Opencv XML的读写

清疚 2023-07-03 08:15 9阅读 0赞

# 本文主要使用实际例子分析opencv的XML读写：  #

> 在前文分析了Qt 对XML文件的读写，详细内容见链接：[https://blog.csdn.net/weixin\_38293453/article/details/104173228][https_blog.csdn.net_weixin_38293453_article_details_104173228]
> 
>

添加相opencv xml关头文件：

#include <opencv2/opencv.hpp>

## opencv对XML的写配置文件： ##

写是以数据流的形式进行写配置的，理解了这一点程序就很好理解了。

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void CameraCalibration::saveCameraConfig(const char *path, std::vector<std::string> &cameraParam)
    {
        cv::FileStorage fs(path, cv::FileStorage::WRITE);
    
        fs << "NumOfCorners_for_each_img" << "{:";
            fs << "numOfCornersX" << cameraParam[0] << "numOfCornersY" << cameraParam[1];
        fs<<"}";
    
        fs << "BoardSquare" << "{:";
            fs << "Height" << cameraParam[2] << "Width" << cameraParam[3];
        fs<<"}";
    
        fs << "calibrationPath" << "{:";
            fs << "calibPath" << cameraParam[4] << "exCalibPath" << cameraParam[5];
        fs<<"}";
    
        if(cameraParam.size() == 10)
        {
            fs << "ProjectorImgCorners" << "{:";
                fs << "numOfProjectorImgCornersX" << cameraParam[6] << "numOfProjectorImgCornersY" << cameraParam[7];
            fs<<"}";
    
            fs << "ProjectImgPath" << "{:";
                fs << "Path" << cameraParam[8];
            fs<<"}";
    
            fs << "ProjectHomoDir" << "{:";
                fs << "DirPath" << cameraParam[9];
            fs<<"}";
    
        }
    
        fs.release();
    }

##  opencv对XML的读配置文件： ##

读是以节点Node为单位进行读取的，理解了这一点程序就很好理解了。

void CameraCalibration::loadCameraConfig(const char *path,std::vector<std::string> &cameraParam)
    {
        cv::FileStorage fs(path, cv::FileStorage::READ);
    
        if(!fs.isOpened())
        {
            std::cout << "Failed to open Calibration Data File. " << std::endl;
            return;
        }
        cv::FileNode node = fs["NumOfCorners_for_each_img"];
        node["numOfCornersX"] >> cameraParam[0];
        node["numOfCornersY"] >> cameraParam[1];
    
        node = fs["BoardSquare"];
        node["Height"] >> cameraParam[2];
        node["Width"] >> cameraParam[3];
    
        node = fs["calibrationPath"];
        node["calibPath"] >> cameraParam[4];
        node["exCalibPath"] >> cameraParam[5];
    
        if(cameraParam.size() == 10)
        {
            node = fs["ProjectorImgCorners"];
            node["numOfProjectorImgCornersX"] >> cameraParam[6];
            node["numOfProjectorImgCornersY"] >> cameraParam[7];
    
            node = fs["ProjectImgPath"];
            node["Path"] >> cameraParam[8];
    
            node = fs["ProjectHomoDir"];
            node["DirPath"] >> cameraParam[9];
        }
    
    
        fs.release();
    }

#  下面介绍稍微复杂点的例子，节点带属性，对属性的理解可以参考QT XML。 #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl8zODI5MzQ1Mw_size_16_color_FFFFFF_t_70 1][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl8zODI5MzQ1Mw_size_16_color_FFFFFF_t_70 2][]

## 写XML  ##

void CameraCalibration::saveCalibData(const char *path)
     {
         cv::FileStorage fs(path, cv::FileStorage::WRITE);
    
         fs << "Camera" << "{:";
         fs<< "Calibrated" << camCalibrated << "Matrix" << camMatrix << "Distortion" << distortion<<"Translation"<<translationVector<<"Rotation"<<rotationMatrix;
             fs<<"Height" << camImageSize.height<<"Width" << camImageSize.width<<"total_err" << total_err<<"err_of_extrImg" <<err_of_extrImg;
         fs<<"}";
    
    
         fs << "BoardSquare" << "{:";
             fs << "Height" << squareSize.height << "Width" << squareSize.width;
         fs<<"}";
    
         fs << "NumOfCorners_for_each_img" << "{:";
             fs << "numOfCornersX" << numOfCornersX << "numOfCornersY" << numOfCornersY;
         fs<<"}";
    
         fs << "ExtractedFeatures" << "{:";
    
             fs << "CameraImages" << "{:";
    
                 int size = imgBoardCornersCam.size();
                 fs << "NumberOfImgs" << size;
    
                     for(int i=0; i<imgBoardCornersCam.size(); i++)
                     {
    
                         std::stringstream name;
                         name << "Image" << i+1;
                         fs<<name.str()<< "{:";
    
                             fs<<"BoardCorners"<<imgBoardCornersCam[i];
                             fs<<"ObjBoardCorners"<<objBoardCornersCam[i];
    
                         fs<<"}";
    
                     }
             fs<<"}";
         fs<<"}";
    
         fs.release();
     }

## 读XML  ##

void CameraCalibration::loadCalibData(const char *path)
     {
         cv::FileStorage fs(path, cv::FileStorage::READ);
    
         if(!fs.isOpened())
         {
             std::cout << "Failed to open Calibration Data File. " << std::endl;
             return;
         }
    
         cv::FileNode node = fs["Camera"];
             node["Calibrated"] >> camCalibrated;
             node["Matrix"] >> camMatrix;
             node["Distortion"]>> distortion;
             node["Rotation"]>> rotationMatrix;
             node["Translation"] >> translationVector;
             node["Height"] >> camImageSize.height;
             node["Width"] >> camImageSize.width;
             node["total_err"] >> total_err;
             node["err_of_extrImg"] >> err_of_extrImg;
    
         node = fs["BoardSquare"];
    
             node["Height"] >> squareSize.height;
             node["Width"] >> squareSize.width;
    
         node = fs["NumOfCorners_for_each_img"];
    
             node["numOfCornersX"] >> numOfCornersX;
             node["numOfCornersY"] >> numOfCornersY;
    
    
         cv::FileNode features = fs["ExtractedFeatures"];
    
             cv::FileNode images = features["CameraImages"];
                 int size = images["NumberOfImgs"];
    
                     for(int i=0; i<size; i++)
                     {
                         std::stringstream name;
                         name << "Image" << i+1;
    
                         cv::FileNode image = images[name.str()];
    
                         std::vector<cv::Point2f> in2;
                         std::vector<cv::Point3f> in3;
    
                         image["BoardCorners"]>>in2;
                         imgBoardCornersCam.push_back(in2);
    
                         image["ObjBoardCorners"]>>in3;
                         objBoardCornersCam.push_back(in3);
    
                     }
    
         fs.release();
     }

> 总结：Opencv XML对矩阵、数组的读写具有很大的优势，这是Qt XML所不具备的，因此在实际的应用中，根据具体需求来确定使用那一种XML。

[https_blog.csdn.net_weixin_38293453_article_details_104173228]: https://blog.csdn.net/weixin_38293453/article/details/104173228
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