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

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.

🧐 Python projects 👽 keep updating

Face Recognition using face_recognition module and face encoding in Python

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

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

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

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.

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!

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

Get ready to activate Secure Access! This app uses face recognition and tracking on live video feed to only allow access to authorized personnel to access a device or premises.

Face Recognition Check-in System

A simple demonstration of offloading image processing operation to an SQL server

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.

The project takes the image from the real time camera with the opencv library. We can process this data with dlib and scan 68 points on our face.