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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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Universe Mysteries 🪐

@cosmomyst · Post #437 · 10/17/2025, 03:21 PM

🪐 Between Earth and our Moon lies a distance of about 384,400 kilometers—so vast that you could fit all the planets of our solar system side by side in that gap, with room to spare. When Apollo 11 traveled this stretch in 1969, it took the crew about three days to cross the silent gulf between worlds, showing that even space close to home is far larger than it appears from the ground. ✨ #spacedistances⚡#apollo11⚡#moon⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space 👉subscribe Universe Mysteries 👉more Channels ​

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