Track body poses using a webcam
Analyze workout posture in real-time
Track chicken poses in real-time
Analyze golf images/videos to detect player and club poses
Detect and annotate poses in images
Mediapipe, OpenCV, CVzone simple pose detection
Detect and visualize human poses in images and videos
Draw hand and pose landmarks on live webcam feed
Create a video using aligned poses from an image and a dance video
Estimate camera poses from two images
Analyze body and leg angles in images
Generate pose estimates for humans, vehicles, and animals in images
Estimate 3D character pose from a sketch
Live ml5 PoseNet p5js is a real-time pose estimation tool built using ml5.js and p5.js. It leverages the PoseNet model to track human body poses through a webcam, enabling live and interactive pose detection. This tool is designed for real-time processing, making it ideal for applications like interactive installations, fitness apps, or gaming.
poseNet() to load the pre-trained model.What is the accuracy of PoseNet?
PoseNet provides high accuracy but varies based on lighting, pose complexity, and camera quality. Confidence scores are included for each joint to indicate accuracy.
Can it detect multiple people at once?
Yes, PoseNet can detect multiple poses in a single frame, making it suitable for group interactions.
How do I improve pose detection accuracy?
Ensure good lighting, stand in front of a simple background, and make sure the camera view is clear for better detection.