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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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@Hasab_2016 · Post #86 · 06/09/2024, 08:50 AM

🗣️#DebateSphere was 🔥🔥🔥🔥🔥 The inaugural edition of Debate Sphere in Bishoftu, Ethiopia kicked off with an intense first round of debates. 20 eager participants, divided into 4 teams, took the stage to tackle pressing issues. The energy in the room was 💯 as the teams delivered their arguments with eloquence and conviction, captivating the enthusiastic 👏 audience. Judges listened intently, evaluating the persuasiveness and clarity of the presentations. Friendly handshakes and camaraderie between the teams exemplified the spirit of intellectual discourse, as they engaged in lively rebuttals and challenged each other's perspectives. 🤝 Can't wait to see what's in store for the next destination #Jimma! 🔜🏆 🔅Round 1 pictures🔅 @safelightcommunity #InspireEmpowerTransform 🔆🔅www.safelightet.org🔅🔆 @SafeLightOfficial 👇JOIN US👇 Telegram | Instagram | LinkedIn | Facebook #DebateSphere#BishoftuDebate#CriticalThinking#SafelightetIntiatives #SDG#Transform2032 #MODEL2053 #Agenda2032