/*
* /// <summary>
* /// Create a Cuda SURF detector using the specific parameters
* /// </summary>
* /// <param name="detector">The surf detector where the parameters will be borrow from</param>
* /// <param name="featuresRatio">Max features = featuresRatio * img.size().srea().</param>
* public CudaSURFDetector(MCvSURFParams detector, float featuresRatio = 0.01f)
* : this((float)detector.HessianThreshold, detector.NOctaves, detector.NOctaveLayers, (detector.Extended != 0), featuresRatio, (detector.Upright != 0))
* {
* }*/
/// <summary>
/// Create a Cuda SURF detector
/// </summary>
/// <param name="hessianThreshold">The interest operator threshold.</param>
/// <param name="nOctaves">The number of octaves to process.</param>
/// <param name="nOctaveLayers">The number of layers in each octave.</param>
/// <param name="extended">True, if generate 128-len descriptors, false - 64-len descriptors.</param>
/// <param name="featuresRatio">Max features = featuresRatio * img.size().srea().</param>
/// <param name="upright">If set to true, the orientation is not computed for the keypoints</param>
public CudaSURFDetector(
float hessianThreshold = 100.0f,
int nOctaves = 4,
int nOctaveLayers = 2,
bool extended = true,
float featuresRatio = 0.01f,
bool upright = false)
{
_ptr = ContribInvoke.cudaSURFDetectorCreate(hessianThreshold, nOctaves, nOctaveLayers, extended, featuresRatio, upright);
}