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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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Host Testing and evaluation

@HostEvaluate · Post #764 · 04/01/2022, 10:29 AM

#NL#Chociz HostProvider: Chociz Location: Netherlands Specification: 2vCore | 2G RAM | 50G SSD | 2TiB @ 20Gbps | 5€ / Month Test IP: 45.132.114.1 https://paste.red/p/866da02d8579 匿名投稿。性能原因跑不满带宽,电信移动直连。

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