Formation du SVM avec des images positives et négatives

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Je suivais this code.Formation du SVM avec des images positives et négatives

#include <opencv2/core/core.hpp> 
#include <opencv2/imgproc/imgproc.hpp> 
#include <opencv2/highgui/highgui.hpp> 
#include <cv.h> 
#include <highgui.h> 
#include <cvaux.h> 
#include <iostream> 
#include <vector> 
#include<string.h> 
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(1) 
    { 
     numPlates= 11; 
     numNoPlates= 29; 
     path_Plates= "/home/kaushik/opencv_work/Manas6/Pics/Positive_Images/"; 
     path_NoPlates= "/home/kaushik/opencv_work/Manas6/Pics/Negative_Images/"; 

    }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=1; i<= numPlates; i++) 
    { 

     stringstream ss(stringstream::in | stringstream::out); 
     ss<<path_Plates<<i<<".jpg"; 
     try{ 

      const char* a = ss.str().c_str(); 
      printf("\n%s\n",a); 
      Mat img = imread(ss.str(), CV_LOAD_IMAGE_UNCHANGED); 
      img= img.clone().reshape(1, 1); 
      //imshow("Window",img); 
      //cout<<ss.str(); 
      trainingImages.push_back(img); 
      trainingLabels.push_back(1); 
     } 
     catch(Exception e){;} 
    } 

    for(int i=0; i< numNoPlates; i++) 
    { 
     stringstream ss(stringstream::in | stringstream::out); 
     ss << path_NoPlates << 0<<i << ".bmp"; 
     try 
     { 
      const char* a = ss.str().c_str(); 
      printf("\n%s\n",a); 
      Mat img=imread(ss.str(), 0); 
      //imshow("Win",img); 
      img= img.clone().reshape(1, 1); 
      trainingImages.push_back(img); 
      trainingLabels.push_back(0); 
      //cout<<ss.str(); 
     } 
     catch(Exception e){;} 
    } 

    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; 
}

J'obtiens l'erreur dans l'erreur fonction.Procédé repoussage() est aussi followes Je veux savoir la raison de cette erreur. Taille des arguments d'entrée ne correspondent pas à push_back(), line821 /-/-/src/matrix.cpp

Source

2015-12-08 Kaushik Nath