Descargar Face Recognition - v1.5.1

Descarga y comparte Face Recognition - v1.5.1, uno de los Aplicaciones destacados en la categoría Bibliotecas y demos.
Además, algún otro Aplicaciones que puede descargar como CommCare, Pydroid repository plugin, SwipeYours, Scandit Barcode Scanner Demo, Game Booster Free Power GFX Lag Fix, FTDA Extranet. Si está satisfecho con Face Recognition - v1.5.1.

Lanzada por Qualeams, Face Recognition - v1.5.1 es una de las mejores y mejores aplicaciones gratuitas para teléfonos móviles disponibles en la actualidad. Se encuentra en la categoría Bibliotecas y demos de la tienda de aplicaciones.

El sistema operativo mínimo para Face Recognition - v1.5.1 es Android 5.0+ en adelante. Por lo tanto, debe actualizar su teléfono si aún no lo ha hecho.

En APKDroid, obtendrá Face Recognition - v1.5.1 descarga gratuita de APK, siendo la última versión 1.5.1, fecha de publicación 2017-05-27, el tamaño del archivo es 54.4 MBSegún las estadísticas de Google Play Store, hay alrededor de 1000 descargas. Las aplicaciones descargadas o instaladas individualmente en Android se pueden actualizar si lo desea. Actualice sus aplicaciones también. Le otorga acceso a las funciones más recientes y mejora la seguridad y estabilidad de la aplicación. ¡Disfrútala ahora!

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