public void AddClassifier(string Key, NetEvaluation Net, int Edge, System.Windows.Media.Brush BbColor)
{
Classifier.Add(Key, Net);
edge.Add(Key, Edge);
array.Add(Key, new float[Edge * Edge * 3]);
BoundingBox.Add(Key, new BoundingBoxes());
bbColor.Add(Key, BbColor);
}
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
}
/// <summary>
/// Add a classifier
/// </summary>
/// <param name="Key"> key of the classifier</param>
/// <param name="Net"> classifier</param>
/// <param name="Edge">Borde</param>
public void AddClassifier(string Key, NetEvaluation Net, int Edge)
{
AddClassifier(Key, Net, Edge, colors[colorIndex]);
}
