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239 lines
8.0 KiB
Markdown
239 lines
8.0 KiB
Markdown
# Multi-language model
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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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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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in English scenarios. And multilingual models covering [80 languages](#language_abbreviations).
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Among them, the English model supports the detection and recognition of uppercase and lowercase
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letters and common punctuation, and the recognition of space characters is optimized:
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<div align="center">
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<img src="../imgs_results/multi_lang/img_12.jpg" width="900" height="300">
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</div>
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The multilingual models cover Latin, Arabic, Traditional Chinese, Korean, Japanese, etc.:
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<div align="center">
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<img src="../imgs_results/multi_lang/japan_2.jpg" width="600" height="300">
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<img src="../imgs_results/multi_lang/french_0.jpg" width="300" height="300">
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<img src="../imgs_results/multi_lang/korean_0.jpg" width="500" height="300">
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<img src="../imgs_results/multi_lang/arabic_0.jpg" width="300" height="300">
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</div>
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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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- [2 Quick Use](#Quick_Use)
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- [2.1 Command line operation](#Command_line_operation)
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- [2.2 python script running](#python_Script_running)
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- [3 Custom Training](#Custom_Training)
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- [4 Inference and Deployment](#inference)
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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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<a name="paddle_install"></a>
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### 1.1 paddle installation
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```
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# cpu
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pip install paddlepaddle
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# gpu
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pip install paddlepaddle-gpu
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```
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<a name="paddleocr_package_install"></a>
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### 1.2 paddleocr package installation
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pip install
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```
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pip install "paddleocr>=2.0.6" # 2.0.6 version is recommended
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```
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Build and install locally
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```
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python3 setup.py bdist_wheel
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pip3 install dist/paddleocr-x.x.x-py3-none-any.whl # x.x.x is the version number of paddleocr
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```
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<a name="Quick_use"></a>
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## 2 Quick use
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<a name="Command_line_operation"></a>
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### 2.1 Command line operation
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View help information
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```
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paddleocr -h
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```
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* Whole image prediction (detection + recognition)
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Paddleocr currently supports 80 languages, which can be switched by modifying the --lang parameter.
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The specific supported [language] (#language_abbreviations) can be viewed in the table.
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``` bash
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paddleocr --image_dir doc/imgs_en/254.jpg --lang=en
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```
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<div align="center">
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<img src="../imgs_en/254.jpg" width="300" height="600">
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<img src="../imgs_results/multi_lang/img_02.jpg" width="600" height="600">
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</div>
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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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[('PHO CAPITAL', 0.95723116), [[66.0, 50.0], [327.0, 44.0], [327.0, 76.0], [67.0, 82.0]]]
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[('107 State Street', 0.96311164), [[72.0, 90.0], [451.0, 84.0], [452.0, 116.0], [73.0, 121.0]]]
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[('Montpelier Vermont', 0.97389287), [[69.0, 132.0], [501.0, 126.0], [501.0, 158.0], [70.0, 164.0]]]
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[('8022256183', 0.99810505), [[71.0, 175.0], [363.0, 170.0], [364.0, 202.0], [72.0, 207.0]]]
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[('REG 07-24-201706:59 PM', 0.93537045), [[73.0, 299.0], [653.0, 281.0], [654.0, 318.0], [74.0, 336.0]]]
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[('045555', 0.99346405), [[509.0, 331.0], [651.0, 325.0], [652.0, 356.0], [511.0, 362.0]]]
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[('CT1', 0.9988654), [[535.0, 367.0], [654.0, 367.0], [654.0, 406.0], [535.0, 406.0]]]
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......
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```
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* Recognition
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```bash
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paddleocr --image_dir doc/imgs_words_en/word_308.png --det false --lang=en
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```
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The result is a tuple, which returns the recognition result and recognition confidence
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```text
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(0.99879867, 'LITTLE')
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```
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* Detection
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```
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paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --rec false
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```
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The result is a list, each item contains only text boxes
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```
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[[26.0, 457.0], [137.0, 457.0], [137.0, 477.0], [26.0, 477.0]]
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[[25.0, 425.0], [372.0, 425.0], [372.0, 448.0], [25.0, 448.0]]
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[[128.0, 397.0], [273.0, 397.0], [273.0, 414.0], [128.0, 414.0]]
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......
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```
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<a name="python_script_running"></a>
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### 2.2 python script running
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ppocr also supports running in python scripts for easy embedding in your own code:
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* Whole image prediction (detection + recognition)
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```
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from paddleocr import PaddleOCR, draw_ocr
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# Also switch the language by modifying the lang parameter
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ocr = PaddleOCR(lang="korean") # The model file will be downloaded automatically when executed for the first time
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img_path ='doc/imgs/korean_1.jpg'
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result = ocr.ocr(img_path)
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# Recognition and detection can be performed separately through parameter control
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# result = ocr.ocr(img_path, det=False) Only perform recognition
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# result = ocr.ocr(img_path, rec=False) Only perform detection
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# Print detection frame and recognition result
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for line in result:
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print(line)
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# Visualization
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from PIL import Image
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image = Image.open(img_path).convert('RGB')
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boxes = [line[0] for line in result]
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txts = [line[1][0] for line in result]
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scores = [line[1][1] for line in result]
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im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/fonts/korean.ttf')
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im_show = Image.fromarray(im_show)
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im_show.save('result.jpg')
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```
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Visualization of results:
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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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<a name="Custom_training"></a>
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## 3 Custom training
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ppocr supports using your own data for custom training or finetune, where the recognition model can refer to [French configuration file](../../configs/rec/multi_language/rec_french_lite_train.yml)
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Modify the training data path, dictionary and other parameters.
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For specific data preparation and training process, please refer to: [Text Detection](../doc_en/detection_en.md), [Text Recognition](../doc_en/recognition_en.md), more functions such as predictive deployment,
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For functions such as data annotation, you can read the complete [Document Tutorial](../../README.md).
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<a name="inference"></a>
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## 4 Inference and Deployment
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In addition to installing the whl package for quick forecasting,
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ppocr also provides a variety of forecasting deployment methods.
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If necessary, you can read related documents:
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- [Python Inference](./inference_en.md)
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- [C++ Inference](../../deploy/cpp_infer/readme_en.md)
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- [Serving](../../deploy/hubserving/readme_en.md)
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- [Mobile](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme_en.md)
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- [Benchmark](./benchmark_en.md)
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<a name="language_abbreviations"></a>
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## 5 Support languages and abbreviations
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| Language | Abbreviation | | Language | Abbreviation |
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| --- | --- | --- | --- | --- |
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|Chinese & English|ch| |Arabic|ar|
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|English|en| |Hindi|hi|
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|French|fr| |Uyghur|ug|
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|German|german| |Persian|fa|
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|Japan|japan| |Urdu|ur|
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|Korean|korean| | Serbian(latin) |rs_latin|
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|Chinese Traditional |chinese_cht| |Occitan |oc|
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| Italian |it| |Marathi|mr|
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|Spanish |es| |Nepali|ne|
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| Portuguese|pt| |Serbian(cyrillic)|rs_cyrillic|
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|Russia|ru||Bulgarian |bg|
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|Ukranian|uk| |Estonian |et|
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|Belarusian|be| |Irish |ga|
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|Telugu |te| |Croatian |hr|
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|Saudi Arabia|sa| |Hungarian |hu|
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|Tamil |ta| |Indonesian|id|
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|Afrikaans |af| |Icelandic|is|
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|Azerbaijani |az||Kurdish|ku|
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|Bosnian|bs| |Lithuanian |lt|
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|Czech|cs| |Latvian |lv|
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|Welsh |cy| |Maori|mi|
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|Danish|da| |Malay|ms|
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|Maltese |mt| |Adyghe |ady|
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|Dutch |nl| |Kabardian |kbd|
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|Norwegian |no| |Avar |ava|
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|Polish |pl| |Dargwa |dar|
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|Romanian |ro| |Ingush |inh|
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|Slovak |sk| |Lak |lbe|
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|Slovenian |sl| |Lezghian |lez|
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|Albanian |sq| |Tabassaran |tab|
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|Swedish |sv| |Bihari |bh|
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|Swahili |sw| |Maithili |mai|
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|Tagalog |tl| |Angika |ang|
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|Turkish |tr| |Bhojpuri |bho|
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|Uzbek |uz| |Magahi |mah|
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|Vietnamese |vi| |Nagpur |sck|
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|Mongolian |mn| |Newari |new|
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|Abaza |abq| |Goan Konkani|gom|
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