internal static extern IntPtr cveCudaORBCreate(
int numberOfFeatures,
float scaleFactor,
int nLevels,
int edgeThreshold,
int firstLevel,
int WTA_K,
ORB.ScoreType scoreType,
int patchSize,
int fastThreshold,
[MarshalAs(CvInvoke.BoolMarshalType)]
bool blurForDescriptor,
ref IntPtr feature2D,
ref IntPtr feature2DAsync,
ref IntPtr sharedPtr);
/// <summary>
/// Create a ORBDetector using the specific values
/// </summary>
/// <param name="numberOfFeatures">The number of desired features.</param>
/// <param name="scaleFactor">Coefficient by which we divide the dimensions from one scale pyramid level to the next.</param>
/// <param name="nLevels">The number of levels in the scale pyramid.</param>
/// <param name="firstLevel">The level at which the image is given. If 1, that means we will also look at the image.<paramref name="scaleFactor"/> times bigger</param>
/// <param name="edgeThreshold">How far from the boundary the points should be.</param>
/// <param name="WTK_A">How many random points are used to produce each cell of the descriptor (2, 3, 4 ...).</param>
/// <param name="scoreType">Type of the score to use.</param>
/// <param name="patchSize">Patch size.</param>
/// <param name="blurForDescriptor">Blur for descriptor</param>
/// <param name="fastThreshold">Fast threshold</param>
public CudaORBDetector(
int numberOfFeatures = 500,
float scaleFactor = 1.2f,
int nLevels = 8,
int edgeThreshold = 31,
int firstLevel = 0,
int WTK_A = 2,
ORB.ScoreType scoreType = ORB.ScoreType.Harris,
int patchSize = 31,
int fastThreshold = 20,
bool blurForDescriptor = false)
{
_ptr = CudaInvoke.cveCudaORBCreate(
numberOfFeatures, scaleFactor, nLevels, edgeThreshold, firstLevel, WTK_A, scoreType, patchSize, fastThreshold, blurForDescriptor,
ref _feature2D, ref _feature2DAsyncPtr, ref _sharedPtr);
}
