public frmPruebaMano()
{
InitializeComponent();
detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
YCrCb_min = new Ycc(0, 131, 80);
YCrCb_max = new Ycc(255, 185, 135);
imgCaja = new ImageBox();
imgCaja.Height = 306;
imgCaja.Width = 430;
imgCaja.Location = new System.Drawing.Point(12, 42);
imgCaja.SizeMode = PictureBoxSizeMode.StretchImage;
imgCaja2 = new ImageBox();
imgCaja2.Height = 306;
imgCaja2.Width = 430;
imgCaja2.Location = new System.Drawing.Point(478, 42);
imgCaja2.SizeMode = PictureBoxSizeMode.StretchImage;
imgCaja.BorderStyle = BorderStyle.FixedSingle;
imgCaja2.BorderStyle = BorderStyle.FixedSingle;
this.Controls.Add(imgCaja);
this.Controls.Add(imgCaja2);
imgCaja.Show();
}
public void TestAdaptiveSkinDetector()
{
Image<Bgr, Byte> image = new Image<Bgr, byte>("lena.jpg");
using (AdaptiveSkinDetector detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.ERODE_DILATE))
{
Image<Gray, Byte> mask = new Image<Gray, byte>(image.Size);
detector.Process(image, mask);
//mask._EqualizeHist();
//ImageViewer.Show(mask);
}
}
public Form1()
{
InitializeComponent();
grabber = new Emgu.CV.Capture(@".\..\..\..\M2U00253.MPG");
grabber.QueryFrame();
frameWidth = grabber.Width;
frameHeight = grabber.Height;
detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
hsv_min = new Hsv(0, 45, 0);
hsv_max = new Hsv(20, 255, 255);
YCrCb_min = new Ycc(0, 131, 80);
YCrCb_max = new Ycc(255, 185, 135);
box = new MCvBox2D();
ellip = new Ellipse();
Application.Idle += new EventHandler(FrameGrabber);
}
public Form1()
{
InitializeComponent();
grabber = new Emgu.CV.Capture();
grabber.QueryFrame();
frameWidth = grabber.Width;
frameHeight = grabber.Height;
detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
hsv_min = new Hsv(0, 45, 0);
hsv_max = new Hsv(20, 255, 255);
YCrCb_min = new Ycc(0, 131, 80);
YCrCb_max = new Ycc(255, 185, 135);
box = new MCvBox2D();
// ellip = new Ellipse();
_face = new HaarCascade("haarcascade_frontalface_alt_tree.xml");
eyes = new HaarCascade("haarcascade_mcs_eyepair_big.xml");
reye = new HaarCascade("haarcascade_mcs_lefteye.xml");
leye = new HaarCascade("haarcascade_mcs_righteye.xml");
label1.Hide();
}
internal extern static IntPtr CvAdaptiveSkinDetectorCreate(int samplingDivider, AdaptiveSkinDetector.MorphingMethod morphingMethod);
private void InitializeImages(int width, int height)
{
tempImage = new Image<Gray, Byte>(width, height);
newImageG = new Image<Gray, byte>(width, height);
newImage = new Image<Bgr, byte>(width, height);
current_image = new Image<Gray, byte>(width, height);
detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
}
public void Recognize(ref string path, bool needCrop)
{
FaceRectRelative = RectangleF.Empty;
LeftEyeCenter = RightEyeCenter = MouthCenter = Vector2.Zero;
var executablePath = Path.GetDirectoryName(Application.ExecutablePath);
var faceFileName = Path.Combine(executablePath, "Haar cascades", "haarcascade_frontalface_default.xml");
var eyeFileName = Path.Combine(executablePath, "Haar cascades", "haarcascade_eye.xml");
var mouthFileName = Path.Combine(executablePath, "Haar cascades", "haarcascade_mcs_mouth.xml");
var image = new Image<Bgr, byte>(path);
var faceRectangle = Rectangle.Empty;
var mouthRectangle = Rectangle.Empty;
var gray = image.Convert<Gray, Byte>(); //Convert it to Grayscale
//normalizes brightness and increases contrast of the image
gray._EqualizeHist();
if (needCrop)
{
var detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
using (var skin = new Image<Gray, Byte>(image.Width, image.Height))
{
var color = new Bgr(0, 0, 0);
var count = 0;
detector.Process(image, skin);
for (int y = 0; y < skin.Height; y++)
{
for (int x = 0; x < skin.Width; x++)
{
byte value = skin.Data[y, x, 0];
if (value != 0)
{
var c = image[y, x];
color.Red += c.Red;
color.Green += c.Green;
color.Blue += c.Blue;
++count;
}
}
}
if (count > 0)
{
color.Red /= count;
color.Green /= count;
color.Blue /= count;
FaceColor = new Vector4((float)color.Red / 255f, (float)color.Green / 255f, (float)color.Blue / 255f, 1.0f);
}
else
{
FaceColor = new Vector4(0.72f, 0.72f, 0.72f, 1.0f);
}
}
}
using (var face = new HaarCascade(faceFileName))
using (var eye = new HaarCascade(eyeFileName))
using (var mouth = new HaarCascade(mouthFileName))
{
//Detect the faces from the gray scale image and store the locations as rectangle
//The first dimensional is the channel
//The second dimension is the index of the rectangle in the specific channel
var facesDetected = gray.DetectHaarCascade(face, 1.1, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.FIND_BIGGEST_OBJECT, new Size(20, 20));
if (facesDetected.Length == 0 || facesDetected[0].Length == 0)
faceRectangle = new Rectangle(0, 0, image.Width, image.Height);
else
{
faceRectangle = facesDetected[0][0].rect;
if (needCrop) // если это создание проекта - то нужно обрезать фотку и оставить только голову
{
var newHeight = (int)(faceRectangle.Height * 0.5);
var newWidth = newHeight + faceRectangle.Height >= image.Height ? (int)(faceRectangle.Width * 0.2) : (int)(faceRectangle.Width * 0.3); // если по условию - значит лицо крупно, и по ширине незачем широко оставлять
var newImageRect = faceRectangle;
newImageRect.Inflate(newWidth, newHeight);
if (newImageRect.Width < image.Width || newImageRect.Height < image.Height) // если действительно лицо маленькое - делаем обрезание
{
newImageRect.X = newImageRect.X < 0 ? 0 : newImageRect.X;
newImageRect.Y = newImageRect.Y < 0 ? 0 : newImageRect.Y;
if (newImageRect.Width + newImageRect.X > image.Width)
{
var delta = (int)Math.Ceiling(((newImageRect.Width + newImageRect.X) - image.Width) * 0.5f);
if (newImageRect.X - delta < 0)
newImageRect.Width -= delta * 2;
else
{
newImageRect.Width -= delta;
newImageRect.X -= delta;
}
}
if (newImageRect.Height + newImageRect.Y > image.Height)
{
var delta = (int)Math.Ceiling(((newImageRect.Height + newImageRect.Y) - image.Height) * 0.5f);
if (newImageRect.Y - delta < 0)
newImageRect.Height -= delta * 2;
else
{
newImageRect.Height -= delta;
newImageRect.Y -= delta;
}
}
using (var croppedImage = ImageEx.Crop(path, newImageRect))
{
path = UserConfig.AppDataDir;
FolderEx.CreateDirectory(path);
path = Path.Combine(path, "tempHaarImage.jpg");
croppedImage.Save(path, ImageFormat.Jpeg);
}
Recognize(ref path, false);
return;
}
}
}
#region Рот
//Set the region of interest on the faces
gray.ROI = faceRectangle;
var mouthDetected = gray.DetectHaarCascade(mouth, 1.1, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_ROUGH_SEARCH, new Size(20, 20));
gray.ROI = Rectangle.Empty;
if (mouthDetected.Length > 0 && mouthDetected[0].Length > 0)
{
var sortedMouths = mouthDetected[0].OrderByDescending(x => x.rect.Y).ToList();
var hasBetterMouth = false;
if (sortedMouths.Count > 1) // обрабатываем случай, когда два рта расположены близко, но нижний - неправильный.
{
var mouthRect1 = sortedMouths[0].rect;
var mouthRect2 = sortedMouths[1].rect;
if (Math.Abs(mouthRect1.Y - mouthRect2.Y) < 20)
{
var rectS1 = mouthRect1.Width * mouthRect1.Height;
var rectS2 = mouthRect2.Width * mouthRect2.Height;
if (rectS2 > rectS1)
{
hasBetterMouth = true;
mouthRectangle = mouthRect2;
mouthRectangle.Offset(faceRectangle.X, faceRectangle.Y);
var heightCoef = mouthRectangle.Height > 60 ? 0.28f : 0.4f;
// var heightCoef = 1;
MouthCenter = new Vector2(mouthRectangle.X + mouthRectangle.Width * 0.5f, mouthRectangle.Y + mouthRectangle.Height * heightCoef);
}
}
}
if (!hasBetterMouth)
{
mouthRectangle = sortedMouths[0].rect;
mouthRectangle.Offset(faceRectangle.X, faceRectangle.Y);
var heightCoef = mouthRectangle.Height > 60 ? 0.28f : 0.4f; // более пиздец точное распознавание -_-
//var heightCoef = 1;
MouthCenter = new Vector2(mouthRectangle.X + mouthRectangle.Width * 0.5f, mouthRectangle.Y + mouthRectangle.Height * heightCoef);
}
image.Draw(mouthRectangle, new Bgr(Color.Green), 2);
}
if (MouthCenter == Vector2.Zero) // если не определилось - втыкаем по дефолту
MouthCenter = new Vector2(faceRectangle.Width * 0.5f, faceRectangle.Height / 1.5f);
#endregion
#region Глазки
//Set the region of interest on the faces
gray.ROI = faceRectangle;
var eyesDetected = gray.DetectHaarCascade(eye, 1.1, 10, Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING, new Size(30, 30));
gray.ROI = Rectangle.Empty;
if (eyesDetected.Length > 0 && eyesDetected[0].Length > 0)
{
if (eyesDetected[0].Length == 1) // определился один глаз
{
var eyeRect = eyesDetected[0][0].rect;
eyeRect.Offset(faceRectangle.X, faceRectangle.Y);
var center = new Vector2(eyeRect.X + eyeRect.Width * 0.5f, eyeRect.Y + eyeRect.Height * 0.5f);
if (center.X < MouthCenter.X) // определяем глаз по положению рта
{
LeftEyeCenter = center;
}
else
{
RightEyeCenter = center;
}
}
else // определилось несколько глаз. выбираем нужные. развлекаемся
{
var sortedEyes = eyesDetected[0].OrderBy(x => x.rect.X).ToList();
var j1 = 0;
for (var j = 0; j < sortedEyes.Count - 1; j++)
{
var rf = sortedEyes[j].rect;
rf.Offset(faceRectangle.X, faceRectangle.Y);
var center = new Vector2(rf.X + rf.Width * 0.5f, rf.Y + rf.Height * 0.5f);
if (Math.Abs(center.Y - MouthCenter.Y) > 20)
{
LeftEyeCenter = center;
j1 = j;
break;
}
}
for (var i = sortedEyes.Count - 1; i > j1; i--)
{
var rf = sortedEyes[i].rect;
rf.Offset(faceRectangle.X, faceRectangle.Y);
var center = new Vector2(rf.X + rf.Width * 0.5f, rf.Y + rf.Height * 0.5f);
if (Math.Abs(center.Y - LeftEyeCenter.Y) < 65 && Math.Abs(center.X - LeftEyeCenter.X) > 20) // абсолютно от балды числа .что бы уж сильно явные выпады убрать
{
RightEyeCenter = center;
break;
}
}
}
}
#region Глазки не определились. Через три пизды колено определяем
if (LeftEyeCenter == Vector2.Zero)
{
if (RightEyeCenter != Vector2.Zero) // определяем через правый глаз и рот
{
var delta = Math.Abs(RightEyeCenter.X - MouthCenter.X);
LeftEyeCenter = new Vector2(MouthCenter.X - delta, RightEyeCenter.Y);
}
else // примерно определяем через прямоугольник лица
LeftEyeCenter = new Vector2(faceRectangle.X + faceRectangle.Width / 3.5f, faceRectangle.Y + faceRectangle.Height / 3f);
}
if (RightEyeCenter == Vector2.Zero)
{
if (LeftEyeCenter != Vector2.Zero) // определяем через левый глаз и рот
{
var delta = MouthCenter.X - LeftEyeCenter.X;
RightEyeCenter = new Vector2(MouthCenter.X + delta, LeftEyeCenter.Y);
}
else // примерно определяем через прямоугольник лица
RightEyeCenter = new Vector2(faceRectangle.X + faceRectangle.Width / 3.5f, faceRectangle.Y + faceRectangle.Height / 3f);
}
#endregion
#region Поворот фотки по глазам!
var v = new Vector2(LeftEyeCenter.X - RightEyeCenter.X, LeftEyeCenter.Y - RightEyeCenter.Y);
v.Normalize(); // ПД !
var xVector = new Vector2(1, 0);
var xDiff = xVector.X - v.X;
var yDiff = xVector.Y - v.Y;
var angle = Math.Atan2(yDiff, xDiff) * 180.0 / Math.PI;
if (Math.Abs(angle) > 1 && angleCount <= 5) // поворачиваем наклоненные головы
{
++angleCount;
using (var ms = new MemoryStream(File.ReadAllBytes(path))) // Don't use using!!
{
var originalImg = (Bitmap)Bitmap.FromStream(ms);
path = UserConfig.AppDataDir;
FolderEx.CreateDirectory(path);
path = Path.Combine(path, "tempHaarImage.jpg");
using (var ii = ImageEx.RotateImage(new Bitmap(originalImg), (float)-angle))
ii.Save(path, ImageFormat.Jpeg);
}
Recognize(ref path, false);
return;
}
#endregion
#endregion
}
#region Переводим в относительные координаты
MouthCenter = new Vector2(MouthCenter.X / (image.Width * 1f), MouthCenter.Y / (image.Height * 1f));
LeftEyeCenter = new Vector2(LeftEyeCenter.X / (image.Width * 1f), LeftEyeCenter.Y / (image.Height * 1f));
RightEyeCenter = new Vector2(RightEyeCenter.X / (image.Width * 1f), RightEyeCenter.Y / (image.Height * 1f));
var leftTop = new Vector2(LeftEyeCenter.X, Math.Max(LeftEyeCenter.Y, RightEyeCenter.Y));
var rightBottom = new Vector2(RightEyeCenter.X, MouthCenter.Y);
FaceRectRelative = new RectangleF(leftTop.X, leftTop.Y, rightBottom.X - leftTop.X, rightBottom.Y - leftTop.Y);
#endregion
}
public bool Recognize(ref string path, bool needCrop)
{
FaceRectRelative = RectangleF.Empty;
LeftEyeCenter = RightEyeCenter = LeftMouth = LeftNose = RightNose = RightMouth = Vector2.Zero;
var executablePath = Path.GetDirectoryName(Application.ExecutablePath);
FSDK.TPoint[] pointFeature;
FSDK.CImage image = new FSDK.CImage(path);
var faceRectangle = Rectangle.Empty;
var mouthRectangle = Rectangle.Empty;
#region Определение цвета лица
if (needCrop)
{
var openCvImage = new Image<Bgr, byte>(path);
var detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
using (var skin = new Image<Gray, Byte>(image.Width, image.Height))
{
var color = new Bgr(0, 0, 0);
var count = 0;
detector.Process(openCvImage, skin);
for (int y = 0; y < skin.Height; y++)
{
for (int x = 0; x < skin.Width; x++)
{
byte value = skin.Data[y, x, 0];
if (value != 0)
{
var c = openCvImage[y, x];
color.Red += c.Red;
color.Green += c.Green;
color.Blue += c.Blue;
++count;
}
}
}
if (count > 0)
{
color.Red /= count;
color.Green /= count;
color.Blue /= count;
FaceColor = new Vector4((float)color.Red / 255f, (float)color.Green / 255f, (float)color.Blue / 255f, 1.0f);
}
else
{
FaceColor = new Vector4(0.72f, 0.72f, 0.72f, 1.0f);
}
}
}
#endregion
FSDK.TFacePosition facePosition = image.DetectFace();
if (0 == facePosition.w)
{
faceRectangle = new Rectangle(0, 0, image.Width, image.Height);
MessageBox.Show("No faces detected", "Face Detection");
return false;
}
else
{
pointFeature = image.DetectFacialFeaturesInRegion(ref facePosition);
String AttributeValues; // определение пола
FSDK.DetectFacialAttributeUsingFeatures(image.ImageHandle, ref pointFeature, "Gender", out AttributeValues, 1024);
float ConfidenceMale = 0.0f;
float ConfidenceFemale = 0.0f;
FSDK.GetValueConfidence(AttributeValues, "Male", ref ConfidenceMale);
FSDK.GetValueConfidence(AttributeValues, "Female", ref ConfidenceFemale);
IsMale = ConfidenceMale > ConfidenceFemale;
int left = facePosition.xc - (int)(facePosition.w * 0.6f);
left = left < 0 ? 0 : left;
// int top = facePosition.yc - (int)(facePosition.w * 0.5f); // верхушку определяет неправильлно. поэтому просто не будем обрезать :)
BottomFace = new Vector2(pointFeature[11].x, pointFeature[11].y);
var distance = pointFeature[2].y - pointFeature[11].y;
var top = pointFeature[16].y + distance - 15; // определение высоты по алгоритму старикана
top = top < 0 ? 0 : top;
var newWidth = (int)(facePosition.w * 1.2);
newWidth = newWidth > image.Width ? image.Width : newWidth;
faceRectangle = new Rectangle(left, top, newWidth, BottomFace.Y + 15 < image.Height ? (int)(BottomFace.Y + 15) - top : image.Height - top - 1);
if (needCrop) // если это создание проекта - то нужно обрезать фотку и оставить только голову
{
using (var croppedImage = ImageEx.Crop(path, faceRectangle))
{
path = UserConfig.AppDataDir;
FolderEx.CreateDirectory(path);
path = Path.Combine(path, "tempHaarImage.jpg");
croppedImage.Save(path, ImageFormat.Jpeg);
return Recognize(ref path, false);
}
}
LeftEyeCenter = new Vector2(pointFeature[0].x, pointFeature[0].y);
RightEyeCenter = new Vector2(pointFeature[1].x, pointFeature[1].y);
LeftMouth = new Vector2(pointFeature[3].x, pointFeature[3].y);
RightMouth = new Vector2(pointFeature[4].x, pointFeature[4].y);
LeftNose = new Vector2(pointFeature[45].x, pointFeature[45].y);
RightNose = new Vector2(pointFeature[46].x, pointFeature[46].y);
TopFace = new Vector2(pointFeature[66].x, pointFeature[66].y);
MiddleFace1 = new Vector2(pointFeature[66].x, pointFeature[66].y);
MiddleFace2 = new Vector2(pointFeature[5].x, pointFeature[5].y);
RightMiddleFace1 = new Vector2(pointFeature[67].x, pointFeature[67].y);
RightMiddleFace2 = new Vector2(pointFeature[6].x, pointFeature[6].y);
#region Поворот фотки по глазам!
var v = new Vector2(LeftEyeCenter.X - RightEyeCenter.X, LeftEyeCenter.Y - RightEyeCenter.Y);
v.Normalize(); // ПД !
var xVector = new Vector2(1, 0);
var xDiff = xVector.X - v.X;
var yDiff = xVector.Y - v.Y;
var angle = Math.Atan2(yDiff, xDiff) * 180.0 / Math.PI;
if (Math.Abs(angle) > 1 && angleCount <= 5) // поворачиваем наклоненные головы
{
++angleCount;
using (var ms = new MemoryStream(File.ReadAllBytes(path))) // Don't use using!!
{
var originalImg = (Bitmap)Bitmap.FromStream(ms);
path = UserConfig.AppDataDir;
FolderEx.CreateDirectory(path);
path = Path.Combine(path, "tempHaarImage.jpg");
using (var ii = ImageEx.RotateImage(new Bitmap(originalImg), (float)-angle))
ii.Save(path, ImageFormat.Jpeg);
}
return Recognize(ref path, false);
}
#endregion
#region Переводим в относительные координаты
LeftMouth = new Vector2(LeftMouth.X / (image.Width * 1f), LeftMouth.Y / (image.Height * 1f));
RightMouth = new Vector2(RightMouth.X / (image.Width * 1f), RightMouth.Y / (image.Height * 1f));
LeftEyeCenter = new Vector2(LeftEyeCenter.X / (image.Width * 1f), LeftEyeCenter.Y / (image.Height * 1f));
RightEyeCenter = new Vector2(RightEyeCenter.X / (image.Width * 1f), RightEyeCenter.Y / (image.Height * 1f));
LeftNose = new Vector2(LeftNose.X / (image.Width * 1f), LeftNose.Y / (image.Height * 1f));
RightNose = new Vector2(RightNose.X / (image.Width * 1f), RightNose.Y / (image.Height * 1f));
TopFace = new Vector2(TopFace.X / (image.Width * 1f), TopFace.Y / (image.Height * 1f));
MiddleFace1 = new Vector2(MiddleFace1.X / (image.Width * 1f), MiddleFace1.Y / (image.Height * 1f));
MiddleFace2 = new Vector2(MiddleFace2.X / (image.Width * 1f), MiddleFace2.Y / (image.Height * 1f));
BottomFace = new Vector2(BottomFace.X / (image.Width * 1f), BottomFace.Y / (image.Height * 1f));
RightMiddleFace1 = new Vector2(RightMiddleFace1.X / (image.Width * 1f), RightMiddleFace1.Y / (image.Height * 1f));
RightMiddleFace2 = new Vector2(RightMiddleFace2.X / (image.Width * 1f), RightMiddleFace2.Y / (image.Height * 1f));
FacialFeatures = new List<Vector2>();
foreach (var point in pointFeature)
FacialFeatures.Add(new Vector2(point.x / (image.Width * 1f), point.y / (image.Height * 1f)));
/* int left = facePosition.xc - (int)(facePosition.w * 0.6f);
int top = facePosition.yc - (int)(facePosition.w * 0.5f);
var lRelative =
faceRectangle = new Rectangle(left, top, (int)(facePosition.w * 1.2), (int)(facePosition.w * 1.2));
FaceRectRelative =
*/
// var leftTop = new Vector2(LeftEyeCenter.X, Math.Max(LeftEyeCenter.Y, RightEyeCenter.Y));
// var rightBottom = new Vector2(RightEyeCenter.X, LeftMouth.Y);
// FaceRectRelative = new RectangleF(leftTop.X, leftTop.Y, rightBottom.X - leftTop.X, rightBottom.Y - leftTop.Y);
#endregion
return true;
}
}
private void MainWindow_Loaded(object sender, RoutedEventArgs e)
{
heightHand = (int)imageConvexHull.Height;
widhtHand = (int)imageConvexHull.Width;
nui.Initialize(RuntimeOptions.UseColor | RuntimeOptions.UseSkeletalTracking);
nui.VideoFrameReady += Nui_VideoFrameReady;
nui.VideoStream.Open(ImageStreamType.Video, 2, ImageResolution.Resolution1280x1024, ImageType.Color);
#region SmoothTransform
nui.SkeletonEngine.TransformSmooth = true;
var parameters = new TransformSmoothParameters { Smoothing = 0.75f, Correction = 0.0f,
Prediction = 0.0f, JitterRadius = 0.05f, MaxDeviationRadius = 0.04f };
nui.SkeletonEngine.SmoothParameters = parameters;
#endregion
nui.SkeletonFrameReady += Nui_skeleton_SkeletonFrameReady;
#region HandRecognitionInit
detector = new AdaptiveSkinDetector(1, AdaptiveSkinDetector.MorphingMethod.NONE);
hsv_min = new Hsv(10, 45, 50);
hsv_max = new Hsv(20, 255, 255);
YCrCb_min = new Ycc(0, 131, 80);
YCrCb_max = new Ycc(255, 185, 135);
box = new MCvBox2D();
ellip = new Emgu.CV.Structure.Ellipse();
#endregion
haarCascade = new HaarCascade(rootXML+xmlName) ?? null;
if (haarCascade == null)
Console.WriteLine("Haar cascade is null.");
}