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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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@kejiqu · Post #3321 · 05/01/2025, 02:24 PM

苹果被勒令向专利流氓 Optis 支付 5.02 亿美元,尽管威胁要退出英国市场 苹果公司被判向专利流氓 Optis 支付 5.02 亿美元,原因是其 iPhone 和蜂窝 iPad 侵犯了 4G 标准必要专利。尽管苹果律师曾试图辩称,如果被迫支付这笔费用,该公司可能会撤回其在英国的 iPhone 销售。法院最终裁定支持 Optis。9to5Mac 🏷#苹果#Optis#专利#4G 📢频道👥群组📝投稿