#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
➡️New build available for Xiaomi POCO M3/Redmi 9T (chime)
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ℹ️ Version: 12
📆 Build date: November 25, 2022 01:10
📂 File size: 1.66 GB
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#chime#pixelexperience
➡️New build available for Xiaomi POCO M3/Redmi 9T (chime)
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ℹ️ Version: 12
📆 Build date: November 20, 2022 11:41
📂 File size: 1.66 GB
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#chime#pixelexperience
🪐 One of the largest samples of fast radio bursts (FRBs) ever recorded comes from the Canadian Hydrogen Intensity Mapping Experiment (CHIME), which has detected thousands of these brief, mysterious flashes from all directions across the sky. Each FRB is a burst of radio energy that lasts just milliseconds, often releasing more power than our Sun emits in days, and their unpredictable appearances continue to challenge scientists searching for their true origins. ✨
#FRB⚡#CHIME⚡#astronomy⚡#nasa⚡#galaxy⚡#stars⚡#universe⚡#cosmos⚡#space
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