Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Testing multithreaded body tracking inside of Unity using Google MediaPipe Pose Python bindings.
Creating a multi-threaded full body tracking solution supporting arbitrary humanoid avatars for Unity using Google Mediapipe Pose Python bindings.
Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.
The purpose of this project is to detect the squat angles which will be helpful for the fitness instructors to provide corrective advice where appropriate.
Python scripts using the Mediapipe models for Halloween.
action recognition using mediapipe and lstm networks
Offline Body Movement Analysis in the Browser
This library removes the jitter and smooth the landmarks coming from Mediapipe
Обнаружение точек лица, рук и всего тела с использованием DL алгоритмов
A self contained example demonstrating how to use Mediapipe Pose Landmarker with Max's `jweb`
This is AI personal trainer demo. İt detects squad exercise and counts it for sportsman. I use meadiapipe library to detect the keypoints of human.
Based on the Kinect depth camera and MediaPipe, real-time reasoning of the joint activity of each part of the human body, and output a detection report.
In this project, its own AI powered gym implementation was implemented using AI Powered Pose estimation. MediaPipe and Python were used to detect different posts with a webcam. Body up and down gym practice was performed using Mediapipe pose points.
This little script lets you plot the pose world landmarks from MediaPipe in neat 3D diagram.
Your AI-powered personal trainer for perfect technique.
🧘♂️🤖 Flask, OpenCV, and MediaPipe power this yoga project for real-time pose detection. Using a webcam feed, it dynamically classifies poses with MediaPipe, while Flask enables web deployment. OpenCV manages video streaming and image processing, creating an interactive platform for yoga enthusiasts to practice effectively.
A real-time system to classify single-object behaviour. Using MediaPipe Pose and Tensorflow with LSTM model to not only inference on trained model, but also to train.
control go1 pro robot using hand/body poses
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