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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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EnergoMenejer

@energomenejer · Post #1403 · 02/03/2026, 04:02 PM

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Bugun UNDP ko‘magida tashkil etilgan tadbir doirasidagi uchrashuvlar va muhokamalar yuqori saviyada, juda samarali va amaliy ruhda o‘tmoqda. Energiya tejamkorligi, ESCO mexanizmlari va ularni moliyalashtirish bo‘yicha olib borilayotgan muloqotlar davlat va xususiy sektor o‘rtasidagi real hamkorlikni kuchaytirib, yangi investitsion va texnologik imkoniyatlarni ochib bermoqda. SKB.uz sifatida biz bunday xalqaro platformalarda faol ishtirok etib, ilg‘or tajribalarni chuqur o‘rganish, ularni mahalliy sharoitga moslashtirish va yirik, barqaror energiya samaradorligi loyihalarini amalga oshirishni o‘z oldimizga strategik maqsad qilib qo‘yganmiz. 🇬🇧 The meetings and discussions held today within the framework of the event organized with the support of UNDP are taking place at a very high professional level and are strongly practice-oriented. #EnergyEfficiency#ESCO#UNDP#SKB#Leadership#GreenFinance#SustainableDevelopment#InternationalCooperation@energomenejer

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