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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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Notes I Never Shared 🌱

@notesinevershared · Post #206 · 09/03/2025, 11:19 AM

I jumped from the sky😁 After 4 months of planning, fear, and pure excitement… I finally did it. High up in the Zomin mountains, I stood on the edge — heart racing, wind in my face — and jumped. No second thoughts. Just freedom. This wasn’t just about the altitude. It was about proving to myself that I could do something boldsomething wild, something unforgettable.🙂 This is what it feels like to be alive.#Zomin#AdrenalineRush#MountainJump#Freedom#EverythingILived