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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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@storage_qi · Post #764 · 02/07/2024, 05:45 PM
#Clash#ClashMeta#WebUI#metacubexd#Yacd GH 页面自定义域：http://d.metacubex.one GH 页面：https://metacubex.github.io/metacubexd Cloudflare 页面：https://metacubexd.pages.dev 省流（个人认为体验优于Yacd）： - 在Connections的功能相当丰富，功能体验最优（无法全部显示时，Shift+滚轮 可以横向滚动） - Proxies界面节点延迟可视化显示 - 还有一些其他Web UI所没有的功能 来源（ClashMeta官方支持）