Question

最近我正在研究SVM，现在我需要尝试自己的SVM.xml，幸运的是这本书，＃34; Master Opencv with pratical project＆＃34;提供了一个TrainSVM.cpp文件来生成SVM.xml文件，我使用TrainSVM.cpp文件构建一个项目，但是在运行这个项目后没有生成任何内容，我怎么能得到这个SVM.xml文件？代码如下：

#include <cv.h>
 #include <highgui.h>
 #include <cvaux.h>

 #include <iostream>
 #include <vector>

 using namespace std;
 using namespace cv;

 int main ( int argc, char** argv )
 {
    cout << "OpenCV Training SVM Automatic Number Plate Recognition\n";
    cout << "\n";

    char* path_Plates;
    char* path_NoPlates;
    int numPlates;
    int numNoPlates;
    int imageWidth=144; 
    int imageHeight=33; 

    //Check if user specify image to process
    if(argc >= 5 )
    {
        numPlates= atoi(argv[1]);
        numNoPlates= atoi(argv[2]);
        path_Plates= argv[3];
        path_NoPlates= argv[4];

    }else
    {
        cout << "Usage:\n" << argv[0] << " <num Plate Files> <num Non Plate Files> <path to plate folder files> <path to non plate files> \n";
        return 0;
    }        

    Mat classes;//(numPlates+numNoPlates, 1, CV_32FC1);
    Mat trainingData;//(numPlates+numNoPlates, imageWidth*imageHeight, CV_32FC1    );

    Mat trainingImages;
    vector<int> trainingLabels;

    for(int i=0; i< numPlates; i++)
    {

        stringstream ss(stringstream::in | stringstream::out);
        ss << path_Plates << i << ".jpg";
        Mat img=imread(ss.str(), 0);
        img= img.reshape(1, 1);
        trainingImages.push_back(img);
        trainingLabels.push_back(1);
    }

    for(int i=0; i< numNoPlates; i++)
    {
        stringstream ss(stringstream::in | stringstream::out);
        ss << path_NoPlates << i << ".jpg";
        Mat img=imread(ss.str(), 0);
        img= img.reshape(1, 1);
        trainingImages.push_back(img);
        trainingLabels.push_back(0);

    }

    Mat(trainingImages).copyTo(trainingData);
    //trainingData = trainingData.reshape(1,trainingData.rows);
    trainingData.convertTo(trainingData, CV_32FC1);
    Mat(trainingLabels).copyTo(classes);

    FileStorage fs("SVM.xml", FileStorage::WRITE);
    fs << "TrainingData" << trainingData;
    fs << "classes" << classes;
    fs.release();

    return 0;
    }

Answer 1

首先，您需要在两个目录（例如目录名0.jpg和1.jpg中添加一些名为n.jpg pos ... neg的正面和负面图像，你有30个正面和30个负面图像）

你应该运行像

这样的程序

trainSVM 30 30 ./pos/ ./neg/

我看了mentioned book's repo。没有样本正面和最初的图像。我准备了样本图像进行测试。你可以找到here

输出SVM.xml包含TrainingData和标签。你应该训练SVM使用它。看main.cpp

无法生成SVM.xml文件

1 个答案: