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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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@PTPPAction · Post #2058 · 06/02/2024, 02:55 AM

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#hui-shao:dev #hui-shao #open 抢先体验版本不保证稳定性 fix(pig): HnR count. fix(pig): HnR count. 修复 H&R 计数 测试截图： !2024-06-02_104700

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@PTPPAction · Post #1475 · 12/25/2023, 03:15 PM

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#hui-shao:dev #hui-shao #open fix(u2): 修复非简体中文语言环境下上传量和下载量获取的问题

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@bubbletealuv · Post #2572 · 10/09/2024, 06:37 AM

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ᝬ 🤩𖠵 ゛ (( 🐰) new post by bubbletealuv ↝ #Hui ➛ #Pentagon.. ✨ …( emoji ) 💭 взяли? буду рада увидеть плюсы и реакции!!

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