/**
* Given the {code input} frame, create input blob, run net
* return a vector holding the x and y coordinates of each detected keypoint
*
* param frame automatically generated
*/
public MatOfPoint2f estimate(Mat frame)
{
ThrowIfDisposed();
if (frame != null)
{
frame.ThrowIfDisposed();
}
return(MatOfPoint2f.fromNativeAddr(dnn_KeypointsModel_estimate_11(nativeObj, frame.nativeObj)));
}
//
// C++: vector_Point2f cv::xfeatures2d::PCTSignatures::getSamplingPoints()
//
//javadoc: PCTSignatures::getSamplingPoints()
public MatOfPoint2f getSamplingPoints()
{
ThrowIfDisposed();
#if ((UNITY_ANDROID || UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR) || UNITY_5 || UNITY_5_3_OR_NEWER
MatOfPoint2f retVal = MatOfPoint2f.fromNativeAddr(xfeatures2d_PCTSignatures_getSamplingPoints_10(nativeObj));
return(retVal);
#else
return(null);
#endif
}
//
// C++: vector_Point2f cv::xfeatures2d::PCTSignatures::getSamplingPoints()
//
/**
* Initial samples taken from the image.
* These sampled features become the input for clustering.
* return automatically generated
*/
public MatOfPoint2f getSamplingPoints()
{
ThrowIfDisposed();
return(MatOfPoint2f.fromNativeAddr(xfeatures2d_PCTSignatures_getSamplingPoints_10(nativeObj)));
}