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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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💃🌍У танцевальной группы «Цветы Урала» (школа № 10, Екатеринбург) в репертуаре есть «Танец рудокопов Южно-Африканской Республики» — см. видео! 🎥✨ #Культура#Танцы#Екатеринбург#ЮАР#ЦветыУрала _________________________ 💃🌍 The Urals Flowers dance group (School No. 10, Yekaterinburg) performs the Dance of South African Miners — see the video! 🎥✨ #Culture#Dancing#Yekaterinburg#SouthAfrica

ART IN SPORT

@BarykinaLiubov · Post #1217 · 08/20/2024, 07:07 PM

𝙈𝙖𝙨𝙩𝙚𝙧 𝘾𝙡𝙖𝙨𝙨 𝙤𝙛 𝙖𝙣 𝙞𝙣𝙩𝙚𝙧𝙣𝙖𝙩𝙞𝙤𝙣𝙖𝙡 𝙋𝙧o𝙟𝙚𝙘𝙩 🖤 #ArtInSport 𝘕𝘰𝘷𝘰𝘬𝘶𝘻𝘯𝘦𝘵𝘴𝘬 𝘙𝘶𝘴𝘴𝘪𝘢 16.8.24 #LiubovBarykina #InternationalProject #RhythmicGymnastics #dancing #painting

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