Detect poses in real-time video
Small Space to test ViTPose
Visualize pose-format components and points.
Evaluate and improve your yoga pose accuracy
Generate detailed pose estimates from images
Estimate 3D character pose from a sketch
Mediapipe, OpenCV, CVzone simple pose detection
ITS PRETTY
Create a video using aligned poses from an image and a dance video
Combine and match poses from two videos
Analyze body and leg angles in images
Detect human poses in videos
Transform pose in an image using another image
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.