Instrumentation for OpenCV API regions and IPP functions;

modules/features2d/src/bagofwords.cpp

@@ -89,6 +89,8 @@ BOWKMeansTrainer::BOWKMeansTrainer( int _clusterCount, const TermCriteria& _term
 
 Mat BOWKMeansTrainer::cluster() const
 {
+    CV_INSTRUMENT_REGION()
+
     CV_Assert( !descriptors.empty() );
 
     Mat mergedDescriptors( descriptorsCount(), descriptors[0].cols, descriptors[0].type() );
@@ -106,6 +108,8 @@ BOWKMeansTrainer::~BOWKMeansTrainer()
 
 Mat BOWKMeansTrainer::cluster( const Mat& _descriptors ) const
 {
+    CV_INSTRUMENT_REGION()
+
     Mat labels, vocabulary;
     kmeans( _descriptors, clusterCount, labels, termcrit, attempts, flags, vocabulary );
     return vocabulary;
@@ -139,6 +143,8 @@ const Mat& BOWImgDescriptorExtractor::getVocabulary() const
 void BOWImgDescriptorExtractor::compute( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray imgDescriptor,
                                          std::vector<std::vector<int> >* pointIdxsOfClusters, Mat* descriptors )
 {
+    CV_INSTRUMENT_REGION()
+
     imgDescriptor.release();
 
     if( keypoints.empty() )
@@ -168,6 +174,8 @@ int BOWImgDescriptorExtractor::descriptorType() const
 
 void BOWImgDescriptorExtractor::compute( InputArray keypointDescriptors, OutputArray _imgDescriptor, std::vector<std::vector<int> >* pointIdxsOfClusters )
 {
+    CV_INSTRUMENT_REGION()
+
     CV_Assert( !vocabulary.empty() );
 
     int clusterCount = descriptorSize(); // = vocabulary.rows