[NeurIPS 2023] "A Single 2D Pose With Context is Worth Hundreds for 3D Human Pose Estimation" official implementation.

PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose Estimation

This is a real-time pose estimation project that detects 33 human body landmarks in images, videos, and live webcam streams. Built using MediaPipe, OpenCV, and Streamlit, this project provides an interactive and efficient way to analyze human movements using Blaze Pose detection method.

Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Deep Learning for Human Pose Estimation leverages neural networks to identify body joints from images and videos, enabling accurate motion analysis for healthcare, sports, and human-computer interaction.

This project focuses on real-time human pose estimation for sports and fitness applications. It detects body landmarks using MediaPipe and OpenCV to monitor exercises like push-ups and planks. Ideal for gym-goers and fitness tracking.

Fault estimation for Skeleton detection using multiple RGBD cameras.

This repo contains the Integration of chico Dataset with Dlow PoseEstimation Machine Learning Model