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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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DWF Labs Broadcast

@DWFLabs · Post #198 · 02/07/2023, 05:07 AM

We're a proud sponsor of the first Flow Hackathon – a global competition from 2/21–2/26 to push the limits of #web3#onFlow. Beyond excited to be involved in the expansion of the #ecosystem and to provide an opportunity for developers to shine! 💡✨ This is what's up: 💰 $500K in prizes 🌐 Virtual & IRL events 📚 Education phase to learn more about building #onFlow ✨ Amazing speakers and judges 👨‍💻 Empowering #developers to do great things Are you ready to build awesome innovations and earn prizes for your work? Register today! 👇 https://hackathon.flow.com