Face Recognition

App ID	ch.zhaw.facerecognition
Size	54.4 MB
Version	1.5.1
Updated	2017-05-28
Developer	Qualeams

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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

Apps APK (Android Package Kit) is the file format used to distribute and install applications on Android devices. It's the equivalent of an EXE file on Windows or a DMG file on macOS. Best face recognition for android APK files contain all the necessary elements for an Android app to be installed on a device.

Here are some key points about face recognition APK Apps Apps files:

1. Installation Apps APK: You can install an face recognition APK file on an Android device by either downloading it directly to the device or transferring it from a computer face recognition android download. However, keep in mind that installing Apps apps from unknown sources may pose security risks, as they haven't been vetted by the official app stores (Google Play Store).

2. Source Apps APK: APK files are usually obtained from the Google Play Store, but they can also be downloaded from other sources. It's important to be cautious when downloading Apps APKs from third-party websites, as they may contain malicious software.

3. Permissions Apps APK: When you install an app via an APK file, you might be asked to grant certain permissions to the app. Be sure to review the permissions requested by the app to ensure they are reasonable and necessary for the Apps app's functionality.

4. Updates Apps APK: Apps installed via APK files may not receive automatic updates from the Google Play Store. You'll need to manually update the app by downloading and installing the latest face recognition android APK file.

5. Compatibility Apps APPS: APK files are designed for Android devices. They won't work on iOS devices (like iPhones and iPads) because iOS uses a different file format for Apps installations.

If you have a specific Apps APK file and you're looking for information about it, such as its source, purpose, or safety, it's crucial to exercise caution and, if possible, verify the legitimacy of the file before installation. Additionally, be aware of the potential security risks associated with face recognition download Apps apps from unknown sources.

- Switch from building Tensorflow from source to using the Jcenter library- Included optimized_facenet model and changed default settings to use TensorFlow by default