Question

我目前正在为大学开展计算机视觉/机器学习项目。遗憾的是，它们只允许我们上传一个文件并限制计算时间过多。因此，我需要在我的机器上计算矩阵并将它们存储在与代码相同的文件中（22500行，1列和100行+ 22500列和100行+ 1列）。我已经找到了导出数据的方法（link），但我不确定如何初始化矩阵。

我尝试了什么

#include <opencv/cv.h>
#include <opencv/highgui.h>

int main(int argc, char const *argv[])
{
    float data[10] = {1,2,3,4,5,7,8,9,10,11};
    cv::Mat A;

    // Something is wrong with this line
    A = cv::Mat(1, 10, cv::CV_32FC1, data);
    return 0;
}

当我编译它时，我得到：

main.cc: In function ‘int main(int, const char**)’:
main.cc:10:16: error: expected primary-expression before ‘(’ token
     A = cv::Mat(1, 10, cv::CV_32FC1, data);
                ^
In file included from /usr/include/opencv2/core/core_c.h:47:0,
                 from /usr/include/opencv/cv.h:63,
                 from main.cc:1:
main.cc:10:28: error: expected unqualified-id before ‘(’ token
     A = cv::Mat(1, 10, cv::CV_32FC1, data);
                            ^

第二次尝试

#include <opencv/cv.h>
#include <opencv/highgui.h>

int main(int argc, char const *argv[])
{
    float dataHeaderMat1[10] = {1,2,3,4,5,7,8,9,10,11};
    cv::Mat matrix1;

    // Something is wrong with this line
    cv::cvInitMatHeader( &matrix1, 10, 1, CV_64FC1, dataHeaderMat1);
    return 0;
}

给出

main.cc:10:5: error: ‘cvInitMatHeader’ is not a member of ‘cv’
     cv::cvInitMatHeader( &matrix1, 10, 1, CV_64FC1, dataHeaderMat1);
     ^

Answer 1

以下用于声明和初始化矩阵：

#include <opencv/cv.h>
#include <opencv/highgui.h>

int main(int argc, char const *argv[])
{
    float data[10] = {1,2,3,4,5,7,8,9,10,11};
    cv::Mat A;

    // Something is wrong with this line
    A = cv::Mat(1, 10, CV_32FC1, data);
    return 0;
}

但是，我不太确定这是否是大阵列的最佳方式。

Answer 2

您可以尝试将图像保存到头文件，如下所示：

#include <iostream>
#include <vector>
#include <string>
#include <fstream>
#include <opencv2/opencv.hpp>

using namespace cv;
using namespace std;

// uncomment for test
//#include "image.h" 

int main(int argc, char **argv)
{

// This part creates header file from image.
    Mat img=imread("D:\\ImagesForTest\\lena.jpg");
    int w=img.cols;
    int h=img.rows;
    int channels=img.channels();


    ofstream os("image.h");
    os << "int rows=" << h << ";" << endl;
    os << "int cols=" << w << ";" << endl;
    os << "unsigned char d[]={" << endl;

    for(int i=0;i<h;++i)
    {
        for(int j=0;j<w;++j)
        {   

            if(i!=(w-1) || j!=(h-1))
            {
                Vec3b b=img.at<Vec3b>(i,j);
                os << format("0x%02x,",b[0]);
                os << format("0x%02x,",b[1]);
                os << format("0x%02x,",b[2]);
            }
        }
    }

    Vec3b b=img.at<Vec3b>(w-1,h-1);
    os << format("0x%02x,",b[0]);
    os << format("0x%02x,",b[1]);
    os << format("0x%02x",b[2]);
    os <<  endl << "};" << endl;

    os << "Mat I=Mat(rows,cols,CV_8UC3,d);" << endl;
    os.close();
// To test uncomment commented part of code and comment uncommented.

    // uncomment for test
    /*
    namedWindow("I");
    imshow("I",I);
    waitKey();
    return 0;
    */
}

但要小心，并非所有IDE都喜欢这么大的文件。

如何在.cc文件中存储大矩阵？

我尝试了什么

2 个答案: