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fix a bug in updateTrainingSet

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In case fillPassedSamples find zero passed negatives and leafFA is achieved, function updateTrainingSet will return false and print misleading information, this PR fix the case.
This commit is contained in:
Teng Cao 2015-12-24 10:26:42 +08:00
parent 9c58741dba
commit 25b044e6c3
1 changed files with 2 additions and 1 deletions
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apps/traincascade/cascadeclassifier.cpp
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@ -309,7 +309,8 @@ bool CvCascadeClassifier::updateTrainingSet( double minimumAcceptanceRatio, doub
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, minimumAcceptanceRatio, negConsumed );
if ( !negCount )
return false;
if ( !(negConsumed > 0 && ((double)negCount+1)/(double)negConsumed <= minimumAcceptanceRatio) )
return false;
curNumSamples = posCount + negCount;
acceptanceRatio = negConsumed == 0 ? 0 : ( (double)negCount/(double)(int64)negConsumed );