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Source channel @githubtrending · Post #15062 · Aug 15

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#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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🎨 𝗧𝗘𝗠𝗔𝗦 𝗧𝗘𝗟𝗘𝗚𝗥𝗔𝗠 ➤ 𝗧𝗚𝗫

@dnz_temas · Post #1845 · 02/12/2023, 02:47 AM

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⠀ 📱 𝐃𝐍𝐙 𝐓𝐄𝐌𝐀𝐒 🔠🔠 >> 🔠🔠🔠 📱 📢 𝗖𝗵𝗮𝗻𝗻𝗲𝗹: @DNZ_Temas🇧🇷 #Sunflower#dark ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➡️𝐀𝐏𝐏𝐋𝐘 𝐓𝐇𝐄𝐌𝐄 📱 ( Telegram ) ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ ➡️𝗕‌𝐀𝐂𝐊𝐆𝐑𝐎𝐔𝐍𝐃 ➖➖➖➖➖➖➖➖ 🖼𝐖𝐀𝐋𝐋𝐏𝐀𝐏𝐄𝐑 ➖➖➖➖➖➖➖ ⠀ ╚════ ღ 𝔻ℕℤ 𝕋𝔼𝕄𝔸𝕊 ღ ══╝

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🎨 𝗧𝗘𝗠𝗔𝗦 𝗧𝗘𝗟𝗘𝗚𝗥𝗔𝗠 ➤ 𝗧𝗚𝗫

@dnz_temas · Post #1982 · 03/12/2023, 11:01 AM

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📱 𝐃𝐍𝐙 𝐓𝐄𝐌𝐀𝐒 🔠🔠 >> 🔠🔠🔠 📱 📢 𝗖𝗵𝗮𝗻𝗻𝗲𝗹: @DNZ_Temas🇧🇷 #Sunflower#blur#White ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ➖ ⚠️𝐀𝐏𝐏𝐋𝐘 𝐓𝐇𝐄𝐌𝐄 📱 ( Telegram ) ➖➖➖➖➖➖➖➖➖➖➖➖➖ ⠀ ╚════ ღ 𝔻ℕℤ 𝕋𝔼𝕄𝔸𝕊 ღ ══╝

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