Face recognition using Tensorflow
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Updated
Jul 24, 2023 - Python
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 using Siamese network
face detection, verification and recognition using Keras
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.
Implementation of Facial Recognition System Using Facenet based on One Shot Learning Using Siamese Networks
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.
Executable code based on Google articles
Python SDK for CompreFace - free and open-source face recognition system from Exadel
Computer Vision project that detects emotion, age and gender after detecting faces.
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.
Realtime Facial recognition system using Siamese neural network
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.
即時人臉辨識(使用OpenCV與FaceNet)
Build personalized machine learning models for Tinder using Python
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