Hi all, I am trying to train my own boosting model, but I encountered Assertion failed on trainning stage.
My program is trying to read a CSV file into cv::Mat and use cv::Mat to be the input of trainning process. Following is my code:
int main(int argc, char *argv[]){
int rows = 10;
int cols = 4;
string pixel;
Mat img(Size(cols,rows),CV_32F);
Mat response(Size(1,rows),CV_32F);
ifstream file("D:/testFile2/test.csv", ifstream::in);
for(int i=0; i(i);
float* data2 = (float*)response.ptr(i);
for(int j=0; j dataset = ml::TrainData::create(img,ml::SampleTypes::ROW_SAMPLE,response);
Ptr boost = ml::Boost::create();
boost->setBoostType(ml::Boost::REAL);
boost->setWeakCount(10);
boost->setMaxDepth(2);
boost->setWeightTrimRate(0.95);
cout<<"Training data: "<getSamples()<getResponses()<(dataset,0);
cout<<"Finished Boosting Trainning!!!"< dataset = ml::TrainData::loadFromCSV("D:/testFile2/test.csv",0,0);
Then, everything is fine, no assertion failed occured.
Does anyone have idea about this? Thanks
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