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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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Amazing Geography 🌍

@amazingeo · Post #480 · 11/27/2025, 08:31 PM

🌍 Some biodiversity hotspots, like the Cape Floristic Region in South Africa, pack over 9,000 plant species into just a tiny area—nearly 70% found nowhere else on Earth. ✨ #biodiversity⚡#plants⚡#hotspots⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels ​

Amazing Geography 🌍

@amazingeo · Post #628 · 02/12/2026, 08:31 PM

🌍 The Western Ghats in India hold more amphibian species than all of Europe, packed into a narrow mountain strip. This biodiversity hotspot shelters ancient frogs found nowhere else on Earth. ✨ #biodiversity⚡#hotspots⚡#amphibians⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels ​

Amazing Geography 🌍

@amazingeo · Post #328 · 10/03/2025, 06:31 PM

🌍 New species are still being discovered in biodiversity hotspots like the Eastern Himalayas, where over 350 new plants and animals have been found in just two decades. ✨ #hotspots⚡#species⚡#discovery⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels ​