다운로드 Face Recognition - v1.5.1

Guide For AnTuTu Benchmark, Game Booster Free Power GFX Lag Fix, V380s, CommCare, VSCAM, Can'u - Sex Game challenges for couple만큼 좋은 애플리케이션가 꽤 있고 라이브러리/데모 장르의 위대한 애플리케이션 중 하나 인 Face Recognition - v1.5.1도 있습니다.

Qualeams에서 개발 한 Face Recognition - v1.5.1는 Android 버전이 Android 5.0+ 이상이어야합니다. 따라서 필요한 경우 휴대 전화를 업데이트해야합니다.

Face Recognition - v1.5.1 최신 버전은 1.5.1, 출시일은 2017-05-27이며 크기는 54.4 MB입니다.

Google Play에서 1000 다운로드에 대한 통계를 확인할 수 있습니다. 원하는 경우 Android 기기에 개별적으로 다운로드하거나 설치된 앱을 업데이트 할 수 있습니다. 앱을 업데이트하면 최신 기능에 더 많이 액세스하고 보안을 강화할 수 있습니다. 응용 프로그램의 안정성.

모든 게임이나 앱이 모든 휴대 전화와 호환되는 것은 아니기 때문입니다.이 게임이나 애플리케이션은 기기에서 사용할 수 없습니다. Android OS 버전, 화면 해상도 또는 Google Play에서 액세스를 허용하는 국가에 따라 다릅니다. 따라서 APK4Share에서 다음 작업을 할 수 있습니다. APK 파일을 쉽게 다운로드 할 수 있으며 이러한 제한이 적용되지 않습니다.

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