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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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ФГБУН Институт высокотемпературной электрохимии УрО РАН

@ihteubras · Post #419 · 11/29/2023, 04:29 AM

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Опубликована новая работа 🟠 2023 🟠 V. 10 🟠 Issue 4 🟠 Art. 202310409 🟠 Article 🟠 📜 Features of forming a low-temperature cubic Li7La3Zr2O12 film by tape casting 👩‍🎓👨‍🎓 E. Lyalin (http://orcid.org/0000-0002-0539-506X), L. Pershina (http://orcid.org/0000-0003-1759-5234), E. Il’ina, K. Druzhinin (http://orcid.org/0000-0002-8947-8208), S. Belyakov (https://orcid.org/0000-0001-9237-8307) 🏛 Institute of High Temperature Electrochemistry, UB RAS, https://ihte.ru 🏛 Ural Federal University, https://urfu.ru/en 📚#Li7La3Zr2O12#LIB#lithium#conductivity#films#tapecasting#allSSB 🔗https://doi.org/10.15826/chimtech.2023.10.4.09 https://www.chimicatechnoacta.ru/index.php/chimtech/article/view/7161

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