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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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Venture Village Wall 🦄

@venturevillagewall · Post #3599 · 12/20/2024, 03:25 PM

DuckChain Raises $5M for Web3 DuckChain, a consumer layer for Web3, successfully secured $5M in funding from notable investors including dao5, Offchain Labs, Kenetic, and others. #DuckChain#Web3#Funding#dao5#OffchainLabs#Kenetic#DWFVentures#OakGroveVentures#SkylandVentures#GeekCartel#GateLabs#PrestoLabs#Camelot#Quantstamp

Venture Village Wall 🦄

@venturevillagewall · Post #3600 · 12/20/2024, 04:00 PM

DuckChain Secures $5M Funding TON’s consumer layer for Web3 DuckChain has successfully raised $5 million in a funding round with participation from multiple investors including dao5, Offchain Labs, DWF Ventures, and others. #DuckChain#Web3#Funding#TON#dao5#OffchainLabs#DWF#Investors#Ventures#Kenetic#Skyland#GeekCartel#GateLabs#PrestoLabs#Camelot#Quantstamp#Blockchain#Finance#Investment#Technology