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首页> 外文期刊>Mathematical research letters: MRL >GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA
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GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA

机译:GPU加速机器人的愿景:使用OpenCV和CUDA改善系统吞吐量

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摘要

OpenCV is an open source computer vision and machine learning library for C/C++/Python available for Windows, Linux, macOS, and Android platforms. It contains low-level image processing functions as well as high-level algorithms such as object identification, face recognition, and action classification in videos. OpenCV has become very popular, with more than 47,000 people in its user community and 18 million downloads (see https://opencv.org/about/). Under a Berkeley Software Distribution (BSD) license, it can be used for both academic and commercial applications.
机译:OpenCV是用于Windows,Linux,MacOS和Android平台的C / C ++ / Python的开源计算机视觉和机器学习库。 它包含低级图像处理功能以及视频识别,面部识别和视频中的动作分类等高级算法。 OpenCV已经变得非常受欢迎,用户社区中有超过47,000人,1800万人下载(见https://opencv.org/about/)。 在伯克利软件分销(BSD)许可下,它可用于学术和商业应用。

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