featureEvaluator = CvFeatureEvaluator::create(cascadeParams.featureType);
featureEvaluator->init( featureParams, numPos + numNeg, cascadeParams.winSize );
stageClassifiers.reserve( numStages );
+ }else{
+ // Make sure that if model parameters are preloaded, that people are aware of this,
+ // even when passing other parameters to the training command
+ cout << "---------------------------------------------------------------------------------" << endl;
+ cout << "Training parameters are pre-loaded from the parameter file in data folder!" << endl;
+ cout << "Please empty this folder if you want to use a NEW set of training parameters." << endl;
+ cout << "---------------------------------------------------------------------------------" << endl;
}
cout << "PARAMETERS:" << endl;
cout << "cascadeDirName: " << _cascadeDirName << endl;