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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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Quiet World 🍁

@QuietWorld · Post #7450 · 06/27/2020, 11:02 PM

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Shopping for Henoa le Kitten again! 😍 Unplanned but I found item that I didn't know exist before that I think Henoa & I needs and I read lots of reviews saying that this shop sells a lot cheaper than other stores so why not? 😂 Will be making a video of unboxing these + review once they arrived and tested 🥰💞 Stay tuned for this video upload in my channel 🥰 #marcegetaway#youtube#kitten#Henoa @quietworld🍃

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