There are 4 repositories under facedetection topic.
:fire: :fire: :fire: SmartOpenCV是一个OpenCV在Android端的增强库,解决了OpenCV Android SDK在图像预览方面存在的诸多问题,且无需修改OpenCV SDK源码,与OpenCV的SDK解耦
Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)
Use Apple FaceID or TouchID authentication in your app using BiometricAuthentication.
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
[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.
Face Detection with Python using OpenCV
A re-implementation of mtcnn. Joint training, tutorial and deployment together.
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
Algorithm acceleration landing framework, let you complete the development of algorithm at low cost.eg: Facedetect, FaceLandmark..
Light Face Detection using PyTorch Lightning
With Viola android face detection library, you can detect faces in a bitmap, crop faces using predefined algorithm and get additional information from the detected faces.
Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models
OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
Make faces blurred for videos using DNN
Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit
Giriş Seviyesinden İleri Seviyeye Kadar Python ile Görüntü İşleme.. Nesne Tespiti, Nesne Takibi, Yüz Tespiti, Göz Algılama ve Göz Hareketleri Takibi, Beden Tespiti, El Hareketlerini Anlamlandırma, Şerit Takibi, Plaka Okuma vs. gibi resim, video ve gerçek zamanlı örnek uygulamalar
本项目是利用mtcnn网络和facenet网络实现了一个简单的人脸识别功能。整体流程大致如下:首先利用mtcnn网络进行人脸检测和人脸关键点(5个)提取;接着利用人脸关键点进行人脸校正(仿射变换);然后将校正之后的人脸图片送入facenet网络进行人脸特征(128维)提取;最后将提取到的人脸特征与底库中的人脸特征进行相似度计算(特征比对),完成人脸识别功能。
A lightweight face-recognition toolbox and pipeline based on tensorflow-lite
A face detection algorithm using Viola-Jones' rapid object detection framework written in Julia
face-detection-yolov8
[Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild
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
A facial recognition based automated attendance system built using OpenCV and Django.
Opencv Android SDK application for Deep Neural Networks to run on Android.
Attendance Management System
The project for applying Canvas to face makeup (Lipstick and FaceMask) using CameraX core library and detecting face using Google ML kit .
This is a simple web-based game that allows users to either upload an image or capture one using their device's camera. The captured or uploaded image is then classified by the system as either "beautiful" or "ugly" (for entertainment purposes only).