Language: English | VTT | Size: 1.30 GB | Duration: 2h 35m
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
Password/解压密码0daydown
Download rapidgator
https://rg.to/file/adfc86be5b5df549b05e122be0cf3898/Computer_Vision_by_using_C___and_OpenCV_with_GPU_support.part1.rar.html
https://rg.to/file/18b84b2ef36c08e49274c65a431055df/Computer_Vision_by_using_C___and_OpenCV_with_GPU_support.part2.rar.html
Download nitroflare
https://nitroflare.com/view/950C8B7D6A344F2/Computer_Vision_by_using_C%2B%2B_and_OpenCV_with_GPU_support.part1.rar
https://nitroflare.com/view/8FF658A0895C4C9/Computer_Vision_by_using_C%2B%2B_and_OpenCV_with_GPU_support.part2.rar
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