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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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Cetus Announcements

@CetusProtocol · Post #80 · 01/31/2023, 09:03 AM

@CetusProtocol will join #BeLaunch IDO TESTNET EVENT :eyes: We are happy to announce that Cetus will participate in the BeLaunch IDO #Testnet event as a place for projects to list tokens after the projects' IDOs end. Participants can claim tokens and trade on @CetusProtocol https://twitter.com/BeLaunch_/status/1620345162676445184?s=20&t=cUXqKTNWt2OmPegCjB1WCg @everyone