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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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@gianlucaprocaccinireport · Post #9955 · 09/22/2025, 03:22 AM

🇩🇪Solo il 29,3% dei residenti di Ludwigshafen ha preso parte all'elezione del sindaco, dopo l'esclusione del candidato #AfD Joachim #Paul, per aver letto il "Signore degli Anelli ". Una democrazia vive di libertà di scelta, ma non è stata lasciata ai cittadini nessuna scelta.

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