구차니의 잡동사니 모음

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]

그냥 콘솔창에서도 사용이 가능해 보이니 돌려볼까..

[링크 : http://linuxpoison.blogspot.kr/2010/06/cppcheck-tool-for-static-c-c-code.html]

[링크 : http://cppcheck.sourceforge.net/]

[링크 : http://cppcheck.sourceforge.net/demo/]

우분투에서는 cppcheck 라는 이름으로 있군..

[링크 : http://packages.ubuntu.com/precise/devel/cppcheck]

-s를 써보라고 예제가 써있어서 해봤더니 style 체크.. 하지만 deprecated라 경고가 뜬다.

    -s, --style          Deprecated, please use '--enable=style' instead

의외로 경고 뿜뿜을 안해서 실망.. 복잡한 코드를 돌려봐야 하려나?

암튼. make 처럼 -j 옵션을 지원한다.

3.0.0... 세상은 날 기다려 주지 않는구만 -_-

[링크 : http://opencv.org/downloads.html]

라즈베리 파이에서 사용중인 2.4.1은.. 2012년 6월 버전인가? ㄷㄷㄷ

[링크 : https://github.com/Itseez/opencv/tree/2.4.1]

June, 2015

These are changes since 3.0 rc1.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Over 200 bugs reported at http://code.opencv.org/projects/opencv/issues have been resolved/closed. It includes many fixes in docs, build scripts, python wrappers, core, imgproc, photo, features2d, objdetect, contrib modules, as well as some performance improvements etc.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Added pthreads-based backend for cv::parallel_for_. It means that all the parallel processing should be available out-of-the-box on any POSIX-compatible OS, including QNX and such. You are welcome to try it out.

Improved compatibility with OpenCV 2.4:

2.4.11 now includes “opencv2/core.hpp” and other such headers in addition to standard “opencv2/core/core.hpp”.

smart pointers (Ptr<>) can now be created in both 2.4 and 3.0 style (new ClassName(params) vs makePtr(params))

trained and stored stat models from opencv_ml 2.4 can now be loaded and used by opencv_ml 3.0 as-is.

the 2.4=>3.0 transition guide has been sketched: http://docs.opencv.org/master/db/dfa/tutorial_transition_guide.html

[링크 : https://github.com/Itseez/opencv/wiki/ChangeLog]

2.4 -> 3.0 가이드

[링크 : http://docs.opencv.org/master/db/dfa/tutorial_transition_guide.html]