~/aicu labs
Hackathon builds, research demos and prototypes from the AICU team. Some become products, most don't. Every experiment comes with a write-up of what we tried and what we learned.
How do you build an MCP server, and what does it cost? We expose YOLO11 detection as MCP tools with the official Python SDK 2.x, then measure stdio overhead (0.6 ms), cold start (1.4 s) and why a base64 image as a tool argument costs 71,000+ tokens.
Which OSNet model should you use for person re-identification, and how fast is it? We load torchreid model-zoo weights, match YOLO11 person crops, export to ONNX and time four variants on a laptop CPU, with code you can run.
A hands-on look at using NVIDIA's Kimodo motion-diffusion model to synthesize rare gait patterns; and why the free per-frame foot-contact labels it hands back are the more interesting part for anyone training biomechanical models. Clinical gait datasets have
