Struct cv::CirclesGridFinderParameters#

#include <opencv2/objdetect.hpp>

Collaboration diagram for cv::CirclesGridFinderParameters:

cv::CirclesGridFinderParameters Node1 cv::CirclesGridFinderParameters + vertexPenalty + CirclesGridFinderParameters() Node2 cv::Size_< float >   + Size_() + Size_() + Size_() + Size_() + Size_() + area() + aspectRatio() + empty() + operator Size_< _Tp2 >() + operator=() + operator=() Node2->Node1 +densityNeighborhoodSize Node3 float     Node3->Node1 +convexHullFactor +edgeGain +edgePenalty +existingVertexGain +maxRectifiedDistance +minDensity +minGraphConfidence +minRNGEdgeSwitchDist +squareSize +vertexGain ... Node3->Node2 +height +width Node4 cv::Size_< _Tp >   + Size_() + Size_() + Size_() + Size_() + Size_() + area() + aspectRatio() + empty() + operator Size_< _Tp2 >() + operator=() + operator=() Node4->Node2 < float > Node5 _Tp     Node5->Node4 +height +width Node6 int     Node6->Node1 +keypointScale +kmeansAttempts +minDistanceToAddKeypoint Node7 GridType     Node7->Node1 +gridType

cv::CirclesGridFinderParameters Node1 cv::CirclesGridFinderParameters + vertexPenalty + CirclesGridFinderParameters() Node2 cv::Size_< float >   + Size_() + Size_() + Size_() + Size_() + Size_() + area() + aspectRatio() + empty() + operator Size_< _Tp2 >() + operator=() + operator=() Node2->Node1 +densityNeighborhoodSize Node3 float     Node3->Node1 +convexHullFactor +edgeGain +edgePenalty +existingVertexGain +maxRectifiedDistance +minDensity +minGraphConfidence +minRNGEdgeSwitchDist +squareSize +vertexGain ... Node3->Node2 +height +width Node4 cv::Size_< _Tp >   + Size_() + Size_() + Size_() + Size_() + Size_() + area() + aspectRatio() + empty() + operator Size_< _Tp2 >() + operator=() + operator=() Node4->Node2 < float > Node5 _Tp     Node5->Node4 +height +width Node6 int     Node6->Node1 +keypointScale +kmeansAttempts +minDistanceToAddKeypoint Node7 GridType     Node7->Node1 +gridType

Public Types#

enum GridType {
    SYMMETRIC_GRID,
    ASYMMETRIC_GRID
}

Member Enumeration Documentation#

enum GridType

SYMMETRIC_GRID
Python: cv.CirclesGridFinderParameters_SYMMETRIC_GRID

ASYMMETRIC_GRID
Python: cv.CirclesGridFinderParameters_ASYMMETRIC_GRID

Constructor & Destructor Documentation#

CirclesGridFinderParameters()#

cv::CirclesGridFinderParameters::CirclesGridFinderParameters()

Python:

cv.CirclesGridFinderParameters() -> <CirclesGridFinderParameters object>

Member Data Documentation#

convexHullFactor#

float cv::CirclesGridFinderParameters::convexHullFactor

densityNeighborhoodSize#

cv::Size2f cv::CirclesGridFinderParameters::densityNeighborhoodSize

edgeGain#

float cv::CirclesGridFinderParameters::edgeGain

edgePenalty#

float cv::CirclesGridFinderParameters::edgePenalty

existingVertexGain#

float cv::CirclesGridFinderParameters::existingVertexGain

gridType#

GridType cv::CirclesGridFinderParameters::gridType

keypointScale#

int cv::CirclesGridFinderParameters::keypointScale

kmeansAttempts#

int cv::CirclesGridFinderParameters::kmeansAttempts

maxRectifiedDistance#

float cv::CirclesGridFinderParameters::maxRectifiedDistance

Max deviation from prediction. Used by CALIB_CB_CLUSTERING.

minDensity#

float cv::CirclesGridFinderParameters::minDensity

minDistanceToAddKeypoint#

int cv::CirclesGridFinderParameters::minDistanceToAddKeypoint

minGraphConfidence#

float cv::CirclesGridFinderParameters::minGraphConfidence

minRNGEdgeSwitchDist#

float cv::CirclesGridFinderParameters::minRNGEdgeSwitchDist

squareSize#

float cv::CirclesGridFinderParameters::squareSize

Distance between two adjacent points. Used by CALIB_CB_CLUSTERING.

vertexGain#

float cv::CirclesGridFinderParameters::vertexGain

vertexPenalty#

float cv::CirclesGridFinderParameters::vertexPenalty

Source file#

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