/// <summary>
/// Train the calonder classifier with the specific images
/// </summary>
/// <param name="trainImage">The traning image</param>
/// <param name="keypoints">The keypoints on this image</param>
/// <param name="numTrees">Use 48 for default</param>
/// <param name="depth">Use 9 for default</param>
/// <param name="views">Use 5000 for default</param>
/// <param name="reducedNumDim">use 176 for default</param>
/// <param name="numQuantBits">Use 4 for default</param>
public void Train(
Image <TColor, Byte> trainImage,
Point[] keypoints,
int numTrees, int depth,
int views, int reducedNumDim,
int numQuantBits)
{
Debug.Assert(reducedNumDim <= keypoints.Length, "ReducedNumDim should be smaller or equals the number of keypoints");
Random r = new Random();
UInt64 rng = (UInt64)r.Next();
GCHandle handle = GCHandle.Alloc(keypoints, GCHandleType.Pinned);
RTreeClassifierExtern.CvRTreeClassifierTrain(
_ptr,
trainImage,
handle.AddrOfPinnedObject(),
keypoints.Length,
ref rng,
numTrees,
depth,
views,
new IntPtr(reducedNumDim),
numQuantBits,
false);
handle.Free();
}
