#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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Mathematicians found that many formulas used to calculate π are connected.
About 43% of known π formulas come from one main form. Another 51% belong to related groups.
This shows many π formulas are not separate. They share common structures in math.
π is still an infinite number with no repeating digits.
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[Read more]
@googlefactss
#math#pi#mathematics#science#facts