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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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👀 Isiah Kiner-Falefa dice que los Blue Jays estaban "contentos" de enfrentarse a los Yankees en lugar de los Red Sox en la Serie Divisional de la Liga Americana porque eran un enfrentamiento "más fácil", escribe Tim Healey del Boston Globe. 🐦 Los Jays avanzaron después de ganar la serie contra los Yankees, 3 juegos a 1. Los Yankees en la temporada regular estaban empatados con Toronto con 94 victorias, pero los Blue Jays ganaron la división a través del desempate cara a cara. Los Red Sox, que ahora tienen a IKF en su equipo, terminaron en tercer lugar con 89 victorias. #️⃣#BlueJays#IKF 🗞 | t.me/MLB_Daily