#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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Major Crypto Transactions and Funding News
🔥 50M #USDC burned at USDC Treasury.
🚨 100M #USDT transferred from Tether to unknown wallet.
📈 Mobile game Pixion Games raises $12.40M led by Delphi Digital.
🔧 TON Core reveals 2025 roadmap with major updates including Payment Network Layer 2 and new tools for validators.
💡 DeepSeek challenges AI sector, showing drastic efficiency improvements, causing significant market ripples. NVIDIA shares fell 13%.
💰 Pell Network and Inception raise $3.5M each in funding for restaking projects.
Read more about DeepSeek's impact here.
Full TON roadmap here.
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