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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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“Yangi O‘zbekiston” universiteti talabasi — YUNESKO e’tirofida! Oliygohimiz talabasi Fyodor Amanov YUNESKO tashabbusi bilan tuzilgan nufuzli “Quantum 100” ro‘yxatiga kiritildi! Bu — kvant fanlari va texnologiyalari bo‘yicha dunyodagi eng faol va yetakchi 100 nafar vakil jamlangan ro‘yxatdir. Fyodor nafaqat ushbu ro'yxatga kirdi, balki u Markaziy Osiyodan tanlangan yagona vakil bo'ldi! 🇺🇿 U NVIDIA, IBM, ETH Zurich, National University of Sinpapore, Google va Microsoft kabi nufuzli universitetlar va kompaniya yetakchilari bilan bir qatorda e'tirof etildi. 🌐 Batafsil ma'lumot: https://quantum2025.org/quantum-100-hub/ #Quantum100#YangiOzbekistonUniversiteti#FyodorAmanov#UNESCO#IlmFan#Ozbekiston ⬇️ Biz ijtimoiy tarmoqlarda: Veb-sayt | Telegram | Instagram | Facebook