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Source channel @githubtrending · Post #15062 · Aug 15

#python#mllm#point_clouds#scene_understanding#spatial_intelligence SpatialLM is a powerful 3D language model that turns complex 3D point cloud data from videos, RGBD images, or LiDAR into clear, structured 3D scene layouts showing walls, doors, windows, and objects with labels. It works without needing special equipment and can detect user-specified object categories. This helps you understand and analyze indoor spaces better, useful for robotics, navigation, and 3D design. You can run it on your data, visualize results, and even customize detection tasks easily, making 3D scene understanding more accessible and flexible for many applications. https://github.com/manycore-research/SpatialLM

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Libreware

@libreware · Post #1185 · 09/26/2023, 11:04 PM

Meshenger is a P2P Android phone app that started out as a demo for community mesh networks. Meshenger started out as an idea to promote off the grid mesh networks and has now reached its initial goal. In this talk I will talk about the idea behind it, the story how it came to be and of course how it works. https://media.ccc.de/v/camp2023-57107-meshenger #P2P#Meshenger#Mesh#MeshNetwork#ChaosComputerClubBerlin #CCCde