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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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Libreware

@libreware · Post #1573 · 04/06/2026, 06:13 PM

Age Verification Isn’t What You Think (New Investigation) | Tech, Privacy, News Explained A new OSINT-based investigation is raising serious questions about how age verification systems actually work. These systems are often presented as simple checks — “are you over 18?” — but this report suggests something much broader may already be in place. Surveillance Findings: Age Verification as Mass Surveillance Infrastructure - TBOTE Project Age verification laws in Brazil, the United Kingdom, and the United States are creating mandatory markets for #BiometricIdentity verification infrastructure that doubles as #surveillance. The same investor, Peter Thiel, simultaneously controls the surveillance analytics company (#Palantir) and funds the identity verification company (Persona via Founders Fund). A coordinated legislative pipeline creates the legal demand for these services across borders. The identity verification ecosystem is now converging with the AI agent infrastructure.. #BigBrother