Android Face Recognition with Deep Learning - Test Framework
Continuous integration
Acknowledgements
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
Library
The core functions have been moved to a separate repository which can be used as an Android library (module).
App architecture
Usage
Clone
git clone https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework.git
Compilation
APK - Package
The app can be downloaded directly from the Google Play Store - Face Recognition.
Android SDK - Java
The source can be compiled using Android Studio (common gradle scripts).
User manual
The user manual can be found here