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Source channel @githubtrending · Post #14949 · Jul 12

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#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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🦅 [ perspective ix ]

@perspectiveix · Post #1510 · 08/31/2018, 08:00 AM

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​​📺Facebook Watch A year after launching #FacebookWatch in the United States 🇺🇸, #Facebook announced that it’s making the video-on-demand platform available everywhere. Although the global rollout is a logical next step, a recent study suggests that the service hasn’t really made an impact in the U.S. yet. According to a survey conducted by The Diffusion Group, nearly 3 in 4 adult Facebook users in 🇺🇸 haven’t used the service yet. More importantly though, 50% of the respondents have never even heard of Facebook Watch despite its presence on the social network’s navigation bar. 🚀@PerspectiveIX via Statista. ❓ Are you a Facebook Watch user?

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