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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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Ethio-Djibouti Railway S.C.

@ethiodjiboutirailway · Post #1360 · 01/25/2024, 05:06 AM

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Congratulations to the fourteen train driver trainees who have successfully completed their training! January 24, 2024(EDR); During their one year training period, the trainees have successfully finished their theoretical and practical training. That provided by the Ethiopian-Djibouti Railway Capacity Building program’s fourth round. Today, they took their Ministry of Transport and Logistics qualification exam, and now one step closer to obtaining their licenses and starting their careers as train drivers. We are incredibly proud of their hard work and commitment, and we wish them all the best in their future endeavors! #EthiopiaDjiboutiRailway#EthiopiajiboutiRailwayfamily#CapacityBuilding #TrainDriverTraining#Congratulations

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