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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 #64491 · 04/09/2026, 03:01 AM

🚀 Bitcoin Developer Adam Back Addresses Quantum Computing Concerns Bitcoin developer Adam Back has dismissed fears of a quantum computing crisis, asserting that humanity has at least a decade to prepare. According to Bitalk News, Back emphasized that current quantum hardware is still in its infancy, lacking error correction capabilities, and has only achieved basic calculations such as elementary-level factorization. He noted that Google's recent paper merely improved algorithms without any hardware breakthroughs. Back reassured that Bitcoin has ample time to adapt, with Liquid serving as a Layer 2 testing ground that has historically been adopted by the Bitcoin main chain after new signature formats were introduced. He argued that genuine solutions are already in progress, and that media-driven panic is more about selling headlines than reflecting technical realities. #Bitcoin#AdamBack#QuantumComputing#BitcoinDeveloper#Liquid#Layer2#SignatureFormats#ErrorCorrection#QuantumHardware#BitalkNews#Panic#TechnicalRealities#BTC