/*
* /// <summary>
* /// Add the model descriptors
* /// </summary>
* /// <param name="modelDescriptors">The model discriptors</param>
* public void Add(Matrix<Byte> modelDescriptors)
* {
* if (!(_distanceType == DistanceType.HammingDist))
* throw new ArgumentException("Hamming distance type requires model descriptor to be Matrix<Byte>");
* gpuBruteForceMatcherAdd(_ptr, modelDescriptors);
* }
*
* /// <summary>
* /// Add the model descriptors
* /// </summary>
* /// <param name="modelDescriptors">The model discriptors</param>
* public void Add(Matrix<float> modelDescriptors)
* {
* if (!(_distanceType == DistanceType.L2 || _distanceType == DistanceType.L1))
* throw new ArgumentException("L1 / L2 distance type requires model descriptor to be Matrix<float>");
* gpuBruteForceMatcherAdd(_ptr, modelDescriptors);
* }*/
/// <summary>
/// Find the k nearest neighbour using the brute force matcher.
/// </summary>
/// <param name="queryDescriptors">The query descriptors</param>
/// <param name="modelDescriptors">The model descriptors</param>
/// <param name="modelIdx">The model index. A n x <paramref name="k"/> matrix where n = <paramref name="queryDescriptors"/>.Cols</param>
/// <param name="distance">The matrix where the distance valus is stored. A n x <paramref name="k"/> matrix where n = <paramref name="queryDescriptors"/>.Size.Height</param>
/// <param name="k">The number of nearest neighbours to be searched</param>
/// <param name="mask">The mask</param>
/// <param name="stream">Use a Stream to call the function asynchronously (non-blocking) or null to call the function synchronously (blocking).</param>
public void KnnMatchSingle(OclMat <T> queryDescriptors, OclMat <T> modelDescriptors, OclMat <int> modelIdx, OclMat <float> distance, int k, OclMat <Byte> mask)
{
/*
* if (k == 2 && !(modelIdx.IsContinuous && distance.IsContinuous))
* {
* throw new ArgumentException("For k == 2, the allocated index matrix and distance matrix must be continuous");
* }*/
OclInvoke.oclBruteForceMatcherKnnMatchSingle(_ptr, queryDescriptors, modelDescriptors, modelIdx, distance, k, mask);
}
