A Python tool to simplify a Mesh (With and Without Textures) to a specific Number of Faces using the MeshlabXML Library

In this project, I am creating a facial mesh using opencv and mediapipe. It can detect a face even with a face mask.

Face Mesh Detection of Static Image & Live Video Using Python

aiocv is a Python Library Used to Track Hands, Track Pose, Detect Face, Detect Contours (Shapes), Detect Cars, Detect Number Plate, Detect Smile, Detect Eyes, Control Volume Using Gesture, Read QR Codes and Create Face Mesh on Image/Video.

in this project build Face Mesh using python ( opencv_python , Mediapipe )

3D Face Modelling- Using 3D face modelling by detecting points and changing mesh | 3D | Augmented Reality| C#| Python

Face Tracker with Eye Detection is a Python computer vision project using OpenCV and MediaPipe Face Mesh to detect and track multiple faces in real time through a webcam. It draws facial mesh connections and highlights eye landmarks, demonstrating real-time AI-based facial tracking and visualization.

In this repository are some examples of applications in python using the midiapipe library to detect mesh of the human body like hands and faces.

This Project is a face mesh project and extensively uses opencv-python and mediapipe. This is the perfect way to learn image processing. NO GPU required! Just the CPU would work. Also can track all 468 points on your face. The IDs of each point can be inferred from the mediapipe's page. So what are you waiting for> Code your masks now! Happy Coding

In this Project Holistic Detection, it detect Left and Right Hand, Face Mesh, and Pose Detection using Libraries Opencv and Mediapipe in Python.

This repository contains a Python project that can be used to detect facial emotions. The project uses the MediaPipe face mesh API to detect face landmarks, and a simple multilayer perceptron to recognize facial emotions from the detected landmarks.

**Meshify** is a Python application for real-time face mesh detection using OpenCV, Mediapipe, and CVZone. This tool provides accurate facial landmark mapping, making it easy to customize and integrate into various projects. 🐙💻

GazeCraze is a modular Python application that uses computer vision and facial landmark detection to analyze user concentration in real-time. It leverages MediaPipe Face Mesh, OpenCV, and head/eye tracking techniques to infer gaze alignment and focus level from webcam video streams.

Face Mesh Detection using OpenCV Python

Face-Mesh using OpenCV and Mediapipe in python

Head Pose Estimation Using Python (MediaPipe "Face Mesh")

Real Time Face Mesh Detection using dejancv python package.

Python based Driver Drowsiness Detection system using Google Mediapipe Face Mesh

A Blender python script for generating a face mesh with UI calls and controlling the transformation of face features using variables.

A real-time face transformation system built using Python, OpenCV, and MediaPipe Face Mesh. This project detects facial landmarks in real time and overlays a captured face onto the detected face region.

Real-time face mesh detection project using OpenCV and MediaPipe in Python, providing detailed 3D facial landmark tracking and visualization capabilities.

A Python application that uses computer vision to perform real-time motion tracking with different modes: hand tracking, face mesh detection, pose estimation, and holistic tracking.

Real-time face mesh detection in Python using Mediapipe and OpenCV. Supports webcam and video file input, displays 468 facial landmarks, and provides modular, customizable code for facial analysis and AR applications.

Real-Time Blink Detection using OpenCV & MediaPipe — A Python-based system that uses face mesh landmarks, automatic calibration, motion filtering, and stability checks to count blinks with high precision. Ideal for drowsiness detection, eye fatigue monitoring, and HCI applications.

This Python script implements real-time drowsiness detection using OpenCV, MediaPipe Face Mesh, and Eye Aspect Ratio (EAR). It detects eye blinks and determines whether a person is active, drowsy, or asleep based on predefined thresholds. If the person appears drowsy or asleep for a certain duration, an alarm sound is triggered using winsound.

Real-Time Facial Emotion RecThis project demonstrates real-time facial emotion detection using Python, OpenCV, and Media Pipe’s Face Mesh. It captures live video from your webcam, detects facial landmarks, and infers the user’s emotion based on geometric features displaying both an animated avatar and an emoji label in real time

No description available

In this project, I am creating a facial mesh using opencv and mediapipe. It can detect a face even with a face mask.

A face mesh detection sample prototype with cvzone and OpenCV-python

A face mesh detection sample prototype with cvzone and OpenCV-python