/// <summary>
///
/// </summary>
/// <param name="idx"></param>
/// <param name="facetList"></param>
/// <param name="facetCenters"></param>
public void GetVoronoiFacetList(IEnumerable <int> idx, out Point2f[][] facetList, out Point2f[] facetCenters)
{
if (disposed)
{
throw new ObjectDisposedException("Subdiv2D", "");
}
IntPtr facetListPtr, facetCentersPtr;
if (idx == null)
{
NativeMethods.imgproc_Subdiv2D_getVoronoiFacetList(ptr, IntPtr.Zero, 0, out facetListPtr, out facetCentersPtr);
}
else
{
int[] idxArray = EnumerableEx.ToArray(idx);
NativeMethods.imgproc_Subdiv2D_getVoronoiFacetList(ptr, idxArray, idxArray.Length, out facetListPtr, out facetCentersPtr);
}
using (VectorOfVectorPoint2f facetListVec = new VectorOfVectorPoint2f(facetListPtr))
{
facetList = facetListVec.ToArray();
}
using (VectorOfPoint2f facetCentersVec = new VectorOfPoint2f(facetCentersPtr))
{
facetCenters = facetCentersVec.ToArray();
}
}
/// <summary>
/// computes sparse optical flow using multi-scale Lucas-Kanade algorithm
/// </summary>
/// <param name="prevImg"></param>
/// <param name="nextImg"></param>
/// <param name="prevPts"></param>
/// <param name="nextPts"></param>
/// <param name="status"></param>
/// <param name="err"></param>
/// <param name="winSize"></param>
/// <param name="maxLevel"></param>
/// <param name="criteria"></param>
/// <param name="flags"></param>
/// <param name="minEigThreshold"></param>
public static void CalcOpticalFlowPyrLK(
InputArray prevImg, InputArray nextImg,
Point2f[] prevPts, ref Point2f[] nextPts,
out byte[] status, out float[] err,
Size?winSize = null,
int maxLevel = 3,
TermCriteria?criteria = null,
OpticalFlowFlags flags = OpticalFlowFlags.None,
double minEigThreshold = 1e-4)
{
if (prevImg == null)
{
throw new ArgumentNullException("prevImg");
}
if (nextImg == null)
{
throw new ArgumentNullException("nextImg");
}
if (prevPts == null)
{
throw new ArgumentNullException("prevPts");
}
if (nextPts == null)
{
throw new ArgumentNullException("nextPts");
}
prevImg.ThrowIfDisposed();
nextImg.ThrowIfDisposed();
Size winSize0 = winSize.GetValueOrDefault(new Size(21, 21));
TermCriteria criteria0 = criteria.GetValueOrDefault(
TermCriteria.Both(30, 0.01));
using (var nextPtsVec = new VectorOfPoint2f())
using (var statusVec = new VectorOfByte())
using (var errVec = new VectorOfFloat())
{
NativeMethods.video_calcOpticalFlowPyrLK_vector(
prevImg.CvPtr, nextImg.CvPtr, prevPts, prevPts.Length,
nextPtsVec.CvPtr, statusVec.CvPtr, errVec.CvPtr,
winSize0, maxLevel, criteria0, (int)flags, minEigThreshold);
nextPts = nextPtsVec.ToArray();
status = statusVec.ToArray();
err = errVec.ToArray();
}
}
