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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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@revheadcrypto · Post #62 · 07/08/2024, 01:58 PM

Such a tragic incident, but thankfully the driver came out unharmed 🙏 Hennessy Venom F5 met with an accident while testing at speeds just below 400 km/h on the runway of Kennedy Space Center. The primary aim of the test was to evaluate new aerodynamic details. Regrettably, the crash occurred due to these enhancements: at approximately 386 km/h, the 1817-horsepower Venom F5 took flight and somersaulted several times. While the test prototype suffered damage, the driver remained uninjured. #Hennessy#VenomF5#Crash#HighSpeedTesting#Auto🚗✈️