Update installation steps
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# ex: set ts=8 noet:
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all: qt5 test
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test: testpy3
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testpy2:
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python -m unittest discover tests
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testpy3:
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python3 -m unittest discover tests
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qt4: qt4py2
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qt5: qt5py3
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qt4py2:
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pyrcc4 -py2 -o libs/resources.py resources.qrc
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qt4py3:
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pyrcc4 -py3 -o libs/resources.py resources.qrc
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qt5py3:
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pyrcc5 -o libs/resources.py resources.qrc
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clean:
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rm -rf ~/.labelImgSettings.pkl *.pyc dist labelImg.egg-info __pycache__ build
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pip_upload:
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python3 setup.py upload
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long_description:
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restview --long-description
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.PHONY: all
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@ -24,11 +24,9 @@ python PPOCRLabel.py
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#### Ubuntu Linux
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```
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sudo apt-get install pyqt5-dev-tools
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sudo apt-get install trash-cli
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pip3 install pyqt5
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pip3 install trash-cli
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cd ./PPOCRLabel # 将目录切换到PPOCRLabel文件夹下
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sudo pip3 install -r requirements/requirements-linux-python3.txt
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make qt5py3
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python3 PPOCRLabel.py
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```
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@ -38,7 +36,6 @@ pip3 install pyqt5
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pip3 uninstall opencv-python # 由于mac版本的opencv与pyqt有冲突，需先手动卸载opencv
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pip3 install opencv-contrib-python-headless # 安装headless版本的open-cv
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cd ./PPOCRLabel # 将目录切换到PPOCRLabel文件夹下
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make qt5py3
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python3 PPOCRLabel.py
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```
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@ -75,6 +72,16 @@ python3 PPOCRLabel.py
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| rec_gt.txt | 识别标签。可直接用于PPOCR识别模型训练。需用户手动点击菜单栏“PaddleOCR” - "保存识别结果"后产生。 |
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| crop_img | 识别数据。按照检测框切割后的图片。与rec_gt.txt同时产生。 |
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## 说明
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### 内置模型
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- 默认模型：PPOCRLabel默认使用PaddleOCR中的中英文超轻量OCR模型，支持中英文与数字识别，多种语言检测。
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- 模型语言切换：用户可通过菜单栏中 "PaddleOCR" - "选择模型" 切换内置模型语言，目前支持的语言包括法文、德文、韩文、日文。具体模型下载链接可参考[PaddleOCR模型列表](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/models_list.md).
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- 自定义模型：用户可根据[自定义模型代码使用](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_ch/whl.md#%E8%87%AA%E5%AE%9A%E4%B9%89%E6%A8%A1%E5%9E%8B)，通过修改PPOCRLabel.py中针对[PaddleOCR类的实例化](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/PPOCRLabel/PPOCRLabel.py#L110)替换成自己训练的模型
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### 错误提示
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- 如果同时使用whl包安装了paddleocr，其优先级大于通过paddleocr.py调用PaddleOCR类，whl包未更新时会导致程序异常。
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- PPOCRLabel不支持对中文文件名的图片进行自动标注。
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### 参考资料
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1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg)
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@ -26,11 +26,9 @@ python PPOCRLabel.py --lang en
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#### Ubuntu Linux
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```
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sudo apt-get install pyqt5-dev-tools
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sudo apt-get install trash-cli
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pip3 install pyqt5
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pip3 install trash-cli
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cd ./PPOCRLabel # Change the directory to the PPOCRLabel folder
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sudo pip3 install -r requirements/requirements-linux-python3.txt
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make qt5py3
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python3 PPOCRLabel.py --lang en
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```
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@ -40,7 +38,6 @@ pip3 install pyqt5
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pip3 uninstall opencv-python # Uninstall opencv manually as it conflicts with pyqt
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pip3 install opencv-contrib-python-headless # Install the headless version of opencv
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cd ./PPOCRLabel # Change the directory to the PPOCRLabel folder
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make qt5py3
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python3 PPOCRLabel.py --lang en
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```
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@ -92,6 +89,14 @@ Therefore, if the recognition result has been manually changed before, it may ch
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| rec_gt.txt | The recognition label file, which can be directly used for PPOCR identification model training, is generated after the user clicks on the menu bar "PaddleOCR"-"Save recognition result". |
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| crop_img | The recognition data, generated at the same time with *rec_gt.txt* |
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### Built-in Model
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- Default model: PPOCRLabel uses the Chinese and English ultra-lightweight OCR model in PaddleOCR by default, supports Chinese, English and number recognition, and multiple language detection.
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- Model language switching: Changing the built-in model language is supportable by clicking "PaddleOCR"-"Choose OCR Model" in the menu bar. Currently supported languagesinclude French, German, Korean, and Japanese.
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For specific model download links, please refer to [PaddleOCR Model List](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/models_list_en.md#multilingual-recognition-modelupdating)
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- Custom model: The model trained by users can be replaced by modifying PPOCRLabel.py in [PaddleOCR class instantiation](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/PPOCRLabel/PPOCRLabel.py#L110) referring [Custom Model Code](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/whl_en.md#use-custom-model)
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## Related
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1.[Tzutalin. LabelImg. Git code (2015)](https://github.com/tzutalin/labelImg)
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