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GPU-Accelerated Vision for Robots: Improving System Throughput Using OpenCV and CUDA
IEEE Robotics & Automation Magazine ( IF 5.7 ) Pub Date : 2020-03-25 , DOI: 10.1109/mra.2020.2977601
Enric Cervera

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.

中文翻译:

机器人的GPU加速视觉:使用OpenCV和CUDA改善系统吞吐量

OpenCV是适用于Windows,Linux,macOS和Android平台的C / C ++ / Python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高级算法,例如视频中的对象识别,面部识别和动作分类。OpenCV已变得非常流行,其用户社区中有超过4.7万人,下载量为1800万(请参阅https://opencv.org/about/)。根据伯克利软件发行(BSD)许可,它可以用于学术和商业应用。
更新日期:2020-03-25
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