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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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FC Bayern English

@FCBayernEN · Post #223981 · 01/28/2026, 02:56 PM

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FC Bayern (Instagram) Quick 𝒂𝒄𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏 before #PSVFCB🏃

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FC Bayern English

@FCBayernEN · Post #223977 · 01/28/2026, 02:55 PM

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FC Bayern (Instagram) ✨ Ready for #PSVFCB❓ Here are the stats and info ahead of our away game against PSV Eindhoven! ✨

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@FCBayernEN · Post #223990 · 01/28/2026, 02:56 PM

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FC Bayern (Instagram) 𝑰𝒎𝒑𝒓𝒆𝒔𝒔𝒊𝒐𝒏𝒔 𝒇𝒓𝒐𝒎 𝑬𝒊𝒏𝒅𝒉𝒐𝒗𝒆𝒏! 📸🚲🇳🇱#UCL#PSVFCB

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FC Bayern English

@FCBayernEN · Post #224081 · 01/29/2026, 10:53 PM

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FC Bayern (TikTok) Jamal 𝒉𝒂𝒑𝒑𝒚 = Alle 𝒉𝒂𝒑𝒑𝒚 🥰 Alle weiteren Interviews nach #PSVFCB seht ihr auf FC Bayern TV PLUS: Link in der Bio! 💬#FCBayern#Musiala

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