#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
• TensorFlow Android Demo - https://github.com/miyosuda/TensorFlowAndroidDemo
• 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 --recursive https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework.git
cd Android-Face-Recognition-with-Deep-Learning-Test-Framework/facerecognitionlibrary
git checkout master

###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