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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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😂👉Вышел Новый Open source и пипец какой мощный го тестить! Цены $0.04 per second for 1080p, $0.08 per second for 1440p $0.16 per second for 2160p 10 sec 4к 50 fps со звуком это лютая лють) Формат можно прописывать в ручную #fal | AcidCrunch

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Host Testing and evaluation

@HostEvaluate · Post #831 · 09/26/2022, 04:39 AM

#AEZA#DE#FAL Host Provider: AEZA Location: Falkenstein, Germany (Combahton) Specification: 1vCore(Ryzen 5950X) | 2GB RAM | 30G NVMe | Unmetered @ 1Gbps | €6.18 / Mo Looking Glass: lg.aeza.net 购买地址 感觉不如直接去买 Hetzner 的公有云或者 OLVPS 法兰克福。顺便吐槽一嘴,他们家 LG 真难用,做 traceroute 主机名也不显示。联通回程 telia, 电信 retn, 移动 de-cix. https://paste.red/p/04b35c727b10

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