Official repo for VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset..
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Apr 15, 2025 - Python
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Official repo for VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset..
Resources for understanding the output of MediaPipe's Face Mesh.
In this project, I am creating a facial mesh using opencv and mediapipe. It can detect a face even with a face mask.
MediaPipe Face Mesh to OBJ Converter for Blender - Convert 2D photos to 3D face models
Detectors World... See the World Through Code. Build Computer Vision applications in easy and handy way.
This project utilizes MediaPipe and OpenCV to perform real-time face mesh detection using a webcam feed. The program captures video frames and processes them using the MediaPipe Face Mesh module to detect facial landmarks and contours.
Computer vision projects using Mediapipe and OpenCV
đź› Convert 2D face images to 3D OBJ models effortlessly with MediaPipe's facial landmarks for use in Blender and other 3D software.
This is a python module to include face-mesh
Convert your face to a Pixel Art!
Real-time face mesh detection project using OpenCV and MediaPipe in Python, providing detailed 3D facial landmark tracking and visualization capabilities.
Projeto de reconhecimento facial inclusivo criado para o SAGA Senai, com foco em acessibilidade, segurança da informação e controle de acesso inteligente. O sistema utiliza captura de amostras faciais, validação em tempo real e interface web responsiva.
This is a program that can be used to authenticate face using OpenCV
A face mesh detection sample prototype with cvzone and OpenCV-python
When someone opens their mouth, it gets detected instantly!
AetherLens-FaceMesh is a real-time 3D facial geometry tracking system built with MediaPipe and OpenCV. It maps 478 landmarks and tracks facial blendshapes (expressions) in real-time, providing a high-fidelity foundation for augmented reality filters, virtual avatars, and facial analysis applications.
Analyze network traffic in real time with a Rust-powered engine, scalable .NET backend, and Next.js dashboard for security anomaly detection.
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