1. Download pyseeta(https://github.com/TuXiaokang/pyseeta.git)

2. git submodule update --init --recursive

3. Build SeetaFaceEngine dynamic library.

   on unix

   cd SeetaFaceEngine/
   mkdir Release; cd Release
   cmake ..
   make  

   on windows

   cd SeetaFaceEngine/
   mkdir Release; cd Release
   cmake -G "Visual Studio 14 2015 Win64" ..
   cmake --build . --config Release

4. the generated dynamic lib is in SeetaFaceEngine/Release

5. run test

   on ubuntu

   sudo python setup.py install
   sudo apt-get install unrar
   cd SeetaFaceEngine/model/
   unrar e seeta_fr_v1.0.part1.rar
   cd ..
   cd ..
   python test.py

   on windows

   python setup.py install
   python test.py

If you want to use function of faceidentification, you need decompress the seeta_fr_v1.0.part.1.rar which located in SeetaFaceEngine/model