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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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Green University CA | Official

@centralasian_greenuniversity · Post #468 · 12/05/2025, 10:07 AM

Co-creation Workshop on Climate and Air Quality 💬On December 4, Green University, together with Clean Air Asia and with the support from MOEJ, hosted a workshop in Tashkent focused on developing projects to improve air quality and reduce emissions. The workshop highlighted the JCM, project idea development, and knowledge exchange with international experts. The workshop: ⚪️Helped to explore the co-benefits of clean air and climate mitigation 🔵Introduced the Joint Crediting Mechanism (JCM) as a financing tool for low-carbon projects 🔴Developed Project Idea Notes (PINs) with city officials and experts 🟢Facilitated knowledge exchange with specialists from Japan and Asia #GreenUniversity#AirQuality#ClimateAction#SustainableCities#CleanAirAsia#JCM#Uzbekistan#EnvironmentalLeadership ✉️[email protected] ☎️ +998 55 512 00 77 📍Location 🌐Website | 📱Telegram | 📱Instagram | 📱LinkedIn | 🟥YouTube