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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 #769 · 04/04/2022, 02:56 PM

#NL#Blazingfast HostProvider: Blazingfast Location: Amsterdam, Netherlands Specification: 1vCore(AMD EPYC 7702P @ 2.0GHz) | 1G RAM | 30G NVMe | 5T@10Gbps then unlimited@100Mbps | €4.5 / Month(Promotion Code: LET10) Looking glass: lg.nl.blazingfast.io https://paste.red/p/b82e3cecd0a6 频道之前也测过他家的 VPS,现在 CPU 和硬盘都升级了,性能不错还有 DDoS 保护,可以建站。不过感觉他家之前的路由要好一些,现在三网 GTT. Edit: 又倒回去看了一眼才发现之前联通移动会绕美。现在走 GTT 了倒是不错。 历史评测