c = imread('focus.jpg');
I have a 3D array ( image ) in m.file ,I want to use this
array in C++,how can i pass this array to C++ file
thanks in advance
You can call MATLAB Engine directly in C++.
Check out Call MATLAB Functions from C and C++ Applications for more info and examples.
Edit: On the other hand, it seems you don't need to do this, you can simply load this image directly in C++, e.g. using OpenCV.
Related
I have looked extensively in the net, yet not found exactly what I want.
I have a big simulation program that outputs results in a MATLAB M-file (let's call it res.m) and I want to plot the results visually.
I want to start the simulation with C++ many times in a row and therefore want to automatize the plotting of the results.
I come up to two options:
Execute from C++ an Octave or MATLAB script that generates the graph.
-> Haven't found anyone who managed to do so
Use the Octave source files to read the res.m file and output them after with whatever plotting C++ tool.
-> Theoretically possible but I get lost in those files
Is someone able to solve this? Or has a better, easier approach?
The answer is to execute through the terminal.
I didn't manage to actually run a octave script from my c++ program directly, but there is a way around messing with/through the terminal and a extra Octave file. I used in my cpp:
string = "octave myProgr.m"
const char *command = str.c_str();
system(command);
myProgr.m is the script that plots the res.m file
Hi i'm using c python api.
I want to extract function object's source code.
I want pure python code (like def func: ... ) But if it is hard then, i want to
get py byte codes at least.
Here is my c++ code that i get PyCodeObject from PyFunctionObject.
//pObject is PyFunctionObject which is python standard lib's function.
PyFunctionObject* pFunctionObject = (PyFunctionObject*)pObject;
PyCodeObject* codeObject = (PyCodeObject*)pFunctionObject->func_code;
PyObject* strObject = codeObject->co_code; //get code from code object
char * sourceCode = PyString_AsString(strObject); //convert to string
But sourceCode variable(char*) always show only 1 byte.
How should i gonna get this?
There is a lot of ways to do this in python code side, like just use 'dis' or 'inspect' module.
But i want to do this by c python api.
P.S
I guess that the PyCodeObject's co_code member is an byte array.
I used visual studio debug memory view and saw co_code member's adjoined memory byte but it seems like a byte code array(just maybe).
Firstly, PyCodeObject->co_code is the generated byte code, not pure Python source code.
In Python, we could use inspect.getsource to get pure Python source code. And in C, you could also use it via PyObject_CallMethod
I know how to do stuff with Lua states and what not but what i don't understand is how you would distribute the final program with a seperate lua file because say you have a .exe and a lua file in the same directory how would I make it so that it is all one executable like how Löve 2d uses
copy /b
to append the lua file to the Löve 2d interpreter so it can be distributed.
could someone possibly explain how this works.
many thanks
Blazing
You could embed the lua code directly into your C++ source in a raw string literal like so:
const auto lua_code = R"lua(
...lua code here...
)lua";
I am doing image analysis using C++ in the QtCreator environment. In order to build a learning model, I want to use the TreeBagger class from MATLAB, which is really powerful. Can I call MATLAB from QtCreator, give it some parameters, and get back the classification error? Can I do this without using mex files?
From QProcess's Synchronous Process API example:
QProcess gzip;
gzip.start("gzip", QStringList() << "-c");
if (!gzip.waitForStarted())
return false;
gzip.write("Qt rocks!");
gzip.closeWriteChannel();
if (!gzip.waitForFinished())
return false;
QByteArray result = gzip.readAll();
The concept to from this example is the process of being able to execute matlab w/ whatever settings that would be preferable and begin writing a script to it immediately. After the write; you can close the channel, wait for response, then read the results from matlab. Uunfortunately, I'm not experienced w/ it to provide a more direct example, but this is the concept for the most case. Please research the documentation for anything else.
Matlab has an "engine" interface described here to let standalone programs call matlab functions. It has the advantage that you can call engPutVariableand engGetVariable to transfer your data in binary format (I think it works by using shared memory between your process and matlab, but I'm not sure on this), so you don't have to convert your data to ascii and parse the result from ascii.
For c++ you might want to write a wrapper class for RAII or have a look at http://www.codeproject.com/Articles/4216/MATLAB-Engine-API, where this has already been done.
I'm trying to take a matrix from c++ and import it to Matlab to run bintprog on this matrix, call it m. My c++ code generates these matrices of a certain type, and I need to run bintprog on them quickly, and with ideally millions of matrices.
So any of the following would be great:
A way to import a bunch of matrices at once so I can run a lot of iterations thru my Matlab code.
Or
If I could implement Matlab code right in c++ nicely.
If this is not clear leave me comments and I'll update what I can.
You can call Matlab commands from C++ code (and vice versa):
Compile your C++ code into a mex function and call bintprog using mexCallMatlab.
As proposed by Mark, you may call Matlab engine from native C++ code using matlab engine.
You may compile your C++ code as a shared library and call it from Matlab using calllib.
I suggest the simple solution, assuming that your matrices are kept in 3-dimmensional array:
Build a loop in C++, to save your matrices... Something like this:
ofstream arquivoOut0("myMatrices.dat");
for(int m=0;m<numberMatrices;m++){
for (int i=0; i< numberlines;i++){
for(int j=0;j<numberColumns;j++)
if(j!=numberColumns-1) arquivoOut0<< matrices[m][i][j] << "\t";
else arquivoOut0<< matrices[m][i][j] << "\n";
}
}
}
arquivoOut0.close();
Ok. You have saved your matrices in an ascii file! Now you have to read it in Matlab!
load myMatrices.dat
for m=1:numberMatrices
for i=1:numberLines
for j=1:numberColumns
myMatricesInMatlab(m,i,j)=myMatrices((m-1)*numberLines+i,j);
end
end
end
Now, you can use the toolbox that you need:
for i=1:numberMatrices
Apply the toolbox for myMatricesInMatlab(i,:,:);
end
I think it works, it the processing time is not an issue!