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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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Microbiosociety

@microbiosociety · Post #79 · 01/03/2024, 07:30 AM

All but one of the #FEMSJournals have now transitioned to #OpenAccess! Get 2024 off to a good start by submitting your research to our not-for-profit journals, and help us keep the revenues invested in the #MicrobiologyCommunity: https://academic.oup.com/fems-journals/pages/why-publish-with-fems-journals