How do i multi thread OpenCV? Or make it run on GPU pipeline

asked 2019-10-04 09:19:08 -0500

After a lot of research, i found that real time object detection is light years ahead of the current state of OpenCV and computer vision. My current demo is working with SURF + FLANN and detects object fairly well but has a very, very low frame rate.

My initial approach was optimizing image quality, but that harms accuracy. So i played with minimum number of matches, maximum numbers of keypoints and other threshold values. I think i have the right amount of accuracy and performance balanced but its still not enough. I need it to be at least 2 times faster and 2 times more accurate. I did do some task manager examination and found that it is running on a single CPU core. Can i make it run on multiple cores? and if so, what would be the most optimal way. Also is it possible to make it run on the GPU?

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Comments

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The SURF function is parallelized with the TBB library, so perhaps you should rebuild OpenCV with TBB support.

Witek gravatar imageWitek ( 2019-10-05 16:58:23 -0500 )edit

real time object detection

yea, your idea is 10 years behind, and won't ever work properly. consider using cnns, like SSD,RCNN or YOLO for this.

berak gravatar imageberak ( 2019-10-08 08:07:35 -0500 )edit