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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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@tonlines · Post #6720 · 04/11/2025, 02:52 PM
Fanton EN: NFT Transfer Completion and Rule Violations #NFT#ComBot The Fanton EN channel has completed a mass NFT transfer, including distributions for auctions, tier upgrades, and the ComBot event. However, some participants broke the rules, leading to disqualifications. Participants who did not receive their NFTs should contact Fanton Support. Source: link @tonlines
@botsgram_cu · Post #3438 · 01/26/2021, 03:28 PM
@BanInfoRobot Qué puede hacer este bot? Comprueba si estás prohibido en los populares servicios Anti-Spam de Telegram como SpamWatch, CAS, etc Idioma: Inglés (visto en @BotsGram_cu) #ban, #userinfo, #spamwatch, #cas, #combot, #spam, #antispam, #spamprotection, #spb, #antispaminc, #check, #api, #scam, #spammer