Face Recognition
5.4 18
v1.5.1 by Qualeams
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About Face Recognition
Face Recognition (Package Name: ch.zhaw.facerecognition) is developed by Qualeams and the latest version of Face Recognition 1.5.1 was updated on May 26, 2017. Face Recognition is in the category of Libraries & Demo. You can check all apps from the developer of Face Recognition and find 35 alternative apps to Face Recognition on Android. Currently this app is for free. This app can be downloaded on Android 5.0+ on APKFab or Google Play. All APK/XAPK files on APKFab.com are original and 100% safe with fast download.
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.
_______________________________________________________________
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
---------------------------------------------------------------------------------------------------------
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
_______________________________________________________________
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
_______________________________________________________________
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
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.
_______________________________________________________________
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
---------------------------------------------------------------------------------------------------------
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
_______________________________________________________________
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
_______________________________________________________________
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
Face Recognition 1.5.1 Update
- Switch from building Tensorflow from source to using the Jcenter library- Included optimized_facenet model and changed default settings to use TensorFlow by default
Read More
Face Recognition Features
Previous Versions More
Face Recognition
1.5.1
APK
May 28, 2017
54.41 MB
Requires Android: Android 5.0+
Architecture: arm64-v8a, armeabi-v7a, x86, x86_64
Screen DPI: 160-640dpi
SHA1: f2eec606e485aa84f4fa736b76a69a1d189c0d39
Size: 54.41 MB
What's New:
- Switch from building Tensorflow from source to using the Jcenter library
- Included optimized_facenet model and changed default settings to use TensorFlow by default
- Included optimized_facenet model and changed default settings to use TensorFlow by default
Face Recognition
1.4.1
APK
April 26, 2017
24.46 MB
Requires Android: Android 5.0+
Architecture: arm64-v8a, armeabi-v7a
Screen DPI: 160-640dpi
SHA1: aa51ed48c9a5f0b1c38bf0ede514d360f9a7fb1d
Size: 24.46 MB
What's New:
- fixes crash in Crop method, if the camera view is not used in the default landscape mode
Face Recognition
1.4.0
APK
April 2, 2017
24.46 MB
Requires Android: Android 5.0+
Architecture: arm64-v8a, armeabi-v7a
Screen DPI: 160-640dpi
SHA1: 044f89d25f912f145e83e245baace1bbde4638cb
Size: 24.46 MB
What's New:
- Upgrade to TensorFlow r1.0
- Upgrade to OpenCV 3.2.0
- Add function to set the Camera View size (default 320 x 240)
- Fixed detection (removed Crop from settings, instead always crop the image before applying additional preprocessings)
- Upgrade to OpenCV 3.2.0
- Add function to set the Camera View size (default 320 x 240)
- Fixed detection (removed Crop from settings, instead always crop the image before applying additional preprocessings)
Face Recognition
1.3.2
APK
February 14, 2017
23.81 MB
Requires Android: Android 5.0+
Architecture: arm64-v8a, armeabi-v7a
Screen DPI: 160-640dpi
SHA1: 3273cbd9e3252ca8dcfdafcfe27adab5b30cb4d4
Size: 23.81 MB
What's New:
Version 1.3.2:
- Added link to the Privacy Policy (About button) due to the Play Store policy
- Fixed crashing if Night Portrait Mode is not supported for the device
- Added link to the Privacy Policy (About button) due to the Play Store policy
- Fixed crashing if Night Portrait Mode is not supported for the device
More Information
Package Name:
Category:
Update Date:
2017-05-26
Latest Version:
1.5.1
Need Update:
Available on:
Requirements:
Android 5.0+
Report:
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