Track body poses using a webcam
Create a video using aligned poses from an image and a dance video
Detect and highlight key joints in an image
Play Solfeggio tones to enhance well-being
Estimate human poses in images
Detect objects and poses in images
Transform pose in an image using another image
Track chicken poses in real-time
Detect and pose estimate people in images and videos
Detect and annotate poses in images
Upload and verify front, side, and back pose images
Estimate 3D character pose from a sketch
Analyzez une vidéo de danse et affichez les poses 3D
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.