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introduced new RST/Sphinx domain ocv.

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This commit is contained in:
Vadim Pisarevsky
2011-06-16 12:48:23 +00:00
parent 4f3fb040a4
commit 8d8ef596c8
48 changed files with 2823 additions and 1691 deletions
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32
modules/objdetect/doc/cascade_classification.rst
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@@ -34,7 +34,7 @@ Base class for computing feature values in cascade classifiers ::
FeatureEvaluator::read
--------------------------
.. cpp:function:: bool FeatureEvaluator::read(const FileNode& node)
.. ocv:function:: bool FeatureEvaluator::read(const FileNode& node)
Reads parameters of features from the ``FileStorage`` node.
@@ -44,7 +44,7 @@ FeatureEvaluator::read
FeatureEvaluator::clone
---------------------------
.. cpp:function:: Ptr<FeatureEvaluator> FeatureEvaluator::clone() const
.. ocv:function:: Ptr<FeatureEvaluator> FeatureEvaluator::clone() const
Returns a full copy of the feature evaluator.
@@ -52,7 +52,7 @@ FeatureEvaluator::clone
FeatureEvaluator::getFeatureType
------------------------------------
.. cpp:function:: int FeatureEvaluator::getFeatureType() const
.. ocv:function:: int FeatureEvaluator::getFeatureType() const
Returns the feature type (``HAAR`` or ``LBP`` for now).
@@ -60,7 +60,7 @@ FeatureEvaluator::getFeatureType
FeatureEvaluator::setImage
------------------------------
.. cpp:function:: bool FeatureEvaluator::setImage(const Mat& img, Size origWinSize)
.. ocv:function:: bool FeatureEvaluator::setImage(const Mat& img, Size origWinSize)
Assigns an image to feature evaluator.
@@ -74,7 +74,7 @@ The method assigns an image, where the features will be computed, to the feature
FeatureEvaluator::setWindow
-------------------------------
.. cpp:function:: bool FeatureEvaluator::setWindow(Point p)
.. ocv:function:: bool FeatureEvaluator::setWindow(Point p)
Assigns a window in the current image where the features will be computed.
@@ -84,7 +84,7 @@ FeatureEvaluator::setWindow
FeatureEvaluator::calcOrd
-----------------------------
.. cpp:function:: double FeatureEvaluator::calcOrd(int featureIdx) const
.. ocv:function:: double FeatureEvaluator::calcOrd(int featureIdx) const
Computes the value of an ordered (numerical) feature.
@@ -96,7 +96,7 @@ The function returns the computed value of an ordered feature.
FeatureEvaluator::calcCat
-----------------------------
.. cpp:function:: int FeatureEvaluator::calcCat(int featureIdx) const
.. ocv:function:: int FeatureEvaluator::calcCat(int featureIdx) const
Computes the value of a categorical feature.
@@ -108,7 +108,7 @@ The function returns the computed label of a categorical feature, that is, the v
FeatureEvaluator::create
----------------------------
.. cpp:function:: static Ptr<FeatureEvaluator> FeatureEvaluator::create(int type)
.. ocv:function:: static Ptr<FeatureEvaluator> FeatureEvaluator::create(int type)
Constructs the feature evaluator.
@@ -195,7 +195,7 @@ The cascade classifier class for object detection ::
CascadeClassifier::CascadeClassifier
----------------------------------------
.. cpp:function:: CascadeClassifier::CascadeClassifier(const string& filename)
.. ocv:function:: CascadeClassifier::CascadeClassifier(const string& filename)
Loads a classifier from a file.
@@ -205,7 +205,7 @@ CascadeClassifier::CascadeClassifier
CascadeClassifier::empty
----------------------------
.. cpp:function:: bool CascadeClassifier::empty() const
.. ocv:function:: bool CascadeClassifier::empty() const
Checks if the classifier has been loaded or not.
@@ -213,7 +213,7 @@ CascadeClassifier::empty
CascadeClassifier::load
---------------------------
.. cpp:function:: bool CascadeClassifier::load(const string& filename)
.. ocv:function:: bool CascadeClassifier::load(const string& filename)
Loads a classifier from a file. The previous content is destroyed.
@@ -223,7 +223,7 @@ CascadeClassifier::load
CascadeClassifier::read
---------------------------
.. cpp:function:: bool CascadeClassifier::read(const FileNode& node)
.. ocv:function:: bool CascadeClassifier::read(const FileNode& node)
Reads a classifier from a FileStorage node. The file may contain a new cascade classifier (trained traincascade application) only.
@@ -231,7 +231,7 @@ CascadeClassifier::read
CascadeClassifier::detectMultiScale
---------------------------------------
.. cpp:function:: void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())
.. ocv:function:: void CascadeClassifier::detectMultiScale( const Mat& image, vector<Rect>& objects, double scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())
Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.
@@ -251,7 +251,7 @@ CascadeClassifier::detectMultiScale
CascadeClassifier::setImage
-------------------------------
.. cpp:function:: bool CascadeClassifier::setImage( Ptr<FeatureEvaluator>& feval, const Mat& image )
.. ocv:function:: bool CascadeClassifier::setImage( Ptr<FeatureEvaluator>& feval, const Mat& image )
Sets an image for detection, which is called by ``detectMultiScale`` at each image level.
@@ -263,7 +263,7 @@ CascadeClassifier::setImage
CascadeClassifier::runAt
----------------------------
.. cpp:function:: int CascadeClassifier::runAt( Ptr<FeatureEvaluator>& feval, Point pt )
.. ocv:function:: int CascadeClassifier::runAt( Ptr<FeatureEvaluator>& feval, Point pt )
Runs the detector at the specified point. Use ``setImage`` to set the image that the detector is working with.
@@ -278,7 +278,7 @@ Otherwise, it returns negated index of the stage at which the candidate has been
groupRectangles
-------------------
.. cpp:function:: void groupRectangles(vector<Rect>& rectList, int groupThreshold, double eps=0.2)
.. ocv:function:: void groupRectangles(vector<Rect>& rectList, int groupThreshold, double eps=0.2)
Groups the object candidate rectangles.