intel-ipp | 易学教程

Linking of IPP 2018 with mingw

阅读更多关于 Linking of IPP 2018 with mingw

问题 I am trying to use the 2018 version of Intel IPP with mingw, and I have trouble linking the .lib that Intel provides to my program. The program I am compiling is the IPP example at https://software.intel.com/en-us/ipp-dev-guide-building-intel-ipp-applications Here is the makefile: HDIR = "C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018.1.156\windows\ipp\include" LDADD = "C:\Program Files (x86)\IntelSWTools\compilers_and_libraries_2018.1.156\windows\ipp\lib\intel64_win"

Linking of IPP 2018 with mingw

阅读更多关于 Linking of IPP 2018 with mingw

How to disable parallelism in OpenCV?

阅读更多关于 How to disable parallelism in OpenCV?

问题 I've built OpenCV using Intel IPP, so I suppose that whenever possible it's used (e.g. matrix multiplication). 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); 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? 回答1: Re-building OpenCV from source with following

Multi Threading Performance in Multiplication of 2 Arrays / Images - Intel IPP

阅读更多关于 Multi Threading Performance in Multiplication of 2 Arrays / Images - Intel IPP

问题 I'm using Intel IPP for multiplication of 2 Images (Arrays). I'm using Intel IPP 8.2 which comes with Intel Composer 2015 Update 6. I created a simple function to multiply too large images (The whole project is attached, see below). I wanted to see the gains using Intel IPP Multi Threaded Library. Here is the simple project (I also attached the complete project form Visual Studio): #include "ippi.h" #include "ippcore.h" #include "ipps.h" #include "ippcv.h" #include "ippcc.h" #include "ippvm.h

How do I get rid of LD_LIBRARY_PATH at run-time?

阅读更多关于 How do I get rid of LD_LIBRARY_PATH at run-time?

问题 I am building a C++ application that uses Intel's IPP library. This library is installed by default in /opt and requires you to set LD_LIBRARY_PATH both for compiling and for running your software (if you choose the shared library linking, which I did). I already modified my configure.ac / Makefile.am so that I do not need to set that variable when compiling, but I still can't find the shared library at run-time; how do I do that? I'm compiling with the -Wl, -R/path/to/libdir flag using g++

Using OpenCV Mat images with Intel IPP?

阅读更多关于 Using OpenCV Mat images with Intel IPP?

问题 I've recently started using Intel Performance Primitives (IPP) for image processing. For those who haven't heard of IPP, think of IPP as the analogue of MKL for image processing instead of linear algebra. I've already implemented a somewhat complicated vision system in OpenCV, and I'd like to swap out some of the OpenCV routines (e.g. convolution and FFT) for faster IPP routines. My OpenCV code always uses the cv::Mat image data structure. However, based on the IPP code samples, it seems that

How should I interpreter these VTune results?

阅读更多关于 How should I interpreter these VTune results?

问题 I'm trying to parallelyzing this code using OpenMP. OpenCV (built using IPP for best efficiency) is used as external library. I'm having problems unbalanced CPU usage in parallel for s, but it seems that there is no load imbalance. As you will see, this could be because of KMP_BLOCKTIME=0 , but this could be necessary because of external libraries (IPP, TBB, OpenMP, OpenCV). In the rest of the questions you will find more details and data that you can download. These are the Google Drive

How to do un-normalized 2D Cross Correlation in IPP

阅读更多关于 How to do un-normalized 2D Cross Correlation in IPP

问题 I'm doing some C++ optimization work and have need of the plain vanilla version of cross correlation without any mean offset or normalization scaling operations. I know that under normal circumstances with image data the influence of brightness is removed using the above means so that only structural similarity can be discerned but in our application brightness is actually needed. I'm using IPP 7.1, does anybody know if there's a means to do this? The next best thing I'll have to do is write

Multi Threading Performance in Multiplication of 2 Arrays / Images - Intel IPP

阅读更多关于 Multi Threading Performance in Multiplication of 2 Arrays / Images - Intel IPP

I'm using Intel IPP for multiplication of 2 Images (Arrays). I'm using Intel IPP 8.2 which comes with Intel Composer 2015 Update 6. I created a simple function to multiply too large images (The whole project is attached, see below). I wanted to see the gains using Intel IPP Multi Threaded Library. Here is the simple project (I also attached the complete project form Visual Studio): #include "ippi.h" #include "ippcore.h" #include "ipps.h" #include "ippcv.h" #include "ippcc.h" #include "ippvm.h" #include <ctime> #include <iostream> using namespace std; const int height = 6000; const int width =

Using OpenCV Mat images with Intel IPP?

阅读更多关于 Using OpenCV Mat images with Intel IPP?

I've recently started using Intel Performance Primitives (IPP) for image processing. For those who haven't heard of IPP, think of IPP as the analogue of MKL for image processing instead of linear algebra. I've already implemented a somewhat complicated vision system in OpenCV, and I'd like to swap out some of the OpenCV routines (e.g. convolution and FFT) for faster IPP routines. My OpenCV code always uses the cv::Mat image data structure. However, based on the IPP code samples, it seems that IPP prefers the CIppiImage data structure. My system does several image transformations in OpenCV,