Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

Automated face warping tool.

Face detection and recognition using golang

🛣️基于YOLOv8的智慧校园人脸识别和公路汽车检测

Dlib/dlib compiled from source for Python 3.9

A set of scripts to convert dlib's face recognition network to tensorflow, keras, onnx etc

The Pupil Detection AI ML program is used to get the co-ordinates of eyes and detect the pupil region. It only works with human face images.

Sort photos based on the criteria of "Me with my fav people x,y,z" out of bunch of group photos/random photos

This is a small fun project which uses face recognition techniques to separate images from a large dataset into images of different people according to faces.

Face Recognition based Attendance Management System with a Flask web application and Power BI attendance dashboard.

🧐 Python projects 👽 keep updating

This is "ready from box" face recognition app, based on Mediapipe, dlib and face_recognition modules.

Tracking staff activities with multiple camera support by using yolo for the head, and using dlib for face recognition.

A machine-learning program designed to detect faces in a photo and then identify the person

Face Recognition using face_recognition module and face encoding in Python

A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.

Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto

This project uses the dlib library for facial recognition and the OpenCV library for webcam and video processing. Feel free to use and modify the code for your own projects!

The Online Exam Proctor System is a computer vision-based project designed to ensure the integrity and fairness of online exams. As the popularity of remote learning and online education grows, the need for a robust proctoring system becomes crucial to prevent cheating and maintain the credibility of the examination process.

A Voice Enabled Facial Recognition Software developed on Python with help of machine learning libraries and Open Face Convolutional Trained Neural Network. This application can be used for attendance marking on the cloud and can be installed onto Rasberry Pi with a camera for recognizing students and marking their attendance.