How to Cancel Face Recognition
Learn how to cancel Face Recognition subscription on iPhone, Android, Paypal or directly.
Table of Contents:
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Cancel Face Recognition Subscription on iPhone & iPad
- On your phone, open "Settings" and tap your Apple ID profile.
- Click "Subscriptions" and select "Face Recognition".
- Click "Cancel Subscription" and confirm the cancellation.
Alternative method via AppStore:
- Goto the Appstore » your Profile » Subscriptions.
- select "Face Recognition" and click "Cancel Subscription".
Cancel Face Recognition Subscription on Android
- Launch the PlayStore app and click the hamburger menu icon.
- Select "Subscriptions" » tap "Face Recognition" » click "Cancel Subscription".
- Your subscription to Face Recognition will now be canceled.
Cancel Face Recognition Subscription on PayPal
- Sign in to your PayPal Account and click "Settings ".
- Select "Payments" and click "Manage Automatic Payments".
- Under Automatic Payments tab, click "Face Recognition" or "Qualeams" » "Cancel".
- You are now unsubscribed from Face Recognition
Cancel Face Recognition via Email
- Open your email app
- Provide all the relevant information regarding your account.
- Provide a reason for the cancelation.
- Send the email to [email protected] Login to see email.
Cancel Subscription Directly on Face Recognition's Website
- Visit their website - https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning-Test-Framework and login to your account.
- Goto your profile or account page and click "Billings" or "Subscriptions".
- 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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