/// <summary>
/// Performs object detection with increasing detection window.
/// </summary>
/// <param name="image">The image to search in</param>
/// <param name="hitThreshold">
/// Threshold for the distance between features and SVM classifying plane.
/// Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient).
/// But if the free coefficient is omitted (which is allowed), you can specify it manually here.
///</param>
/// <param name="winStride">Window stride. Must be a multiple of block stride.</param>
/// <param name="padding"></param>
/// <param name="scale">Coefficient of the detection window increase.</param>
/// <param name="finalThreshold">After detection some objects could be covered by many rectangles. This coefficient regulates similarity threshold. 0 means don't perform grouping. Should be an integer if not using meanshift grouping. Use 2.0 for default</param>
/// <param name="useMeanshiftGrouping">If true, it will use meanshift grouping.</param>
/// <returns>The regions where positives are found</returns>
public MCvObjectDetection[] DetectMultiScale(
IInputArray image,
double hitThreshold = 0,
Size winStride = new Size(),
Size padding = new Size(),
double scale = 1.05,
double finalThreshold = 2.0,
bool useMeanshiftGrouping = false)
{
using (Util.VectorOfRect vr = new VectorOfRect())
using (Util.VectorOfDouble vd = new VectorOfDouble())
using (InputArray iaImage = image.GetInputArray())
{
CvInvoke.cveHOGDescriptorDetectMultiScale(_ptr, iaImage, vr, vd, hitThreshold, ref winStride, ref padding, scale,
finalThreshold, useMeanshiftGrouping);
Rectangle[] location = vr.ToArray();
double[] weight = vd.ToArray();
MCvObjectDetection[] result = new MCvObjectDetection[location.Length];
for (int i = 0; i < result.Length; i++)
{
MCvObjectDetection od = new MCvObjectDetection();
od.Rect = location[i];
od.Score = (float)weight[i];
result[i] = od;
}
return result;
}
}
/// <summary>
/// Performs object detection with increasing detection window.
/// </summary>
/// <param name="image">The CudaImage to search in</param>
/// <returns>The regions where positives are found</returns>
public MCvObjectDetection[] DetectMultiScale(IInputArray image)
{
using (Util.VectorOfRect vr = new VectorOfRect())
using (Util.VectorOfDouble vd = new VectorOfDouble())
{
DetectMultiScale(image, vr, vd);
Rectangle[] location = vr.ToArray();
double[] weight = vd.ToArray();
MCvObjectDetection[] result = new MCvObjectDetection[location.Length];
for (int i = 0; i < result.Length; i++)
{
MCvObjectDetection od = new MCvObjectDetection();
od.Rect = location[i];
od.Score = (float)weight[i];
result[i] = od;
}
return result;
}
}
