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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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AI match predictions

@ai_match_prediction · Post #11583 · 04/18/2026, 05:05 PM

Chile Primera División🇨🇱 2026-04-18 21:30 UTC Everton de Vina vs. Universidad de Chile Predicted outcome: Universidad de Chile❌ Predicted score: 0:1 Actual: Draw 0:0 #EvertondeVina#UniversidaddeChile 2026-04-19 00:00 UTC Concepción vs. D. La Serena Predicted outcome: Draw✅ Predicted score: 1:1 Actual: Draw 3:3 #Concepcin#DLaSerena #Football#ChilePrimeraDivisión

AI match predictions

@ai_match_prediction · Post #11330 · 04/05/2026, 01:05 PM

Chile Primera División🇨🇱 2026-04-05 19:30 UTC Concepción vs. Colo Colo Predicted outcome: Colo Colo✅ Predicted score: 0:1 Actual: Colo Colo 0:1 #Concepcin#ColoColo 2026-04-05 22:00 UTC Universidad de Chile vs. D. La Serena Predicted outcome: Universidad de Chile✅ Predicted score: 2:1 Actual: Universidad de Chile 4:0 #UniversidaddeChile#DLaSerena #Football#ChilePrimeraDivisión