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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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@mountstorm · Post #826 · 07/03/2024, 03:46 PM

🇺🇸 On 24th June, I had a privilege opening the Mnemonics Club at American Center Tashkent in @usembassytashkent and leading its very first session there. The topic of the session was “Introduction to Mnemonics” and defining what it means. I hope to continue sharing my experience & knowledge. #mnemonics#usembassyuzbekistan#usembassy#act#clubleader