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Network diagrams that update themselves
Free, fast semantic segmentation of 3D point clouds.
OpenPointClass is an open-source ai 3d project by uav4geo (uav4geo/OpenPointClass on GitHub). It has 202 GitHub stars and 31 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 11 June 2026.
Get the source.
Follow the C++ build instructions.
Provide LAS/LAZ or similar data.
Receive semantically segmented output.
Labels every 3D point.
Efficient C++ implementation.
Handles large clouds.
Built for drone mapping data.
AGPL-3.0, free to use.
From drone-mapping specialists.
Download the source and enter the folder.
git clone https://github.com/uav4geo/OpenPointClass.git
cd OpenPointClassSet up CMake.
cmake -B build -DCMAKE_BUILD_TYPE=ReleaseBuild the classifier.
cmake --build build --parallelFree semantic segmentation of 3D point clouds, at uav4geo/OpenPointClass.
Points classified into ground, building, vegetation, and other classes.
Standard point-cloud formats; see the README.
Yes. AGPL-3.0 licensed.
Drone mappers, surveyors, and photogrammetry users.
Network diagrams that update themselves
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