Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

这是一个facenet-pytorch的库，可以用于训练自己的人脸识别模型。

PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"

FaceNet for face recognition using pytorch

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.

这是一个利用facenet和retinaface实现人脸识别的库，可以进行在线的人脸识别。

Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目，提供一个小型数据集用作验证，使用三元组损失函数(Triplet loss)提升准确率和泛化能力，对FaceNet进行了一种实现。

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Using pytorch: yolov5+facenet+svm

Real time face recognition Using Facenet , pytorch, Tensorflow

Paper To Code implementation of Facenet in native pytorch on Dog Dataset

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pytorch实现实时人脸识别，使用opencv+facenet+mtcnn+knn

facenet-pytorch + DeepSORT

A PyTorch implementation of the Facenet model for face recognition. A port of facenet-darknet-inference to PyTorch.

Train FaceNet model with face masked augmentation on Pytorch.

Welcome to the AI Pet repository! This project aims to create a virtual pet powered by AI technologies. The pet can detect its owner using facenet_pytorch, detect the owner's emotions with deepface, and communicate with the owner using dialoGPT.

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A robust pipeline for detecting and recognizing faces in video footage using YOLOv8 for detection and FaceNet-PyTorch for recognition, supporting real-time processing. Ideal for video surveillance and identity management.

基于PyTorch和MTCNN人脸检测器、FaceNet人脸识别模型的demo，后续用于考勤系统

Inferencing on facenet model implemented in pytorch.

基于Pytorch训练的Facenet模型，在SylixOS下使用ncnn前向推理进行人脸识别，并使用Qtcreator开发GUI界面

https://arxiv.org/pdf/1503.03832.pdf - Pytorch

Face recognition using Facenet, SVM, MTCNN and PyTorch. Face detection, feature extraction and training for custom datasets.

numpy实现普通和卷积神经网络 pytorch实现手写数字和人脸识别facenet

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A FaceRecognition module wrote with facenet_pytorch and Django as web framework

Fine tune Facenet-pytorch with custom dataset

Biomethrical identification terminal using facenet-pytorch and jetson nano

Face retrieving with numpy/cupy, feature extracting by facenet-pytorch