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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.