Detect poses in real-time video
Estimate 3D character pose from a sketch
Generate detailed pose estimates from images
Detect 3D object poses in images
This app is used for Human pose Detection
Detect and highlight key joints in an image
Track chicken poses in real-time
Evaluate and improve your yoga pose accuracy
A visual scorer of two dance videos
Analyze body and leg angles in images
Synthpose Markerless MoCap VitPose
Detect objects and poses in images
Detect and visualize poses in videos
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.