#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
🚀 Etherscan Enhances Contract Page with New Features
Etherscan has announced a revamp of its contract page, introducing an IDE-style code browser. According to Foresight News, the update includes features such as file tree navigation, multi-file tabs, contract outline jumping, and cross-file keyword search.
The redesign also improves the interaction interface for reading and writing contract pages, aiming to enhance the user experience in reading and operating smart contracts. Users can now switch to full-screen mode and open matching contract codes directly in Blockscan and Ethereum Remix for editing.
#Etherscan#SmartContracts#Blockchain#Ethereum#CodeBrowser#DeveloperTools#Crypto#IDE#BlockchainDevelopment#TechUpdate#ETH