raczo/android-face-recognition-with-deep-learning-library

Face Recognition library for Android devices is an Android library (module) which includes several face recognition methods.

Android Face Recognition with Deep Learning - Library

Acknowledgements

This library 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

App architecture

Usage

Include as an Android module from bintray

1. Add bintray repository to the project build.gradle file

repositories {
    maven {
        url  "http://dl.bintray.com/qualeams/Android-Face-Recognition-Deep-Learning-Library" 
    }
}

2. Add library dependency to the module/app build.gradle file

compile 'ch.zhaw:facerecognitionlibrary:1.5.2'

Include as an Android module from source

1. git clone https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Library.git
2. Import the facerecognitionlibrary in the existing Android Studio project

Parameters

Most parameters are set in the settings/preferences.

Train, Classify

Either train and classify by passing images (OpenCV Mat object) to the library or if features already obtained from the image (getFeatureVector), the feature vector can be passed (OpenCV Mat object) together with the flag "featuresAlreadyExtracted" set to 'true'.

Android NDK - C++

The libs for LIBSVM can be compiled outside of Android Studio with the make command (the Makefile is located under /jni-build). There are 3 different usages:

• make clean (executes ndk-build clean)
• make (executes ndk-build)
• make install (copies the libs to the folder /src/main/jniLibs/armeabi-v7a)