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face_recognition_py

本项目基于OpenCV使用Haar级联与dlib库进行人脸检测及实时跟踪,应用LBPH算法开发了一个功能相对完整的人脸识别系统。系统采用sqlite3进行序列化数据存储,能够对陌生人脸闯入进行报警,并拥有基于PyQt5设计的GUI实现。

系统预览

核心框架

人脸采集

数据管理

如何运行?

以下操作基于Anaconda3环境,并在Windows10 x64上测试。

克隆代码

$ git clone https://github.com/winterssy/face_recognition_py.git
$ cd face_recognition_py

创建Python虚拟环境

$ conda create -n opencv python=3.6
$ activate opencv

安装OpenCV

$ cd modules
$ pip install opencv_python-3.4.1+contrib-cp36-cp36m-win_amd64.whl

安装dlib

$ pip install dlib-19.8.1-cp36-cp36m-win_amd64.whl

安装其它依赖包

$ cd ..
$ pip install -r requirements.txt

运行核心框架

$ python core.py

运行人脸采集系统

$ python dataRecord.py

运行数据管理系统

$ python dataManage.py

更新

$ git pull

退出虚拟环境

$ deactivate

License

GPL-3.0

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