Detect poses in real-time video
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Create a video using aligned poses from an image and a dance video
Generate dance pose video from aligned pose
Evaluate and improve your yoga pose accuracy
Evaluate and pose a query image based on marked keypoints and limbs
Visualize pose-format components and points.
Analyzez une vidéo de danse et affichez les poses 3D
Showcasing Yolo, enabling human pose detection
Detect and estimate human poses in images
Detect objects and poses in images
Testing Human Stance detection
Generate detailed pose estimates from 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.