Face Recognition APK

Face Recognition  Icon
  
2.8/5
217 Ratings
Developer
Qualeams
Current Version
1.5.1
Date Published
File Size
54.4 MB
Package ID
ch.zhaw.facerecognition
Price
$ 0.00
Downloads
50000+
Category
Android Apps
Genre
Libraries & Demo

APK Version History

Version
1.5.1 (26)
Architecture
arm64-v8a, armeabi-v7a, x86, x86_64
Release Date
May 28, 2017
Requirement
Android 5.0+
Version
1.4.1 (25)
Architecture
arm64-v8a, armeabi-v7a
Release Date
April 26, 2017
Requirement
Android 5.0+
Version
1.4.0 (24)
Architecture
arm64-v8a, armeabi-v7a
Release Date
April 02, 2017
Requirement
Android 5.0+
Version
1.3.2 (22)
Architecture
arm64-v8a, armeabi-v7a
Release Date
February 14, 2017
Requirement
Android 5.0+
Version
1.3.1 (21)
Architecture
arm64-v8a, armeabi-v7a
Release Date
January 07, 2017
Requirement
Android 5.0+
  • Face Recognition Screenshot
  • Face Recognition Screenshot
  • Face Recognition Screenshot
  • Face Recognition Screenshot
  • Face Recognition Screenshot
  • Face Recognition Screenshot
  • Face Recognition Screenshot
  • Face Recognition Screenshot

About Radio FM 90s

Face Recognition can be used as a test framework for several face recognition methods including the Neural Networks 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 used too)
- Resize

You can choose from the following feature extraction and classification 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 here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/USER%20MANUAL.md

At the moment only armeabi-v7a devices and upwards are supported.

For best experience in recognition mode rotate the device to left.
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TensorFlow:

If you want to use the Tensorflow Inception5h model, download it from 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 last layer)
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 from here:
https://www.dropbox.com/s/51wi2la5e034wfv/vgg_faces.pb?dl=0

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

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 last layer)
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 from here:
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 or RAM.

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 here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/LICENSE.txt and here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/NOTICE.txt

What's New in this version

- Switch from building Tensorflow from source to using the Jcenter library

- Included optimized_facenet model and changed default settings to use TensorFlow by default