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Merge pull request #5757 from alalek:merge-2.4

This commit is contained in:
Vadim Pisarevsky
2015-12-08 11:51:29 +00:00
15 changed files with 210 additions and 116 deletions
+8 -5
View File
@@ -206,7 +206,7 @@ bool CvCascadeClassifier::train( const string _cascadeDirName,
cout << endl << "===== TRAINING " << i << "-stage =====" << endl;
cout << "<BEGIN" << endl;
if ( !updateTrainingSet( tempLeafFARate ) )
if ( !updateTrainingSet( requiredLeafFARate, tempLeafFARate ) )
{
cout << "Train dataset for temp stage can not be filled. "
"Branch training terminated." << endl;
@@ -297,17 +297,17 @@ int CvCascadeClassifier::predict( int sampleIdx )
return 1;
}
bool CvCascadeClassifier::updateTrainingSet( double& acceptanceRatio)
bool CvCascadeClassifier::updateTrainingSet( double minimumAcceptanceRatio, double& acceptanceRatio)
{
int64 posConsumed = 0, negConsumed = 0;
imgReader.restart();
int posCount = fillPassedSamples( 0, numPos, true, posConsumed );
int posCount = fillPassedSamples( 0, numPos, true, 0, posConsumed );
if( !posCount )
return false;
cout << "POS count : consumed " << posCount << " : " << (int)posConsumed << endl;
int proNumNeg = cvRound( ( ((double)numNeg) * ((double)posCount) ) / numPos ); // apply only a fraction of negative samples. double is required since overflow is possible
int negCount = fillPassedSamples( posCount, proNumNeg, false, negConsumed );
int negCount = fillPassedSamples( posCount, proNumNeg, false, minimumAcceptanceRatio, negConsumed );
if ( !negCount )
return false;
@@ -317,7 +317,7 @@ bool CvCascadeClassifier::updateTrainingSet( double& acceptanceRatio)
return true;
}
int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositive, int64& consumed )
int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositive, double minimumAcceptanceRatio, int64& consumed )
{
int getcount = 0;
Mat img(cascadeParams.winSize, CV_8UC1);
@@ -325,6 +325,9 @@ int CvCascadeClassifier::fillPassedSamples( int first, int count, bool isPositiv
{
for( ; ; )
{
if( consumed != 0 && ((double)getcount+1)/(double)(int64)consumed <= minimumAcceptanceRatio )
return getcount;
bool isGetImg = isPositive ? imgReader.getPos( img ) :
imgReader.getNeg( img );
if( !isGetImg )