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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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@revheadcrypto · Post #30 · 07/02/2024, 04:34 PM

🔥🏁Koenigsegg Regera Breaks Rimac Nevera's Record in 0-400-0 Challenge 🏁🔥 🏆 The music didn't play for long: Rimac Nevera's record in the 0-400-0 km/h acceleration-braking challenge lasted only a month. The Croatian hypercar surpassed the previous record holder, Koenigsegg Regera, clocking in at 29.94 seconds. 🇸🇪 The Swedish brand shrugged and sent the Regera back onto the track. Guess what? 28.81 seconds. How do you like that, Mate Rimac? 🥇 The margin of victory was 1.13 seconds, which in such a discipline, it must be said, is quite impressive. Surely, Rimac will have to respond. Competing is possible, but it will definitely require some effort. 🏎️Interestingly enough, the Regera has already been discontinued, with the last unit delivered to its owner in 2022. So why set a record with a car that is no longer in production? Koenigsegg answers bluntly: "Because it can!" The Regera remains superior to any newcomer. And it has proven it once again. 💥To outperform a significant rival - an electric car that has just set 23 records - is both impressive and beautiful. 💥 #Koenigsegg#Regera#driving#car