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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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@googlefactss · Post #40375 · 12/21/2025, 02:44 AM
After death, human microbes survive in soil and help break down the body. They work with soil microbes to speed up decomposition and recycle nitrogen, which plants need to grow. These microbes can live in the soil for months or years, turning dead bodies into nutrients that support new life. 🌱🦠💀 [Source] @googlefactss#Decomposition#Microbes#Soil#NitrogenCycle#Ecosystem