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Source channel @githubtrending · Post #15062 · Aug 15

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#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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Nature Travel Vacation

@NatureTravelVacationPictures · Post #739 · 04/18/2019, 12:30 AM

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🌿❤️✨🍃 Baby Koala😍 #Koala#Wildlife Join Us ✅🔜@Discover_Nature 🍃🍃🍃🍃🍃🍃🍃🍃🍃🍃🍃🍃🍃

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Lsposed Modules Updates Tracker

@lsposed_Modules_Updates_Trackers · Post #6203 · 03/16/2026, 11:30 AM

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#Show#Koala 模块：io.github.bikekoala.aa.display.beta 简介：Show any app in Android Auto using a VirtualDisplay-based mirroring approach. 版本：2100-0.22#16.1+ 更新时间：2026/03/16 19:01:32 更新日志： Updated support for Android Auto 16.1 Added support for portrait-oriented head units Added support for custom launchers Introduced an English settings interface @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot

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