Emgu.CV.CvInvoke.CvHOGDescriptorDetectMultiScale C# (CSharp) Метод

        internal static extern void CvHOGDescriptorDetectMultiScale(
         IntPtr descriptor,
         IntPtr img,
         IntPtr foundLocations,
         double hitThreshold,
         Size winStride,
         Size padding,
         double scale,
         double finalThreshold,
         [MarshalAs(CvInvoke.BoolMarshalType)]
         bool useMeanshiftGrouping);

 /// <summary>
 /// Perfroms 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 specfied 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 Rectangle[] DetectMultiScale(
     Image <Bgr, Byte> image,
     double hitThreshold,
     Size winStride,
     Size padding,
     double scale,
     int finalThreshold,
     bool useMeanshiftGrouping)
 {
     using (MemStorage stor = new MemStorage())
     {
         Seq <MCvObjectDetection> seq = new Seq <MCvObjectDetection>(stor);
         CvInvoke.CvHOGDescriptorDetectMultiScale(_ptr, image, seq, hitThreshold, winStride, padding, scale, finalThreshold, useMeanshiftGrouping);
         return(Array.ConvertAll(seq.ToArray(), delegate(MCvObjectDetection obj) { return obj.Rect; }));
     }
 }