Computer Vision by using C++ and OpenCV with GPU support
What you'll learn
- Computer vision
- OpenCV
- Computer vision app on Ubuntu OS
Requirements
- Must know basic programming knowledge
Description
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
Instructor
Hi, I'm Ibrahim, I have PhD degree in Computer Science and working on computer vision, image processing and machine learning. I have experience on different programming languages like C++, Python and Java. I have scientific papers (related image processing and machine learning) published at different International Conferences and journals. And over Udemy, I decided to share information especially via real world examples not only classical simple code examples!!