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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 #785 · 06/09/2022, 02:54 PM

#LightNode#JP#HND HostProvider: LightNode Location: Tokyo, Japan Specification: 1vCore (AMD 3900X) | 2GB RAM | 50GB Disk | 1000GB @ 100Mbps | $7.71 / Month Looking glass: www.lightnode.com/en-US/speed/jp-tokyo-1?id=36 面板的英文写的挺感人的。系统可以选 Windows 不额外加钱。联通电信回程 TATA 绕美,移动 bbtec 直连 / pccw 绕香港. https://paste.red/p/8e0ba6a6ab34