Computer Vision by using C++ and OpenCV with GPU support

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Beginner

Last updated on March 22, 2025 1:07 pm

Learn how to install Nvidia driver on Ubuntu OS and compile OpenCV with GPU support. Accelerate your applications using OpenCV GPU functions. Set up Nvidia flownet2-pytorch environment in Python. Perfect for Python developers and students interested in Computer Vision.

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What you’ll learn

  • Computer vision
  • OpenCV
  • Computer vision app on Ubuntu OS

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.

Who this course is for:

  • Python developers
  • Students want to work on Computer Vision

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    Computer Vision by using C++ and OpenCV with GPU support
    Computer Vision by using C++ and OpenCV with GPU support
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