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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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@emagzinewspars · Post #9460 · 11/03/2025, 03:27 AM

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#The_Bloomberg🇺🇸📕[PDF]⬇️ #November2025 #Monthly_Magazines For learning, for free(dom). @backupofmagazines This issue pits #GavinNewsom against a shifting #USPolitics map while probing the supposed #AIBubble, from frothy valuations to real-world productivity. A climate-forensics read asks whether #CloudSeeding worsened Dubai’s deadly storm—at the nexus of #ExtremeWeather and #ClimateChange. The geo-economics file tracks India’s wobbling investments, China’s expanding #Ports, and weaponized #SupplyChains. For investors, the issue weighs #ETFs, #401k tweaks, #BigTech concentration risk, and hedges in #Europe and #Gold. Lifestyle detours sample Utah powder and the dive-bar revival. It’s a brisk tour of power, money, and culture in a volatile world. #Markets#Investing#Energy#MiddleEast#Africa#Healthcare#Birkenstocks