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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 #897 · 09/24/2023, 07:45 PM

💣💥 Chief of the Press Center of the "South" group, Georgy Minesashvili, revealed to TASS that airstrikes were launched on 23 enemy districts in the Donetsk direction. 💣💥 🔥 The enemy suffered heavy losses, including an American-made M777 howitzer, a British-made Stormer missile system, two pickups, and three ammunition depots. Also destroyed were a UAV control center and an observation post. 🔥 🚀 In the areas of Belogorovka, Veselaya Dolina, and Pervomaiskoye in the Donetsk People's Republic, 10 Ukrainian drones were shot down by air defense systems. 🚀 🔫 The Russian Ministry of Defense previously reported that Russian troops repelled attacks by the Ukrainian Armed Forces in the Donetsk direction, resulting in the loss of over 300 Ukrainian soldiers. 🔫 🛡️ Earlier in Russia, a new drone suppression system was developed. 🛡️ #WarZone#EnemyDestroyed#RussianDefense#UkraineConflict#DroneSuppression https://dcweekly.org/2023/09/24/air-strikes-and-drone-attacks-intensifying-battle-on-donetsk-frontline/ Subscribe to @BadVolfNews