Make use of dual or multi core with OpenCV (ARM cortex A9)
I have a recently purchased a panda board. The board is equipped with an ARM Cortex A9 processor which has a 1 ghz dual core. For the ARM processor I can not take advantage of multi-core processing that OpenCV supports. (this a bit disappointing, maybe a single core A8 processor would have been better)
I would like to implement object/face tracking. does anyone has any experience with splitting these kind of things up in threads so I can speed up stuff and not be limited by one processor core?
Options that I have thought of are: 1. Have one thread for capturing an image from the webcam and send that to second separate thread for running the object detection?
- Get an image from the webcam and split up the image in two separate images and have the two parts being processed by two separate threads.
Since I think processing the images takes the most time, I thin the second option would be the best right?
Hi @nLs, I am also using opencv on a Cortex A9 processor. I would like to know what makes you think that you can not take advantage of multi-core processing ?
In fact, I have a problem : my program is running low with this proc, despite some optimization flags put during compilation.
Did you manage to achieve some optimizations with multi-threading or something else ?