Question

属于OpenCV 3.1和Qt-Creator的实际问题。根据{{3}}报告，我试图在我自己的项目中实施。

如果我想训练我的SVM，我会得到以下错误：

OpenCV错误：断言失败（samples.type（）== CV_32F || samples.type（）== CV_32S）在setData中，文件C：... \ opencv-master \ modules \ ml \ src \ data。 cpp，第259行

我的部分代码如下所示。

int num_files = 205;
int img_area = 55*66;
Mat training_mat(num_files,img_area, CV_32FC1);
vector<int> label;

//Labels: 1-138 == 1 | 139-205 == 0
for(int i = 0; i < 139; i++)
{
    label.push_back(1);
}
for(int i = 139; i < 206; i++)
{
    label.push_back(0);
}

Mat classes;
Mat(label).copyTo(classes);

// Imread Pictures

for(int c = 1; c < num_files; c++)
{
    ostringstream name;
    name << "../Name_" << c << ".png";
    img_mat = imread(name.str(),0);
    int ii = 0; 
    for (int i = 0; i < img_mat.rows; i++)
    {
        for (int j = 0; j < img_mat.cols; j++)
        {
            training_mat.at<float>(c,ii++) = (float)img_mat.at<uchar>(i,j);
        }
    }
}

training_mat.convertTo(training_mat, CV_32FC1);

我将数据写入带有以下参数的.xml文件：

FileStorage fs("train_SVM.xml", FileStorage::WRITE);
        fs << "ImagesCount" << num_files;
        time_t rawtime; time(&rawtime);
        fs << "createDate" << asctime(localtime(&rawtime));
        fs << "TrainingData" << training_mat;
        fs << "classes" << classes;
        fs.release();

使用以下代码训练SVM：

//Read file storage.
    FileStorage fs;
    fs.open("train_SVM.xml", FileStorage::READ);
    Mat SVM_TrainingData;
    Mat SVM_Classes;    
    fs["TrainingData"] >> SVM_TrainingData; 
    fs["classes"] >> SVM_Classes; 
    Ptr<ml::SVM> svm = ml::SVM::create();
    //Set SVM params
    svm->setType(ml::SVM::C_SVC);
    svm->setKernel(ml::SVM::LINEAR);
    svm->setDegree(0);
    svm->setGamma(1);
    svm->setCoef0(0);
    svm->setC(1);
    svm->setNu(0);
    svm->setP(0);
    svm->setTermCriteria(TermCriteria(CV_TERMCRIT_ITER, 1000, 0.01));
    //Train SVM
    svm->train( SVM_TrainingData, ml::ROW_SAMPLE , SVM_Classes );

你知道具体问题是什么吗？

训练SVM OpenCV 3.1 - 断言失败

0 个答案: