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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 #186 · 07/27/2024, 10:59 PM

🚗Exciting News from Pirelli: Introducing "Cyber Tires" that can communicate with vehicles Pirelli has developed tires embedded with sensors that transmit real-time data about tire conditions. This helps the car's electronics adapt more quickly to road conditions. Currently, Cyber Tires have been equipped on the supercar Pagani Utopia, but in the future, tire sensors will help make driving for regular cars safer and more predictable. #Pirelli#CyberTires#innovation#PaganiUtopia#safety#technology#Auto