If you are using GPU, memory allocation is the biggest issue you need to consider. This video contains how to handle gpu memory via on opencv (compatible with cuda) c++. It also contains how to handle multiple gpus with opencv.
🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.3.0/modules...
🌠cv::cuda::flip() function: https://docs.opencv.org/4.3.0/de/d09/...
🌠 You may want to watch also: • Push-up Counter Project with Python |...
🌠 Stackoverflow: https://stackoverflow.com/users/11048...
🌠 Github: https://github.com/yunus-temurlenk?ta...
🌠 Twitter: / code_enjoy
🌠Hashnode: https://yunustemurlenk.hashnode.dev/
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
0:00 - Introduction
0:54 - Coding part
If you see any mistake and any advice please comment. Thanks for watching...
#opencv, #cuda, #tutorial