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.

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.

Rope skipping real-time counting

action recognition using mediapipe and lstm networks

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

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.

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

Offline Body Movement Analysis in the Browser

This library removes the jitter and smooth the landmarks coming from Mediapipe

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.

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.

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.

YOLOv5-OpenPose designed for CPU

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.

Build an AI fitness counter and timer app with our end-to-end demo using QuickPose iOS SDK for Pose Estimation/Detection.