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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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MND Singapore

@mndsingapore · Post #362 · 07/29/2022, 11:01 AM

In just 2 days, the Centre for Liveable Cities (CLC) and the Urban Redevelopment Authority (URA) will jointly organise our flagship event of the year – World Cities Summit (WCS) 2022! The Summit will return to an in-person conference format this year, and will convene government and industry leaders, and leading experts from around the world to address liveable and sustainable city challenges, share integrated urban solutions and forge new partnerships. Over the course of 4 days, WCS delegates will engage with this year’s theme - “Liveable and Sustainable Cities: Emerging Stronger” – through a series of discussions on how cities need to remain liveable, sustainable, and more resilient, in these times of prolonged and unpredictable disruptions, such as pandemics and climate change! For more information, visit https://worldcitiessummit.com.sg #worldcitiessummit#sustainablecities#liveablecities#resilientcities#innovation#cities#smartcities#wcsyl#clcsg