pyseeta: python api for SeetaFaceEngine

for detection

<img src="images/chloecalmon_det.jpg" width = '70%'/>

for alignment

<img src="images/chloecalmon_align.jpg" width = '70%'/>

for identification

<div align='center'> <img src="images/single_id.jpg" width = "300"/> <img src="images/double_id.jpg" width = "400"/> </div>

Installation

1. Download pyseeta

git clone https://github.com/TuXiaokang/pyseeta.git

2. Download SeetaFaceEngine

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. installation

python setup.py install

5. run examples

python examples/{test_opencv.py or test_pillow.py}

Uninstallation

pip uninstall pyseeta

Update Log

v0.4.0

1. pretrained model is separate from submodule (SeetaFaceEngine) now, which makes clone opreration easier.
2. pretrained model could be automatic downloaded.

v0.3.0

1. support pillow image