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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 #65003 · 04/10/2026, 01:35 PM

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🚀 Security Incidents Since 2026 Result in Significant Financial Losses Since January 1, 2026, 163 security incidents have been recorded, resulting in total losses of approximately $796.7 million. According to Foresight News, at least 12 of these incidents are linked to North Korea, affecting platforms such as Step Finance, Bitrefill, and Drift Protocol, with losses amounting to around $329 million, which constitutes about 42% of the total losses. In comparison, losses related to North Korea in 2025 accounted for approximately 60% of the total losses. #SecurityIncidents#FinancialLosses#NorthKorea#Cryptocurrency#CyberAttack #2026

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