mediapipe-face-detection

JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐

A simple demo of MediaPipe's ML solution in pure JavaScript

Real-time Face and Iris Landmarks Detection using C++

🤖 Web-based real time face and hand landmark detection using Mediapipe in a Next.js application

ComfyUI Nodes Capable of Real-Time

Project for face detection, face recognition, pencil sketch, animegan in image, video or real-time stream

Python scripts using the Mediapipe models for Halloween.

This project integrates MediaPipe Solutions with Node.js and Express for real-time computer vision tasks. It showcases examples of image segmentation, hand and face detection, and pose detection, with a combined example for all three types of landmark detection.

React PD-Meter App (measures distance between pupils) with MediaPipe Face Mesh - internship project (2023)

AI photobooth w/ filters, sharing, accessories, and drawing on Cloudflare Workers using Cloudflare KV, R2, Mediapipe for face detection.

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

Zooting: 내 얼굴과 닮은 동물 가면을 쓰고 미팅하자! 동물상 가면 미팅 서비스 -🏆SSAFY 10기 공통프로젝트 최우수상(1등)

Prevents you from touching your face while you think, work or relax.

Live perception of simultaneous human pose, face landmarks, and hand tracking in real-time on mobile devices can enable various modern life applications: fitness and sport analysis, gesture control and sign language recognition, augmented reality try-on and effects. MediaPipe already offers fast and accurate, yet separate, solutions for these tasks. Combining them all in real-time into a semantically consistent end-to-end solution is a uniquely difficult problem requiring simultaneous inference of multiple, dependent neural networks.

Here you can find every type of OpenCV projects to work with. Simply clone this project and get started with OpenCV.

Real Time Face and Forehead Tracking with Mediapipe

The smallest ever JavaScript library for Head Position and Facial Keypoints.

Face Detection Using OpenCV & Mediapipe With Artificial Intelligence.

Deep learning based human face, hand and body joints landmarks predictor. Do have a fun trial :)

Emotion detection