OpenCV3 FileStorage類讀寫XML/YML檔案

https://www.cnblogs.com/summerRQ/articles/2524560.html

FileStorage fs("test.yml", FileStorage::WRITE);
    fs << "frameCount" << 5;
    time_t rawtime; time(&rawtime);
    fs << "calibrationDate" << asctime(localtime(&rawtime));
    Mat cameraMatrix = (Mat_<double>(3,3) << 1000, 0, 320, 0, 1000, 240, 0, 0, 1); //又一種Mat初始化方式
    Mat distCoeffs = (Mat_<double>(5,1) << 0.1, 0.01, -0.001, 0, 0);
    fs << "cameraMatrix" << cameraMatrix << "distCoeffs" << distCoeffs;
    
    //features為一個大小為3的向量,其中每個元素由随機數x,y和大小為8的uchar數組組成
    fs << "features" << "[";
    for( int i = 0; i < 3; i++ )
    {
        int x = rand() % 640;
        int y = rand() % 480;
        uchar lbp = rand() % 256;
        fs << "{:" << "x" << x << "y" << y << "lbp" << "[:";
        for( int j = 0; j < 8; j++ )
            fs << ((lbp >> j) & 1);
        fs << "]" << "}";
    }
    fs << "]";
    fs.release();
           

FileStorage fs("test.yml", FileStorage::READ);

    //方式一: []操作符
    int frameCount = (int)fs["frameCount"];
    
    //方式二: FileNode::operator >>()
    string date;
    fs["calibrationDate"] >> date;
    
    Mat cameraMatrix2, distCoeffs2;
    fs["cameraMatrix"] >> cameraMatrix2;
    fs["distCoeffs"] >> distCoeffs2;
    
    //注意FileNodeIterator的使用,似乎隻能用一維數組去讀取裡面所有的資料
    FileNode features = fs["features"];
    FileNodeIterator it = features.begin(), it_end = features.end();
    int idx = 0;
    std::vector<uchar> lbpval;
    for( ; it != it_end; ++it, idx++ )
    {
        cout << "feature #" << idx << ": ";
        cout << "x=" << (int)(*it)["x"] << ", y=" << (int)(*it)["y"] << ", lbp: (";
        (*it)["lbp"] >> lbpval;  //直接讀出一維向量

        for( int i = 0; i < (int)lbpval.size(); i++ )
            cout << " " << (int)lbpval[i];
        cout << ")" << endl;
    }
    fs.release();