Face recognition using Tensorflow

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

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.

A simple implementation of facial recognition using facenets for humans 🧔 🔍

Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.

A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

Face-recognition using Siamese network

Executable code based on Google articles

人脸识别算法，结合facenet网络结构和center loss作为损失，基于tensorflow框架，含训练和测试代码，支持从头训练和摄像头测试

A framework for creating and using a Face Recognition system.

face detection, verification and recognition using Keras

Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks

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

This is a Human Attributes Detection program with facial features extraction. It detects facial coordinates using FaceNet model and uses MXNet facial attribute extraction model for extracting 40 types of facial attributes. This solution also detects Emotion, Age and Gender along with facial attributes.

A small-scale flask server facial recognition system, using a pre-trained facenet model with real-time web camera face recognition functionality, and a pre-trained Multi-Task Cascading Convolutional Neural Network (MTCNN) for face detection and cropping.

Build personalized machine learning models for Tinder using Python

🖼️ PortraitStylization - A Pytorch style transfer algorithm optimized for human faces. Based on the paper "A Neural Algorithm of Artistic Style" (https://arxiv.org/abs/1508.06576)

Computer Vision project that detects emotion, age and gender after detecting faces.

Deepfakes Video classification via CNN, LSTM, C3D and triplets [IWBF'20]