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@@ -281,7 +281,7 @@ void SemSegCsurka::convertLowToHigh ( Examples &ex, double reduce )
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vector<bool> del ( ex.size(), false );
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cout << "Example size old " << ex.size() << endl;
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-#pragma omp parallel for
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+//#pragma omp parallel for
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for ( int i = 0; i < ( int ) ex.size(); i++ )
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{
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double rval = ( double ) rand() / ( double ) RAND_MAX;
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@@ -1488,10 +1488,10 @@ void SemSegCsurka::classifyregions ( CachedExample *ce, NICE::Image & segresult,
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if ( classifier != NULL )
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{
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clog << "[log] SemSegCsruka::classifyregions: Wahrscheinlichkeitskarten erstellen: classifier != NULL" << endl;
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-#pragma omp parallel for
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+//#pragma omp parallel for
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for ( int s = 0; s < scalesize; s++ )
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{
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-#pragma omp parallel for
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+//#pragma omp parallel for
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for ( int i = s; i < ( int ) pce.size(); i += scalesize )
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{
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ClassificationResult r = classifier->classify ( pce[i].second );
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@@ -1507,10 +1507,10 @@ void SemSegCsurka::classifyregions ( CachedExample *ce, NICE::Image & segresult,
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}
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else
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{
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-//#pragma omp parallel for
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+////#pragma omp parallel for
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for ( int s = 0; s < scalesize; s++ )
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{
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-//#pragma omp parallel for
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+////#pragma omp parallel for
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for ( int i = s; i < ( int ) pce.size(); i += scalesize )
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{
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ClassificationResult r = vclassifier->classify ( * ( pce[i].second.vec ) );
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@@ -1539,7 +1539,7 @@ void SemSegCsurka::classifyregions ( CachedExample *ce, NICE::Image & segresult,
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{
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double sigma = sigmaweight * 16.0 * scalesVec[s];
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cerr << "sigma: " << sigma << endl;
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-#pragma omp parallel for
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+//#pragma omp parallel for
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for ( int i = 0; i < klassen; i++ )
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{
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int pos = i + s * klassen;
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@@ -1582,7 +1582,7 @@ void SemSegCsurka::classifyregions ( CachedExample *ce, NICE::Image & segresult,
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// Zusammenfassen und auswerten
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clog << "[log] SemSegCsruka::classifyregions: Wahrscheinlichkeitskarten erstellen -> zusammenfassen und auswerten" << endl;
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-#pragma omp parallel for
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+//#pragma omp parallel for
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for ( int x = 0; x < xsize; x++ )
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{
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for ( int y = 0; y < ysize; y++ )
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