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所在平台: Udemy |
课程主页: https://www.udemy.com/course/computer-vision-by-using-cpp-and-opencv-with-gpu-support/
课程评论：没有评论
**课程名称：** 使用 C++ 和 OpenCV（支持 GPU）进行计算机视觉 **课程概述：** 本课程将指导您完成在 Ubuntu 操作系统上安装 NVIDIA 驱动以及编译支持 GPU 的 OpenCV。您将学习如何利用 OpenCV 的 GPU 功能来加速您的应用程序。此外，您还将学会如何在 Python 环境中设置 NVIDIA FlowNet2-pytorch。 **建议：** 如果您已完成“使用 OpenCV 和 Python 学习计算机视觉”课程，您将对计算机视觉有更扎实的基础，这将有助于您更好地理解本课程中使用 C++ 和 GPU 加速功能提供的不同示例。 **额外提示：** 请观看介绍视频以获取更多详细信息！
In this course, you are going to learn how to install Nvidia driver on ubuntu OS and compile OpenCV with GPU support. And, you will see how to use opencv GPU functions to accelarate your applications. Also you are going to learn how to setup nvidia flownet2-pytorch environment in python. *** Watch the Introduction video for more details! ***If you firstly follow my other course "Learn Computer Vision with OpenCV and Python", you will learn more beginning level information in computer vision, and then it will be better for you to see different examples with C++ and GPU enabled functions in this course.
