Sol*_*ong 4 matlab matlab-deployment matlab-compiler
这个问题的起源是从这里如何在c中调用的matlab函数中使用"全局静态"变量.
我试图将"全局变量"封装到一个对象中.但是我不知道如何使用MATLAB Compiler(mcc)将matlab类导出到c ++
为此,我尝试了标准命令
mcc -W cpplib:Vowel4 -T link:lib Vowel4.m
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classdef Vowel4
properties
x
y
end
methods
Vowel4
A
B
end
end
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生成的lib实际上是独立的函数而不是c ++类.
如何将Matlab中的类编译成c ++类?
我一直在寻找答案,但没有找到答案.
显然matlab命令不适合这种情况.但是我找不到有关将matlab类构建到c ++类中的任何信息.
==========================编辑======================= =
实际的cpp代码如下:@Alan
mclInitializeApplication(NULL, 0);
loadDataInitialize();
soundByCoefInitialize();
loadData();
mwArray F(4, 1, mxDOUBLE_CLASS);
float test[4];
for ( ;; ){
const Frame frame = controller.frame();
const FingerList fingers = frame.fingers();
if ( !fingers.empty() ){
for ( int i = 0; i < 4; i ++ ){
double v = fingers.count() > i ? (fingers[i].tipPosition().y / 50) - 2 : 0;
F(i+1,1) = v;
test[i] = v;
cout << v << ' ';
}
cout << endl;
soundByCoef(F);
}
}
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这里matlabA()对应于loadData(),它加载数据,soundByCoef(F)对应于matlabB(),它在主循环中完成工作.
正如Alan所说,我只是建议使用handle类作为全局变量的容器(这样的对象将通过引用传递).创建的对象不是由C++代码直接操作的(它将存储在通用的mxArray/mwArray
C/C++结构中).
据如我所知,你不能直接建立使用MATLAB编译共享库时编译classdef风格MATLAB类为适当的C++类.它只支持构建常规功能.您可以为MATLAB类成员方法创建功能接口,但这是一个不同的故事......
也许一个完整的例子可以帮助说明我的想法.首先让我们在MATLAB端定义代码:
这是用于存储全局变量的句柄类.
classdef GlobalData < handle
%GLOBALDATA Handle class to encapsulate all global state data.
%
% Note that we are not taking advantage of any object-oriented programming
% concept in this code. This class acts only as a container for publicly
% accessible properties for the otherwise global variables.
%
% To manipulate these globals from C++, you should create the class API
% as normal MATLAB functions to be compiled and exposed as regular C
% functions by the shared library.
% For example: create(), get(), set(), ...
%
% The reason we use a handle-class instead of regular variables/structs
% is that handle-class objects get passed by reference.
%
properties
val
end
end
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一个包装函数,充当上述类的构造函数
function globals = create_globals()
%CREATE_GLOBALS Instantiate and return global state
globals = GlobalData();
globals.val = 2;
end
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MATLAB函数作为C++函数公开
function out = fcn_add(globals, in)
% receives array, and return "input+val" (where val is global)
out = in + globals.val;
end
function out = fcn_times(globals, in)
% receives array, and return "input*val" (where val is global)
out = in .* globals.val;
end
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将上述文件存储在当前目录中,让我们使用MATLAB编译器构建C++共享库:
>> mkdir out
>> mcc -W cpplib:libfoo -T link:lib -N -v -d ./out create_globals.m fcn_add.m fcn_times.m
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您应该期望以下生成的文件(我在Windows机器上):
./out/libfoo.h
./out/libfoo.dll
./out/libfoo.lib
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接下来,我们可以创建一个示例C++程序来测试库:
// Sample program that calls a C++ shared library created using
// the MATLAB Compiler.
#include <iostream>
using namespace std;
// include library header generated by MATLAB Compiler
#include "libfoo.h"
int run_main(int argc, char **argv)
{
// initialize MCR
if (!mclInitializeApplication(NULL,0)) {
cerr << "Failed to init MCR" << endl;
return -1;
}
// initialize our library
if( !libfooInitialize() ) {
cerr << "Failed to init library" << endl;
return -1;
}
try {
// create global variables
mwArray globals;
create_globals(1, globals);
// create input array
double data[] = {1,2,3,4,5,6,7,8,9};
mwArray in(3, 3, mxDOUBLE_CLASS, mxREAL);
in.SetData(data, 9);
// create output array, and call library functions
mwArray out;
fcn_add(1, out, globals, in);
cout << "Added matrix:\n" << out << endl;
fcn_times(1, out, globals, in);
cout << "Multiplied matrix:\n" << out << endl;
} catch (const mwException& e) {
cerr << e.what() << endl;
return -1;
} catch (...) {
cerr << "Unexpected error thrown" << endl;
return -1;
}
// destruct our library
libfooTerminate();
// shutdown MCR
mclTerminateApplication();
return 0;
}
int main()
{
mclmcrInitialize();
return mclRunMain((mclMainFcnType)run_main, 0, NULL);
}
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让我们构建独立程序:
>> mbuild -I./out main.cpp ./out/libfoo.lib -outdir ./out
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最后运行可执行文件:
>> cd out
>> !main
Added matrix:
3 6 9
4 7 10
5 8 11
Multiplied matrix:
2 8 14
4 10 16
6 12 18
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HTH