如何在OpenCV中禁用并行性?

本文介绍了如何在OpenCV中禁用并行性?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我已经使用Intel IPP构建了OpenCV，所以我想只要有可能就使用它(例如矩阵乘法).

I've built OpenCV using Intel IPP, so I suppose that whenever possible it's used (e.g. matrix multiplication).

我想通过与并行版本进行比较来测试并行应用程序的可伸缩性.为了做到这一点，我什么时候做:

I want to test the scalability of my parallel application by comparing it with a serial version. In order to do so, when it I do:

omp_set_num_threads(1); cv::setNumThreads(1);

但是，通过监视CPU使用率，我看到仍在使用多个CPU.这是为什么?以及如何仅使用一个CPU来强制程序执行?

However, by monitoring the CPU usage I see that multiple CPUs are still used. Why is that? And how can I force the program execution by using just one CPU?

推荐答案

使用以下CMake参数从源重新构建OpenCV应该可以:

Re-building OpenCV from source with following CMake parameters should works:

cmake .. -DWITH_IPP=OFF -DWITH_TBB=OFF -DWITH_OPENMP=OFF -DWITH_PTHREADS_PF=OFF

，您会发现 ="=" nofollow noreferrer>模块/核心/src/parallel.cpp :

#if defined HAVE_TBB # define CV_PARALLEL_FRAMEWORK "tbb" #elif defined HAVE_HPX # define CV_PARALLEL_FRAMEWORK "hpx" #elif defined HAVE_OPENMP # define CV_PARALLEL_FRAMEWORK "openmp" #elif defined HAVE_GCD # define CV_PARALLEL_FRAMEWORK "gcd" #elif defined WINRT # define CV_PARALLEL_FRAMEWORK "winrt-concurrency" #elif defined HAVE_CONCURRENCY # define CV_PARALLEL_FRAMEWORK "ms-concurrency" #elif defined HAVE_PTHREADS_PF # define CV_PARALLEL_FRAMEWORK "pthreads" #endif