다운로드 Face Recognition - v1.5.1

Face Recognition - v1.5.1 또는 V380s, Game Booster Free Power GFX Lag Fix, Can'u - Sex Game challenges for couple, VSCAM, SwipeYours, CommCare, 라이브러리/데모 카테고리에서 가장 멋진 애플리케이션 중 하나에 대해 들어 보셨습니다.

물론 모든 게임이나 애플리케이션이 모든 휴대 전화와 호환되는 것은 아닙니다. 게임이나 애플리케이션이 기기에서 사용할 수없는 경우도 있으며 시스템 버전에 따라 다릅니다. Android 운영 체제, 화면 해상도 또는 국가 Google Play에서 액세스를 허용합니다. APKPanda는 다운로드 할 수있는 Android APK 파일을 제공하며 이러한 제한을 고수하지 않습니다.>
Face Recognition - v1.5.1 최신 버전은 1.5.1, 출시일은 2017-05-27이며 크기는 54.4 MB입니다.Qualeams에서 개발 한 Face Recognition - v1.5.1는 Android 버전이 Android 5.0+ 이상이어야합니다. 따라서 필요한 경우 휴대 전화를 업데이트해야합니다.

약 1000 회 다운로드했습니다. 원하는 경우 Android 기기에 개별적으로 다운로드하거나 설치된 앱을 업데이트 할 수 있습니다. 앱을 업데이트하면 최신 기능에 대한 액세스 권한이 부여되고 애플리케이션 보안 및 안정성이 향상됩니다.

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)- ResizeYou 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 KNNThe manual can be found here https://github.com/Qualeams/Android-Face-Recognition-with-Deep-Learning/blob/master/USER%20MANUAL.mdAt 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.zipThen 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: 224Image mean: 128Output size: 1024Input layer: inputOutput layer: avgpool0Model 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=0Caution: 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: 224Image mean: 128Output size: 4096Input layer: PlaceholderOutput layer: fc7/fc7Model 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.gzCaution: 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, 123Output layer: fc7Model file: VGG_FACE_deploy.prototxtWeights 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

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