Stefan Isidorovic's profile - activity

Hi, I cloned repo, and install new lib version, and still same error :-/

Thank you very much :D I had serious headache about this one :D

I downloaded library not long after first stable release, at the end of June I think... Did everything go well? I mean did utility produced successfully .xml classifier file?

I should be able to run debugger, I will give it a try when I get back home..

Here is whole project in .tar.gz... https://goo.gl/gWAewI

using TrainingDataType = cv::Ptr<cv::ml::traindata>; Training set is fairly simple, ~45 images, very small set just to see if I get it done. I can zip it all and send :)

During training... Exactly after call of trainAuto. During that method it shows me floating point exception and terminate program.

I changed back from 3.0 version to 2.4 and it worked :)

I am trying to write utility for training svm classifier for image classification in OpenCV3. But I have Floating point exception (core dumped) error during training process.

My main problem is that I don't know, I'm not sure exactly how to form training data to feed svm.train method.

This is code which is forming training data.

TrainingDataType SVMTrainer::prepareDataForTraining() {

    cv::Mat trainingData(m_numOfAllImages, 28*28, CV_32FC1);
    cv::Mat trainingLabels(m_numOfAllImages, 1, CV_32FC1);

    int rowNum = 0;


    // Item is pair of classId (int) and vector of images.
    for(auto item : m_data){
        int classId = item.first;
        for(auto item1 : item.second){
            Mat temp = item1.reshape(1,1);
            temp.copyTo(trainingData.row(rowNum));

            trainingLabels.at<float>(rowNum) = item.first;
            ++rowNum;
        }
    }

    return cv::ml::TrainData::create(trainingData,
                                     cv::ml::SampleTypes::ROW_SAMPLE, 
                                     trainingLabels) ;

}

void SVMTrainer::train(std::string& configPath){
    // Read and store images in memory.
    formClassifierData(configPath);

    m_classifier = cv::ml::SVM::create();
    // Training parameters:
    m_classifier->setType(cv::ml::SVM::C_SVC);
    m_classifier->setKernel(cv::ml::SVM::POLY);
    m_classifier->setGamma(3);  
    m_classifier->setDegree(3);

    TrainingDataType trainData =  prepareDataForTraining();

    m_classifier->trainAuto(trainData);

}

All images are already prepared with dimensions 28*28, black&white.

And actual train call is in this method

Can somebody tell me what I am doing wrong.

Thanks,

Hi,

I am trying to create *.vec file for training classifier.
Problem is that opencv_createsamples tool doesn't show any warning or error, but later when I start opencv_traincascade tool it shows error that there is not enough samples provided.

When I call opencv_createsamples with -show flag it shows only first image. Same happen when I am call it after for created *.vec file.

opencv_createsamples -info pos.info -vec sample.vec -num 500 -w 48 -h 24

Info file name: pos.info
Img file name: (NULL)
Vec file name: sample.vec
BG  file name: (NULL)
Num: 500
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 48
Height: 24
Create training samples from images collection...
Done. Created 500 samples

And pos.file is like this

pos/pos-0.pgm 1 0 0 100 40
pos/pos-100.pgm 1 0 0 100 40
pos/pos-101.pgm 1 0 0 100 40
pos/pos-102.pgm 1 0 0 100 40

Can someone help me?