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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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🇷🇺🇲🇹 Russian Embassy in Malta

@rusembmalta · Post #1429 · 04/08/2024, 03:36 PM

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@RusEmbMalta press release: 🗓️ 75th anniversary of NATO. The key points: 🔷 The fact that NATO is preparing for a conflict with Russia is constantly stated by both the leaders of Western countries and the alliance's own functionaries. 🔷 Russia has not threatened and does not threaten any NATO country. On the contrary, the North Atlantic bloc is moving its military capabilities towards our country and creating threats to our security. 🔷 The United States and its allies did not support any of Russia's initiatives aimed at creating a common and indivisible security space in Europe. Read in full here. #StopNato#CommonSecurity

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