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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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@priborpedals · Post #560 · 10/29/2025, 08:12 AM

А вы знали, что Руководство по эксплуатации модуля Прибор Эксперимент представляет собой сувенирную коллекционную открытку? ️💌 #eurorack#vco#vcf @priborpedals

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@pptdaily · Post #5 · 01/18/2019, 08:56 AM

vcftools基于的是使用bgzip压缩过的vcf.gz文件,还需要用tabix进行index。将多个vcf样本进行merge使用vcf-merge命令,将同一样本的不同vcf整合使用vcf-concat #vcf#vcftools#snp