Boring changes - apps.

diff --git a/apps/traincascade/cascadeclassifier.cpp b/apps/traincascade/cascadeclassifier.cpp
index 3983a61..5c96b45 100644 (file)
--- a/apps/traincascade/cascadeclassifier.cpp
+++ b/apps/traincascade/cascadeclassifier.cpp
@@ -159,10 +159,10 @@ bool CvCascadeClassifier::train( const string _cascadeDirName,
         cascadeParams = _cascadeParams;
         featureParams = CvFeatureParams::create(cascadeParams.featureType);
         featureParams->init(_featureParams);
-        stageParams = new CvCascadeBoostParams;
+        stageParams = makePtr<CvCascadeBoostParams>();
         *stageParams = _stageParams;
         featureEvaluator = CvFeatureEvaluator::create(cascadeParams.featureType);
-        featureEvaluator->init( (CvFeatureParams*)featureParams, numPos + numNeg, cascadeParams.winSize );
+        featureEvaluator->init( featureParams, numPos + numNeg, cascadeParams.winSize );
         stageClassifiers.reserve( numStages );
     }
     cout << "PARAMETERS:" << endl;
@@ -206,10 +206,10 @@ bool CvCascadeClassifier::train( const string _cascadeDirName,
             break;
         }
 
-        CvCascadeBoost* tempStage = new CvCascadeBoost;
-        bool isStageTrained = tempStage->train( (CvFeatureEvaluator*)featureEvaluator,
+        Ptr<CvCascadeBoost> tempStage = makePtr<CvCascadeBoost>();
+        bool isStageTrained = tempStage->train( featureEvaluator,
                                                 curNumSamples, _precalcValBufSize, _precalcIdxBufSize,
-                                                *((CvCascadeBoostParams*)stageParams) );
+                                                *stageParams );
         cout << "END>" << endl;
 
         if(!isStageTrained)
@@ -325,7 +325,7 @@ void CvCascadeClassifier::writeParams( FileStorage &fs ) const
 
 void CvCascadeClassifier::writeFeatures( FileStorage &fs, const Mat& featureMap ) const
 {
-    ((CvFeatureEvaluator*)((Ptr<CvFeatureEvaluator>)featureEvaluator))->writeFeatures( fs, featureMap );
+    featureEvaluator->writeFeatures( fs, featureMap );
 }
 
 void CvCascadeClassifier::writeStages( FileStorage &fs, const Mat& featureMap ) const
@@ -339,7 +339,7 @@ void CvCascadeClassifier::writeStages( FileStorage &fs, const Mat& featureMap )
         sprintf( cmnt, "stage %d", i );
         cvWriteComment( fs.fs, cmnt, 0 );
         fs << "{";
-        ((CvCascadeBoost*)((Ptr<CvCascadeBoost>)*it))->write( fs, featureMap );
+        (*it)->write( fs, featureMap );
         fs << "}";
     }
     fs << "]";
@@ -350,7 +350,7 @@ bool CvCascadeClassifier::readParams( const FileNode &node )
     if ( !node.isMap() || !cascadeParams.read( node ) )
         return false;
 
-    stageParams = new CvCascadeBoostParams;
+    stageParams = makePtr<CvCascadeBoostParams>();
     FileNode rnode = node[CC_STAGE_PARAMS];
     if ( !stageParams->read( rnode ) )
         return false;
@@ -371,12 +371,9 @@ bool CvCascadeClassifier::readStages( const FileNode &node)
     FileNodeIterator it = rnode.begin();
     for( int i = 0; i < min( (int)rnode.size(), numStages ); i++, it++ )
     {
-        CvCascadeBoost* tempStage = new CvCascadeBoost;
-        if ( !tempStage->read( *it, (CvFeatureEvaluator *)featureEvaluator, *((CvCascadeBoostParams*)stageParams) ) )
-        {
-            delete tempStage;
+        Ptr<CvCascadeBoost> tempStage = makePtr<CvCascadeBoost>();
+        if ( !tempStage->read( *it, featureEvaluator, *stageParams) )
             return false;
-        }
         stageClassifiers.push_back(tempStage);
     }
     return true;
@@ -453,7 +450,7 @@ void CvCascadeClassifier::save( const string filename, bool baseFormat )
 
                     fs << "{";
                     fs << ICV_HAAR_FEATURE_NAME << "{";
-                    ((CvHaarEvaluator*)((CvFeatureEvaluator*)featureEvaluator))->writeFeature( fs, tempNode->split->var_idx );
+                    ((CvHaarEvaluator*)featureEvaluator.get())->writeFeature( fs, tempNode->split->var_idx );
                     fs << "}";
 
                     fs << ICV_HAAR_THRESHOLD_NAME << tempNode->split->ord.c;
@@ -499,7 +496,7 @@ bool CvCascadeClassifier::load( const string cascadeDirName )
     if ( !readParams( node ) )
         return false;
     featureEvaluator = CvFeatureEvaluator::create(cascadeParams.featureType);
-    featureEvaluator->init( ((CvFeatureParams*)featureParams), numPos + numNeg, cascadeParams.winSize );
+    featureEvaluator->init( featureParams, numPos + numNeg, cascadeParams.winSize );
     fs.release();
 
     char buf[10];
@@ -510,11 +507,10 @@ bool CvCascadeClassifier::load( const string cascadeDirName )
         node = fs.getFirstTopLevelNode();
         if ( !fs.isOpened() )
             break;
-        CvCascadeBoost *tempStage = new CvCascadeBoost;
+        Ptr<CvCascadeBoost> tempStage = makePtr<CvCascadeBoost>();
 
-        if ( !tempStage->read( node, (CvFeatureEvaluator*)featureEvaluator, *((CvCascadeBoostParams*)stageParams )) )
+        if ( !tempStage->read( node, featureEvaluator, *stageParams ))
         {
-            delete tempStage;
             fs.release();
             break;
         }
@@ -531,7 +527,7 @@ void CvCascadeClassifier::getUsedFeaturesIdxMap( Mat& featureMap )
 
     for( vector< Ptr<CvCascadeBoost> >::const_iterator it = stageClassifiers.begin();
         it != stageClassifiers.end(); it++ )
-        ((CvCascadeBoost*)((Ptr<CvCascadeBoost>)(*it)))->markUsedFeaturesInMap( featureMap );
+        (*it)->markUsedFeaturesInMap( featureMap );
 
     for( int fi = 0, idx = 0; fi < varCount; fi++ )
         if ( featureMap.at<int>(0, fi) >= 0 )

diff --git a/apps/traincascade/traincascade.cpp b/apps/traincascade/traincascade.cpp
index 7b8fcdd..a896c21 100644 (file)
--- a/apps/traincascade/traincascade.cpp
+++ b/apps/traincascade/traincascade.cpp
@@ -18,9 +18,9 @@ int main( int argc, char* argv[] )
 
     CvCascadeParams cascadeParams;
     CvCascadeBoostParams stageParams;
-    Ptr<CvFeatureParams> featureParams[] = { Ptr<CvFeatureParams>(new CvHaarFeatureParams),
-                                             Ptr<CvFeatureParams>(new CvLBPFeatureParams),
-                                             Ptr<CvFeatureParams>(new CvHOGFeatureParams)
+    Ptr<CvFeatureParams> featureParams[] = { makePtr<CvHaarFeatureParams>(),
+                                             makePtr<CvLBPFeatureParams>(),
+                                             makePtr<CvHOGFeatureParams>()
                                            };
     int fc = sizeof(featureParams)/sizeof(featureParams[0]);
     if( argc == 1 )