Bjoern Froehlich 13 лет назад
Родитель
Сommit
637a9e70db
1 измененных файлов с 7 добавлено и 7 удалено
  1. 7 7
      semseg/SemSegCsurka.cpp

+ 7 - 7
semseg/SemSegCsurka.cpp

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