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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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URA Singapore

@URASingapore · Post #947 · 09/12/2024, 04:15 AM

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Can you picture a car-lite future for Singapore? With more cycling paths being built, it could soon be a reality! The Bishan-to-City (B2C) Link is one of the pathways made possible by planners like Syafie, along with feedback from citizens like you, to make the island more connected and accessible for everyone. Watch on to learn more about his role and why he loves it. Want to shape our city too? Explore career opportunities with URA now 👉http://go.gov.sg/URA-CareersSyafieTG Also, learn more about our efforts to create a car-lite and sustainable city on our free guided community tours: http://go.gov.sg/ura-wcfd24 #UrbanDesign#URASingapore#DiscoverSingapore#Hiring#UrbanPlanning#WCFDsg#WorldCarFreeDay

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