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Source channel @githubtrending · Post #14934 · Jul 9

#python#3d_reconstruction#3d_vision#monocular_depth_estimation#monocular_geometry_estimation MoGe-2 is a powerful tool for estimating 3D geometry from single images. It can create detailed point maps, depth maps, and normal maps with high precision. This model is especially useful because it can predict geometry in metric scale, meaning it provides accurate measurements. It also enhances visual sharpness, making it better than previous versions. Users benefit from MoGe-2 by getting precise 3D information from just one photo, which is helpful for applications like robotics or video games. It's fast and works well with different image sizes. https://github.com/microsoft/MoGe

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📢 Yep.uz – Новости из Узбекистана

@yepuz · Post #11467 · 10/29/2025, 03:58 PM

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The Ukrainian project “I Want to Live” has published a list of Uzbek citizens killed or missing while fighting for Russia in its war against Ukraine. The team identified 481 individuals but says the real number is likely much higher. https://yep.uz/en/2025/10/uzbek-citizens-killed-missing-russia-war-ukraine/ #xochujit#uzbekistan#russia#ukrainewar#russianarmy#mercenaries#centralasia#migrants#uzbeks#casualties#investigation#warinukraine

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📢 Yep.uz – Новости из Узбекистана

@yepuz · Post #11466 · 10/29/2025, 02:35 PM

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Ukrainadagi “Xochu jit” loyihasi Rossiyaning Ukrainaga qarshi urushi davomida halok bo‘lgan yoki bedarak yo‘qolgan o‘zbekistonliklarning ro‘yxatini e’lon qildi. Loyihaga ko‘ra, 481 nafar shaxs aniqlangan, ammo haqiqiy raqam bundan ancha yuqori bo‘lishi mumkin. https://yep.uz/uz/2025/10/ozbekistonliklar-rossiya-armiyasida-halok-bolganlar-royxati/ #xochujit#urush#rossiyaarmiyasi#o‘zbekistonliklar #ukraina#jangchilar#markaziyosiyo#migrantlar#halokbo‘lganlar #tadqiqot#rossiyavaurush#o‘zbekiston

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#xochujit #urush #rossiyaarmiyasi #o #ukraina #jangchilar #markaziyosiyo #migrantlar #halokbo #tadqiqot #rossiyavaurush