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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 #64676 · 04/09/2026, 01:44 PM

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🚀 Etherscan Enhances Contract Page with New Features Etherscan has announced a revamp of its contract page, introducing an IDE-style code browser. According to Foresight News, the update includes features such as file tree navigation, multi-file tabs, contract outline jumping, and cross-file keyword search. The redesign also improves the interaction interface for reading and writing contract pages, aiming to enhance the user experience in reading and operating smart contracts. Users can now switch to full-screen mode and open matching contract codes directly in Blockscan and Ethereum Remix for editing. #Etherscan#SmartContracts#Blockchain#Ethereum#CodeBrowser#DeveloperTools#Crypto#IDE#BlockchainDevelopment#TechUpdate#ETH

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