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.
Configurable U-Net (DynUNet) nodes for cuvis-ai: 2D, factorised 2.5D, and 3D hyperspectral segmentation, plus Dice and cross-entropy losses
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.
[ECCV2024] The Official Implementation for ''AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection''
Cuvis.AI reproduction of the InSpecScrap SWIR hyperspectral steel-scrap classifier (Gursch et al. 2026)
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
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