how to cancel Face Recognition

How to Cancel Face Recognition

Published by Qualeams



Learn how to cancel Face Recognition subscription on iPhone, Android, Paypal or directly.


Table of Contents:

  1. Cancel on iphone
  2. Cancel on android
  3. Cancel on Paypal
  4. Cancel via Email
  5. Cancel on Website


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Reading time: 41 seconds

Cancel Face Recognition Subscription on iPhone & iPad

  1. On your phone, open "Settings" and tap your Apple ID profile.
  2. Click "Subscriptions" and select "Face Recognition".
  3. Click "Cancel Subscription" and confirm the cancellation.

Alternative method via AppStore:

  1. Goto the Appstore » your Profile » Subscriptions.
  2. select "Face Recognition" and click "Cancel Subscription".


Cancel Face Recognition Subscription on Android


  1. Launch the PlayStore app and click the hamburger menu icon.
  2. Select "Subscriptions" » tap "Face Recognition" » click "Cancel Subscription".
  3. Your subscription to Face Recognition will now be canceled.


Cancel Face Recognition Subscription on PayPal

  1. Sign in to your PayPal Account and click "Settings ".
  2. Select "Payments" and click "Manage Automatic Payments".
  3. Under Automatic Payments tab, click "Face Recognition" or "Qualeams" » "Cancel".
  4. You are now unsubscribed from Face Recognition


Cancel Face Recognition via Email

  1. Open your email app
  2. Provide all the relevant information regarding your account.
  3. Provide a reason for the cancelation.
  4. Send the email to [email protected] Login to see email.

Alternatively, you can directly ask Face Recognition customer service to cancel your subscription using the form below:

Already have an account? Login here


Cancel Subscription Directly on Face Recognition's Website

  1. Visit their website - https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework and login to your account.
  2. Goto your profile or account page and click "Billings" or "Subscriptions".
  3. Click "Cancel" to remove your subscription.



About Face Recognition App

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

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