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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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@awesomeopensource · Post #151 · 08/01/2018, 04:12 PM

laravel-s 又一个 Laravel 使用 swoole 扩展提高性能的项目 特性 高性能的Swoole 内置Http/WebSocket服务器 常驻内存 异步的事件监听 异步的任务队列 平滑Reload 代码修改后自动Reload 同时支持Laravel与Lumen,兼容主流版本 简单,开箱即用 Tags: #swoole#laravel#lumen#async Languages:#php 感谢 @iVanilla 的投稿