每次迭代发送一个矩阵:Matlab“engine.h"；C++
这个问题是在解决了我在这个问题.我有一个 c++ 代码，它处理来自相机的帧并为每个处理的帧生成一个矩阵.我想将每个矩阵发送到 matlab 引擎，所以在执行结束时我存储了所有矩阵.我对如何做到这一点感到困惑，我在每次迭代中发送一??个矩阵，但它一直在覆盖它，所以最后我只有一个.这是一个代码示例:
This question comes after solving the problem I got in this question. I have a c++ code that processes frames from a camera and generates a matrix for each processed frame. I want to send to matlab engine each matrix, so at the end of the execution I have in stored all the matrices. I am conffused about how to do this, I send a matrix in each iteration but it is overwritting it all the time, so at the end I only have one. Here is a code example:
矩阵.cpp
#include helper.h
mxArray *mat;
mat = mxCreateDoubleMatrix(13, 13, mxREAL);
memcpy(mxGetPr(mat),matrix.data, 13*13*sizeof(double));
engPutVariable(engine, "mat", mat);
我还尝试使用计数器来动态命名不同的矩阵，但它不起作用，因为 matlab 引擎需要首先定义变量.任何帮助将不胜感激.谢谢.
I also tried to use a counter to dinamically name the different matrices, but it didn't work as matlab engine requires the variables to be defined first. Any help will be appreciated. Thanks.
推荐答案
如果不知道先验帧数，就不要尝试在C中扩展mxArray，不方便.你已经接近开始了.您的所有问题都可以通过以下方式解决:
If you don't know the number of frames a priori, don't try to expand the mxArray in C. It is not convenient. You were already close to start. All your problems can be solved with:
engEvalString(engine, "your command here")
阅读更多这里.
最简单的方法是这样的:
The simplest approach is something like:
engPutVariable(engine, "mat", mat);
engEvalString("frames{length(frames)+1} = mat;");
不要完全那样做，这是一个插图，会很慢.预先分配好得多，比如 1000 帧，然后在需要时再扩展 1000(或更合适的数字).更好的是不使用速度较慢的单元阵列.相反，您可以使用 3D 数组，例如:
Don't do it exactly that, it is an illustration and will be very slow. Much better to preallocate, say 1000 frames then expand it another 1000 (or a more appropriate number) when needed. Even better is to not use cell arrays which are slow. Instead you could use a 3D array, such as:
frames = zeros(13,13,1000);
frames(:,:,i) = mat;
i = i + 1;
再次，以块为单位进行预分配.你明白了.如果您真的需要快速，您可以在 C 中构建 3D 数组，并在它们填满时将它们发送到 MATLAB.
Again, preallocate in blocks. You get the idea. If you really need to be fast, you could build the 3D arrays in C and ship them to MATLAB when they fill.
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