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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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Crypto M - Crypto News

@CryptoM · Post #64888 · 04/10/2026, 07:09 AM

🚀 XRP's Quantum Attack Vulnerability Lower Compared to Bitcoin According to NS3.AI, an analysis reveals that approximately 0.03% of XRP's supply has exposed public keys, contrasting with 11%–37% of Bitcoin's supply. This indicates that XRP is relatively less susceptible to quantum attacks. The XRP Ledger offers the ability to replace an account's signing key without necessitating fund transfers, thereby minimizing exposure during security updates. #XRP#QuantumAttack#CryptocurrencySecurity#Bitcoin#Blockchain#NS3AI#XRPLedger#BTC