cuvslam-onboard

Description

Build, install, and run NVIDIA cuVSLAM and PyCuVSLAM from source or wheels. Covers environment setup, dataset preparation, and running examples for all tracking modes (stereo, mono, mono-depth, stereo-inertial, multi-camera, and Multisensor) and SLAM (mapping, localization, loop closure). Use when asked to: build cuVSLAM, install PyCuVSLAM, set up cuVSLAM environment, run cuVSLAM examples, prepare KITTI/EuRoC/TUM datasets, run visual odometry, set up live camera tracking (RealSense/ZED/OAK-D/Orbbec), run cuVSLAM in Docker, or use cuVSLAM C++ tools. A reusable SKILL.md agent skill by nvidia-isaac.

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• 1,719 stars
• SKILL.md package