/12_det.jpg)
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![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs_results/whl/12_det.jpg)
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ppocr also supports direction classification. For more usage methods, please refer to: [whl package instructions](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.0/doc/doc_ch/whl.md).
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