I am trying to execute based on example code:
using namespace cv;
using namespace cv::ml;
// mat is a Mat containing the features computed beforehand
Ptr<EM> model = EM::create();
model->setClustersNumber(static_cast<int>(m_numberClusters));
Mat logs, labels, probs;
model->trainEM(mat, logs, labels, probs);
setClustersNumber gives a segmentation fault, if commented out then trainEM does. Debugging reveals, that those are pure virtual functions, which is in coincidence with OpenCV API.
See here:
Nevertheless I do not find any implementation class having those pure virtual functions nor other examples for Expectation Maximization by OpenCV with 3.x.x versions.
