Face Recognition APK
Version 1.5.1 - ch.zhaw.facerecognitionzhaw,facerecognition,libraries,demo,face,recognition
APP Information
Download Version | 1.5.1 (26) |
Apk Size | 54.41 MB |
App Developer | Sladi |
Malware Check | TRUSTED |
Install on Android | 5.0 and up |
App Package | ch.zhaw.facerecognition.apk |
MD5 | deb859fb69bfb9720c2a289e5d120df6 |
Rate | 5 |
Website | https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework |
Table of Contents
Download Face Recognition 1.5.1 APK
App Description
Face Recognition is zhaw,facerecognition,libraries,demo,face,recognition, content rating is Everyone (PEGI-3). This app is rated 5 by 1 users who are using this app. To know more about the company/developer, visit Sladi website who developed it. ch.zhaw.facerecognition.apk apps can be downloaded and installed on Android 5.0 and higher Android devices. The Latest Version of 1.5.1 Available for download. Download the app using your favorite browser and click Install to install the application. Please note that we provide both basic and pure APK files and faster download speeds than APK Mirror. This app APK has been downloaded 275+ times on store. You can also download ch.zhaw.facerecognition APK and run it with the popular Android Emulators.
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. For best performance use "Image Reshaping with Support Vector Machine" (0.5 s / image). For best accuracy use the "VGG Face Descriptor" model (the performance is very bad though - 6.5 s/ image) _______________________________________________________________ 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
App ChangeLog
- - Switch from building Tensorflow from source to using the Jcenter library
- Included optimized_facenet model and changed default settings to use TensorFlow by default
App Screens
fa604646eed9760caab6982bf2cc8218.apkName:face-recognition.apk
Name:base.apk
Apk scan results
Apk Scaned By TotalVirus Antivirus,ch.zhaw.facerecognition.apk Was Pure And Safe. Scan Stats:harmless:0|type-unsupported:12|suspicious:0|confirmed-timeout:0|timeout:1|failure:0|malicious:0|undetected:62| Name:fa604646eed9760caab6982bf2cc8218.apk
Name:face-recognition.apk
Name:base.apk SHA-1:f2eec606e485aa84f4fa736b76a69a1d189c0d39 SHA-256:a6fe4cdb772a3ee715ec6623421a8c1d8e98a510ba852d0d1db0134f3c270f8c SSDEEP:1572864:4rJcgmPqIHZNwGIYMb0GxcyBs8lZaFDWdnPz:4rJ/mPqIHnNGxcFUFdL File type:Android Magic:Zip archive data, at least v2.0 to extract File size:57056784 Uncompressed Size:185184718 Contained Files :385 Contained Files By Type:xml:110,dex:1,MF:1,RSA:1,jpg:1,pb:1,so:11,SF:1,png:257,
Aardvark Mindshank
Actually quite amazing. Simply train it with 20 pics of each person. Then activate the recognition training. And finally it recognises the face. The photos are put into the file system so that it's easy to edit/add your own. Very cool indeed. The I ly thing I need is some way to drive an external system from this - eg. output a get endpoint url per person. That would allow this system to drive home automation systems!
Aamir shahzad
Its working fine when recognizing already registered person. But it doesnot work for unknown person who is not in database. For every new or unknown person it show the name located lastly in database.
Impiger IOT
App gets crashed when we try Face recognition view, author could suggest the best configuration mobiles to use this app
dylan slingsby
Could not upload images this makes using it for anything meaningful virtually impossible
prajwal singh
I want to distinguish between the trained people and untrained people. If the people. Is untrained it should show an mesaage that unknown people.. How to do this????
Joseph Wanshe
Useless app. Not even worth a 1 star. STOP wasting people's data.
queen imaro
Please guys i have never commented on any app before but i had to in this case..... This app is TERRIBLE. . Total waste of data and time.... Infact whoever create this app should be arrested for fraud....
It's Cheri
I wanted it to scan my face when I want to be on my phone.
Alex Jesses
this app is not working on my phone I installed on it and I take a setup but it not working at all
Alexis Britt
What? This doesnt do nothing, is there a real app that works i want it for possabel scam want to see if winner is real, Yes my spelling sucks, same as all this other apps