OpenCv - Assertion failed in svm train - c++

Question

I can find why i this happening. I have 5 classes and made labels and trainData but it gives assertion failed. Why? Labels are 1x1x884 ( i tried 1x884x1 also, it is the same ), and fmat 1 x 884 x 680400 , all float32. Error is :
and code:
HOGDescriptor hog;
vector<vector< float>> features;
int labels[884] = {};
int brojac = 0;
cv::String path1("C:/Users/Kristina/Desktop/Kompjuterska vizija/PrviProjekat/PrviProjekat/Chihuahua/*.jpg"); //select only jpg
vector<cv::String> fn;
vector<cv::Mat> data;
cv::glob(path1, fn, true); // recurse
for (size_t k = 0; k<fn.size(); ++k)
{
cv::Mat im = cv::imread(fn[k]);
if (im.empty()) continue; //only proceed if sucsessful
// you probably want to do some preprocessing
cvtColor(im, im, CV_RGB2GRAY);
resize(im, im, Size(200, 200));//resize image
vector< float> descriptorsValues;
hog.compute(im, descriptorsValues);
features.push_back(descriptorsValues);
labels[brojac] = 1;
brojac++;
data.push_back(im);
}
cv::String path2("C:/Users/Kristina/Desktop/Kompjuterska vizija/PrviProjekat/PrviProjekat/ShihTzu/*.jpg"); //select only jpg
vector<cv::String> fn2;
vector<cv::Mat> data2;
cv::glob(path2, fn2, true); // recurse
for (size_t k = 0; k<fn2.size(); ++k)
{
cv::Mat im = cv::imread(fn2[k]);
vector< float> descriptorsValues;
if (im.empty()) continue; //only proceed if sucsessful
// you probably want to do some preprocessing
cvtColor(im, im, CV_RGB2GRAY);
resize(im, im, Size(200, 200));//resize image
hog.compute(im, descriptorsValues);
features.push_back(descriptorsValues);
labels[brojac] = 2;
brojac++;
data.push_back(im);
}
cv::String path3("C:/Users/Kristina/Desktop/Kompjuterska vizija/PrviProjekat/PrviProjekat/Yorkshireterrier/*.jpg"); //select only jpg
vector<cv::String> fn3;
vector<cv::Mat> data3;
cv::glob(path3, fn3, true); // recurse
for (size_t k = 0; k<fn3.size(); ++k)
{
vector< float> descriptorsValues;
cv::Mat im = cv::imread(fn3[k]);
if (im.empty()) continue; //only proceed if sucsessful
// you probably want to do some preprocessing
cvtColor(im, im, CV_RGB2GRAY);
resize(im, im, Size(200, 200));//resize image
hog.compute(im, descriptorsValues);
features.push_back(descriptorsValues);
labels[brojac] = 3;
brojac++;
data.push_back(im);
}
cv::String path4("C:/Users/Kristina/Desktop/Kompjuterska vizija/PrviProjekat/PrviProjekat/vizsla/*.jpg"); //select only jpg
vector<cv::String> fn4;
vector<cv::Mat> data4;
cv::glob(path4, fn4, true); // recurse
for (size_t k = 0; k<fn4.size(); ++k)
{
cv::Mat im = cv::imread(fn4[k]);
vector< float> descriptorsValues;
if (im.empty()) continue; //only proceed if sucsessful
// you probably want to do some preprocessing
cvtColor(im, im, CV_RGB2GRAY);
resize(im, im, Size(200, 200));//resize image
hog.compute(im, descriptorsValues);
features.push_back(descriptorsValues);
labels[brojac] = 4;
brojac++;
data.push_back(im);
}
cv::String path5("C:/Users/Kristina/Desktop/Kompjuterska vizija/PrviProjekat/PrviProjekat/pug/*.jpg"); //select only jpg
vector<cv::String> fn5;
vector<cv::Mat> data5;
cv::glob(path5, fn5, true); // recurse
for (size_t k = 0; k<fn5.size(); ++k)
{
cv::Mat im = cv::imread(fn5[k]);
vector< float> descriptorsValues;
if (im.empty()) continue; //only proceed if sucsessful
// you probably want to do some preprocessing
cvtColor(im, im, CV_RGB2GRAY);
resize(im, im, Size(200, 200));//resize image
hog.compute(im, descriptorsValues);
features.push_back(descriptorsValues);
labels[brojac] = 5;
brojac++;
data.push_back(im);
}
Mat labelsMat(884, 1, CV_32FC1, labels);
Mat fmat(features[0].size(), features.size(), CV_32FC1, features.data());
Ptr<SVM> svm = SVM::create();
svm->setType(SVM::C_SVC);
svm->setKernel(SVM::LINEAR);
svm->setTermCriteria(TermCriteria(TermCriteria::MAX_ITER, 100, 1e-6));
svm->train(fmat, ml::SampleTypes::ROW_SAMPLE, labelsMat);