c++multithreadingopencvforeachhtop

OpenCV forEach function parallel access

I'm processing RGB images and doing the same thing for each channel (R+G+B) so I've been looking for parallel functions that could help me improve my code and run it (3*?) faster. Now Im using forEach function like so:

unsigned char lut[256];
for (int i = 0; i < 256; i++)
    lut[i] = cv::saturate_cast<uchar>(pow((float)(i / 255.0), fGamma) * 255.0f); //pow: power exponent

dst.forEach<cv::Vec3b> //dst is an RGB image
(
    [&lut](cv::Vec3b &pixel, const int* po) -> void
    {
        pixel[0] = lut[(pixel[0])];
        pixel[1] = lut[(pixel[1])];
        pixel[2] = lut[(pixel[2])];
    }
);

But when I use htop to see the number of threads running, I only find one or two threads on..

htop

Am I doing something wrong or forEach isn't suppose to run on multi-threading? Do you have any resources to help me with to get to multi-threading computations?

I'm running my code on ubuntu with this:

g++ -std=c++1z -Wall -Ofast -march=native test3.cpp -o test3 `pkg-config --cflags --libs opencv`
Solution

  • Have you taken a look in TBB already? Threading Building Blocks is an apache licensed lib for parallel computing which you can use just compiling OpenCV with the flag -D WITH_TBB=ON

    See this example of parallel_for: http://www.jayrambhia.com/blog/opencv-with-tbb

    If you decide to adopt TBB follow these steps:

    1 - Rebuild OpenCV with TBB support. If you are running into a Linux machine just do:

    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON BUILD_TBB=ON ..

    2 - Rewrite your program to use TBB

    See the answers there: Simplest TBB example focusing in the most recent ones.