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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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DWF Labs Broadcast

@Dwflabs · Post #139 · 01/12/2023, 01:16 AM

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[5 Jan to 11 Jan] DWF Crypto Snapshot 🗞️ Our latest #crypto report by DWF Labs Managing Partner Andrei Grachev is up here. Here's your weekly round up 🚀 💠Decentralized Exchange Aggregators See Uptick In Utility 💠Stablecoins Are The New #CBDCs In Hong Kong's Latest Proposal 💠World Mobile Token Launches #EarthNode NFTs On Cardano 💠It's All About The #Experience For The Future Of #NFTs 💠Innovation, #Integration, and Community is Key To A Successful #Blockchain, Says Comparing Layer-1 Platforms: 2022 Edition by The Block 💠Skip The Wait On #NFT Trading With NFT Decentralized Exchanges 💠More Web3 Projects Join Initiatives To Create Safer Blockchain #Ecosystems 💠Ethereum Staking #Protocols Will See A Boom Post-Shanghai Missed last week's snapshot? Read here. Follow us on Medium here. Stay up-to-date on the latest DWF Labs updates: Website| Twitter | Linkedin | Telegram

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