public void FaceppThread( )
{
facesDetected = smallGrayFrame.DetectHaarCascade(
haar,
1.1,
10,
Emgu.CV.CvEnum.HAAR_DETECTION_TYPE.DO_CANNY_PRUNING,
new Size(20, 20))[0];
int NUM = 0;
for (int i = 0; i < facesDetected.Length; i++)
{
MCvAvgComp f = facesDetected[i];
DETECTED = true;
this.smallGrayFrame.ROI = f.rect;
Image <Gray, Byte> roiImage = new Image <Gray, Byte> (f.rect.Size);
this.smallGrayFrame.Copy(roiImage, smallGrayFrame);
fsFileName = "DECT.jpg";
roiImage.Save(fsFileName);
DetectResult res_ = fs.Detection_DetectImg(this.smallGrayFrame);
DetectResult res = fs.Detection_DetectImg(System.Environment.CurrentDirectory + "\\" + fsFileName);
if (res.face.Count > 0)
{
age[NUM] = res.face[0].attribute.age;
gender[NUM] = res.face[0].attribute.gender;
NUM++;
}
}
if (DETECTED == true)
{
processingData( );
}
}
private void button1_Click(object sender, RoutedEventArgs e)
{
OpenFileDialog openFileDialog = new OpenFileDialog();
openFileDialog.Title = "选择文件";
openFileDialog.Filter = "jpg文件|*.jpg|png文件|*.png|所有文件|*.*";
openFileDialog.FileName = string.Empty;
openFileDialog.FilterIndex = 1;
openFileDialog.RestoreDirectory = true;
openFileDialog.DefaultExt = "jpg";
DialogResult result = openFileDialog.ShowDialog();
if (result == System.Windows.Forms.DialogResult.Cancel)
{
return;
}
String filepath = openFileDialog.FileName;
BitmapImage bitmap = new BitmapImage();
bitmap.BeginInit();
bitmap.UriSource = new Uri(filepath);
bitmap.DecodePixelHeight = (int)image1.Height;
bitmap.DecodePixelWidth = (int)image1.Width;
bitmap.EndInit();
image1.Source = bitmap;
PngBitmapEncoder pngE = new PngBitmapEncoder();
pngE.Frames.Add(BitmapFrame.Create(bitmap));
using (Stream stream = File.Create(System.IO.Path.Combine(System.Environment.CurrentDirectory, "temp.jpg")))
{
pngE.Save(stream);
}
DetectResult res = fs.Detection_DetectImg(System.IO.Path.Combine(System.Environment.CurrentDirectory, "temp.jpg"));
canvas1.Children.Clear();
for (int i = 0; i < res.face.Count; ++i)
{
RectangleGeometry rect = new RectangleGeometry();
rect.Rect = new Rect(max(res.face[i].position.center.x * image1.Width / 100.0 - res.face[i].position.width * image1.Width / 200.0, 0),
max(res.face[i].position.center.y * image1.Height / 100.0 - res.face[i].position.height * image1.Height / 200.0, 0),
res.face[i].position.width * image1.Width / 100.0, res.face[i].position.height * image1.Height / 100.0);
System.Windows.Shapes.Path myPath = new System.Windows.Shapes.Path();
myPath.Stroke = Brushes.Red;
myPath.StrokeThickness = 3;
myPath.Data = rect;
label1.Content = label1.Content + String.Format("({0:F2},{1:F2})", res.face[0].position.center.x, res.face[0].position.center.y);
label2.Content = label2.Content + String.Format("({0:F2},{1:F2})", res.face[0].position.width, res.face[0].position.height);
canvas1.Children.Add(myPath);
}
}
private void RunCamera(string stage)
{
if (videoSource == null)
{
videoSource = new VideoCaptureDevice();
}
if (videoSource.IsRunning)
{
videoSource.SignalToStop();
videoSource.NewFrame -= videoSource_NewFrame;
videoSource = null;
PngBitmapEncoder pngE = new PngBitmapEncoder();
pngE.Frames.Add(BitmapFrame.Create((BitmapSource)personImage.Source));
using (Stream stream = File.Create(System.Environment.CurrentDirectory + "/temp.jpg"))
{
pngE.Save(stream);
}
DetectResult detectResult = fs.Detection_DetectImg(System.Environment.CurrentDirectory + "/temp.jpg");
File.Delete(System.Environment.CurrentDirectory + "/temp.jpg");
if (stage == "Default")
{
DefaultStage(detectResult);
camera.Content = "Run Camera";
}
else
{
AddFaceStage(detectResult);
cameraTab.Content = "Run Camera";
}
//videoSource.Stop();
}
else
{
videoSource = new VideoCaptureDevice(videoDevices[deviceComboBox.SelectedIndex].MonikerString);
videoSource.NewFrame += videoSource_NewFrame;
videoSource.Start();
if (stage == "Default")
{
camera.Content = "Detect";
}
else
{
cameraTab.Content = "Detect";
}
}
}
static void Main(string[] args)
{
String apiKey = "847e6315f892e21449da5f4077c5104f";
String apiSecret = "BmskojfFyrZVQhkLfNSnRzX-lK8musO6";
FaceService faceService = new FaceService(apiKey, apiSecret);
string filePath = "D:\\Codes\\datasets\\face_morph\\bbt.jpg";
DetectResult detectResult = faceService.Detection_DetectImg(filePath);
Image <Bgr, Byte> srcImg = new Image <Bgr, Byte>(filePath);
for (int cnt = 0; cnt < detectResult.face.Count; cnt++)
{
string pointFileName = String.Format("D:\\Codes\\datasets\\face_morph\\result_bbt_face_{0}.txt", cnt);
FileStream fileStream = new FileStream(pointFileName, FileMode.Create);
StreamWriter streamWriter = new StreamWriter(fileStream);
Rectangle faceRect = new Rectangle(
(int)(detectResult.face[cnt].position.center.x * srcImg.Width / 100 - detectResult.face[cnt].position.width * srcImg.Width * 0.5 / 100),
(int)(detectResult.face[cnt].position.center.y * srcImg.Height / 100 - detectResult.face[cnt].position.height * srcImg.Height * 0.5 / 100),
(int)detectResult.face[cnt].position.width * srcImg.Width / 100,
(int)detectResult.face[cnt].position.height * srcImg.Height / 100);
Image <Bgr, byte> faceImg = srcImg.GetSubRect(faceRect);
string fileName = String.Format("D:\\Codes\\datasets\\face_morph\\result_bbt_face_{0}.jpg", cnt);
faceImg.Save(fileName);
IList <FaceppSDK.Point> featurePoints = new List <FaceppSDK.Point>();
//featurePoints.Add(detectResult.face[cnt].position.center);
FaceppSDK.Point tempPoint1 = new FaceppSDK.Point();
tempPoint1.x = (detectResult.face[cnt].position.eye_left.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint1.y = (detectResult.face[cnt].position.eye_left.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint1);
FaceppSDK.Point tempPoint2 = new FaceppSDK.Point();
tempPoint2.x = (detectResult.face[cnt].position.eye_right.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint2.y = (detectResult.face[cnt].position.eye_right.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint2);
FaceppSDK.Point tempPoint3 = new FaceppSDK.Point();
tempPoint3.x = (detectResult.face[cnt].position.mouth_left.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint3.y = (detectResult.face[cnt].position.mouth_left.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint3);
FaceppSDK.Point tempPoint4 = new FaceppSDK.Point();
tempPoint4.x = (detectResult.face[cnt].position.mouth_right.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint4.y = (detectResult.face[cnt].position.mouth_right.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint4);
FaceppSDK.Point tempPoint5 = new FaceppSDK.Point();
tempPoint5.x = (detectResult.face[cnt].position.nose.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint5.y = (detectResult.face[cnt].position.nose.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint5);
foreach (FaceppSDK.Point featurePoint in featurePoints)
{
streamWriter.WriteLine(featurePoint.x.ToString());
streamWriter.WriteLine(featurePoint.y.ToString());
System.Drawing.PointF point = new System.Drawing.PointF((float)featurePoint.x * srcImg.Width / 100,
(float)featurePoint.y * srcImg.Height / 100);
Cross2DF cross = new Cross2DF(point, (float)3.0, (float)3.0);
srcImg.Draw(cross, new Bgr(0, 255, 0), 3);
}
streamWriter.Flush();
streamWriter.Close();
fileStream.Close();
//srcImg.Save("D:\\Codes\\datasets\\face_morph\\result_bbt.jpg");
}
}
//Shot and detect Process
private void Photograph_Cilck_Process(object arg)
{
//Face detect
try
{
Bitmap tempImage0 = new Bitmap(TempImage, pictureBox.Width, pictureBox.Height);
string argString = (string)arg;
if (argString == "TIMER")
{
}
else if (argString == "BUTTON")
{
this.Invoke((EventHandler)(delegate
{
pictureBox.Image = tempImage0;
}));
textBoxOutput.Clear();
textBoxOutput.AppendText("正在识别。" + Environment.NewLine);
}
else
{
//Never Reach
}
Bitmap tempImage1 = new Bitmap(TempImage, Env.PicProcessWidth, Env.PicProcessHeight);
RandomMemoImage = TempImage;
string tempPath = Path.GetTempFileName();
tempImage1.Save(tempPath);
DetectResult res = fs.Detection_DetectImg(tempPath);
nowDetectResult = res;
Graphics g = Graphics.FromImage(tempImage0);
float FontSize = 20;
for (int i = 0; i < res.face.Count; i++)
{
#region Draw lines
float centerX = (float)(res.face[i].position.center.x / 100 * pictureBox.Width);
float centerY = (float)(res.face[i].position.center.y / 100 * pictureBox.Height);
float halfX = (float)(res.face[i].position.width / 2 / 100 * pictureBox.Width);
float halfY = (float)(res.face[i].position.height / 2 / 100 * pictureBox.Height);
g.DrawString(i.ToString(), new Font("等线", FontSize), Brushes.DarkTurquoise, new PointF(centerX - FontSize / 2, centerY - FontSize / 2));
g.DrawLine(new Pen(Color.DarkTurquoise, 4), centerX - halfX, centerY - halfY, centerX + halfX, centerY - halfY);
g.DrawLine(new Pen(Color.DarkTurquoise, 4), centerX - halfX, centerY + halfY, centerX + halfX, centerY + halfY);
g.DrawLine(new Pen(Color.DarkTurquoise, 4), centerX - halfX, centerY - halfY, centerX - halfX, centerY + halfY);
g.DrawLine(new Pen(Color.DarkTurquoise, 4), centerX + halfX, centerY - halfY, centerX + halfX, centerY + halfY);
#endregion
}
g.Dispose();
pictureBox.Image = tempImage0;
#region Button enable
buttonAddToLib.Enabled = true;
buttonCompare.Enabled = true;
#endregion
ConsoleOutput(res);
File.Delete(tempPath);
}
catch (Exception ex)
{
textBoxOutput.Clear();
textBoxOutput.AppendText("识别已终止。" + Environment.NewLine);
MessageBox.Show("图片识别中发生错误：" + ex.Message);
}
GC.Collect();
}
static void Main(string[] args)
{
String apiKey = "847e6315f892e21449da5f4077c5104f";
String apiSecret = "BmskojfFyrZVQhkLfNSnRzX-lK8musO6";
FaceService faceService = new FaceService(apiKey, apiSecret);
string filePath = "D:\\Codes\\datasets\\face_morph\\bbt.jpg";
DetectResult detectResult = faceService.Detection_DetectImg(filePath);
Image<Bgr, Byte> srcImg = new Image<Bgr, Byte>(filePath);
for(int cnt=0; cnt < detectResult.face.Count; cnt++)
{
string pointFileName = String.Format("D:\\Codes\\datasets\\face_morph\\result_bbt_face_{0}.txt", cnt);
FileStream fileStream = new FileStream(pointFileName, FileMode.Create);
StreamWriter streamWriter = new StreamWriter(fileStream);
Rectangle faceRect = new Rectangle(
(int)(detectResult.face[cnt].position.center.x * srcImg.Width /100 - detectResult.face[cnt].position.width * srcImg.Width * 0.5 / 100),
(int)(detectResult.face[cnt].position.center.y * srcImg.Height / 100 - detectResult.face[cnt].position.height * srcImg.Height * 0.5 / 100),
(int)detectResult.face[cnt].position.width * srcImg.Width / 100,
(int)detectResult.face[cnt].position.height * srcImg.Height / 100);
Image<Bgr, byte> faceImg = srcImg.GetSubRect(faceRect);
string fileName = String.Format("D:\\Codes\\datasets\\face_morph\\result_bbt_face_{0}.jpg", cnt);
faceImg.Save(fileName);
IList<FaceppSDK.Point> featurePoints = new List<FaceppSDK.Point>();
//featurePoints.Add(detectResult.face[cnt].position.center);
FaceppSDK.Point tempPoint1 = new FaceppSDK.Point();
tempPoint1.x = (detectResult.face[cnt].position.eye_left.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint1.y = (detectResult.face[cnt].position.eye_left.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint1);
FaceppSDK.Point tempPoint2 = new FaceppSDK.Point();
tempPoint2.x = (detectResult.face[cnt].position.eye_right.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint2.y = (detectResult.face[cnt].position.eye_right.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint2);
FaceppSDK.Point tempPoint3 = new FaceppSDK.Point();
tempPoint3.x = (detectResult.face[cnt].position.mouth_left.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint3.y = (detectResult.face[cnt].position.mouth_left.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint3);
FaceppSDK.Point tempPoint4 = new FaceppSDK.Point();
tempPoint4.x = (detectResult.face[cnt].position.mouth_right.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint4.y = (detectResult.face[cnt].position.mouth_right.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint4);
FaceppSDK.Point tempPoint5 = new FaceppSDK.Point();
tempPoint5.x = (detectResult.face[cnt].position.nose.x
- detectResult.face[cnt].position.center.x) / detectResult.face[cnt].position.width;
tempPoint5.y = (detectResult.face[cnt].position.nose.y
- detectResult.face[cnt].position.center.y) / detectResult.face[cnt].position.height;
featurePoints.Add(tempPoint5);
foreach (FaceppSDK.Point featurePoint in featurePoints)
{
streamWriter.WriteLine(featurePoint.x.ToString());
streamWriter.WriteLine(featurePoint.y.ToString());
System.Drawing.PointF point = new System.Drawing.PointF((float)featurePoint.x * srcImg.Width / 100,
(float)featurePoint.y * srcImg.Height / 100);
Cross2DF cross = new Cross2DF(point, (float)3.0, (float)3.0);
srcImg.Draw(cross, new Bgr(0, 255, 0), 3);
}
streamWriter.Flush();
streamWriter.Close();
fileStream.Close();
//srcImg.Save("D:\\Codes\\datasets\\face_morph\\result_bbt.jpg");
}
}
