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@ -169,6 +169,13 @@ bool CvCascadeClassifier::train( const string _cascadeDirName, |
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featureEvaluator = CvFeatureEvaluator::create(cascadeParams.featureType); |
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featureEvaluator->init( (CvFeatureParams*)featureParams, numPos + numNeg, cascadeParams.winSize ); |
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stageClassifiers.reserve( numStages ); |
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}else{ |
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// Make sure that if model parameters are preloaded, that people are aware of this,
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// even when passing other parameters to the training command
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cout << "---------------------------------------------------------------------------------" << endl; |
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cout << "Training parameters are pre-loaded from the parameter file in data folder!" << endl; |
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cout << "Please empty this folder if you want to use a NEW set of training parameters." << endl; |
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cout << "---------------------------------------------------------------------------------" << endl; |
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} |
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cout << "PARAMETERS:" << endl; |
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cout << "cascadeDirName: " << _cascadeDirName << endl; |
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@ -509,8 +516,6 @@ void CvCascadeClassifier::save( const string filename, bool baseFormat ) |
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bool CvCascadeClassifier::load( const string cascadeDirName ) |
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{ |
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cout << "Training parameters are loaded from the parameter file in data folder!" << endl; |
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cout << "Please empty the data folder if you want to use your own set of parameters." << endl; |
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FileStorage fs( cascadeDirName + CC_PARAMS_FILENAME, FileStorage::READ ); |
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if ( !fs.isOpened() ) |
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return false; |
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