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Cony07f5/chineseocr

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本项目基于yolo3crnn 实现中文自然场景文字检测及识别

环境部署

python=3.6 pytorch=0.2.0

git clone https://github.com/pjreddie/darknet.git
cd darknet
make 
cd ..
git clone https://github.com/chineseocr/chineseocr.git
cd chineseocr
sh setup.sh #(cpu sh setpu-cpu.sh)

下载模型文件

模型文件地址:https://pan.baidu.com/s/1dEopm8VkFLuDDfVkpuzHqQ
或者可将yolo3模型转换为keras版本,详细参考https://github.com/qqwweee/keras-yolo3.git

mv models chineseocr

web服务启动

cd chineseocr## 进入chineseocr目录
ipython app.py 8080 ##8080端口号,可以设置任意端口

识别结果展示

访问服务

http://127.0.0.1:8080/ocr

参考

  1. yolo3 https://github.com/pjreddie/darknet.git
  2. crnn https://github.com/meijieru/crnn.pytorch.git
  3. ctpn https://github.com/eragonruan/text-detection-ctpn
  4. CTPN https://github.com/tianzhi0549/CTPN

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  • Python 56.8%
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