How to generate mex for openCV's 'imdecode' for CPU and GPU?

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I want to generate mex funtion for 'imdecode'.
First for CPU and then for GPU(GPU, if possible).
I have already downloaded 'OpenCV Interface Support'. But it lacks in some libraries. E.g. mexOpenCV.m shows..
% Libraries that are not included:
% opencv_highgui, opencv_imgcodecs, opencv_videoio, opencv_cudacodec
And I think, openCV's 'imdecode' contains in "opencv_highgui, opencv_imgcodecs".
How can this libraries be added permanently in MATLAB?
and
Is it possible to avail GPU performance benefits for this particular purpose?
Thank you

Answers (2)

Hitesh Kumar Dasika
Hitesh Kumar Dasika on 18 Jan 2019
Some libraries are not included because of dependency on other third party libraries. The functionality offered by these libraries can also be found in Image processing toolbox as well. You can make use of that.
  2 Comments
JAI PRAKASH
JAI PRAKASH on 18 Jan 2019
I want to decode jpg data.
Jpg data which are in 'uint8' bits form.
In openCV imdecode is designed for this purpose. But I am searching for a function which can give better performnace than imdecode.
I searched 'MANGO' library is fastest.
Is there any way I can use mango library through MATLAB?
Hitesh Kumar Dasika
Hitesh Kumar Dasika on 21 Jan 2019
You can make use of the below mentioned MATLAB function to load a C library into MATLAB and use it.

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Joss Knight
Joss Knight on 19 Jan 2019
You can just download and use OpenCV yourself, and link in whatever libraries you need on the compile line. This blog post gives an example; it's a bit out of date because it uses MEX instead of MEXCUDA (so now you don't need to copy across the mex options file) but it's a workflow you can follow.
  2 Comments
JAI PRAKASH
JAI PRAKASH on 28 Jan 2019
How can I use nvJPEG libraries to decode image from jpeg's buffer?
e.g. nvjpegDecode(); and so on....??
I can do this easily using OpenCV lib, below is my 'imdecode.cpp'
#include "opencvmex.hpp"
#include "opencv2/imgcodecs.hpp"
#define _DO_NOT_EXPORT
#if defined(_DO_NOT_EXPORT)
#define DllExport
#else
#define DllExport __declspec(dllexport)
#endif
using namespace cv;
using namespace std;
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
cv::Ptr<cv::Mat> rawData = ocvMxArrayToImage_uint8(prhs[0]);
Mat frame = imdecode(*rawData, -1);
plhs[0] = ocvMxArrayFromImage_uint8(frame);
}
An then compiling and calling
mexOpenCV imdecode.cpp
im=imdecode(bufferData); % bufferData is bits in uint8
cui,xingxing
cui,xingxing on 26 Sep 2020
Which static library file do I need to specify when I use ocvMxArrayToImage_uint8()? libmat.lib, libmx.lib, libmex.lib, libeng.lib? These 4 library files are not enough, these libraries are located in "C:\Program Files\MATLAB\R2020b\extern\lib\win64\microsoft", there are so many I don’t know which one to choose? thanks!
Similar questions refer to this link.

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