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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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Crypto M - Crypto News

@CryptoM · Post #65256 · 04/12/2026, 10:58 AM

🚀 RAVE Token Movement Sparks Interest Among Investors Analyst @ai_9684xtpa posted on X about a notable transaction involving the RAVE token. An investor, identified as @EnHeng456 enai.bnb, purchased 46,336.76 RAVE tokens at an average price of $0.4556 on the second day of its launch. The tokens were held until 48 days ago, when they were transferred to Aster at a price of $0.39 per token, with the purpose of the transfer remaining unclear. Recently, 41,025 tokens were moved from Aster, making the investor one of the top nine holders on the BSC network. If the tokens had not been sold, the investor's return rate would have reached 462%, with an unrealized profit of $86,000. #RAVE#TokenMovement#Investors#BSC#Transaction#Aster#Crypto#Blockchain#Investment#ReturnRate#UnrealizedProfit#X