Download Face Recognition 1.5.1 APK

Download Face Recognition 1.5.1 APK

Description of Face Recognition

Face Recognition can be used as a testframework for several face recognition methods including the NeuralNetworks with TensorFlow and Caffe.

It includes following preprocessing algorithms:
– Grayscale
– Crop
– Eye Alignment
– Gamma Correction
– Difference of Gaussians
– Canny-Filter
– Local Binary Pattern
– Histogramm Equalization (can only be used if grayscale is usedtoo)
– Resize

You can choose from the following feature extraction andclassification methods:
– Eigenfaces with Nearest Neighbour
– Image Reshaping with Support Vector Machine
– TensorFlow with SVM or KNN
– Caffe with SVM or KNN

The manual can be found herehttps://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/USER%20MANUAL.md

At the moment only armeabi-v7a devices and upwards aresupported.

For best experience in recognition mode rotate the device toleft.

For best performance use “Image Reshaping with Support VectorMachine” (0.5 s / image).

For best accuracy use the “VGG Face Descriptor” model (theperformance is very bad though – 6.5 s/ image)
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TensorFlow:

If you want to use the Tensorflow Inception5h model, download itfrom here:
https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip

Then copy the file “tensorflow_inception_graph.pb” to”/sdcard/Pictures/facerecognition/data/TensorFlow”

Use these default settings for a start:
Number of classes: 1001 (not relevant as we don’t use the lastlayer)
Input Size: 224
Image mean: 128
Output size: 1024
Input layer: input
Output layer: avgpool0
Model file: tensorflow_inception_graph.pb
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If you want to use the VGG Face Descriptor model, download it fromhere:
https://www.dropbox.com/s/51wi2la5e034wfv/vgg_faces.pb?dl=0

Caution: This model runs only on devices with at least 3 GB orRAM.

Then copy the file “vgg_faces.pb” to”/sdcard/Pictures/facerecognition/data/TensorFlow”

Use these default settings for a start:
Number of classes: 1000 (not relevant as we don’t use the lastlayer)
Input Size: 224
Image mean: 128
Output size: 4096
Input layer: Placeholder
Output layer: fc7/fc7
Model file: vgg_faces.pb
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Caffe:

If you want to use the VGG Face Descriptor model, download it fromhere:
http://www.robots.ox.ac.uk/~vgg/software/vgg_face/src/vgg_face_caffe.tar.gz

Caution: This model runs only on devices with at least 3 GB orRAM.

Then copy the files “VGG_FACE_deploy.prototxt” and”VGG_FACE.caffemodel” to”/sdcard/Pictures/facerecognition/data/caffe”

Use these default settings for a start:
Mean values: 104, 117, 123
Output layer: fc7
Model file: VGG_FACE_deploy.prototxt
Weights file: VGG_FACE.caffemodel

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The license files can be found herehttps://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/LICENSE.txtand herehttps://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/NOTICE.txt

App Information of Face Recognition

App Name Face Recognition
Package Name ch.zhaw.facerecognition
Version 1.5.1
Rating 3.2 ( 68 )
Size
Requirement Android 5.0 and up
Updated 2017-05-26
Installs 10,000 - 50,000
Developer

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