protected override void Capture_ImageGrabbed(object sender, EventArgs e)
{
try
{
MyMat = null;
MyMat = new Mat();
if (MyCapture == null)
{
return;
}
MyCapture.Retrieve(MyMat, 0);
if (icPass && white != null)
{
FaceOut++;
if (FaceOut >= FaceOutCount)
{
white.Value.IdNo.ToSaveLog("比对超时,比对失败:");
PhotoErr = FaceFun.BitmapToByte(MyMat.Bitmap);
icPass = false;
ShowEventMsg("对比失败", MsgType.FaceErr);
Dispatcher.InvokeAsync(() => { MiniImg.Source = FaceFun.ByteToBitmapImage(PhotoErr); });
ShowEventMsg("失败：当前用户与身份证对比失败", MsgType.Info);
}
else
{
ShowEventMsg("识别中" + (FaceOutCount - FaceOut), MsgType.TipErr);
CameraRft = Face.FaceTz(MyMat);
if (Face.VerifyIr.ToInt32() == 0)
{
FaceIr = FaceFun.FaceResult(CameraRft, Rft2);
if (FaceIr > _confidence)
{
try
{
//保存识别到的摄像头图片
white.Value.IdNo.ToSaveLog("保存检票成功照片:");
// MyMat.Bitmap.Save(string.Format("{0}{1}.jpg", CamPath, Cvr.Info.Number),ImageFormat.Jpeg);
PhotoOk = FaceFun.BitmapToByte(MyMat.Bitmap);
ShowEventMsg("比对成功", MsgType.TipOk);
FaceIr.ToString().ToSaveLog(white.Value.IdNo + " 比对成功，相似度：");
FacePass = true; //当取信值大于80%认为是同一个人比对成功
}
catch (Exception ex)
{
ex.ToSaveLog("OnComplete：");
}
}
}
}
}
//摄像头视频流输出
Dispatcher.Invoke(() => { CameraPic1.ImageView = icPass && !FacePass ? Face.FaceBitmapSource : MyMat.Bitmap; });
}
catch (Exception ex)
{
ex.ToSaveLog("Capture_ImageGrabbed:");
}
}
protected override void Capture_ImageGrabbed(object sender, EventArgs e)
{
try
{
MyMat = null;
MyMat = new Mat();
if (MyCapture == null)
{
return;
}
if (Cvr == null)
{
"身份证硬件初始化失败".ToSaveLog("FaceIdView.Cature_ImageGrabbed:"); return;
}
MyCapture.Retrieve(MyMat);
if (CvrPass && !FacePass)
{
FaceOut++;
if (FaceOut >= FaceOutCount)
{
Cvr.Info.Number.ToSaveLog("比对超时,比对失败:");
PhotoErr = FaceFun.BitmapToByte(MyMat.Bitmap);
CvrPass = false;
ShowEventMsg("比对超时：当前用户与身份证对比失败", MsgType.Info);
return;
}
ShowEventMsg("识别中" + (FaceOutCount - FaceOut), MsgType.TipErr);
CameraRft = Face.FaceTz(MyMat);
if (Face.VerifyIr.ToInt32() == 0)
{
FaceIr = FaceFun.FaceResult(CameraRft, Rft2);
if (FaceIr > _confidence)
{
try
{
//保存识别到的摄像头图片
Cvr.Info.Number.ToSaveLog("保存检票成功照片:");
// MyMat.Bitmap.Save(string.Format("{0}{1}.jpg", CamPath, Cvr.Info.Number),ImageFormat.Jpeg);
PhotoOk = FaceFun.BitmapToByte(MyMat.Bitmap);
ShowEventMsg("比对成功", MsgType.TipOk);
FaceIr.ToString().ToSaveLog(Cvr.Info.Number + " 比对成功，相似度：");
FacePass = true; //当取信值大于80%认为是同一个人比对成功
}
catch (Exception ex)
{
ex.ToSaveLog("OnComplete：");
}
}
}
}
}
catch (Exception ex)
{
ex.ToSaveLog("Capture_ImageGrabbed:");
}
}
/// <summary> 获取实时摄像头视频流 </summary>
protected virtual Bitmap GetCamBitmap()
{
try
{
lock (Obj)
{
var mat = MyCapture.QueryFrame();
if (CvrPass && !FacePass)
{
FaceOut++;
if (FaceOut >= FaceOutCount)
{
FaceOut = 0;
//var errPhoto = string.Format("{0}CamPhoto\\Err_{1}.jpg", FaceFun.BaseDir, Cvr.Info.Number);
//mat.Bitmap.Save(errPhoto, ImageFormat.Jpeg);
//Thread.Sleep(100);
return(mat.Bitmap);
}
ShowEventMsg("识别中" + (FaceOutCount - FaceOut), MsgType.TipErr);
CameraRft = Face.FaceTz(mat);
if (Face.VerifyIr.ToInt32() == 0)
{
FaceIr = FaceFun.FaceResult(CameraRft, Rft2);
if (FaceIr > _confidence)
{
try
{
//保存识别到的摄像头图片
// mat.Bitmap.Save(string.Format("{0}CamPhoto\\{1}.jpg", FaceFun.BaseDir, Cvr.Info.Number),ImageFormat.Jpeg);
ShowEventMsg("比对成功", MsgType.TipOk);
FaceIr.ToString().ToSaveLog(Cvr.Info.Number + " 比对成功，相似度：");
FacePass = true; //当取信值大于80%认为是同一个人比对成功
}
catch (Exception ex)
{
ex.ToSaveLog("OnComplete：");
}
}
}
return(Face.FaceBitmapSource);
}
return(mat.Bitmap);
}
}
catch (Exception ex)
{
ex.ToSaveLog("Capture_ImageGrabbed:");
}
return(null);
}