Detect poses in real-time video
Detect human poses in videos
Play Solfeggio tones to enhance well-being
Evaluate and improve your yoga pose accuracy
Analyze images to detect human poses
Estimate human poses in images
Detect human poses in images
Synthpose Markerless MoCap VitPose
Generate dance pose video from aligned pose
Upload and verify front, side, and back pose images
Create a video using aligned poses from an image and a dance video
This app is used for Human pose Detection
Showcasing Yolo, enabling human pose detection
Live Ml5 Facemesh P5js is a real-time facial mesh detection tool built using ml5.js, Facemesh, and P5.js. It leverages machine learning to detect and analyze facial features in live video feeds, enabling applications like facial recognition, emotion detection, and interactive installations.
What is Live Ml5 Facemesh P5js used for?
It is commonly used for facial recognition, emotion detection, and interactive art projects.
Can it work without a webcam?
No, it requires a video input, but you can use pre-recorded video files if a webcam isn't available.
Is the tool reliable in low-light conditions?
Performance may degrade in low-light conditions, as the model relies on clear visual features for accurate detection.