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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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SLEX NEWS

@slex_io · Post #163 · 02/23/2024, 09:21 AM

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🤝New Exciting Partnership: SLEX Exchange Has Joined the Syscoin Ecosystem🥳 ☄️We're thrilled to announce that SLEX Exchange is now a member of the Syscoin ecosystem. It supports low-cost transactions, high throughput, and a variety of decentralized finance (DeFi) applications, making it an attractive ecosystem for developers and users alike✨ 📊Joining the Syscoin ecosystem is part of our broader initiative to support a diverse range of blockchains, enhancing the trading experience for our users. We're excited to support the following blockchains, each bringing unique strengths to the table: 🔗Scroll 🔗Zora 🔗Arbitrum 🔗Optimism 🔗zkSync 🔗Linea 🔗Base 🔥Stay tuned for more updates as SLEX will continue to grow and evolve, providing new exciting features for efficient trading! #SLEXExchange#SyscoinEcosystem#BlockchainDiversity#CryptoTrading#Innovation#FutureFinance

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