mediapipe-pose

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.

Full body pose estimation to be used with HMD (Quest2) built in Unity

ComfyUI Nodes Capable of Real-Time

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.

AI Form Checker 2026: Perfect Your Squat, Deadlift & Bench Press Form

Rope skipping real-time counting

Python scripts using the Mediapipe models for Halloween.

This repository contains code for collecting pose data of various yoga poses using the MediaPipe Pose model. The collected data includes the angles of different body joints in each yoga pose.

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

action recognition using mediapipe and lstm networks

What is meant by pose estimation? Pose estimation is a computer vision task that enables machines to detect human figures and understand their body pose in videos and images. It helps machines determine, for example, where the human knee is located in an image.

ergoSmart is an AI-powered posture coach using React.js, TensorFlow.js, and MediaPipe Pose for real-time webcam-based posture analysis and personalized feedback.

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.

YOLOv5-OpenPose designed for CPU

A self contained example demonstrating how to use Mediapipe Pose Landmarker with Max's `jweb`

This repository features projects that track physical activities using computer vision, integrating OpenCV with MediaPipe's Pose Estimation module and YOLOv8 for object detection to count repetitions or actions from video inputs.