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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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Tutto Elezioni

@tuttoelezioni · Post #1356 · 10/27/2025, 07:15 AM

#Argentina🇦🇷 #Parlamentari Risultati parziali. Camera dei deputati. Sezioni scrutinate: 108.125/108.992 (99,20%). 🟪 La Libertà Avanza (#LLA|Libertaristi di destra): 40,65% (64) 🟦 Forza Patria (#FP|Centrosinistra peronista): 24,31% (31) 🟦 Province Unite (#PU|Centro): 4,96% (5) 🟥 Fronte di Sinistra (#FITU|Trotskisti): 3,71% (3) 🟦 Fronte Prima il Tucumán (#FTP): 2,28% (2) 🟥 Fronte Civico per Santiago (#FCS): 1,23% (2) 🟦 Forza Giustizialista Mendoza (#FJM): 1,10% (1) 🟦 Forza Entre Ríos (#FER): 1,06% (2) 🟪 Proposta federale per il cambiamento (#PFC): 1,05% (0) Altri: 19,65% (17) N.B.: Tra parentesi sono indicati i seggi ottenuti. @TuttoElezioni