OpenCV  4.2.0-pre
Open Source Computer Vision
Public Member Functions | List of all members
cv::ximgproc::EdgeBoxes Class Referenceabstract

Class implementing EdgeBoxes algorithm from [269] : More...

#include <opencv2/ximgproc/edgeboxes.hpp>

Inheritance diagram for cv::ximgproc::EdgeBoxes:
cv::Algorithm

Public Member Functions

virtual float getAlpha () const =0
 Returns the step size of sliding window search. More...
 
virtual float getBeta () const =0
 Returns the nms threshold for object proposals. More...
 
virtual void getBoundingBoxes (InputArray edge_map, InputArray orientation_map, std::vector< Rect > &boxes, OutputArray scores=noArray())=0
 Returns array containing proposal boxes. More...
 
virtual float getClusterMinMag () const =0
 Returns the cluster min magnitude. More...
 
virtual float getEdgeMergeThr () const =0
 Returns the edge merge threshold. More...
 
virtual float getEdgeMinMag () const =0
 Returns the edge min magnitude. More...
 
virtual float getEta () const =0
 Returns adaptation rate for nms threshold. More...
 
virtual float getGamma () const =0
 Returns the affinity sensitivity. More...
 
virtual float getKappa () const =0
 Returns the scale sensitivity. More...
 
virtual float getMaxAspectRatio () const =0
 Returns the max aspect ratio of boxes. More...
 
virtual int getMaxBoxes () const =0
 Returns the max number of boxes to detect. More...
 
virtual float getMinBoxArea () const =0
 Returns the minimum area of boxes. More...
 
virtual float getMinScore () const =0
 Returns the min score of boxes to detect. More...
 
virtual void setAlpha (float value)=0
 Sets the step size of sliding window search. More...
 
virtual void setBeta (float value)=0
 Sets the nms threshold for object proposals. More...
 
virtual void setClusterMinMag (float value)=0
 Sets the cluster min magnitude. More...
 
virtual void setEdgeMergeThr (float value)=0
 Sets the edge merge threshold. More...
 
virtual void setEdgeMinMag (float value)=0
 Sets the edge min magnitude. More...
 
virtual void setEta (float value)=0
 Sets the adaptation rate for nms threshold. More...
 
virtual void setGamma (float value)=0
 Sets the affinity sensitivity. More...
 
virtual void setKappa (float value)=0
 Sets the scale sensitivity. More...
 
virtual void setMaxAspectRatio (float value)=0
 Sets the max aspect ratio of boxes. More...
 
virtual void setMaxBoxes (int value)=0
 Sets max number of boxes to detect. More...
 
virtual void setMinBoxArea (float value)=0
 Sets the minimum area of boxes. More...
 
virtual void setMinScore (float value)=0
 Sets the min score of boxes to detect. More...
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. More...
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
 

Additional Inherited Members

- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file. More...
 
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
 
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...
 
- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Class implementing EdgeBoxes algorithm from [269] :

Member Function Documentation

◆ getAlpha()

virtual float cv::ximgproc::EdgeBoxes::getAlpha ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getAlpha()

Returns the step size of sliding window search.

◆ getBeta()

virtual float cv::ximgproc::EdgeBoxes::getBeta ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getBeta()

Returns the nms threshold for object proposals.

◆ getBoundingBoxes()

virtual void cv::ximgproc::EdgeBoxes::getBoundingBoxes ( InputArray  edge_map,
InputArray  orientation_map,
std::vector< Rect > &  boxes,
OutputArray  scores = noArray() 
)
pure virtual
Python:
boxes, scores=cv.ximgproc_EdgeBoxes.getBoundingBoxes(edge_map, orientation_map[, scores])

Returns array containing proposal boxes.

Parameters
edge_mapedge image.
orientation_maporientation map.
boxesproposal boxes.
scoresof the proposal boxes, provided a vector of float types.

◆ getClusterMinMag()

virtual float cv::ximgproc::EdgeBoxes::getClusterMinMag ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getClusterMinMag()

Returns the cluster min magnitude.

◆ getEdgeMergeThr()

virtual float cv::ximgproc::EdgeBoxes::getEdgeMergeThr ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getEdgeMergeThr()

Returns the edge merge threshold.

◆ getEdgeMinMag()

virtual float cv::ximgproc::EdgeBoxes::getEdgeMinMag ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getEdgeMinMag()

Returns the edge min magnitude.

◆ getEta()

virtual float cv::ximgproc::EdgeBoxes::getEta ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getEta()

Returns adaptation rate for nms threshold.

◆ getGamma()

virtual float cv::ximgproc::EdgeBoxes::getGamma ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getGamma()

Returns the affinity sensitivity.

◆ getKappa()

virtual float cv::ximgproc::EdgeBoxes::getKappa ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getKappa()

Returns the scale sensitivity.

◆ getMaxAspectRatio()

virtual float cv::ximgproc::EdgeBoxes::getMaxAspectRatio ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getMaxAspectRatio()

Returns the max aspect ratio of boxes.

◆ getMaxBoxes()

virtual int cv::ximgproc::EdgeBoxes::getMaxBoxes ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getMaxBoxes()

Returns the max number of boxes to detect.

◆ getMinBoxArea()

virtual float cv::ximgproc::EdgeBoxes::getMinBoxArea ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getMinBoxArea()

Returns the minimum area of boxes.

◆ getMinScore()

virtual float cv::ximgproc::EdgeBoxes::getMinScore ( ) const
pure virtual
Python:
retval=cv.ximgproc_EdgeBoxes.getMinScore()

Returns the min score of boxes to detect.

◆ setAlpha()

virtual void cv::ximgproc::EdgeBoxes::setAlpha ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setAlpha(value)

Sets the step size of sliding window search.

◆ setBeta()

virtual void cv::ximgproc::EdgeBoxes::setBeta ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setBeta(value)

Sets the nms threshold for object proposals.

◆ setClusterMinMag()

virtual void cv::ximgproc::EdgeBoxes::setClusterMinMag ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setClusterMinMag(value)

Sets the cluster min magnitude.

◆ setEdgeMergeThr()

virtual void cv::ximgproc::EdgeBoxes::setEdgeMergeThr ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setEdgeMergeThr(value)

Sets the edge merge threshold.

◆ setEdgeMinMag()

virtual void cv::ximgproc::EdgeBoxes::setEdgeMinMag ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setEdgeMinMag(value)

Sets the edge min magnitude.

◆ setEta()

virtual void cv::ximgproc::EdgeBoxes::setEta ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setEta(value)

Sets the adaptation rate for nms threshold.

◆ setGamma()

virtual void cv::ximgproc::EdgeBoxes::setGamma ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setGamma(value)

Sets the affinity sensitivity.

◆ setKappa()

virtual void cv::ximgproc::EdgeBoxes::setKappa ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setKappa(value)

Sets the scale sensitivity.

◆ setMaxAspectRatio()

virtual void cv::ximgproc::EdgeBoxes::setMaxAspectRatio ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setMaxAspectRatio(value)

Sets the max aspect ratio of boxes.

◆ setMaxBoxes()

virtual void cv::ximgproc::EdgeBoxes::setMaxBoxes ( int  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setMaxBoxes(value)

Sets max number of boxes to detect.

◆ setMinBoxArea()

virtual void cv::ximgproc::EdgeBoxes::setMinBoxArea ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setMinBoxArea(value)

Sets the minimum area of boxes.

◆ setMinScore()

virtual void cv::ximgproc::EdgeBoxes::setMinScore ( float  value)
pure virtual
Python:
None=cv.ximgproc_EdgeBoxes.setMinScore(value)

Sets the min score of boxes to detect.


The documentation for this class was generated from the following file: