calib3d: export parameters of CALIB_CB_CLUSTERING

pull/9596/head
Pavel Rojtberg 7 years ago
parent a9effeeb35
commit 629a06d9b6
  1. 14
      modules/calib3d/include/opencv2/calib3d.hpp
  2. 3
      modules/calib3d/misc/java/gen_dict.json
  3. 28
      modules/calib3d/src/calibinit.cpp
  4. 7
      modules/calib3d/src/circlesgrid.cpp
  5. 8
      modules/calib3d/src/circlesgrid.hpp

@ -783,6 +783,14 @@ struct CV_EXPORTS_W_SIMPLE CirclesGridFinderParameters
GridType gridType;
};
struct CV_EXPORTS_W_SIMPLE CirclesGridFinderParameters2 : public CirclesGridFinderParameters
{
CV_WRAP CirclesGridFinderParameters2();
CV_PROP_RW float squareSize; //!< Distance between two adjacent points. Used by CALIB_CB_CLUSTERING.
CV_PROP_RW float maxRectifiedDistance; //!< Max deviation from predicion. Used by CALIB_CB_CLUSTERING.
};
/** @brief Finds centers in the grid of circles.
@param image grid view of input circles; it must be an 8-bit grayscale or color image.
@ -820,6 +828,12 @@ CV_EXPORTS_W bool findCirclesGrid( InputArray image, Size patternSize,
const Ptr<FeatureDetector> &blobDetector,
CirclesGridFinderParameters parameters);
/** @overload */
CV_EXPORTS_W bool findCirclesGrid2( InputArray image, Size patternSize,
OutputArray centers, int flags,
const Ptr<FeatureDetector> &blobDetector,
CirclesGridFinderParameters2 parameters);
/** @overload */
CV_EXPORTS_W bool findCirclesGrid( InputArray image, Size patternSize,
OutputArray centers, int flags = CALIB_CB_SYMMETRIC_GRID,

@ -1,6 +1,7 @@
{
"class_ignore_list": [
"CirclesGridFinderParameters"
"CirclesGridFinderParameters",
"CirclesGridFinderParameters2"
],
"missing_consts" : {
"Calib3d": {

@ -2094,9 +2094,19 @@ void cv::drawChessboardCorners( InputOutputArray _image, Size patternSize,
nelems, patternWasFound );
}
bool cv::findCirclesGrid( InputArray _image, Size patternSize,
bool cv::findCirclesGrid( InputArray image, Size patternSize,
OutputArray centers, int flags,
const Ptr<FeatureDetector> &blobDetector,
CirclesGridFinderParameters parameters)
{
CirclesGridFinderParameters2 parameters2;
*((CirclesGridFinderParameters*)&parameters2) = parameters;
return cv::findCirclesGrid2(image, patternSize, centers, flags, blobDetector, parameters2);
}
bool cv::findCirclesGrid2( InputArray _image, Size patternSize,
OutputArray _centers, int flags, const Ptr<FeatureDetector> &blobDetector,
CirclesGridFinderParameters parameters)
CirclesGridFinderParameters2 parameters)
{
CV_INSTRUMENT_REGION()
@ -2115,19 +2125,19 @@ bool cv::findCirclesGrid( InputArray _image, Size patternSize,
points.push_back (keypoints[i].pt);
}
if(flags & CALIB_CB_ASYMMETRIC_GRID)
parameters.gridType = CirclesGridFinderParameters::ASYMMETRIC_GRID;
if(flags & CALIB_CB_SYMMETRIC_GRID)
parameters.gridType = CirclesGridFinderParameters::SYMMETRIC_GRID;
if(flags & CALIB_CB_CLUSTERING)
{
CirclesGridClusterFinder circlesGridClusterFinder(isAsymmetricGrid);
CirclesGridClusterFinder circlesGridClusterFinder(parameters);
circlesGridClusterFinder.findGrid(points, patternSize, centers);
Mat(centers).copyTo(_centers);
return !centers.empty();
}
if(flags & CALIB_CB_ASYMMETRIC_GRID)
parameters.gridType = CirclesGridFinderParameters::ASYMMETRIC_GRID;
if(flags & CALIB_CB_SYMMETRIC_GRID)
parameters.gridType = CirclesGridFinderParameters::SYMMETRIC_GRID;
const int attempts = 2;
const size_t minHomographyPoints = 4;
Mat H;
@ -2191,7 +2201,7 @@ bool cv::findCirclesGrid( InputArray _image, Size patternSize,
bool cv::findCirclesGrid( InputArray _image, Size patternSize,
OutputArray _centers, int flags, const Ptr<FeatureDetector> &blobDetector)
{
return cv::findCirclesGrid(_image, patternSize, _centers, flags, blobDetector, CirclesGridFinderParameters());
return cv::findCirclesGrid2(_image, patternSize, _centers, flags, blobDetector, CirclesGridFinderParameters2());
}
/* End of file. */

@ -559,6 +559,13 @@ CirclesGridFinderParameters::CirclesGridFinderParameters()
gridType = SYMMETRIC_GRID;
}
CirclesGridFinderParameters2::CirclesGridFinderParameters2()
: CirclesGridFinderParameters()
{
squareSize = 1.0f;
maxRectifiedDistance = squareSize/2.0f;
}
CirclesGridFinder::CirclesGridFinder(Size _patternSize, const std::vector<Point2f> &testKeypoints,
const CirclesGridFinderParameters &_parameters) :
patternSize(static_cast<size_t> (_patternSize.width), static_cast<size_t> (_patternSize.height))

@ -56,11 +56,11 @@ class CirclesGridClusterFinder
CirclesGridClusterFinder& operator=(const CirclesGridClusterFinder&);
CirclesGridClusterFinder(const CirclesGridClusterFinder&);
public:
CirclesGridClusterFinder(bool _isAsymmetricGrid)
CirclesGridClusterFinder(const cv::CirclesGridFinderParameters2 &parameters)
{
isAsymmetricGrid = _isAsymmetricGrid;
squareSize = 1.0f;
maxRectifiedDistance = (float)(squareSize / 2.0);
isAsymmetricGrid = parameters.gridType == cv::CirclesGridFinderParameters::ASYMMETRIC_GRID;
squareSize = parameters.squareSize;
maxRectifiedDistance = parameters.maxRectifiedDistance;
}
void findGrid(const std::vector<cv::Point2f> &points, cv::Size patternSize, std::vector<cv::Point2f>& centers);

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