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.
Core framework for cuvis-ai: Node base class, pipeline graph, typed ports, gRPC API, training orchestration, and plugin system
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''
RF-DETR (Roboflow, Apache-2.0 tier) object detection as a cuvis.ai plugin node
EfficientAD for cuvis-ai: student-teacher + autoencoder anomaly maps of an RGB frame (anomalib 2.1.0 model)
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