#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
🌍 In 2023, explorers finished mapping over 75% of the world’s seafloor in high detail, uncovering thousands of undersea mountains and canyons hidden beneath the oceans. ✨
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🌍 Over 80% of Earth’s ocean remains unmapped and unexplored by humans. Modern sonar and robotic submersibles are revealing new mountains, trenches, and species with every deep-sea journey. ✨
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🌍 The first map to show the Americas as a separate continent was made by German cartographer Martin Waldseemüller in 1507. It’s where the name “America” first appeared on a world map. ✨
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🌍 In 2022, explorers used sonar to map a hidden undersea volcano off Madagascar’s coast, revealing a peak 800 meters tall that was completely unknown before their expedition. ✨
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🌎 While mapping the ocean floor in 1947, researchers aboard HMS Challenger discovered the Mid-Atlantic Ridge, revealing Earth's largest mountain range hidden underwater. This seismic finding triggered the theory of plate tectonics—explaining how continents drift. The ridge stretches for over 16,000 kilometers beneath the Atlantic Ocean. ✨
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