fixed doc
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@ -138,9 +138,9 @@ void FeatureDetector::write( FileStorage\& fs ) const;
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Feature detector factory that creates \cvCppCross{FeatureDetector} of given type with
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default parameters (rather using default constructor).
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\begin{lstlisting}
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Ptr<FeatureDetector> FeatureDetector::create( const string& detectorType );
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\end{lstlisting}
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\cvdefCpp{
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Ptr<FeatureDetector> FeatureDetector::create( const string\& detectorType );
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}
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\begin{description}
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\cvarg{detectorType}{Feature detector type.}
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@ -425,10 +425,10 @@ void DescriptorExtractor::write( FileStorage\& fs ) const;
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Descriptor extractor factory that creates \cvCppCross{DescriptorExtractor} of given type with
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default parameters (rather using default constructor).
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\begin{lstlisting}
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\cvdefCpp{
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Ptr<DescriptorExtractor>
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DescriptorExtractor::create( const string& descriptorExtractorType );
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\end{lstlisting}
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DescriptorExtractor::create( const string\& descriptorExtractorType );
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}
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\begin{description}
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\cvarg{descriptorExtractorType}{Descriptor extractor type.}
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@ -794,10 +794,10 @@ DescriptorMatcher::clone( bool emptyTrainData ) const;
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Descriptor matcher factory that creates \cvCppCross{DescriptorMatcher} of
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given type with default parameters (rather using default constructor).
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\begin{lstlisting}
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\cvdefCpp{
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Ptr<DescriptorMatcher>
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DescriptorMatcher::create( const string& descriptorMatcherType );
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\end{lstlisting}
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DescriptorMatcher::create( const string\& descriptorMatcherType );
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}
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\begin{description}
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\cvarg{descriptorMatcherType}{Descriptor matcher type.}
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@ -1017,39 +1017,39 @@ void GenericDescriptorMatcher::add( const vector<Mat>\& images,
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\cvCppFunc{GenericDescriptorMatcher::getTrainImages}
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Returns train image collection.
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\begin{lstlisting}
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const vector<Mat>& GenericDescriptorMatcher::getTrainImages() const;
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\end{lstlisting}
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\cvdefCpp{
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const vector<Mat>\& GenericDescriptorMatcher::getTrainImages() const;
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}
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\cvCppFunc{GenericDescriptorMatcher::getTrainKeypoints}
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Returns train keypoints collection.
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\begin{lstlisting}
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const vector<vector<KeyPoint> >&
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\cvdefCpp{
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const vector<vector<KeyPoint> >\&
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GenericDescriptorMatcher::getTrainKeypoints() const;
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\end{lstlisting}
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}
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\cvCppFunc{GenericDescriptorMatcher::clear}
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Clear train collection (iamges and keypoints).
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\begin{lstlisting}
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\cvdefCpp{
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void GenericDescriptorMatcher::clear();
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\end{lstlisting}
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}
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\cvCppFunc{GenericDescriptorMatcher::train}
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Train the object, e.g. tree-based structure to extract descriptors or
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to optimize descriptors matching.
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\begin{lstlisting}
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\cvdefCpp{
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void GenericDescriptorMatcher::train();
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\end{lstlisting}
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}
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\cvCppFunc{GenericDescriptorMatcher::isMaskSupported}
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Returns true if generic descriptor matcher supports masking permissible matches.
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\begin{lstlisting}
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\cvdefCpp{
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void GenericDescriptorMatcher::isMaskSupported();
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\end{lstlisting}
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}
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\cvCppFunc{GenericDescriptorMatcher::classify}
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Classifies query keypoints under keypoints of one train image qiven as input argument
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