RTrees::setCVFolds() causes EXEC_BAD_ACCESS

edit

it would be very nice, if you could come up with some minimal code example (dummy data), so folks here can try to reproduce it, next step (if it turns out to be a bug) would be an official issue here

This code:

auto rtrees = cv::ml::RTrees::create(); 
rtrees->setMaxDepth(depth);
rtrees->setMinSampleCount(samplecount);
rtrees->setRegressionAccuracy(0);
rtrees->setUseSurrogates(false);
rtrees->setMaxCategories(16);
rtrees->setPriors(cv::Mat());
rtrees->setCalculateVarImportance(false);
rtrees->setActiveVarCount(0);
rtrees->setTermCriteria({cv::TermCriteria::MAX_ITER, 100, 0});
//rtrees->setCVFolds(10);

rtrees->train(trainingData32F.colRange(1, trainingData32F.cols),
              cv::ml::ROW_SAMPLE, labels);

works fine. When setCVfolds uncommented it crashes during training withEXEC_BAD_ACCESS