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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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@amazingeo · Post #630 · 02/13/2026, 08:31 PM
🌍 Tokyo’s Shinjuku train station is the world’s busiest, with over 3.5 million passengers passing through daily. Its vast underground networks are so complex that some exits are kilometers apart. ✨ #urbanization⚡#infrastructure⚡#transit⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #87 · 08/21/2025, 03:12 AM
🌍 Tokyo’s rail system is so efficient that over 13 billion train trips are made each year within the city. This high-capacity network helps keep the world’s largest metropolitan area moving smoothly. ✨ #Tokyo⚡#transit⚡#urban⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍
@tokenpocket_channel · Post #1112 · 01/13/2024, 08:35 AM
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