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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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NIDO Russia (НИДО)

@nido_russia · Post #1728 · 07/22/2024, 07:41 PM

🇷🇺🇳🇬The State Duma extends hand of friendship to Bloggers/Influencers/Team Leaders/Organisation Heads During the focus group session at the state Duma, we discussed ways of promotion and self regulation of the information space to promote information exchange, consultation and education, as well as to prevent fraud/propaganda. The legislative arm of the government (State Duma) made commitments to work together with bloggers, influencers and consider all their suggestions. The Federal tax service present at the meeting also threw more light on favourable tax policies for bloggers. NIDO Russia encourages all influencers and bloggers amongst us to come together to organise/prioritise the dissemination of information in our interests to take advantage of new and existing state policies related to the information space and ensure our collective socioeconomic development. Yours in service, Dr. Godwin Ibe Chairman, NIDO Russia Subscribe: @nido_russia https://t.me/nido_russia/1728 #stateduma#duma#госдума#дума#nido#nidorussia#blog#infospace#infotech#Nigeria#Russia