Displaying 1 to 10 from 10 results

facenet - Face recognition using Tensorflow

  •    Python

This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "Deep Face Recognition" from the Visual Geometry Group at Oxford. The code is tested using Tensorflow r1.7 under Ubuntu 14.04 with Python 2.7 and Python 3.5. The test cases can be found here and the results can be found here.

openface - Face recognition with deep neural networks.

  •    Lua

Free and open source face recognition with deep neural networks. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources.

CompreFace - Leading free and open-source face recognition system

  •    Java

Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

node-facenet - Solve face verification, recognition and clustering problems: A TensorFlow backed FaceNet implementation for Node

  •    TypeScript

A TensorFlow backed FaceNet implementation for Node.js, which can solve face verification, recognition and clustering problems. FaceNet is a deep convolutional network designed by Google, trained to solve face verification, recognition and clustering problem with efficiently at scale.




cnn-face-recognition - Facial Keypoints Detection & Recognition

  •    Python

Detection and recognition of Human Faces in context of group-video conferencing, recording meetings, class-activities. Used for the purpose of automating the attendance process. Refer to code for individual usage.

FaceDetection - C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks

  •    C++

This is a C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now. Edit Makefile to set CAFFE_ROOT, MXNET_ROOT or TENSORFLOW_ROOT to the right path in your machine. For example : CAFFE_ROOT=/usr/local/AID/Caffe-HRT/.

tensorflow-mtcnn - C++ and python Inference only for MTCNN face detector on Tensorflow

  •    C++

MTCNN is one of the best face detection algorithms. Here is inference only for MTCNN face detector on Tensorflow, which is based on davidsandberg's facenet project, include the python version and C++ version. There are two version for C++.

faceanalysis - Pipeline for face detection and matching

  •    Python

More information on customizing and implementing new face detection algorithms can be found here. Register your user by making a POST request to /api/v1/register_user with a username and password.


compreface-python-sdk - Python SDK for CompreFace - free and open-source face recognition system from Exadel

  •    Python

CompreFace Python SDK makes face recognition into your application even easier. Before using our SDK make sure you have installed CompreFace and Python on your machine.






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