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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 #65256 · 04/12/2026, 10:58 AM

🚀 RAVE Token Movement Sparks Interest Among Investors Analyst @ai_9684xtpa posted on X about a notable transaction involving the RAVE token. An investor, identified as @EnHeng456 enai.bnb, purchased 46,336.76 RAVE tokens at an average price of $0.4556 on the second day of its launch. The tokens were held until 48 days ago, when they were transferred to Aster at a price of $0.39 per token, with the purpose of the transfer remaining unclear. Recently, 41,025 tokens were moved from Aster, making the investor one of the top nine holders on the BSC network. If the tokens had not been sold, the investor's return rate would have reached 462%, with an unrealized profit of $86,000. #RAVE#TokenMovement#Investors#BSC#Transaction#Aster#Crypto#Blockchain#Investment#ReturnRate#UnrealizedProfit#X