如何將cv::Mat型別序列化

使用Boost的serialization庫。
官方說明在這裡

下面就是採用的非入侵方法給Mat增加序列化功能的程式碼

#include <opencv2/opencv.hpp>
#include <boost/archive/text_oarchive.hpp>
#include <boost/archive/text_iarchive.hpp>
using namespace cv;

namespace boost {
    namespace serialization {
        template<class
 
 Archive>
        void serialize(Archive &ar, cv::Mat& mat, const unsigned int)
        {
            int cols, rows, type;
            bool continuous;

            if (Archive::is_saving::value) {
                cols = mat.cols; rows = mat.rows; type = mat.type();
                continuous = mat.isContinuous();
            }

            ar & cols & rows & type & continuous;

            if
 
 (Archive::is_loading::value)
                mat.create(rows, cols, type);

            if (continuous) {
                const unsigned int data_size = rows * cols * mat.elemSize();
                ar & boost::serialization::make_array(mat.ptr(), data_size);
            }
            else {
                const
 
 unsigned int row_size = cols*mat.elemSize();
                for (int i = 0; i < rows; i++) {
                    ar & boost::serialization::make_array(mat.ptr(i), row_size);
                }
            }

        }
    }
}

使用：

Mat object_color = imread("img.JPG");
imshow("origin", object_color);
// create and open a character archive for output
std::ofstream ofs("test.txt");

// save data to archive
{
    boost::archive::text_oarchive oa(ofs);
    // write class instance to archive
    oa << object_color;
}
ofs.close();
Mat loaded_s;
{
    // archive and stream closed when destructors are called
    std::ifstream ifs("test.txt");
    boost::archive::text_iarchive ia(ifs);
    // read class state from archive

    ia >> loaded_s;
}

imshow("loaded",loaded_s);
waitKey(0);