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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40066 · 11/11/2025, 12:00 PM

Pigeons have played astonishing roles in human history — from trusted messengers in wars to lifesavers in search-and-rescue. Even testing pigeon-guided missiles (funded at $25,000 then — roughly $450,000 in today’s money) during WWII. Using trained birds to peck at targets inside a missile’s nosecone. Pigeons have located people in distress under tough conditions and served as reliable communication partners long before modern tech. 🐦📡🕊️@googlefactss [Read more] #Pigeons#History#UnusualScience#AnimalsInWar