#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
🪐 Astronomers used an exploding star, supernova SN 1987A in the Large Magellanic Cloud (about 168,000 light-years away), to precisely measure the speed of light across vast space. Light and ghostly particles called neutrinos from the explosion reached Earth just hours apart, providing real proof that even over intergalactic distances, light always travels at the same constant speed—299,792 kilometers per second. ✨
#speedoflight⚡#supernova⚡#LargeMagellanicCloud⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space
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🪐 In the Tarantula Nebula of the Large Magellanic Cloud, light from young, massive stars races outward at the universal speed limit—299,792 kilometers per second—helping illuminate vast clouds of gas across 1,000 light-years of space. Because nothing can travel faster than this speed in a vacuum, the glow we see from such stellar nurseries is always an echo from the past, showing us cosmic events exactly as they unfolded years, decades, or even millennia ago. ✨
#speedoflight⚡#tarantulanebula⚡#largemagellaniccloud⚡#nasa⚡#galaxy⚡#stars⚡#astronomy⚡#universe⚡#cosmos⚡#space
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