I want to classify more than one single image with a SVM trained before. I know that there is the
void predict( cv::InputArray samples, cv::OutputArray results )
but I get the following error
OpenCV Error: Incorrect size of input array (Input sample must be 1-dimensional vector) in cvPreparePredictData, file /home/stefan/git_repos/opencv/modules/ml/src/inner_functions.cpp, line 1107
terminate called after throwing an instance of 'cv::Exception'
what(): /home/stefan/git_repos/opencv/modules/ml/src/inner_functions.cpp:1107: error: (-201) Input sample must be 1-dimensional vector in function cvPreparePredictData
if I have :
cv::Mat testPredictions;
Mat samples = testDLN.getBOWDescritprs(); // samples is a 90x150 Mat
m_classifier->predict(samples, &testPredictions);
How shall I classify the set of images? Shall I use a for loop instead?