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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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@android_mod_featured · Post #1147 · 11/01/2024, 06:46 PM

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Drops - 点滴学语言 版本：38.47 外语学习高效轻松上手 德语西班牙语意大利语法语土耳其语俄语小语种词汇入门神器 • 解锁 Pro 高级版 • 去除广告 🔗 点击下载 #Drops#教育

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@kejiqu · Post #3648 · 07/19/2025, 01:01 AM

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谷歌推出“Gemini Drops”，新增生产力规划师 Gem 谷歌宣布推出“Gemini Drops”功能更新，效仿Pixel和Workspace，为其生成式人工智能模型带来新功能。此次更新的重点是“生产力规划师 Gem”，旨在提升用户的工作效率。此次更新标志着Gemini正式加入了定期功能更新的行列。9to5Google 🏷#Gemini#Drops#生产力规划师#Gem#更新 📢频道👥群组📝投稿

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