Track body poses using a webcam
Detect and estimate human poses in images
Create a video using aligned poses from an image and a dance video
Mediapipe, OpenCV, CVzone simple pose detection
Estimate 3D character pose from a sketch
Detect objects and poses in images
Generate detailed pose estimates from images
Analyze images to detect human poses
Detect human poses in images
Detect and label poses in real-time video
Generate pose estimates for humans, vehicles, and animals in images
Evaluate and pose a query image based on marked keypoints and limbs
Estimate camera poses from two images
Live ml5 PoseNet p5js is a pose estimation tool built using ml5.js and p5.js libraries. It is designed to track human body poses in real-time through a webcam feed. This tool leverages the PoseNet model to detect and analyze body poses, making it ideal for applications such as interactive installations, games, or fitness tracking.
What browsers are supported by Live ml5 PoseNet p5js?
Live ml5 PoseNet p5js works on most modern browsers, including Chrome, Firefox, Safari, and Edge, as long as they support WebGL and the WebCam API.
How accurate is the pose detection?
The accuracy depends on lighting, background, and the quality of the webcam. For best results, use a well-lit environment and a high-quality camera.
Can I use Live ml5 PoseNet p5js offline?
Yes, Live ml5 PoseNet p5js can run offline once the libraries are loaded, but it requires a webcam connection for pose detection.