the first round of cleaning up the RST docs
This commit is contained in:
Vadim Pisarevsky
@@ -9,7 +9,7 @@ Cascade Classification
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FeatureEvaluator
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----------------
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.. ctype:: FeatureEvaluator
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.. c:type:: FeatureEvaluator
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Base class for computing feature values in cascade classifiers. ::
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@@ -34,9 +34,9 @@ Base class for computing feature values in cascade classifiers. ::
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.. index:: FeatureEvaluator::read
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cv::FeatureEvaluator::read
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FeatureEvaluator::read
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--------------------------
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.. cfunction:: bool FeatureEvaluator::read(const FileNode\& node)
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.. c:function:: bool FeatureEvaluator::read(const FileNode\& node)
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Reads parameters of the features from a FileStorage node.
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@@ -44,25 +44,25 @@ cv::FeatureEvaluator::read
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.. index:: FeatureEvaluator::clone
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cv::FeatureEvaluator::clone
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FeatureEvaluator::clone
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---------------------------
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.. cfunction:: Ptr<FeatureEvaluator> FeatureEvaluator::clone() const
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.. c:function:: Ptr<FeatureEvaluator> FeatureEvaluator::clone() const
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Returns a full copy of the feature evaluator.
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.. index:: FeatureEvaluator::getFeatureType
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cv::FeatureEvaluator::getFeatureType
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FeatureEvaluator::getFeatureType
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------------------------------------
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.. cfunction:: int FeatureEvaluator::getFeatureType() const
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.. c:function:: int FeatureEvaluator::getFeatureType() const
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Returns the feature type (HAAR or LBP for now).
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.. index:: FeatureEvaluator::setImage
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cv::FeatureEvaluator::setImage
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FeatureEvaluator::setImage
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------------------------------
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.. cfunction:: bool FeatureEvaluator::setImage(const Mat\& img, Size origWinSize)
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.. c:function:: bool FeatureEvaluator::setImage(const Mat\& img, Size origWinSize)
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Sets the image in which to compute the features.
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@@ -72,10 +72,10 @@ cv::FeatureEvaluator::setImage
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.. index:: FeatureEvaluator::setWindow
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cv::FeatureEvaluator::setWindow
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FeatureEvaluator::setWindow
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-------------------------------
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:func:`CascadeClassifier::runAt`
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.. cfunction:: bool FeatureEvaluator::setWindow(Point p)
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.. c:function:: bool FeatureEvaluator::setWindow(Point p)
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Sets window in the current image in which the features will be computed (called by ).
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@@ -83,9 +83,9 @@ cv::FeatureEvaluator::setWindow
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.. index:: FeatureEvaluator::calcOrd
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cv::FeatureEvaluator::calcOrd
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FeatureEvaluator::calcOrd
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-----------------------------
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.. cfunction:: double FeatureEvaluator::calcOrd(int featureIdx) const
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.. c:function:: double FeatureEvaluator::calcOrd(int featureIdx) const
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Computes value of an ordered (numerical) feature.
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@@ -95,9 +95,9 @@ Returns computed value of ordered feature.
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.. index:: FeatureEvaluator::calcCat
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cv::FeatureEvaluator::calcCat
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FeatureEvaluator::calcCat
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-----------------------------
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.. cfunction:: int FeatureEvaluator::calcCat(int featureIdx) const
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.. c:function:: int FeatureEvaluator::calcCat(int featureIdx) const
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Computes value of a categorical feature.
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@@ -107,9 +107,9 @@ Returns computed label of categorical feature, i.e. value from [0,... (number of
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.. index:: FeatureEvaluator::create
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cv::FeatureEvaluator::create
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FeatureEvaluator::create
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----------------------------
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.. cfunction:: static Ptr<FeatureEvaluator> FeatureEvaluator::create(int type)
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.. c:function:: static Ptr<FeatureEvaluator> FeatureEvaluator::create(int type)
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Constructs feature evaluator.
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@@ -121,7 +121,7 @@ cv::FeatureEvaluator::create
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CascadeClassifier
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-----------------
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.. ctype:: CascadeClassifier
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.. c:type:: CascadeClassifier
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The cascade classifier class for object detection. ::
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@@ -194,9 +194,9 @@ The cascade classifier class for object detection. ::
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.. index:: CascadeClassifier::CascadeClassifier
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cv::CascadeClassifier::CascadeClassifier
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CascadeClassifier::CascadeClassifier
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----------------------------------------
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.. cfunction:: CascadeClassifier::CascadeClassifier(const string\& filename)
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.. c:function:: CascadeClassifier::CascadeClassifier(const string\& filename)
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Loads the classifier from file.
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@@ -204,17 +204,17 @@ cv::CascadeClassifier::CascadeClassifier
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.. index:: CascadeClassifier::empty
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cv::CascadeClassifier::empty
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CascadeClassifier::empty
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----------------------------
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.. cfunction:: bool CascadeClassifier::empty() const
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.. c:function:: bool CascadeClassifier::empty() const
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Checks if the classifier has been loaded or not.
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.. index:: CascadeClassifier::load
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cv::CascadeClassifier::load
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CascadeClassifier::load
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---------------------------
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.. cfunction:: bool CascadeClassifier::load(const string\& filename)
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.. c:function:: bool CascadeClassifier::load(const string\& filename)
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Loads the classifier from file. The previous content is destroyed.
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@@ -222,17 +222,17 @@ cv::CascadeClassifier::load
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.. index:: CascadeClassifier::read
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cv::CascadeClassifier::read
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CascadeClassifier::read
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---------------------------
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.. cfunction:: bool CascadeClassifier::read(const FileNode\& node)
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.. c:function:: bool CascadeClassifier::read(const FileNode\& node)
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Reads the classifier from a FileStorage node. File may contain a new cascade classifier (trained traincascade application) only.
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.. index:: CascadeClassifier::detectMultiScale
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cv::CascadeClassifier::detectMultiScale
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CascadeClassifier::detectMultiScale
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---------------------------------------
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.. cfunction:: void CascadeClassifier::detectMultiScale( const Mat\& image, vector<Rect>\& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())
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.. c:function:: void CascadeClassifier::detectMultiScale( const Mat\& image, vector<Rect>\& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())
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Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
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@@ -250,9 +250,9 @@ cv::CascadeClassifier::detectMultiScale
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.. index:: CascadeClassifier::setImage
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cv::CascadeClassifier::setImage
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CascadeClassifier::setImage
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-------------------------------
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.. cfunction:: bool CascadeClassifier::setImage( Ptr<FeatureEvaluator>\& feval, const Mat\& image )
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.. c:function:: bool CascadeClassifier::setImage( Ptr<FeatureEvaluator>\& feval, const Mat\& image )
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Sets the image for detection (called by detectMultiScale at each image level).
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@@ -262,9 +262,9 @@ cv::CascadeClassifier::setImage
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.. index:: CascadeClassifier::runAt
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cv::CascadeClassifier::runAt
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CascadeClassifier::runAt
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----------------------------
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.. cfunction:: int CascadeClassifier::runAt( Ptr<FeatureEvaluator>\& feval, Point pt )
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.. c:function:: int CascadeClassifier::runAt( Ptr<FeatureEvaluator>\& feval, Point pt )
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Runs the detector at the specified point (the image that the detector is working with should be set by setImage).
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@@ -278,9 +278,9 @@ Returns:
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.. index:: groupRectangles
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cv::groupRectangles
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groupRectangles
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-------------------
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.. cfunction:: void groupRectangles(vector<Rect>\& rectList, int groupThreshold, double eps=0.2)
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.. c:function:: void groupRectangles(vector<Rect>\& rectList, int groupThreshold, double eps=0.2)
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Groups the object candidate rectangles
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