Detect poses in real-time video
Generate dance pose video from aligned pose
Track chicken poses in real-time
Play Solfeggio tones to enhance well-being
Create a video using aligned poses from an image and a dance video
Analyze images and videos to detect and visualize human poses
Visualize pose-format components and points.
Detect and pose estimate people in images and videos
Small Space to test ViTPose
This app is used for Human pose Detection
Detect and label poses in real-time video
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Estimate human poses in images
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.