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.
Core framework for cuvis-ai: Node base class, pipeline graph, typed ports, gRPC API, training orchestration, and plugin system
Pluggable hyperspectral DataModules (cu3s + COCO, TIFF + paired-PNG) for the Cuvis.AI ecosystem
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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