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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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Host Testing and evaluation

@HostEvaluate · Post #722 · 03/12/2021, 02:57 AM

#US#LAX#DMIT#AntiDDOS Host Provider: DMIT (PVM.Lax.sPro.CREATOR) Specification: 2 vCore | 2GB RAM | 20G SSD | 1000GB Transfer @ 100Mbps | $14.90 /month Looking glass: 45.88.194.0 https://paste.ubuntu.com/p/Fm2h5jYwnQ/ 本次使用自有资源重新测试

Host Testing and evaluation

@HostEvaluate · Post #706 · 12/25/2020, 12:13 PM

#US#LAX#DMIT#AntiDDOS Host Provider: DMIT Specification: 2 vCore | 2GB RAM | 20G Storage | 1000GB Transfer @ 100Mbps | $14.90 /month Looking glass: 45.88.194.0 https://paste.ubuntu.com/p/F7xxwvpQYh/