openface
There are 76 repositories under openface topic.
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
serengil/tensorflow-101
TensorFlow 101: Introduction to Deep Learning
vsyw/Keras-OpenFace
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
richmondu/libfaceid
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
NumesSanguis/FACSvatar
An Open Source Modular Framework From Face to FACS Based Avatar Animation (Unity3D / Blender)
satinder147/Attendance-using-Face
Face-recognition using Siamese network
thnkim/OpenFacePytorch
PyTorch module to use OpenFace's nn4.small2.v1.t7 model
aakashjhawar/face-recognition-using-deep-learning
Identify faces from video and images using OpenCV and Deep Learning
tue-robotics/image_recognition
Packages for image recognition - Robocup TU/e Robotics
AiCure/open_dbm
Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
Golbstein/keras-face-recognition
Who is your doppelgänger and more with Keras face recognition
sksq96/cnn-face-recognition
Facial Keypoints Detection & Recognition
roshansridhar/Multimodal-Sentiment-Analysis
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
Astrotomic/php-deepface
A PHP adapter for the python deepface framework.
keyurr2/libfaceid
libfaceid is a research framework for fast prototyping of face recognition solutions. It seamlessly integrates multiple face detection, face recognition and liveness detection models. It also includes face landmark detection, age detection, gender detection, emotion detection, wakeword/triggerword/hotword detection and text-to-speech synthesis for voice capability).
UoA-eResearch/openface_mass_compare
An openface script that runs a REST server. Posted images are compared against a large dataset, and the most likely match is returned. Works with https://hub.docker.com/r/uoacer/openface-mass-compare/
jonaphin/facenet
Face recognition using Tensorflow
MannanMalik3998/Automatic-attendance-system-using-facial-recognition
Automatic attendance system using facial recognition
SeonghoBaek/RealtimeCamera
Open DRUWA - Open Deep Realtime User Welcoming Assistant
AnshulSood11/Engagement-Level-Prediction
Engagement Intensity Prediction in Real TIme
aagrawal207/AutoAttendance
Taking attendence by face recognition using OpenCV libraries
forensic-toolkit/recops
recops is a facial analysis framework, an AI forensic toolkit designed specifically for visual investigations and analysis workflows in OSINT research.
interaction-lab/openface_ros
ROS bindings for OpenFace
barniekim/cpp-face-morph-server
A server-side (TCP server) face morphing engine implemented by Delaunay Triangulation in C++ with OpenFace, OpenCV, and Boost.
ditoec/openface2_ros
ROS bindings for OpenFace 2.1.0
gavazquez/GazeTracker
Artificial intelligence tracker for OpenTrack
aditi1695/AttendanceSystem
An attendance system that uses face recognition to recognize people and marks them present or absent accordingly.
HIRO-group/openface_ros
Repository that hosts software libraries and ROS packages for gaze and emotion detection, performed at the Human Interaction and Robotics Lab in University of Colorado at Boulder.
05rs/Face-Recognition
End to End Face-Recognition follows the approach described in FaceNet with modifications inspired by the OpenFace project. Semi-hard triplet loss and online semi-hard triplet generator are used for further fine-tuning.
Hyun-je/Openface_Face_Embedding-swift
Openface face embedding example written only in Swift (without OpenCV)
justint/cs160-facedetection
Face detection web application, draws delaunay triangles to tracked face
subhamdas-github/opencv-dnn-face-gender-age-recognition
In this repository, I am using OpenCV to perform face recognition. To build this face recognition system, I first perform face detection, extract face embeddings from each face using deep learning, train a face recognition model on the embeddings, and then finally recognize faces in both images and video streams with OpenCV.