OpenCV矩阵函数的一个例外
我是 OpenCV 的新手，我即将用它完成我的第一个大程序。事实上，如果没有发生令人讨厌的异常，我会的。这里是： OpenCV 错误：错误标志（参数或结构字段）（无法识别或不支持） ed 数组类型）在未知函数中，文件 ........\ocv\opencv\src\cxcore\cxarr ay.cpp，第 2476 行 这是发生异常的行： cvMatMul(&matIntrinsec, &matExtrinsec, &结果); 对于主题来说，了解这三个矩阵相乘可能也很重要：（因为也许我只是用它们做了一些愚蠢的事情）
基本上对于 matIntrinsec 和 matExtrinsec，我从文件中读取值，该文件工作得很好，我已经测试过了。我将这些值放入二维数组中，然后使用 CvMat 函数构建矩阵
cvInitMatHeader(&matIntrinsec, 3, 3,CV_64FC1 , this->intrinsecos);
cvInitMatHeader(&matExtrinsec, 3, 3,CV_64FC1 , this->extrinsecos);
至于“结果”参数，它基本上是一个统一的 CvMat 变量，用于接收乘法的结果：
CvMat result；
如果这个问题很愚蠢，我感到非常抱歉。但请帮助我！
I am quite a newbie on OpenCV, and I am just about finished my first big program with it. Actually, I would be if a nasty exception wasn't happening. Here it is:
OpenCV Error: Bad flag (parameter or structure field) (Unrecognized or unsupport
ed array type) in unknown function, file ........\ocv\opencv\src\cxcore\cxarr
ay.cpp, line 2476
And here is the line in which the exception happens:
cvMatMul(&matIntrinsec, &matExtrinsec, &result);
It might also be important for the topic to know what are these three matrixes being multiplied:(cause maybe I am just doing something stupid with them)
Basically for matIntrinsec and matExtrinsec, I read values off a file, which is working just fine, I've tested it already. And I put the values in a two dimentional array and then using the CvMat function to build the matrix
cvInitMatHeader(&matIntrinsec, 3, 3,CV_64FC1 , this->intrinsecos);
cvInitMatHeader(&matExtrinsec, 3, 3,CV_64FC1 , this->extrinsecos);
As for the "result" parameter, its basically an unitialized CvMat variable to receive the result from the multiplication:
CvMat result;
I am very sorry if the question is silly. But please help me!
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使用 OpenCV 的 C API 时，必须手动初始化函数的“目标”参数。由于您知道输出的大小，因此可以使用
cvCreateMat()轻松实现。或者，您可以切换到 C++ API，其中函数使用cv::Mat::create()函数自动分配目标矩阵。When using OpenCV's C API, you must manually initialize the "destination" parameters to functions. Since you know the size of the output, you can easily do so with
cvCreateMat(). Alternatively, you could switch to the C++ API, in which functions automatically allocate destination matrices with thecv::Mat::create()function.