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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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BadVolf

@BadvolfNews · Post #129 · 06/05/2022, 09:31 AM

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I decided to respond to #Ukraine#President#Zelensky about being placed on the Ukrainian #Peacemaker Execution list. Yes, Me and some other #journalists were put on the Ukrainian's "Peacemaker" Extermination list. It's a website that Ukrainian troops use and if you are on that list and found in Ukraine, you are #executed on the spot. Their source of information is not only their #SBU, but western intelligence agencies, like the #FBI, #CIA, #NSA, #MI5 and others. I took this opportunity to address President Zelensky about his policy of executing journalists that refused to regurgitate his Ukrainian talking point lies. Mr. Zelensky, This is for YOU 🖕🏿🖕🏿🖕🏿

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