static void Main(string[] args)
{
// 画像の取得
var img = new Bitmap(@"src.jpg");
// グレースケール化
//var gray = new AForge.Imaging.Filters.Grayscale(0.2125, 0.7154, 0.0721).Apply(img);
// カスケード識別器の読み込み
var cascadeFace = Accord.Vision.Detection.Cascades.FaceHaarCascade.FromXml(@"haarcascade_frontalface_default.xml");
// Haar-Like特徴量による物体検出を行うクラスの生成
var detectorFace = new Accord.Vision.Detection.HaarObjectDetector(cascadeFace);
// 読み込んだ画像から顔の位置を検出（顔の位置はRectangle[]で返される）
var faces = detectorFace.ProcessFrame(img);
// 画像に検出された顔の位置を書き込みPictureBoxに表示
var markerFaces = new Accord.Imaging.Filters.RectanglesMarker(faces, Color.Yellow);
img = markerFaces.Apply(img);
// 保存
//Bitmap img2 = markerFaces.ToBitmap();
img.Save(@"dst.jpg");
img.Dispose();
}
static void Main(string[] args)
{
// 画像の取得
var img = new Bitmap(@"src.jpg");
// グレースケール化
//var gray = new AForge.Imaging.Filters.Grayscale(0.2125, 0.7154, 0.0721).Apply(img);
// カスケード識別器の読み込み
var cascadeFace = Accord.Vision.Detection.Cascades.FaceHaarCascade.FromXml(@"haarcascade_frontalface_default.xml");
// Haar-Like特徴量による物体検出を行うクラスの生成
var detectorFace = new Accord.Vision.Detection.HaarObjectDetector(cascadeFace);
// 読み込んだ画像から顔の位置を検出（顔の位置はRectangle[]で返される）
var faces = detectorFace.ProcessFrame(img);
// 画像に検出された顔の位置を書き込みPictureBoxに表示
var markerFaces = new Accord.Imaging.Filters.RectanglesMarker(faces, Color.Yellow);
img = markerFaces.Apply(img);
// 保存
//Bitmap img2 = markerFaces.ToBitmap();
img.Save(@"dst.jpg");
img.Dispose();
}
/// <summary>
/// Apply rectangle marker
/// </summary>
/// <param name="marker">Accord.Imaging.Filters.RectanglesMarker</param>
/// <param name="um">AForge.Imaging.UnmanagedImage</param>
/// <param name="rect">Rectangle</param>
public static void Set(this Accord.Imaging.Filters.RectanglesMarker marker, ref AForge.Imaging.UnmanagedImage um, Rectangle rect)
{
marker.Rectangles = new Rectangle[] { rect };
marker.ApplyInPlace(um);
}
/// <summary>
/// Image processor and the heart of sensor
/// </summary>
/// <param name="sender">object - owner</param>
/// <param name="eventArgs">NewFrameEventArgs - args, contains frame from camera</param>
private void processFrame(object sender, NewFrameEventArgs eventArgs)
{
Rectangle rect = eventArgs.Frame.Bounds();
PixelFormat pf = eventArgs.Frame.PixelFormat;
Bitmap frame = eventArgs.Frame.Clone(rect, pf);
scaleX = frame.Width / processWidth;
scaleY = frame.Height / processHeight;
Bitmap frameFace = eventArgs.Frame.Clone(rect, pf);
if (OnMotionDetected != null)
{
var dataMotion = frame.GetDirectAccess();
var frameUI = dataMotion.GetUnmanaged();
if (motion.ProcessFrame(frameUI) > 0.15)
{
updateMotion(true);
}
else
{
updateMotion(false);
}
frame.UnlockBits(dataMotion);
}
if (OnFaceDetected != null)
{
var dataFace = frameFace.GetDirectAccess();
var faceUI = dataFace.GetUnmanaged();
var downsample = faceUI.ResizeTo(processWidth, processHeight);
var faceDetections = detectorFace.ProcessFrame(downsample);
var faceDetections2 = detectorFaceProfile.ProcessFrame(downsample);
if (isPreview)
{
if (faceDetections.Length > 0)
{
marker = new Accord.Imaging.Filters.RectanglesMarker(faceDetections.Scale(scaleX, scaleY));
marker.MarkerColor = Color.Yellow;
frame = marker.Apply(frame);
}
if (faceDetections2.Length > 0)
{
marker = new Accord.Imaging.Filters.RectanglesMarker(faceDetections2.Scale(scaleX, scaleY));
marker.MarkerColor = Color.Yellow;
frame = marker.Apply(frame);
}
}
frameFace.UnlockBits(dataFace);
if (detectorFace.DetectedObjects != null && detectorFace.DetectedObjects.Length > 0)
{
var faces = detectorFace.DetectedObjects.ToFaces((int)scaleX, (int)scaleY);
for (int i = 0; i < faces.Length; i++)
{
var cutter = new AForge.Imaging.Filters.Crop(faces[i].Bounds);
faces[i].FaceImage = cutter.Apply(frameFace);
if (searchForFaceDirection)
{
detectorNose.ProcessFrame(faces[i].FaceImage);
if (detectorNose.DetectedObjects.Length > 0)
{
faces[i].Direction = FaceDirection.Frontal;
}
}
var eyeDetections = detectorEye.ProcessFrame(faces[i].FaceImage);
if (eyeDetections.Length > 0)
{
if (eyeDetections.Length >= 1)
{
faces[i].Direction = FaceDirection.Frontal;
}
Eye[] eyes = new Eye[eyeDetections.Length];
for (int ie = 0; ie < eyes.Length; ie++)
{
eyes[ie] = new Eye();
eyes[ie].Left = faces[i].Left + eyeDetections[ie].X;
eyes[ie].Top = faces[i].Top + eyeDetections[ie].Y;
eyes[ie].Width = eyeDetections[ie].Width;
eyes[ie].Height = eyeDetections[ie].Height;
var cutter2 = new AForge.Imaging.Filters.Crop(eyes[ie].Bounds);
eyes[ie].EyeImage = cutter.Apply(frameFace);
}
if (isPreview)
{
marker = new Accord.Imaging.Filters.RectanglesMarker(eyes.toRects());
marker.MarkerColor = Color.Orange;
frame = marker.Apply(frame);
}
updateEyeDetected(eyes);
}
}
updateFaceDetected(faces);
}
else if (detectorFaceProfile.DetectedObjects != null && detectorFaceProfile.DetectedObjects.Length > 0)
{
var faces = detectorFaceProfile.DetectedObjects.ToFaces((int)scaleX, (int)scaleY);
for (int i = 0; i < faces.Length; i++)
{
var cutter = new AForge.Imaging.Filters.Crop(faces[i].Bounds);
faces[i].FaceImage = cutter.Apply(frameFace);
if (searchForFaceDirection)
{
detectorEarLeft.ProcessFrame(faces[i].FaceImage);
if (detectorEarLeft.DetectedObjects.Length > 0)
{
faces[i].Direction = FaceDirection.TurnedRight;
}
else
{
detectorEarRight.ProcessFrame(faces[i].FaceImage);
if (detectorEarRight.DetectedObjects.Length > 0)
{
faces[i].Direction = FaceDirection.TurnedLeft;
}
else
{
faces[i].Direction = FaceDirection.NoInfo;
}
}
}
}
updateFaceDetected(faces);
}
}
updateFrameReceived(frame);
}
