Perform Human Pose Estimation in OpenCV Using OpenPose MobileNet

This project is about counting curls and making sure elbows are tucked in using YOLOv7 for pose estimation. I'm using OpenCV and YOLOv7 to detect the human body parts and then estimate the angle between each three points using the dot product.

Dockerfile and instructions for human pose estimation implementation using Caffe, OpenCV 3.1.0 and Python 2.7.

AI Fitness Coach with BlazePose: Real-Time Exercise Feedback This project implements an AI-powered fitness coaching system using MediaPipe's BlazePose and OpenCV for real-time human pose estimation. Designed to address the lack of automated exercise guidance

Real time Human Pose estimation using Tensorflow and OpenCV

A real-time multi-person human pose estimation system using TensorFlow MoveNet Multipose (Lightning). Built with OpenCV for video and webcam inference, it detects and visualizes keypoints and skeletal connections with confidence-based filtering, optimized for speed and multi-person scenarios.

Deep Learning based Human Pose Estimation using OpenCV ( Python )

This GitHub repository contains code for Human Pose Estimation using OpenCV's deep learning module. It uses machine learning algorithms to recognize and estimate the position of specific points in the human body in an image or live video feed.

Code for running OpenPose code for human pose estimation using deep learning in OpenCV

Implementation for Human Pose Estimation using OpenCV and Python

The core of the system involves implementing pose estimation algorithms using OpenCV, which can accurately locate and track the positions of major joints in the human body. This involves utilizing pre-trained deep learning models, such as PoseNet or OpenPose, to efficiently identify keypoints.

Real time head pose estimation using MediaPipe and OpenCV, enabling dynamic tracking of a person's head orientation from video input for applications like augmented reality and human-computer interaction.

An interactive web application for real-time human pose estimation using a TensorFlow model, built with Streamlit and OpenCV. Features include image, video, and live camera pose detection, a user-friendly navigation menu, and a sidebar for enhanced usability.

AI-powered sports activity detection system using computer vision. Analyzes human movements and identifies sports activities through pose estimation. Built with Python, OpenCV, and machine learning. Real-time activity recognition for fitness and sports training applications.

A real-time human fall detection system using the YOLOv8 Pose Estimation model and OpenCV. This project uses body keypoints to detect whether a person has fallen, based on geometric heuristics from shoulder, hip, and ankle positions.

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Detect human poses in real-time using OpenPose and write the detected video or image using OpenCV.

the aim of project is to identifying and locating key points of the human body on webcam.This involves detecting joints and limbs and estimating their spatial relationships. It's used in various applications like action recognition, healthcare, sports analytics, security, AR/VR, and human-computer interaction.

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Implementation for Human Pose Estimation using OpenCV

👟(2021) The repository for Human Pose Estimation project, consisting of some opencv study materials and the simple real-world application using deep learning models implemented from scratch.

Human Pose estimation on still images using OpenCV and Python

"Real-time Human Pose Estimation using MediaPipe and OpenCV. This project demonstrates detecting and visualizing human body landmarks efficiently."

Streamlit application that performs human pose estimation using OpenCV. The app takes an image as input and estimates the pose of any humans in the image.

A modular Python suite for real-time human pose estimation and automated gesture alerts using YOLOv26 and OpenCV.

Human Pose Estimation using OpenCV and TensorFlow, with a Streamlit interface. Upload images, adjust keypoint detection thresholds, and visualize human body parts with skeletons. The app processes pose estimation and allows users to download the output image. Ideal for learning OpenCV and deep learning integration.

Real-Time Human Pose Estimation System using YOLOv8 and OpenCV. Detects and tracks 17 human body keypoints from live video with high-speed deep learning inference

Human Pose Estimation using OpenCV & MediaPipe This project detects human body keypoints in real-time using MediaPipe Pose and OpenCV. It efficiently tracks body movements based on the COCO topology, making it useful for applications like fitness tracking and gesture recognition. 🚀

Real-time human pose estimation in Python using Mediapipe and OpenCV. Supports video files and webcam input, with easy landmark extraction and modular code.