Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition
MediaPipeのPythonパッケージのサンプルです。2024年9月1日時点でPython実装のある15機能について用意しています。
Open source 2D/3D face and body analysis library with toolkit for ML model retraining and generalization improvement.
使用ONNXRuntime部署3D人脸重建,人脸Mesh,人头姿势估计,包含C++和Python两个版本的程序
Resources for understanding the output of MediaPipe's Face Mesh.
Remote photoplethysmography (rPPG) is a contactless method to monitor human cardiac activities by detecting the pulse-induced subtle color variations on the human skin surface using a multi-wavelength RGB camera. By measuring the variance of red, green, and blue light reflection changes from the skin, as the contrast between specular reflection ...
Open source 2D/3D face and body analysis library with toolkit for ML model retraining and generalization improvement.
In this project, I am creating a facial mesh using opencv and mediapipe. It can detect a face even with a face mask.
Real-time gesture recognition system using OpenCV and MediaPipe for detecting hand gestures, facial expressions, and body postures through computer vision.
A python class consisting of all mediapipe funciton
Convert your face to a Pixel Art!
A computer vision module based on opencv & mediapipe.
Medical Face Mask Application Tool
Face and iris detection using ONNX models in Python based on MediaPipe
Draw in the air using your hands and clear the canvas with your mouth — real-time gesture-controlled painting app built with Python, OpenCV, and MediaPipe.
This is a python module to include face-mesh
Computer Vision Helper Package
Meshify is a real time face mesh detection application that maps facial landmarks with high precision. It overlays a mesh on the face using a live camera feed.
🚲 PedalAI — An AI-powered cyclist safety system using YOLO, Optical Flow, Face Mesh, and real-time sensor data to detect threats, prevent accidents, and alert riders in real-time. Features drowsiness detection, fall alerts, and predictive maintenance with mobile app support.
Monitor viewing angle using Mediapipe Face mesh
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