This is a place to collaborate on projects, that are being build upon the Cuvis SDK and work with Cubert Hyperspectral Cameras. These open-source repositories are aimed at professionals, researchers and students alike. The Cuvis-SDK repository contains everything you need to connect and integrate Cubert hyperspectral cameras into your processing pipeline in various programming languages. Even without a camera, you can start straight ahead with the demo data provided.
Cuvis.AI is an open-source, extensible framework for building modular AI pipelines that process, analyze, and deploy hyperspectral video data in real-time applications.
EfficientAD for cuvis-ai: student-teacher + autoencoder anomaly maps of an RGB frame (anomalib 2.1.0 model)
SteerViT for cuvis-ai: prompt-steered DINOv2 patch features and a zero-shot prompted anomaly map
HSI-PatchCore for cuvis-ai: memory-bank anomaly detection on spectra or dense feature grids, score calibration and fusion
Core framework for cuvis-ai: Node base class, pipeline graph, typed ports, gRPC API, training orchestration, and plugin system
This organization has no public members. You must be a member to see who’s a part of this organization.
Loading…