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a lot of small corrections to bring down the number of undocumented functions, reported by the script; added em.cpp sample

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Vadim Pisarevsky
2011-06-09 01:16:45 +00:00
parent 3b9e752be7
commit 20aca7440f
30 changed files with 474 additions and 746 deletions
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18
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)
.. cpp:function:: bool FeatureEvaluator::read(const FileNode& node)
Reads parameters of features from the ``FileStorage`` node.
@@ -60,7 +60,7 @@ FeatureEvaluator::getFeatureType
FeatureEvaluator::setImage
------------------------------
.. cpp:function:: bool FeatureEvaluator::setImage(const Mat\& img, Size origWinSize)
.. cpp:function:: bool FeatureEvaluator::setImage(const Mat& img, Size origWinSize)
Sets an image where the features are computed??.
@@ -193,7 +193,7 @@ The cascade classifier class for object detection ::
CascadeClassifier::CascadeClassifier
----------------------------------------
.. cpp:function:: CascadeClassifier::CascadeClassifier(const string\& filename)
.. cpp:function:: CascadeClassifier::CascadeClassifier(const string& filename)
Loads a classifier from a file.
@@ -211,7 +211,7 @@ CascadeClassifier::empty
CascadeClassifier::load
---------------------------
.. cpp:function:: bool CascadeClassifier::load(const string\& filename)
.. cpp:function:: bool CascadeClassifier::load(const string& filename)
Loads a classifier from a file. The previous content is destroyed.
@@ -221,7 +221,7 @@ CascadeClassifier::load
CascadeClassifier::read
---------------------------
.. cpp:function:: bool CascadeClassifier::read(const FileNode\& node)
.. cpp: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.
@@ -229,7 +229,7 @@ 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())
.. cpp: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.
@@ -249,7 +249,7 @@ CascadeClassifier::detectMultiScale
CascadeClassifier::setImage
-------------------------------
.. cpp:function:: bool CascadeClassifier::setImage( Ptr<FeatureEvaluator>\& feval, const Mat\& image )
.. cpp:function:: bool CascadeClassifier::setImage( Ptr<FeatureEvaluator>& feval, const Mat& image )
Sets an image for detection, which is called by ``detectMultiScale`` at each image level.
@@ -261,7 +261,7 @@ CascadeClassifier::setImage
CascadeClassifier::runAt
----------------------------
.. cpp:function:: int CascadeClassifier::runAt( Ptr<FeatureEvaluator>\& feval, Point pt )
.. cpp: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.
@@ -276,7 +276,7 @@ Otherwise, it returns ``si``, which is an index of the stage that first predicte
groupRectangles
-------------------
.. cpp:function:: void groupRectangles(vector<Rect>\& rectList, int groupThreshold, double eps=0.2)
.. cpp:function:: void groupRectangles(vector<Rect>& rectList, int groupThreshold, double eps=0.2)
Groups the object candidate rectangles.