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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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🗺 Travel the World | Private Expeditions

@expeditionsworldwide · Post #134 · 10/09/2020, 05:54 PM

⚙️ China has announced the first digital Yuan (¥) distribution to residents: this month, the government will randomly distribute 10 million coins to 50,000 individuals and 3,389 merchants in Luohu District, Shenzhen. To do this, users must provide their name, ID card, mobile phone number, and register the wallet with China Construction Bank, People's Bank, Industrial and Commercial Bank, or Agricultural Bank of China. # China #CBDC#DCEP

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