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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
Search: #limestone
@amazingeo · Post #615 · 02/05/2026, 08:31 PM
🌍 The world’s largest karst region is in southern China, where vast limestone hills, towers, and deep caves house rare species found nowhere else on Earth, including blind fish and giant salamanders. ✨ #karst⚡#caves⚡#limestone⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels
@amazingeo · Post #355 · 10/10/2025, 03:31 PM
🌍 The Pine Island karst in Madagascar features limestone pinnacles called "Tsingy," so sharp and dense that large areas are nearly impassable, hiding unique plants and animals. ✨ #karst⚡#caves⚡#limestone⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels