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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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MND Singapore

@mndsingapore · Post #362 · 07/29/2022, 11:01 AM

In just 2 days, the Centre for Liveable Cities (CLC) and the Urban Redevelopment Authority (URA) will jointly organise our flagship event of the year – World Cities Summit (WCS) 2022! The Summit will return to an in-person conference format this year, and will convene government and industry leaders, and leading experts from around the world to address liveable and sustainable city challenges, share integrated urban solutions and forge new partnerships. Over the course of 4 days, WCS delegates will engage with this year’s theme - “Liveable and Sustainable Cities: Emerging Stronger” – through a series of discussions on how cities need to remain liveable, sustainable, and more resilient, in these times of prolonged and unpredictable disruptions, such as pandemics and climate change! For more information, visit https://worldcitiessummit.com.sg #worldcitiessummit#sustainablecities#liveablecities#resilientcities#innovation#cities#smartcities#wcsyl#clcsg