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Merge pull request #5757 from alalek:merge-2.4
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@@ -206,7 +206,7 @@ bool CvCascadeClassifier::train( const string _cascadeDirName,
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cout << endl << "===== TRAINING " << i << "-stage =====" << endl;
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cout << "<BEGIN" << endl;
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if ( !updateTrainingSet( tempLeafFARate ) )
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if ( !updateTrainingSet( requiredLeafFARate, tempLeafFARate ) )
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{
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cout << "Train dataset for temp stage can not be filled. "
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"Branch training terminated." << endl;
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@@ -297,17 +297,17 @@ int CvCascadeClassifier::predict( int sampleIdx )
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return 1;
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}
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bool CvCascadeClassifier::updateTrainingSet( double& acceptanceRatio)
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bool CvCascadeClassifier::updateTrainingSet( double minimumAcceptanceRatio, double& acceptanceRatio)
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{
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int64 posConsumed = 0, negConsumed = 0;
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imgReader.restart();
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int posCount = fillPassedSamples( 0, numPos, true, posConsumed );
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int posCount = fillPassedSamples( 0, numPos, true, 0, posConsumed );
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if( !posCount )
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return false;
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cout << "POS count : consumed " << posCount << " : " << (int)posConsumed << endl;
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int proNumNeg = cvRound( ( ((double)numNeg) * ((double)posCount) ) / numPos ); // apply only a fraction of negative samples. double is required since overflow is possible
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int negCount = fillPassedSamples( posCount, proNumNeg, false, negConsumed );
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int negCount = fillPassedSamples( posCount, proNumNeg, false, minimumAcceptanceRatio, negConsumed );
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if ( !negCount )
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return false;
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@@ -317,7 +317,7 @@ bool CvCascadeClassifier::updateTrainingSet( double& acceptanceRatio)
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return true;
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}
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int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositive, int64& consumed )
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int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositive, double minimumAcceptanceRatio, int64& consumed )
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{
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int getcount = 0;
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Mat img(cascadeParams.winSize, CV_8UC1);
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@@ -325,6 +325,9 @@ int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositiv
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{
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for( ; ; )
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{
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if( consumed != 0 && ((double)getcount+1)/(double)(int64)consumed <= minimumAcceptanceRatio )
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return getcount;
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bool isGetImg = isPositive ? imgReader.getPos( img ) :
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imgReader.getNeg( img );
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if( !isGetImg )
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