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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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@centralasian_greenuniversity · Post #715 · 02/03/2026, 10:30 AM

3.8 Billion People Could Face Extreme Heat by 2050 🌡️ A new Oxford University study warns that if global temperatures rise by 2 °C, nearly 3.8 billion people may be exposed to deadly heat. 🔴Urgent action is needed to build cooling infrastructure, especially in countries unaccustomed to extreme temperatures #ClimateChange#ExtremeHeat#GlobalWarming#OxfordStudy _________ 2050 yilga borib 3,8 milliard kishi ekstremal issiqlikka duch kelishi mumkin 🌡️ Yangi Oksford universiteti tadqiqoti shuni ko‘rsatadiki, global harorat 2 °C ga ko‘tarilsa, deyarli 3,8 milliard kishi xavfli issiqlikka duchor bo‘lishi mumkin. 🔴 Ayniqsa yuqori haroratga ko'nikmagan mamlakatlarda sovutish infratuzilmasini tezkor rivojlantirish zarurdir. #IqlimOzgarishi#EkstremalIssiqlik#GlobalIsish#OxfordTadqiqoti ✉️[email protected] ☎️ +998 55 512 00 77 📍Location 🌐Website | 📱Telegram | 📱Instagram | 📱LinkedIn | 🟥YouTube