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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 #62 · 07/08/2024, 01:58 PM

Such a tragic incident, but thankfully the driver came out unharmed 🙏 Hennessy Venom F5 met with an accident while testing at speeds just below 400 km/h on the runway of Kennedy Space Center. The primary aim of the test was to evaluate new aerodynamic details. Regrettably, the crash occurred due to these enhancements: at approximately 386 km/h, the 1817-horsepower Venom F5 took flight and somersaulted several times. While the test prototype suffered damage, the driver remained uninjured. #Hennessy#VenomF5#Crash#HighSpeedTesting#Auto🚗✈️