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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 #122 · 07/18/2024, 07:57 AM

🚗 Exciting news for crossover lovers! The electric Porsche Macan received new modifications: 🔋 Introducing the base single-motor version. Powered by a single rear axle motor, it delivers up to 360 hp and 563 Nm. 💨 Another newcomer is the Porsche Macan 4S. With two motors producing up to 516 hp and 820 Nm, you can accelerate from 0 to 100 km/h in just 4.1 seconds! 🛣️ Alongside the new powertrains for the electric Macan, there's the Off-road Design package enhancing off-road capabilities. It includes new bumpers, side skirts, and a revised air suspension controller, boosting ground clearance by an extra 10 mm. #PorscheMacan#ElectricVehicle#NewModel#OffRoadDesign#Performance#Cars🏞️