private void Sig_Click(object sender, RoutedEventArgs e)
{
if (images == null)
{
images = System.IO.Directory.GetFiles(@"E:\Bases de datos\FDDBppm\2002\07\25\big", "*.ppm");
idx = 0;
}
if (idx >= images.Length)
{
idx = 0;
}
Image <Bgr, Byte> im1 = new Image <Bgr, byte>(images[idx++]);;
if (im1 != null)
{
ImageArchivo.Width = im1.Width;
ImageArchivo.Height = im1.Height;
ImageArchivo.Source = CaptureWebCam.BitmapToImageSource(im1.ToBitmap());
EV.ScanImageWithCascadeClassifier(im1, CascadeFaceDetectorDic);
// EV.ShowListWithoutCombine("12", CanvasArchivo);
// EV.ShowListWithoutCombine("24", CanvasArchivo);
EV.ShowListWithoutCombine(CascadeFaceDetectorDic.Keys.Last(), CanvasArchivo);
// EV.ShowList(CascadeFaceDetectorDic.Keys.Last(), CanvasArchivo);
}
}
public MainWindow()
{
InitializeComponent();
#region instanciar variables globales
string modelpath;
CW = new CaptureWebCam(Image1);
modelpath = @"E:\DeepLearning\Faces12Final\01_Convolution.293";
// modelpath = @"E:\DeepLearning\Faces12Final\02_BatchNormConv.417";
FDC12 = new NetEvaluation(modelpath);
//modelpath = @"E:\DeepLearning\cntk\Examples\FaceDetection16X16X3_VF\Output\Models\01_Convolution.77";
modelpath = @"E:\DeepLearning\cntk\Examples\FaceDetection16X16X3_VF\Output\Models\01_Convolution.16";
FDC16 = new NetEvaluation(modelpath);
modelpath = @"E:\DeepLearning\cntk\Examples\FaceDetection24X24X3V2\Output\Models\01_Convolution.21";
FDC24 = new NetEvaluation(modelpath);
modelpath = @"E:\DeepLearning\cntk\Examples\FaceDetectionModels\Models\01_Convolution.100";
FDC32 = new NetEvaluation(modelpath);
modelpath = @"E:\DeepLearning\cntk\Examples\FaceDetection32X32X3\Output\Models\01_Convolution2.63";
FDC32_2 = new NetEvaluation(modelpath);
EV = new FaceDetector(Canvas1, 128, 4, 1.5f);
EV.AddClassifier("322", FDC32_2, 32);
EV.AddClassifier("32", FDC32, 24);
EV.AddClassifier("24", FDC24, 24, Brushes.SkyBlue);
EV.AddClassifier("16", FDC16, 16, Brushes.Violet);
EV.AddClassifier("12", FDC12, 12, Brushes.YellowGreen);
CascadeFaceDetectorDic = new Dictionary <string, float>();
CascadeFaceDetectorDic.Add("12", 0.4f);
CascadeFaceDetectorDic.Add("24", 0.6f);
//s CascadeFaceDetectorDic.Add("322",0.645f);
//
#endregion
#region procesos temporales
// Utils.ReadFDDBFile(@"E:\Bases de datos\FDDB\FDDB-folds\FDDB-fold-01-ellipseList.txt");
// / Utils.printOutputAndTargetList(FDC16.ReadUciFastReaderAndEvaluate(@"E:\Bases de datos\DatasetFacedetectionUCIreader\facedetector16X16X3Test.txt"));
//fddb = new FDDB(EV);
// fddbdatagenerate();
#endregion
}
private void Siguiente_Click(object sender, RoutedEventArgs e)
{
if (images == null)
{
// images = System.IO.Directory.GetFiles(@"E:\Bases de datos\AFWL\aflw\data\flickr", "*.jpg");
images = System.IO.Directory.GetFiles(@"E:\Bases de datos\AFW\testimages", "*.jpg");
images = System.IO.Directory.GetFiles(@"E:\Bases de datos\AFW", "*.jpg");
//images = System.IO.Directory.GetFiles(@"E:\Bases de datos\ImageNet\Imagenes", "*.jpg");
images = System.IO.Directory.GetFiles(@"C:\Users\Ideapad 300\Pictures", "*.jpg");
idx = 0;
}
if (idx >= images.Length)
{
idx = 0;
}
Image <Bgr, Byte> im1;
try
{
im1 = new Image <Bgr, byte>(images[idx++]);
if (im1 != null)
{
im1 = im1.Resize(ImageFalsos.Height / ((double)im1.Height), Emgu.CV.CvEnum.INTER.CV_INTER_CUBIC);
ImageFalsos.Width = im1.Width;
ImageFalsos.Source = CaptureWebCam.BitmapToImageSource(im1.ToBitmap());
EV.ScanImageWithCascadeClassifier(im1, CascadeFaceDetectorDic);
//EV.ShowListWithoutCombine("12", CanvasFalsos);
//EV.ShowListWithoutCombine("24", CanvasFalsos);
EV.ShowList(CascadeFaceDetectorDic.Keys.Last(), CanvasFalsos);
}
}
catch {
}
}