//
// C++: static Ptr_PCTSignatures cv::xfeatures2d::PCTSignatures::create(vector_Point2f initSamplingPoints, int initSeedCount)
//
/**
* Creates PCTSignatures algorithm using pre-generated sampling points
* and number of clusterization seeds. It uses the provided
* sampling points and generates its own clusterization seed indexes.
* param initSamplingPoints Sampling points used in image sampling.
* param initSeedCount Number of initial clusterization seeds.
* Must be lower or equal to initSamplingPoints.size().
* return Created algorithm.
*/
public static PCTSignatures create(MatOfPoint2f initSamplingPoints, int initSeedCount)
{
if (initSamplingPoints != null)
{
initSamplingPoints.ThrowIfDisposed();
}
Mat initSamplingPoints_mat = initSamplingPoints;
return(PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_14(initSamplingPoints_mat.nativeObj, initSeedCount)));
}
//javadoc: PCTSignatures::create(initSampleCount)
public static PCTSignatures create(int initSampleCount)
{
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
PCTSignatures retVal = PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_12(initSampleCount));
return(retVal);
#else
return(null);
#endif
}
//
// C++: static Ptr_PCTSignatures cv::xfeatures2d::PCTSignatures::create(vector_Point2f initSamplingPoints, int initSeedCount)
//
//javadoc: PCTSignatures::create(initSamplingPoints, initSeedCount)
public static PCTSignatures create(MatOfPoint2f initSamplingPoints, int initSeedCount)
{
if (initSamplingPoints != null)
{
initSamplingPoints.ThrowIfDisposed();
}
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
Mat initSamplingPoints_mat = initSamplingPoints;
PCTSignatures retVal = PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_14(initSamplingPoints_mat.nativeObj, initSeedCount));
return(retVal);
#else
return(null);
#endif
}
//
// C++: static Ptr_PCTSignatures cv::xfeatures2d::PCTSignatures::create(vector_Point2f initSamplingPoints, vector_int initClusterSeedIndexes)
//
/**
* Creates PCTSignatures algorithm using pre-generated sampling points
* and clusterization seeds indexes.
* param initSamplingPoints Sampling points used in image sampling.
* param initClusterSeedIndexes Indexes of initial clusterization seeds.
* Its size must be lower or equal to initSamplingPoints.size().
* return Created algorithm.
*/
public static PCTSignatures create(MatOfPoint2f initSamplingPoints, MatOfInt initClusterSeedIndexes)
{
if (initSamplingPoints != null)
{
initSamplingPoints.ThrowIfDisposed();
}
if (initClusterSeedIndexes != null)
{
initClusterSeedIndexes.ThrowIfDisposed();
}
Mat initSamplingPoints_mat = initSamplingPoints;
Mat initClusterSeedIndexes_mat = initClusterSeedIndexes;
return(PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_15(initSamplingPoints_mat.nativeObj, initClusterSeedIndexes_mat.nativeObj)));
}
//
// C++: static Ptr_PCTSignatures cv::xfeatures2d::PCTSignatures::create(int initSampleCount = 2000, int initSeedCount = 400, int pointDistribution = 0)
//
/**
* Creates PCTSignatures algorithm using sample and seed count.
* It generates its own sets of sampling points and clusterization seed indexes.
* param initSampleCount Number of points used for image sampling.
* param initSeedCount Number of initial clusterization seeds.
* Must be lower or equal to initSampleCount
* param pointDistribution Distribution of generated points. Default: UNIFORM.
* Available: UNIFORM, REGULAR, NORMAL.
* return Created algorithm.
*/
public static PCTSignatures create(int initSampleCount, int initSeedCount, int pointDistribution)
{
return(PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_10(initSampleCount, initSeedCount, pointDistribution)));
}
/**
* Creates PCTSignatures algorithm using sample and seed count.
* It generates its own sets of sampling points and clusterization seed indexes.
* Must be lower or equal to initSampleCount
* Available: UNIFORM, REGULAR, NORMAL.
* return Created algorithm.
*/
public static PCTSignatures create()
{
return(PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_13()));
}
/**
* Creates PCTSignatures algorithm using sample and seed count.
* It generates its own sets of sampling points and clusterization seed indexes.
* param initSampleCount Number of points used for image sampling.
* Must be lower or equal to initSampleCount
* Available: UNIFORM, REGULAR, NORMAL.
* return Created algorithm.
*/
public static PCTSignatures create(int initSampleCount)
{
return(PCTSignatures.__fromPtr__(xfeatures2d_PCTSignatures_create_12(initSampleCount)));
}
