| public DetectMultiScale ( OpenCvSharp.Mat img, double hitThreshold, Size winStride = null, Size padding = null, double scale = 1.05, int groupThreshold = 2 ) : Rect[] | ||
| img | OpenCvSharp.Mat | Source image. CV_8UC1 and CV_8UC4 types are supported for now. |
| hitThreshold | double | Threshold for the distance between features and SVM classifying plane. |
| winStride | Size | Window stride. It must be a multiple of block stride. |
| padding | Size | Mock parameter to keep the CPU interface compatibility. It must be (0,0). |
| scale | double | Coefficient of the detection window increase. |
| groupThreshold | int | Coefficient to regulate the similarity threshold. /// When detected, some objects can be covered by many rectangles. 0 means not to perform grouping. |
| return | Rect[] | |
public void Run()
{
var img = Cv2.ImRead(FilePath.Image.Asahiyama, ImreadModes.Color);
var hog = new HOGDescriptor();
hog.SetSVMDetector(HOGDescriptor.GetDefaultPeopleDetector());
bool b = hog.CheckDetectorSize();
Console.WriteLine("CheckDetectorSize: {0}", b);
var watch = Stopwatch.StartNew();
// run the detector with default parameters. to get a higher hit-rate
// (and more false alarms, respectively), decrease the hitThreshold and
// groupThreshold (set groupThreshold to 0 to turn off the grouping completely).
Rect[] found = hog.DetectMultiScale(img, 0, new Size(8, 8), new Size(24, 16), 1.05, 2);
watch.Stop();
Console.WriteLine("Detection time = {0}ms", watch.ElapsedMilliseconds);
Console.WriteLine("{0} region(s) found", found.Length);
foreach (Rect rect in found)
{
// the HOG detector returns slightly larger rectangles than the real objects.
// so we slightly shrink the rectangles to get a nicer output.
var r = new Rect
{
X = rect.X + (int)Math.Round(rect.Width * 0.1),
Y = rect.Y + (int)Math.Round(rect.Height * 0.1),
Width = (int)Math.Round(rect.Width * 0.8),
Height = (int)Math.Round(rect.Height * 0.8)
};
img.Rectangle(r.TopLeft, r.BottomRight, Scalar.Red, 3);
}
using (var window = new Window("people detector", WindowMode.Normal, img))
{
window.SetProperty(WindowProperty.Fullscreen, 1);
Cv2.WaitKey(0);
}
}
