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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 #4076 · 02/05/2025, 07:00 PM

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Large Crypto Transactions Witnessed 🚨 Significant crypto transfers observed: 413M #DOGE (around $105M) and 144M #XRP ($346M) moved from Kraken to unknown wallets. Additionally, 147K #ETH (approx. $406M) also transferred. In regulatory updates, the FDIC plans to allow U.S. banks to engage in crypto activities without prior approval, boosting crypto interest. MicroStrategy has rebranded as Strategy, focusing on Bitcoin treasury management. For additional insights on the changing crypto landscape, visit Barron's and Leviathan News. #DOGE#ETH#XRP#Crypto#FDIC#Bitcoin#MicroStrategy#Blockchain#Regulations#Finance#CryptoNews#USA#Investments#WhaleAlert#CryptoMarket#CryptoTrading#CustodyServices#TokenizedDeposits#CryptoTrends#VC