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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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EnergoMenejer

@energomenejer · Post #1275 · 10/01/2025, 01:45 AM

Muhtaram ustoz va murabbiylar! Ta’lim-tarbiya sohasining barcha jonkuyar xodimlarini umumxalq bayrami — O‘qituvchi va murabbiylar kuni bilan chin qalbimdan tabriklayman. Ushbu qutlug‘ ayyomda siz, zahmatkash ustozlarga ko‘nglimizda, bo‘lgan yuksak hurmat-ehtirom va ezgu tilaklarni so‘z bilan to‘liq ifoda etish qiyin, albatta. Bebaho boylik va boqiy merosni yaratish, uni xalqimizga, unib-o‘sib kelayotgan yosh avlodimizga bezavol yetkazish yo‘lida chinakam fidoyilik ko‘rsatib mehnat qilayotgan ulug‘ insonlarsiz. #ustoz#ustozlar#murabbiy#usta#shogird#bayram#uzbek#trend https://www.instagram.com/reel/DPP50ZPCOTC/?igsh=d3dwMW13dGp3YXM2