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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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Venture Village Wall 🦄

@venturevillagewall · Post #3758 · 12/31/2024, 07:00 AM

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2023 Reflections and Initiatives Key takeaways from the past year: Emphasis on founder-side roles, collaborations with dynamic teams, and growth initiatives. Initiated two accelerators: triangle.tg connecting TON to Web3, supporting 11 teams with notable backers like Binance Labs, GSR, and others. Launched Gaming.tg with Anton from Helika.io, focusing on the gaming sector. Significant partnerships emerged, enhancing the value for founders. Currently supporting promising Telegram ecosystem projects, anticipating a return to article writing in 2025. Appreciating the support received and lessons learned. #FounderSide#Web3#TON#Accelerator#Gaming#BinanceLab#GSR#Polychain#DelphiDigital#Blackrock#TriangleTG#GamingTG#Community#Innovations#Telegram#Investments#2023Reflections#CholyLabs#Projects#Support#Partnerships#Leadership