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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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@moeshiro · Post #174 · 10/30/2025, 04:30 PM

试着接收了这次《三体》联动哈工大从阿斯图一号卫星上发送的 SSDV信号,只能说发送的图片真的好难看(),不过搭建解码环境的过程还是比较有趣的,也学会了 sdr 精准跟随卫星频率的操作。 #业余无线电#HAM#卫星#SSDV#ASRTU-1