In this project, we present ways to improve reliability of proctoring by generating plots of each parameter measured during the online evaluation.

MOFY: MOsaic For You 실시간 불특정 인물 비식별화

High Performance Face Recognition With Green Box! Face Recognition Pro 2020

This is a Python 3 based project to perform fast & accurate face detection with OpenCV face detection to videos, video streams, and webcams using a pre-trained deep learning face detector model shipped with the library.

FACE DETECTION AND ATTENDENC-- Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier

Face identification algorithms focus on the identifiction of frontal human faces. It is analogous to image detection in which the image of a person is matched bit by bit. Image matches with the image stores in database. Any facial feature changes in the database will invalidate the matching process. It's mostly use for the security.

Open Source Face Detection And Face Search Solution

I have done face detection project using self trained weights with the help of colab GPU , to visit my project click https://github.com/vishnu322010326030/face_detection.git

A list of python projects using computer vision to detect hands, face, and body posture.

A real-time face detection system using Python, OpenCV, and Haar cascades. The system utilizes the webcam to capture video frames, detect faces, and highlight the detected faces with bounding boxes. The system is designed to run cross-platform on Windows, Linux, and macOS, making it easily accessible to a broad audience.

Very simple tool for face detection on Image or Video (realtime support)

Face Detection and Recognition using Python and Dlib

Real-time face and eye detection with optional sunglasses overlay using OpenCV.

FacePoseFusion integrates real-time face detection and pose estimation using MediaPipe. It captures video input, processes each frame to overlay facial and body landmarks, and saves the output as an MP4 file. Ideal for applications in gaming and AR, it showcases advanced machine learning in practical use.

Reimplementation of MTCNN with the whole pipeline making full use of PyTorch and Torchvision.

This project perform Face detection, Background Remove and Streamlit GUI

An advanced real-time detection system capable of recognizing multiple objects, hands, and faces within a video stream. (Could be also done on a Pre-recorded video)