3dlg-hcvc/minsu3d
MINSU3D: MinkowskiEngine-powered Scene Understanding in 3D
MINSU3D helps researchers and engineers analyze 3D point cloud data from scanned indoor environments. It takes raw 3D scans, such as those from a LiDAR scanner or depth camera, and outputs detailed segmentations of individual objects within the scene, including bounding box predictions. This is useful for anyone working on robotics, augmented reality, or spatial computing applications that require understanding and interacting with physical spaces.
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Use this if you are a researcher or developer working with 3D point cloud data and need to accurately identify and segment individual objects within complex indoor scenes.
Not ideal if you are looking for an out-of-the-box application for end-users, or if your primary focus is on 2D image analysis.
Stars
42
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jun 24, 2024
Commits (30d)
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