fix mult-lang doc for dygraph
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@ -11,7 +11,7 @@ PaddleOCR 旨在打造一套丰富、领先、且实用的OCR工具库，不仅
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其中英文模型支持，大小写字母和常见标点的检测识别，并优化了空格字符的识别：
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<div align="center">
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<img src="../imgs_results/multi_lang/en_1.jpg" width="400" height="600">
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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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小语种模型覆盖了拉丁语系、阿拉伯语系、中文繁体、韩语、日语等等：
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@ -19,6 +19,8 @@ PaddleOCR 旨在打造一套丰富、领先、且实用的OCR工具库，不仅
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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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@ -30,14 +32,9 @@ PaddleOCR 旨在打造一套丰富、领先、且实用的OCR工具库，不仅
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- [2 快速使用](#快速使用)
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- [2.1 命令行运行](#命令行运行)
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- [2.1.1 整图预测](#bash_检测+识别)
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- [2.1.2 识别预测](#bash_识别)
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- [2.1.3 检测预测](#bash_检测)
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- [2.2 python 脚本运行](#python_脚本运行)
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- [2.2.1 整图预测](#python_检测+识别)
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- [2.2.2 识别预测](#python_识别)
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- [2.2.3 检测预测](#python_检测)
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- [3 自定义训练](#自定义训练)
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- [4 预测部署](#预测部署)
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- [4 支持语种及缩写](#语种缩写)
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<a name="安装"></a>
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@ -50,7 +47,7 @@ PaddleOCR 旨在打造一套丰富、领先、且实用的OCR工具库，不仅
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pip install paddlepaddle
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# gpu
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pip instll paddlepaddle-gpu
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pip insatll paddlepaddle-gpu
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```
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<a name="paddleocr_package_安装"></a>
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@ -108,8 +105,6 @@ paddleocr --image_dir doc/imgs/japan_2.jpg --lang=japan
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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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结果是一个tuple，返回识别结果和识别置信度
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```text
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@ -145,6 +140,9 @@ from paddleocr import PaddleOCR, draw_ocr
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ocr = PaddleOCR(lang="korean") # 首次执行会自动下载模型文件
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img_path = 'doc/imgs/korean_1.jpg '
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result = ocr.ocr(img_path)
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# 可通过参数控制单独执行识别、检测
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# result = ocr.ocr(img_path, det=False) 只执行识别
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# result = ocr.ocr(img_path, rec=False) 只执行检测
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# 打印检测框和识别结果
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for line in result:
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print(line)
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@ -166,59 +164,7 @@ im_show.save('result.jpg')
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<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs_results/korean.jpg" width="800">
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</div>
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* 识别预测
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```
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from paddleocr import PaddleOCR
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ocr = PaddleOCR(lang="german")
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img_path = 'PaddleOCR/doc/imgs_words/german/1.jpg'
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result = ocr.ocr(img_path, det=False, cls=True)
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for line in result:
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print(line)
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```
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结果是一个tuple，只包含识别结果和识别置信度
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```
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('leider auch jetzt', 0.97538936)
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```
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* 检测预测
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```python
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from paddleocr import PaddleOCR, draw_ocr
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ocr = PaddleOCR() # need to run only once to download and load model into memory
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img_path = 'PaddleOCR/doc/imgs_en/img_12.jpg'
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result = ocr.ocr(img_path, rec=False)
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for line in result:
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print(line)
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# 显示结果
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from PIL import Image
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image = Image.open(img_path).convert('RGB')
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im_show = draw_ocr(image, result, txts=None, scores=None, font_path='/path/to/PaddleOCR/doc/fonts/simfang.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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结果是一个list，每个item只包含文本框
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```bash
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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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结果可视化 ：
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<div align="center">
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<img src="https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.1/doc/imgs_results/whl/12_det.jpg" width="800">
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</div>
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ppocr 还支持方向分类， 更多使用方式请参考：[whl包使用说明](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.0/doc/doc_ch/whl.md)。
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ppocr 还支持方向分类， 更多使用方式请参考：[whl包使用说明](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.0/doc/doc_ch/whl.md)
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<a name="自定义训练"></a>
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## 3 自定义训练
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@ -229,84 +175,58 @@ ppocr 支持使用自己的数据进行自定义训练或finetune, 其中识别
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具体数据准备、训练过程可参考：[文本检测](../doc_ch/detection.md)、[文本识别](../doc_ch/recognition.md)，更多功能如预测部署、
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数据标注等功能可以阅读完整的[文档教程](../../README_ch.md)。
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<a name="语种缩写"></a>
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## 4 支持语种及缩写
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<a name="预测部署"></a>
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## 4 预测部署
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| 语种 | 描述 | 缩写 |
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| --- | --- | --- |
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|中文|chinese and english|ch|
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|英文|english|en|
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|法文|french|fr|
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|德文|german|german|
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|日文|japan|japan|
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|韩文|korean|korean|
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|中文繁体|chinese traditional |chinese_cht|
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|意大利文| Italian |it|
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|西班牙文|Spanish |es|
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|葡萄牙文| Portuguese|pt|
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|俄罗斯文|Russia|ru|
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|阿拉伯文|Arabic|ar|
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|印地文|Hindi|hi|
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|维吾尔|Uyghur|ug|
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|波斯文|Persian|fa|
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|乌尔都文|Urdu|ur|
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|塞尔维亚文（latin)| Serbian(latin) |rs_latin|
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|欧西坦文|Occitan |oc|
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|马拉地文|Marathi|mr|
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|尼泊尔文|Nepali|ne|
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|塞尔维亚文（cyrillic)|Serbian(cyrillic)|rs_cyrillic|
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|保加利亚文|Bulgarian |bg|
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|乌克兰文|Ukranian|uk|
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|白俄罗斯文|Belarusian|be|
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|泰卢固文|Telugu |te|
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|泰米尔文|Tamil |ta|
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|南非荷兰文 |Afrikaans |af|
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|阿塞拜疆文 |Azerbaijani |az|
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|波斯尼亚文|Bosnian|bs|
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|捷克文|Czech|cs|
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|威尔士文 |Welsh |cy|
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|丹麦文 |Danish|da|
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|爱沙尼亚文 |Estonian |et|
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|爱尔兰文 |Irish |ga|
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|克罗地亚文|Croatian |hr|
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|匈牙利文|Hungarian |hu|
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|印尼文|Indonesian|id|
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|冰岛文 |Icelandic|is|
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|库尔德文 |Kurdish|ku|
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|立陶宛文|Lithuanian |lt|
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|拉脱维亚文 |Latvian |lv|
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|毛利文|Maori|mi|
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|马来文 |Malay|ms|
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|马耳他文 |Maltese |mt|
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|荷兰文 |Dutch |nl|
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|挪威文 |Norwegian |no|
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|波兰文|Polish |pl|
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| 罗马尼亚文|Romanian |ro|
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| 斯洛伐克文|Slovak |sk|
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| 斯洛文尼亚文|Slovenian |sl|
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| 阿尔巴尼亚文|Albanian |sq|
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| 瑞典文|Swedish |sv|
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| 西瓦希里文|Swahili |sw|
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| 塔加洛文|Tagalog |tl|
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| 土耳其文|Turkish |tr|
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| 乌兹别克文|Uzbek |uz|
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| 越南文|Vietnamese |vi|
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| 蒙古文|Mongolian |mn|
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| 阿巴扎文|Abaza |abq|
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| 阿迪赫文|Adyghe |ady|
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| 卡巴丹文|Kabardian |kbd|
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| 阿瓦尔文|Avar |ava|
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| 达尔瓦文|Dargwa |dar|
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| 因古什文|Ingush |inh|
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| 拉克文|Lak |lbe|
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| 莱兹甘文|Lezghian |lez|
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|塔巴萨兰文 |Tabassaran |tab|
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| 比尔哈文|Bihari |bh|
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| 迈蒂利文|Maithili |mai|
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| 昂加文|Angika |ang|
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| 孟加拉文|Bhojpuri |bho|
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| 摩揭陀文 |Magahi |mah|
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| 那格浦尔文|Nagpur |sck|
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| 尼瓦尔文|Newari |new|
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| 保加利亚文 |Goan Konkani|gom|
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| 沙特阿拉伯文|Saudi Arabia|sa|
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除了安装whl包进行快速预测，ppocr 也提供了多种预测部署方式，如有需求可阅读相关文档：
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- [基于Python脚本预测引擎推理](./inference.md)
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- [基于C++预测引擎推理](../../deploy/cpp_infer/readme.md)
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- [服务化部署](../../deploy/hubserving/readme.md)
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- [端侧部署](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/deploy/lite/readme.md)
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- [Benchmark](./benchmark.md)
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<a name="语种缩写"></a>
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## 5 支持语种及缩写
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| 语种 | 描述 | 缩写 | | 语种 | 描述 | 缩写 |
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| --- | --- | --- | ---|--- | --- | --- |
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|中文|chinese and english|ch| |保加利亚文|Bulgarian |bg|
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|英文|english|en| |乌克兰文|Ukranian|uk|
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|法文|french|fr| |白俄罗斯文|Belarusian|be|
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|德文|german|german| |泰卢固文|Telugu |te|
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|日文|japan|japan| | |阿巴扎文|Abaza |abq|
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|韩文|korean|korean| |泰米尔文|Tamil |ta|
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|中文繁体|chinese traditional |ch_tra| |南非荷兰文 |Afrikaans |af|
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|意大利文| Italian |it| |阿塞拜疆文 |Azerbaijani |az|
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|西班牙文|Spanish |es| |波斯尼亚文|Bosnian|bs|
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|葡萄牙文| Portuguese|pt| |捷克文|Czech|cs|
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|俄罗斯文|Russia|ru| |威尔士文 |Welsh |cy|
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|阿拉伯文|Arabic|ar| |丹麦文 |Danish|da|
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|印地文|Hindi|hi| |爱沙尼亚文 |Estonian |et|
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|维吾尔|Uyghur|ug| |爱尔兰文 |Irish |ga|
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|波斯文|Persian|fa| |克罗地亚文|Croatian |hr|
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|乌尔都文|Urdu|ur| |匈牙利文|Hungarian |hu|
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|塞尔维亚文（latin)| Serbian(latin) |rs_latin| |印尼文|Indonesian|id|
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|欧西坦文|Occitan |oc| |冰岛文 |Icelandic|is|
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|马拉地文|Marathi|mr| |库尔德文 |Kurdish|ku|
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|尼泊尔文|Nepali|ne| |立陶宛文|Lithuanian |lt|
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|塞尔维亚文（cyrillic)|Serbian(cyrillic)|rs_cyrillic| |拉脱维亚文 |Latvian |lv|
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|毛利文|Maori|mi| | 达尔瓦文|Dargwa |dar|
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|马来文 |Malay|ms| | 因古什文|Ingush |inh|
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|马耳他文 |Maltese |mt| | 拉克文|Lak |lbe|
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|荷兰文 |Dutch |nl| | 莱兹甘文|Lezghian |lez|
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|挪威文 |Norwegian |no| |塔巴萨兰文 |Tabassaran |tab|
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|波兰文|Polish |pl| | 比尔哈文|Bihari |bh|
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| 罗马尼亚文|Romanian |ro| | 迈蒂利文|Maithili |mai|
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| 斯洛伐克文|Slovak |sk| | 昂加文|Angika |ang|
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| 斯洛文尼亚文|Slovenian |sl| | 孟加拉文|Bhojpuri |bho|
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| 阿尔巴尼亚文|Albanian |sq| | 摩揭陀文 |Magahi |mah|
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| 瑞典文|Swedish |sv| | 那格浦尔文|Nagpur |sck|
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| 西瓦希里文|Swahili |sw| | 尼瓦尔文|Newari |new|
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| 塔加洛文|Tagalog |tl| | 保加利亚文 |Goan Konkani|gom|
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| 土耳其文|Turkish |tr| | 沙特阿拉伯文|Saudi Arabia|sa|
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| 乌兹别克文|Uzbek |uz| | 阿瓦尔文|Avar |ava|
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| 越南文|Vietnamese |vi| | 阿瓦尔文|Avar |ava|
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| 蒙古文|Mongolian |mn| | 阿迪赫文|Adyghe |ady|
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@ -13,7 +13,7 @@ Among them, the English model supports the detection and recognition of uppercas
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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/en_1.jpg" width="400" height="600">
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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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@ -21,6 +21,8 @@ The multilingual models cover Latin, Arabic, Traditional Chinese, Korean, Japane
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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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@ -31,14 +33,9 @@ This document will briefly introduce how to use the multilingual model.
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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 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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@ -51,7 +48,7 @@ This document will briefly introduce how to use the multilingual model.
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pip install paddlepaddle
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# gpu
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pip instll paddlepaddle-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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@ -89,7 +86,7 @@ The specific supported [language] (#language_abbreviations) can be viewed in the
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paddleocr --image_dir doc/imgs/japan_2.jpg --lang=japan
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```
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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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@ -106,7 +103,7 @@ The result is a list, each item contains a text box, text and recognition confid
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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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||||
|
||||
|
||||
|
||||
The result is a tuple, which returns the recognition result and recognition confidence
|
||||
|
||||
|
|
@ -143,6 +140,9 @@ from paddleocr import PaddleOCR, draw_ocr
|
|||
ocr = PaddleOCR(lang="korean") # The model file will be downloaded automatically when executed for the first time
|
||||
img_path ='doc/imgs/korean_1.jpg'
|
||||
result = ocr.ocr(img_path)
|
||||
# Recognition and detection can be performed separately through parameter control
|
||||
# result = ocr.ocr(img_path, det=False) Only perform recognition
|
||||
# result = ocr.ocr(img_path, rec=False) Only perform detection
|
||||
# Print detection frame and recognition result
|
||||
for line in result:
|
||||
print(line)
|
||||
|
|
@ -162,54 +162,6 @@ Visualization of results:
|
|||
|
||||
|
||||
|
||||
* Recognition
|
||||
|
||||
```
|
||||
from paddleocr import PaddleOCR
|
||||
ocr = PaddleOCR(lang="german")
|
||||
img_path ='PaddleOCR/doc/imgs_words/german/1.jpg'
|
||||
result = ocr.ocr(img_path, det=False, cls=True)
|
||||
for line in result:
|
||||
print(line)
|
||||
```
|
||||
|
||||
|
||||
|
||||
The result is a tuple, which only contains the recognition result and recognition confidence
|
||||
|
||||
```
|
||||
('leider auch jetzt', 0.97538936)
|
||||
```
|
||||
|
||||
* Detection
|
||||
|
||||
```python
|
||||
from paddleocr import PaddleOCR, draw_ocr
|
||||
ocr = PaddleOCR() # need to run only once to download and load model into memory
|
||||
img_path ='PaddleOCR/doc/imgs_en/img_12.jpg'
|
||||
result = ocr.ocr(img_path, rec=False)
|
||||
for line in result:
|
||||
print(line)
|
||||
|
||||
# show result
|
||||
from PIL import Image
|
||||
|
||||
image = Image.open(img_path).convert('RGB')
|
||||
im_show = draw_ocr(image, result, txts=None, scores=None, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
|
||||
im_show = Image.fromarray(im_show)
|
||||
im_show.save('result.jpg')
|
||||
```
|
||||
The result is a list, each item contains only text boxes
|
||||
```bash
|
||||
[[26.0, 457.0], [137.0, 457.0], [137.0, 477.0], [26.0, 477.0]]
|
||||
[[25.0, 425.0], [372.0, 425.0], [372.0, 448.0], [25.0, 448.0]]
|
||||
[[128.0, 397.0], [273.0, 397.0], [273.0, 414.0], [128.0, 414.0]]
|
||||
......
|
||||
```
|
||||
|
||||
Visualization of results:
|
||||
|
||||
|
||||
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).
|
||||
|
||||
<a name="Custom_training"></a>
|
||||
|
|
@ -221,84 +173,61 @@ Modify the training data path, dictionary and other parameters.
|
|||
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,
|
||||
For functions such as data annotation, you can read the complete [Document Tutorial](../../README.md).
|
||||
|
||||
<a name="language_abbreviation"></a>
|
||||
## 4 Support languages and abbreviations
|
||||
|
||||
| Language | Abbreviation |
|
||||
| --- | --- |
|
||||
|chinese and english|ch|
|
||||
|english|en|
|
||||
|french|fr|
|
||||
|german|german|
|
||||
|japan|japan|
|
||||
|korean|korean|
|
||||
|chinese traditional |chinese_cht|
|
||||
| Italian |it|
|
||||
|Spanish |es|
|
||||
| Portuguese|pt|
|
||||
|Russia|ru|
|
||||
|Arabic|ar|
|
||||
|Hindi|hi|
|
||||
|Uyghur|ug|
|
||||
|Persian|fa|
|
||||
|Urdu|ur|
|
||||
| Serbian(latin) |rs_latin|
|
||||
|Occitan |oc|
|
||||
|Marathi|mr|
|
||||
|Nepali|ne|
|
||||
|Serbian(cyrillic)|rs_cyrillic|
|
||||
|Bulgarian |bg|
|
||||
|Ukranian|uk|
|
||||
|Belarusian|be|
|
||||
|Telugu |te|
|
||||
|Tamil |ta|
|
||||
|Afrikaans |af|
|
||||
|Azerbaijani |az|
|
||||
|Bosnian|bs|
|
||||
|Czech|cs|
|
||||
|Welsh |cy|
|
||||
|Danish|da|
|
||||
|Estonian |et|
|
||||
|Irish |ga|
|
||||
|Croatian |hr|
|
||||
|Hungarian |hu|
|
||||
|Indonesian|id|
|
||||
|Icelandic|is|
|
||||
|Kurdish|ku|
|
||||
|Lithuanian |lt|
|
||||
|Latvian |lv|
|
||||
|Maori|mi|
|
||||
|Malay|ms|
|
||||
|Maltese |mt|
|
||||
|Dutch |nl|
|
||||
|Norwegian |no|
|
||||
|Polish |pl|
|
||||
|Romanian |ro|
|
||||
|Slovak |sk|
|
||||
|Slovenian |sl|
|
||||
|Albanian |sq|
|
||||
|Swedish |sv|
|
||||
|Swahili |sw|
|
||||
|Tagalog |tl|
|
||||
|Turkish |tr|
|
||||
|Uzbek |uz|
|
||||
|Vietnamese |vi|
|
||||
|Mongolian |mn|
|
||||
|Abaza |abq|
|
||||
|Adyghe |ady|
|
||||
|Kabardian |kbd|
|
||||
|Avar |ava|
|
||||
|Dargwa |dar|
|
||||
|Ingush |inh|
|
||||
|Lak |lbe|
|
||||
|Lezghian |lez|
|
||||
|Tabassaran |tab|
|
||||
|Bihari |bh|
|
||||
|Maithili |mai|
|
||||
|Angika |ang|
|
||||
|Bhojpuri |bho|
|
||||
|Magahi |mah|
|
||||
|Nagpur |sck|
|
||||
|Newari |new|
|
||||
|Goan Konkani|gom|
|
||||
|Saudi Arabia|sa|
|
||||
<a name="inference"></a>
|
||||
## 4 Inference and Deployment
|
||||
|
||||
In addition to installing the whl package for quick forecasting,
|
||||
ppocr also provides a variety of forecasting deployment methods.
|
||||
If necessary, you can read related documents:
|
||||
|
||||
- [Python Inference](./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)
|
||||
- [Benchmark](./benchmark_en.md)
|
||||
|
||||
|
||||
<a name="language_abbreviations"></a>
|
||||
## 5 Support languages and abbreviations
|
||||
|
||||
| Language | Abbreviation | | Language | Abbreviation |
|
||||
| --- | --- | --- | --- | --- |
|
||||
|chinese and english|ch| |Arabic|ar|
|
||||
|english|en| |Hindi|hi|
|
||||
|french|fr| |Uyghur|ug|
|
||||
|german|german| |Persian|fa|
|
||||
|japan|japan| |Urdu|ur|
|
||||
|korean|korean| | Serbian(latin) |rs_latin|
|
||||
|chinese traditional |ch_tra| |Occitan |oc|
|
||||
| Italian |it| |Marathi|mr|
|
||||
|Spanish |es| |Nepali|ne|
|
||||
| Portuguese|pt| |Serbian(cyrillic)|rs_cyrillic|
|
||||
|Russia|ru||Bulgarian |bg|
|
||||
|Ukranian|uk| |Estonian |et|
|
||||
|Belarusian|be| |Irish |ga|
|
||||
|Telugu |te| |Croatian |hr|
|
||||
|Saudi Arabia|sa| |Hungarian |hu|
|
||||
|Tamil |ta| |Indonesian|id|
|
||||
|Afrikaans |af| |Icelandic|is|
|
||||
|Azerbaijani |az||Kurdish|ku|
|
||||
|Bosnian|bs| |Lithuanian |lt|
|
||||
|Czech|cs| |Latvian |lv|
|
||||
|Welsh |cy| |Maori|mi|
|
||||
|Danish|da| |Malay|ms|
|
||||
|Maltese |mt| |Adyghe |ady|
|
||||
|Dutch |nl| |Kabardian |kbd|
|
||||
|Norwegian |no| |Avar |ava|
|
||||
|Polish |pl| |Dargwa |dar|
|
||||
|Romanian |ro| |Ingush |inh|
|
||||
|Slovak |sk| |Lak |lbe|
|
||||
|Slovenian |sl| |Lezghian |lez|
|
||||
|Albanian |sq| |Tabassaran |tab|
|
||||
|Swedish |sv| |Bihari |bh|
|
||||
|Swahili |sw| |Maithili |mai|
|
||||
|Tagalog |tl| |Angika |ang|
|
||||
|Turkish |tr| |Bhojpuri |bho|
|
||||
|Uzbek |uz| |Magahi |mah|
|
||||
|Vietnamese |vi| |Nagpur |sck|
|
||||
|Mongolian |mn| |Newari |new|
|
||||
|Abaza |abq| |Goan Konkani|gom|
|
||||
|
|
|
|||
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Reference in New Issue