openCV + openMP

openCV 2.4.6 부터 Use openMP 옵션이 추가된 기분?

[링크 : https://iamsrijon.wordpress.com/./how-to-compile-opencv-to-utilize-multiple-core-processor-in-linux/]

[링크 : http://answers.opencv.org/question/20955/enabling-openmp-while-building-opencv-libraries/]

결국은. 또 다시 크로스 컴파일이거나...

빌드의 시간인가!?!??

물론.. opencv2가 아닌 opencv에서도 수작업으로 병렬화는 가능한듯

[링크 : https://huseyincakir.wordpress.com/2009/11/05/using-openmp-with-opencv/]

openCV2 2.4.0 에서도 무언가 테스트는 했는데 코드가 없어서 아쉽네..

[링크 : http://museguy.tistory.com/16]

2.4.6

switched all the remaining parallel loops from TBB-only tbb::parallel_for() to universal cv::parallel_for_() with many possible backends (MS Concurrency, Apple's GDC, OpenMP, Intel TBB etc.)

2.4.3

Added universal parallel_for implementation using various backends: TBB (cross-platform: http://threadingbuildingblocks.org), OpenMP (cross-platform: http://en.wikipedia.org/wiki/OpenMP), Grand Central Dispatch (iOS/MacOSX: http://en.wikipedia.org/wiki/Grand_Central_Dispatch), Concurrency (Visual Studio 2010 or later: http://msdn.microsoft.com/en-us/library/dd492418.aspx), C= (http://www.hoopoesnest.com/cstripes/cstripes-details.htm). Many exiting parallel OpenCV algorithms have been converted to the new primitive. Therefore, you can enjoy performance improvements even without having to install TBB and ship it with OpenCV-based applications.

[링크 : http://code.opencv.org/projects/opencv/wiki/ChangeLog]