Eye detection code

gistfile1.txt

        public string FaceCascade = @"haarcascade_frontalface_default.xml";
        
        public string LeftEyeCascade = @"haarcascade_lefteye_2splits.xml";
        
        public string RightEyeCascade = @"haarcascade_righteye_2splits.xml";

        
        public string EyePair45 = @"hhaarcascade_mcs_eyepair_big.xml";

        
        public string EyePair22 = @"haarcascade_mcs_eyepair_small.xml";




        public List<RectangleF> DetectEyes(Bitmap b) {
            List<RectangleF> eyes = new List<RectangleF>();
            using (IplImage orig = OpenCvSharp.BitmapConverter.ToIplImage(b))
            using (IplImage gray = new IplImage(orig.Size, BitDepth.U8, 1)) {

                //Make grayscale version
                Cv.CvtColor(orig, gray, ColorConversion.BgrToGray);

                int w = orig.Width; int h = orig.Height;
                double ratio = (double)w / (double)h;
                double scale = 1;
                if (ratio > 1) scale = (double)w / 1000;
                if (ratio <= 1) scale = (double)h / 1000;
                scale = Math.Min(1, 1 / scale);


                using (IplImage small = new IplImage(new CvSize(Cv.Round(w * scale), Cv.Round(h * scale)), BitDepth.U8, 1)) {
                    //Resize to smaller version
                    Cv.Resize(gray, small, Interpolation.Area);
                    //Equalize histogram
                    Cv.EqualizeHist(gray, gray);

                    using (CvHaarClassifierCascade cascade = CvHaarClassifierCascade.FromFile(xmlFolder + FaceCascade))
                    using (CvMemStorage storage = new CvMemStorage()) {
                        storage.Clear();

                        Stopwatch watch = Stopwatch.StartNew();
                        //TODO: CvSeq must be disposed...
                        CvSeq<CvAvgComp> faces = Cv.HaarDetectObjects(small, cascade, storage, 1.1, 2, HaarDetectionType.DoCannyPruning);
                        watch.Stop();
                        Console.WriteLine("face detection time = {0}ms\n", watch.ElapsedMilliseconds);

                        using (CvHaarClassifierCascade cPair = CvHaarClassifierCascade.FromFile(xmlFolder + EyePair45))
                        using (CvHaarClassifierCascade cLeft = CvHaarClassifierCascade.FromFile(xmlFolder + LeftEyeCascade))
                        using (CvHaarClassifierCascade cRight = CvHaarClassifierCascade.FromFile(xmlFolder + RightEyeCascade)) {
                            watch.Reset(); watch.Start();
                            foreach (CvAvgComp face in faces) {
                                storage.Clear();
                                //Take the top 4/8ths of the face as the region of interest
                                CvRect r = face.Rect;
                                r.Height = Cv.Round((double)r.Height * 4.0 / 8.0);
                                small.SetROI(r);

                                CvSeq<CvAvgComp> pairs = Cv.HaarDetectObjects(small, cPair, storage, 1.1, 3);
                                foreach (CvAvgComp pair in pairs) {
                                   
                                    int liftedTop = Math.Max(0,pair.Rect.Y - (pair.Rect.Height /2));

                                    CvRect leftEye = pair.Rect;
                                    leftEye.Width = leftEye.Width / 2;
                                    leftEye.X -= leftEye.Width / 10;
                                    leftEye.Height = leftEye.Bottom - liftedTop;
                                    leftEye.Y = liftedTop;
                                    CvRect rightEye = pair.Rect;
                                    rightEye.Width = rightEye.Width / 2;
                                    rightEye.X += rightEye.Width + rightEye.Width / 10;
                                    rightEye.Height = rightEye.Bottom - liftedTop;
                                    rightEye.Y = liftedTop;

                                    storage.Clear();
                                    small.SetROI(leftEye);
                                    CvAvgComp[] leyes = Cv.HaarDetectObjects(small, cLeft, storage, 1.1, 3).ToArrayAndDispose(); //TODO dispose seq.
                                    storage.Clear();
                                    small.SetROI(rightEye);
                                    CvAvgComp[] reyes = Cv.HaarDetectObjects(small, cRight, storage, 1.1, 3).ToArrayAndDispose();//TODO dispose seq.
                                    if (leyes.Length > 0 && reyes.Length > 0) {
                                        eyes.Add(leyes[0].Rect.ToRectangleF());
                                        eyes.Add(reyes[0].Rect.ToRectangleF());
                                    }

                                }
                            }
                            watch.Stop();
                            Console.WriteLine("eye pair and individual eye detection time = {0}ms\n", watch.ElapsedMilliseconds);
                        }


                    }
                }
                //Scale all rectangles by factor to restore to original resolution
                for (int i = 0; i < eyes.Count; i++) {
                    RectangleF e = eyes[i];
                    e.Y = (float)Math.Min(h, e.Y / scale);
                    e.X = (float)Math.Min(w, e.X / scale);
                    e.Height = (float)Math.Min(h - e.Y, e.Height / scale);
                    e.Width = (float)Math.Min(w -e.X, e.Width / scale);
                    eyes[i] = e;
                }
            }
            return eyes;
        }