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Source channel @githubtrending · Post #14949 · Jul 12

#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7

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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