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Source channel @githubtrending · Post #15062 · Aug 15

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#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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📰 Info_Dota2

@Info_Dota2 · Post #36588 · 03/04/2025, 06:33 PM

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🟢¡VUELVEN A JUGAR JUNTOS! 🤯🔥 -A través de un comunicado oficial en sus redes sociales, la organización de 🇨🇳Xtreme Gaming anunció el regreso de 🇨🇳Ame, 🇨🇳XinQ, 🇨🇳Xxs y 🇨🇳Xiao8 a su roster principal de Dota 2 para los siguientes torneos 😮 🔹El roster principal de Xtreme quedaría de la siguiente manera; 1. 🇨🇳Ame 2. 🇨🇳Xm 3. 🇨🇳Xxs 4. 🇨🇳XinQ 5. 🇨🇳Undyne Coach: 🇨🇳Xiao8 🔸Como consecuencia de este drástico cambio de roster, Xtreme no podrá participar de la 🏆ESL One Raleigh. En su lugar, está invitado el equipo de NTS y Bach"🇨🇳TideBound" 🤠 Este nuevo Xtreme Gaming hará su debut en la 🏆PGL Wallachia 3 que inicia la próxima semana 😉 #esports#dota2#Xtreme @Info_Dota2

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