Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.

An Implementation of VTuber (Both 3D and Live2D) using Python and Unity. Providing face movement tracking, eye blinking detection, iris detection and tracking and mouth movement tracking using CPU only.

🎥🤟 8 minimalistic templates for tfjs mediapipe handpose and facemesh

3D face landmark detection using MediaPipe's Facemesh and Iris tracking models

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

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

ComfyUI Nodes Capable of Real-Time

Realtime Face Effects in Browser using mediapipe and three js.

Gaze tracking

Free Face Tracking Module for facial motion capture in Blender

Mapping Mediapipe's 52 blendshapes to FLAME's expression coefficients and poses.

An application that allows you to control your avatar's face in VRChat using your real face.

Iris tracking MediaPipe Video Tutorial Source code

Python scripts using the Mediapipe models for Halloween.

This project detects eye blinks in real-time using Eye Aspect Ratio (EAR) and MediaPipe's facial landmark detection. It draws eye landmarks, calculates the EAR, and plots the results in real-time.

Wraps MediaPipe FaceMesh inside electron and serves the detected parts via MaxAPI.

A MediaPipe Solver library, inspired of kalidokit

A MediaPipe Solver library, converting Moetion (inspired by Kalidokit) for use in Unity

Building of Mediapipe Facemesh into an easily usable iOS XCFramework

Python, OpenCV based virtual try on for makeup (lip colour, blush, foundation prolly eyewear too) no not eye-wear

Open-source VTubing software experiment powered by Google Mediapipe Face and Unity3D.

Обнаружение точек лица, рук и всего тела с использованием DL алгоритмов

Crop out (and optionally remove background and correct roll of) faces in an image. Implements a custom pipeline using Mediapipe's FaceDetection and FaceMesh networks

Resources for understanding the output of MediaPipe's Face Mesh.

This project is for human emotion detection using mediapipe facemesh data.

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.

Mediapipe Face Mesh

A real-time 3D head-tracking demo that creates a realistic "window into a virtual world" effect using your webcam. Built with Three.js and MediaPipe FaceMesh.

Web synthesizer with face tracking control