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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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AIGC

@aigcrubbish · Post #201 · 02/18/2026, 05:48 PM

[$] More accurate congestion notification for TCP 更准确的 TCP 拥塞通知机制 AccECN 即将在 Linux 内核 7.0 版本中默认启用。这一机制改进了 TCP 协议中显式拥塞通知(ECN)的精度,有望提升公共和私有网络中的流量传输效率。 AccECN 通过更精细地反馈网络拥塞状况,帮助 TCP 连接更及时地调整数据传输速率,从而减少延迟和丢包。该功能已在过去几个内核版本中逐步引入,7.0 版本将默认开启以供广泛使用。 原文链接:https://lwn.net/Articles/1058666/ #网络协议#Linux内核#TCP#ECN #AIGC Read more