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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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Addis Standard

@addisstandardeng · Post #21510 · 02/24/2026, 09:10 AM

News: #NAMA, #ADPM welcome House of Federation decision to hold elections in five districts outside #Tigray oversight The National Movement of #Amhara (NAMA) and the Amhara Democratic Force Movement (ADPM) have welcomed a recent decision by the House of #Federation to conduct elections in five districts outside the oversight of the Tigray regional authorities, pending the resolution of their constitutional status. In separate statements issued following emergency executive meetings, both organisations said the decision provides a legal response to long-standing questions of political participation and identity in the “contested” electoral districts, while also raising concerns about its implementation. NAMA said it respects the decision, which followed communication between the House of Federation and #NEBE, & described it as consistent with the spirit of the Pretoria Agreement. For its part, ADPM described the House’s move as “the beginning of historical.... Read more: https://addisstandard.com/?p=55369