/// <summary>
/// 透過OpenCV進行人臉是否存在的辨識
/// </summary>
/// <param name="objMat"></param>
/// <param name="index"></param>
/// <returns></returns>
private OpenCVResult CaptureFace(Mat objMat)
{
long detectionTime;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
DetectFace.Detect(
objMat, "haarcascade_frontalface_default.xml", "haarcascade_eye.xml",
faces, eyes,
out detectionTime);
// 重新計算比例
decimal diWidth = decimal.Parse(picRender.Width.ToString()) / decimal.Parse(objMat.Bitmap.Width.ToString());
decimal diHeight = decimal.Parse(picRender.Height.ToString()) / decimal.Parse(objMat.Bitmap.Height.ToString());
List <Rectangle> objDraw = new List <Rectangle>();
for (int i = 0; i < faces.Count; i++)
{
objDraw.Add(new Rectangle(
(int)(faces[i].X * diWidth),
(int)(faces[i].Y * diHeight),
(int)(faces[i].Width * diWidth),
(int)(faces[i].Height * diHeight)
));
}
OpenCVResult result = new OpenCVResult()
{
eyes = eyes,
faces = faces,
};
return(result);
}
/// <summary>
/// 使用固定秒數後，取得Cam的影像圖片，並使用圖片進行人臉辨識
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void timer1_Tick(object sender, EventArgs e)
{
using (Mat objMat = new Mat())
{
#region // 使用本地端Cam
objVideoCapture = new VideoCapture(0);
objVideoCapture.Retrieve(objMat);
#endregion
#region // 使用IPCam
//System.Net.WebRequest request = System.Net.WebRequest.Create("http://192.168.100.16/image/jpeg.cgi");
//request.Credentials = new System.Net.NetworkCredential("facedetect", "facedetect");
//System.Net.WebResponse response = request.GetResponse();
//System.IO.Stream responseStream = response.GetResponseStream();
//Bitmap bitmap2 = new Bitmap(responseStream);
//Image<Bgr, Byte> imageCV = new Image<Bgr, byte>(bitmap2); //Image Class from Emgu.CV
//objMat = imageCV.Mat;
#endregion
if (objMat.Bitmap != null)
{
OpenCVResult result = this.CaptureFace(objMat);
// 在影像上進行框線的繪圖
for (int f = 0; f < result.faces.Count; f++)
{
CvInvoke.Rectangle(objMat, result.faces[f], new Bgr(Color.Red).MCvScalar, 2);
}
for (int y = 0; y < result.eyes.Count; y++)
{
CvInvoke.Rectangle(objMat, result.eyes[y], new Bgr(Color.Yellow).MCvScalar, 1);
}
// 將圖片放到PictureBox之中
if (picRender.Image != null)
{
picRender.Image.Dispose();
}
IntPtr gdibitmap = objMat.Bitmap.GetHbitmap();
picRender.Image = Image.FromHbitmap(gdibitmap);
DeleteObject(gdibitmap);
}
}
}
/// <summary>
/// 處理影格的動作
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void ProcessFrameAsync(object sender, EventArgs e)
{
try
{
using (Mat objMat = new Mat())
{
// 從OpenCV取得影像，並辨識人臉的存在
objVideoCapture.Retrieve(objMat);
OpenCVResult result = this.CaptureFace(objMat);
// 在影像上進行框線的繪圖
for (int f = 0; f < result.faces.Count; f++)
{
CvInvoke.Rectangle(objMat, result.faces[f], new Bgr(Color.Red).MCvScalar, 2);
}
for (int y = 0; y < result.eyes.Count; y++)
{
CvInvoke.Rectangle(objMat, result.eyes[y], new Bgr(Color.Yellow).MCvScalar, 1);
}
// 將圖片放到PictureBox之中
if (picRender.Image != null)
{
picRender.Image.Dispose();
}
IntPtr gdibitmap = objMat.Bitmap.GetHbitmap();
picRender.Image = Image.FromHbitmap(gdibitmap);
DeleteObject(gdibitmap);
Thread.Sleep(5);
}
}
catch (Exception ex)
{
string strMsg = ex.Message;
txtMessage.Text = strMsg;
}
}
