opencv训练支持向量机的警告

Question

代码如下：

#include <stdio.h>  
#include <time.h>  
#include <opencv2/opencv.hpp>  
#include <opencv/cv.h>  
#include <iostream> 
#include <opencv2/core/core.hpp>  
#include <opencv2/highgui/highgui.hpp>  
#include <opencv2/ml/ml.hpp>  
#include <io.h>

using namespace std;
using namespace cv;

void getFiles( string path, vector<string>& files);
void get_1(Mat& trainingImages, vector<int>& trainingLabels);
void get_0(Mat& trainingImages, vector<int>& trainingLabels);

int main()
{
    //获取训练数据
    Mat classes;
    Mat trainingData;
    Mat trainingImages;
    vector<int> trainingLabels;
    get_1(trainingImages, trainingLabels);
    get_0(trainingImages, trainingLabels);
    Mat(trainingImages).copyTo(trainingData);
    trainingData.convertTo(trainingData, CV_32FC1);
    Mat(trainingLabels).copyTo(classes);
    //配置SVM训练器参数
    CvSVMParams SVM_params;
    SVM_params.svm_type = CvSVM::C_SVC;
    SVM_params.kernel_type = CvSVM::LINEAR; 
    SVM_params.degree = 0;
    SVM_params.gamma = 1;
    SVM_params.coef0 = 0;
    SVM_params.C = 1;
    SVM_params.nu = 0;
    SVM_params.p = 0;
    SVM_params.term_crit = cvTermCriteria(CV_TERMCRIT_ITER, 1000, 0.01);
    //训练
    CvSVM svm;
    svm.train(trainingData, classes, Mat(), Mat(), SVM_params);
    //保存模型
    svm.save("svm.xml");
    cout<<"训练好了！！！"<<endl;
    getchar();
    return 0;
}
void getFiles( string path, vector<string>& files )  
{  
    long   hFile   =   0;  
    struct _finddata_t fileinfo;  
    string p;  
    if((hFile = _findfirst(p.assign(path).append("\\*").c_str(),&fileinfo)) !=  -1)  
    {  
        do  
        {  
            if((fileinfo.attrib &  _A_SUBDIR))  
            {  
                if(strcmp(fileinfo.name,".") != 0  &&  strcmp(fileinfo.name,"..") != 0)  
                    getFiles( p.assign(path).append("\\").append(fileinfo.name), files );  
            }  
            else  
            {  
                files.push_back(p.assign(path).append("\\").append(fileinfo.name) );  
            }  
        }while(_findnext(hFile, &fileinfo)  == 0);  

        _findclose(hFile);  
    }  
} 
void get_1(Mat& trainingImages, vector<int>& trainingLabels)
{
    char * filePath = "D:\\hog1\\pos\\pic"; 
    vector<string> files;  
    getFiles(filePath, files );  
    int number = files.size();  
    for (int i = 0;i < number;i++)  
    {  
        Mat  SrcImage=imread(files[i].c_str());
        SrcImage= SrcImage.reshape(1, 1);
        trainingImages.push_back(SrcImage);
        trainingLabels.push_back(1);
    }  
}
void get_0(Mat& trainingImages, vector<int>& trainingLabels)
{
    char * filePath = "D:\\hog1\\neg"; 
    vector<string> files;  
    getFiles(filePath, files );  
    int number = files.size();  
    for (int i = 0;i < number;i++)  
    {  
        Mat  SrcImage=imread(files[i].c_str());
        SrcImage= SrcImage.reshape(1, 1);
        trainingImages.push_back(SrcImage);
        trainingLabels.push_back(0);
    }  
}

直接填入正负样本图片路径会出现以下错误：

该如何解决？是不是应该输入的是正负样本图片的HOG描述子而不是原图片？

Answer 1

https://blog.csdn.net/qq_15505637/article/details/52918481