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add documentation for new classes

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marina.kolpakova 2013-01-30 11:24:45 +04:00
parent 1613aa45bc
commit d314c602d5
1 changed files with 64 additions and 3 deletions
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67
modules/softcascade/doc/softcascade_training.rst
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@ -11,7 +11,7 @@ SoftCascadeOctave
-----------------
.. ocv:class:: SoftCascadeOctave
Public interface for soft cascade training algorithm
Public interface for soft cascade training algorithm. ::
class CV_EXPORTS SoftCascadeOctave : public Algorithm
{
@ -70,8 +70,8 @@ SoftCascadeOctave::setRejectThresholds
SoftCascadeOctave::write
------------------------
.. ocv:function:: write SoftCascadeOctave::train(cv::FileStorage &fs, const FeaturePool* pool, InputArray thresholds) const
.. ocv:function:: write SoftCascadeOctave::train( CvFileStorage* fs, string name) const
.. ocv:function:: void SoftCascadeOctave::train(cv::FileStorage &fs, const FeaturePool* pool, InputArray thresholds) const
.. ocv:function:: void SoftCascadeOctave::train( CvFileStorage* fs, string name) const
:param fs an output file storage to store trained detector.
@ -80,3 +80,64 @@ SoftCascadeOctave::write
:param dataset a rejection vector that should be included in detector xml file.
:param name a name of root node for trained detector.
FeaturePool
-----------
.. ocv:class:: FeaturePool
Public interface for feature pool. This is a hight level abstraction for training random feature pool. ::
class CV_EXPORTS FeaturePool
{
public:
virtual int size() const = 0;
virtual float apply(int fi, int si, const Mat& channels) const = 0;
virtual void write( cv::FileStorage& fs, int index) const = 0;
virtual ~FeaturePool();
};
FeaturePool::size
-----------------
Returns size of feature pool.
.. ocv:function:: int FeaturePool::size() const
FeaturePool::~FeaturePool
-------------------------
FeaturePool destructor.
.. ocv:function:: int FeaturePool::~FeaturePool()
FeaturePool::write
------------------
Write specified feature from feature pool to file storage.
.. ocv:function:: void FeaturePool::write( cv::FileStorage& fs, int index) const
:param fs an output file storage to store feature.
:param index an index of feature that should be stored.
FeaturePool::apply
------------------
Compute feature on integral channel image.
.. ocv:function:: float FeaturePool::apply(int fi, int si, const Mat& channels) const
:param fi an index of feature that should be computed.
:param si an index of sample.
:param fs a channel matrix.