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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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@tavat_consulting · Post #559 · 10/04/2024, 04:18 AM

📈 O‘zbekistonda nafaqat tovarlar, balki xizmatlar bo‘yicha ham import operatsiyalari soni ortib bormoqda. Bu esa hujjatlarni to‘g‘ri rasmiylashtirish bilan bog‘liq yangi masalalarni keltirib chiqarmoqda. ❓ Asosiy jihatlardan biri - bu rezidentlik sertifikatlari va ikki tomonlama soliqqa tortishni oldini olish to‘g‘risidagi bitimlar doirasida pasaytirilgan soliq stavkalarini qo‘llashning nozik tomonlaridir. Tadbirkorlar va buxgalterlar bunday sertifikatlarni olish uchun bilishi kerak bo‘lgan barcha muhim ma’lumotlarni tizimlashtiruvchi qo‘llanma tayyorladim. 💼📑 Бухгалтер Толмачева Telegram | Instagram | Услуги аутсорса | Facebook | Youtube 💛 Muhim narsalar oddiy tilda! #rezident#yo'riqnoma

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