Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
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Updated
Feb 21, 2024 - Python
Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit
Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models
实现常用基于深度学习的人脸检测算法 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg
A facial recognition based automated attendance system built using OpenCV and Django.
[Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild
Simple project to detect if a person is wearing a mask
Make faces blurred for videos using DNN
Light Face Detection using PyTorch Lightning
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
face-detection-yolov8
pytorch实现的Pyramidbox 人脸检测模型, 对原来代码的部分模块进行了修改,更简洁高效
Code of Face-MagNet that was published in WACV18
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