contact Face Recognition

Contact Face Recognition

Published by Qualeams



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Why should I report an Issue with Face Recognition?


  1. AppContacter will directly Email your issue/feedback to an apps's customer service once you report an issue and with lots of issues reported, companies will definitely listen to you.
  2. Pulling issues faced by users like you is a good way to draw attention of Qualeams to your problem using the strength of crowds.
  3. Importantly, customers can learn from other customers in case the issue is a common problem that has been solved before.



Face Recognition Features and Description

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

contact Face Recognition image 2   contact Face Recognition image 2

Troubleshoot and Solve Common Face Recognition Issues


How to Fix Face Recognition Not Working, Crashes, has Errors, Is Unresponsive, has Black screen/White screen:


To resolve these issues with Face Recognition, we will start with troubleshooting the service itself and then account issues, then potential problems with your device. Let's get started:

  1. Check if Face Recognition is down for everyone and not just you: A good way to know if it's not working for everyone is to check Appcontacter Face Recognition user reports here >>. If other users are reporting that Face Recognition is down, you'll need to wait until Face Recognition itself fixes the issue.

  2. Clear Face Recognition app cache: Clearing cached data will force.....

Reported Issues


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