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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #10273 · 11/10/2025, 01:01 PM

As we approach the #COP30 summit in Brazil, let’s explore some key facts about climate change together. Each number from 1 to 30 highlights an important theme — covering areas such as energy, adaptation, finance, nature, gender equality, health, and justice. At a time when climate-related misinformation is rapidly increasing, the #ClimateCounts initiative helps improve climate literacy — empowering individuals and communities to take bolder climate action and demand stronger commitments. See them all here: https://feature.undp.org/climate-counts/ #ClimateAction#ClimateCounts ☘️Read the latest environmental news on the @ekologuz page. Follow us and send your suggestions and wishes via @eklguz_bot Instagram | Facebook | Twitter | Sayt | Youtube.