#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
🌍 The city of Venice, built on more than 100 small islands, uses a vast network of canals instead of streets. Its unique layout has helped it survive for centuries on shifting lagoon mud. ✨
#city⚡#canals⚡#adaptation⚡#geography⚡#nature⚡#earth
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🌎 Amsterdam’s famous canal system was shaped by centuries of human engineering. Over 100 kilometers of canals were dug since the 17th century to manage water, transportation, and city expansion. Today, the city relies on more than 1,500 bridges to connect its neighborhoods. ✨
#Amsterdam⚡#canals⚡#engineering
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🌎 Amsterdam’s famous canal system shaped the city’s landscape but also lowered the local water table. Over 1,500 wooden bridge and building foundations are now monitored for rotting due to changing groundwater levels. ✨
#Amsterdam⚡#canals⚡#urbanization⚡#groundwater
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