A live demo of calculus-ego, my open-source pipeline for person-level visual content analysis. Upload a photo — or go live — and the model detects every person and labels them (gender, age, behaviour, activity, body display, location, accessories and more), drawn right on top of each one. Everything runs on a private GPU server on my LAN and is never stored.
Runs on a private LAN GPU server · Images are not stored
The original single-purpose demo: place a face in the frame and the model estimates a facial-attractiveness score from 1 to 10. Same private GPU server, nothing stored — just the number.
Run the demo to see an estimate.
Runs on a private LAN GPU server · Images are not stored
A short clip processed by the full pipeline: every person is detected and annotated frame by frame. (Friends intro, AI-upscaled, used here only as a sample.)