CODEWITHSUNDEEP
c++xmlopencvfilesystemslibsvm
skm
skm

Reputation: 5679

SVM classifier is not getting saved in ".xml"?

I am trying to train a SVM with SIFT descriptors taken from images. And then i want to save the SVM in .xml format so that i can load it again.

My structure: I have 10 classes with 100 samples from each class.

Question: If i use 10-50 samples for each class then the SVM gets saved and i can see a classifer.xml file in my folder. But if i want to use more samples e.g. ~100 samples per class, then the SVM is not getting saved.

I thought that it might take some time for it to save but i have already waited for so long (and i have done it several times).

My code for SVM training is following:

void svm::svmTrain()
{
    cv::Mat trainme;        // it should contain the feature vectors
    cv::Mat labels; // it will contain the class labels

    createTrainingDateUsingBOW( trainme, labels);       

    //svm parameters
    CvTermCriteria criteria = cvTermCriteria(CV_TERMCRIT_EPS, 1000, FLT_EPSILON);
    CvSVMParams svm_params = CvSVMParams (CvSVM::C_SVC, CvSVM::POLY, 10.0   ,  8.0   , 1.0   , 10.0  , 0.5 , 0.1 , NULL         , criteria); //CvSVMParams --it is a struct
                                       //( svm_type,    kernel_type, degree , gamma , coef0 , Cvalue, nu   , p  , class_weights, term_crit)

    cout<<"\n saving SVM \n";

    cv::SVM svm;
    svm.train(trainme, labels, cv::Mat(), cv::Mat(), svm_params);
    svm.save("classifier.xml");

    cout<<"\n SVM classifier is saved.";

}

PS: So if my samples are more 40-60 per class then, i reach upto saving SVM from the above code but never reach to SVM classifier is saved.

Upvotes: 0

Views: 2021

Answers (1)

4nonymou5
4nonymou5

Reputation: 326

try this replacement, you ll find that, its taking too much time for training, after training, it hardly takes a minute to save the file.

cout<<"\n training SVM \n";

cv::SVM svm;
svm.train(trainme, labels, cv::Mat(), cv::Mat(), svm_params);
cout<<"\n saving SVM \n";
svm.save("classifier.xml");

cout<<"\n SVM classifier is saved.";

I never personally experienced with SVM but, with as many as 1000 samples, it won't train in less than an hour. In my case when i tried things for fishers with similar number of samples, it took more than 2-3 hours.

Upvotes: 1

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