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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 #708 · 12/29/2020, 08:42 AM

#exoscale Host Provider: exoscale Specification: 1 vCore | 512MB RAM | 10G Storage | 1TB Transfer @ 1Gbps | €4.54 /month Test IP: 185.19.28.238 https://paste.ubuntu.com/p/q2VdmvmXTk/ https://paste.ubuntu.com/p/zmyyhGGyn3/ https://paste.ubuntu.com/p/8pP6QKNH7v/ 性能方面中规中矩,面板功能很多很强,但是瑞士之外区域的网络都是单线 cogent(

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Host Testing and evaluation

@HostEvaluate · Post #796 · 07/15/2022, 11:45 AM

#Exoscale#CH Host Provider: Exoscale Location: Geneva, Switzerland Specification: 1vCore(Xeon Skylake) | 512MB RAM | 10GB SSD | 1T @ 10Gbps | € 5.46 / Mo https://paste.red/p/4c7c75b9deb3 匿名投稿。一个瑞士做云服务的公司的日内瓦 VPS. 注册账号要先充 5CHF. 电信联通回程 cogent 绕欧洲,移动 telia 绕美。去程可能也绕~

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