This app was developed by Michael Sladoje and Mike Schälchli during a bachelor thesis at the Zurich University of Applied Sciences.
Acknowledgements go to the thesis supervisors Dr. Martin Loeser, Dr. Oliver Dürr, Diego Browarnik and all the contributors of our code sources.
Code has been derived from the following sources:
- OpenCV - https://github.com/opencv/opencv
- LIBSVM - https://github.com/cjlin1/libsvm
- AndroidLibSvm - https://github.com/yctung/AndroidLibSvm
- TensorFlow - https://github.com/tensorflow/tensorflow
- facenet - davidsandberg/facenet#240
- Caffe - https://github.com/BVLC/caffe
- caffe-android-demo - https://github.com/sh1r0/caffe-android-demo
- caffe-android-lib - https://github.com/sh1r0/caffe-android-lib
The core functions have been moved to a separate repository which can be used as an Android library (module).
git clone https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework.git
The app can be downloaded directly from the Google Play Store - Face Recognition.
The source can be compiled using Android Studio (common gradle scripts).
The user manual can be found here