private void WorkerThread()
{
while (true)
{
_tokenSource.Token.ThrowIfCancellationRequested();
this.goSignal.WaitOne();
var portraits = this.Dequeue();
if (portraits == null)
{
continue;
}
if (portraits.Count == 0)
{
return;
}
foreach (var portrait in portraits)
{
var fs = new FaceSpecification();
var canCompare = _faceComparer.CalcFeature(portrait.GetIpl(), fs);
if (canCompare)
{
var tgs = Targets;
foreach (var targetPerson in tgs)
{
_tokenSource.Token.ThrowIfCancellationRequested();
var ts = new FaceSpecification();
ts.EyebrowRatio = targetPerson.EyebrowRatio;
ts.EyebrowShape = targetPerson.EyeBrowShape;
ts.Features = targetPerson.FeaturePoints;
var compareResults = _faceComparer.CmpFace(fs, ts);
if (compareResults > 70)
{
var fdr = new PersonOfInterestDetectionResult()
{
Similarity = compareResults,
Suspect = portrait,
Target = targetPerson
};
Mediator.Instance.NotifyColleagues(fdr);
}
}
}
}
}
}
private void WorkerThread()
{
while (true)
{
_tokenSource.Token.ThrowIfCancellationRequested();
this.goSignal.WaitOne();
var portraits = this.Dequeue();
if (portraits == null)
{
continue;
}
if (portraits.Count == 0)
{
return;
}
foreach (var portrait in portraits)
{
var fs = new FaceSpecification();
var canCompare = _faceComparer.CalcFeature(portrait.GetIpl(), fs);
if (canCompare)
{
foreach (var targetPerson in _targets)
{
_tokenSource.Token.ThrowIfCancellationRequested();
var ts = new FaceSpecification();
ts.EyebrowRatio = targetPerson.EyebrowRatio;
ts.EyebrowShape = targetPerson.EyebrowRatio;
ts.Features = targetPerson.FeaturePoints;
var compareResults = _faceComparer.CmpFace(fs, ts);
if (compareResults > _sensitivity)
{
NotifyListeners(portrait, top);
}
}
}
}
}
}
public void Test()
{
//
// TODO: Add test logic here
//
var comparer = FaceRecoWrapper.FromModel(@"model.txt",
@"haarcascade_frontalface_alt2.xml");
var fpXue1 = new FaceSpecification();
var sucXue1 = comparer.CalcFeature(TestDataProvider.Data.GetImage1(), fpXue1);
var fp1Clone = new FaceSpecification();
var bmp = TestDataProvider.Data.Face1OfXue.ToBitmap();
var bmpClone = OpenCvSharp.IplImage.FromBitmap(bmp);
var suc2 = comparer.CalcFeature(TestDataProvider.Data.GetImage2(), fp1Clone);
var similar = comparer.CmpFace(fpXue1, fp1Clone);
Assert.IsTrue(similar == 100.0);
//var fpXue2 = new FaceSpecification();
//var sucXue2 = comparer.CalcFeature(TestDataProvider.Data.Face2OfXue, fpXue2);
//var simXue1Xue2 = comparer.CmpFace(fpXue1, fpXue2);
//var fpDeng = new FaceSpecification();
//var sucDeng = comparer.CalcFeature(TestDataProvider.Data.FaceOfDengDong, fpDeng);
////var simXue1Deng = comparer.CmpFace(fp1, fpDeng);
//var fpGirl = new FaceSpecification();
//var sucGirl = comparer.CalcFeature(TestDataProvider.Data.GetPortrait(), fpGirl);
//var simXue1Girl = comparer.CmpFace(fpXue1, fpGirl);
//var simXue2Girl = comparer.CmpFace(fpXue2, fpGirl);
//var fpShen = new FaceSpecification();
//var sucShen = comparer.CalcFeature(TestDataProvider.Data.FaceOfShen, fpShen);
//var simXue1Shen = comparer.CmpFace(fpXue1, fpShen);
//Assert.IsTrue(simXue1Shen == 0);
}
public void Test()
{
//
// TODO: Add test logic here
//
var comparer = FaceRecoWrapper.FromModel(@"model.txt",
@"haarcascade_frontalface_alt2.xml");
var fpXue1 = new FaceSpecification();
var sucXue1 = comparer.CalcFeature(TestDataProvider.Data.GetImage1(), fpXue1);
var fp1Clone = new FaceSpecification();
var bmp = TestDataProvider.Data.Face1OfXue.ToBitmap();
var bmpClone = OpenCvSharp.IplImage.FromBitmap(bmp);
var suc2 = comparer.CalcFeature( TestDataProvider.Data.GetImage2() , fp1Clone);
var similar = comparer.CmpFace(fpXue1, fp1Clone);
Assert.IsTrue(similar == 100.0);
//var fpXue2 = new FaceSpecification();
//var sucXue2 = comparer.CalcFeature(TestDataProvider.Data.Face2OfXue, fpXue2);
//var simXue1Xue2 = comparer.CmpFace(fpXue1, fpXue2);
//var fpDeng = new FaceSpecification();
//var sucDeng = comparer.CalcFeature(TestDataProvider.Data.FaceOfDengDong, fpDeng);
////var simXue1Deng = comparer.CmpFace(fp1, fpDeng);
//var fpGirl = new FaceSpecification();
//var sucGirl = comparer.CalcFeature(TestDataProvider.Data.GetPortrait(), fpGirl);
//var simXue1Girl = comparer.CmpFace(fpXue1, fpGirl);
//var simXue2Girl = comparer.CmpFace(fpXue2, fpGirl);
//var fpShen = new FaceSpecification();
//var sucShen = comparer.CalcFeature(TestDataProvider.Data.FaceOfShen, fpShen);
//var simXue1Shen = comparer.CmpFace(fpXue1, fpShen);
//Assert.IsTrue(simXue1Shen == 0);
}
private void WorkerThread()
{
while (true)
{
_tokenSource.Token.ThrowIfCancellationRequested();
this.goSignal.WaitOne();
var portraits = this.Dequeue();
if (portraits == null)
{
continue;
}
if (portraits.Count == 0)
{
return;
}
foreach (var portrait in portraits)
{
var fs = new FaceSpecification();
var canCompare = _faceComparer.CalcFeature(portrait.GetIpl(), fs);
if (canCompare)
{
var tgs = Targets;
foreach (var targetPerson in tgs)
{
_tokenSource.Token.ThrowIfCancellationRequested();
var ts = new FaceSpecification();
ts.EyebrowRatio = targetPerson.EyebrowRatio;
ts.EyebrowShape = targetPerson.EyeBrowShape;
ts.Features = targetPerson.FeaturePoints;
var compareResults = _faceComparer.CmpFace(fs, ts);
if (compareResults > 70)
{
var fdr = new PersonOfInterestDetectionResult()
{
Similarity = compareResults,
Suspect = portrait,
Target = targetPerson
};
Mediator.Instance.NotifyColleagues(fdr);
}
}
}
}
}
}
private void WorkerThread()
{
while (true)
{
_tokenSource.Token.ThrowIfCancellationRequested();
this.goSignal.WaitOne();
var portraits = this.Dequeue();
if (portraits == null)
{
continue;
}
if (portraits.Count == 0)
{
return;
}
foreach (var portrait in portraits)
{
var fs = new FaceSpecification();
var canCompare = _faceComparer.CalcFeature(portrait.GetIpl(), fs);
if (canCompare)
{
foreach (var targetPerson in _targets)
{
_tokenSource.Token.ThrowIfCancellationRequested();
var ts = new FaceSpecification();
ts.EyebrowRatio = targetPerson.EyebrowRatio;
ts.EyebrowShape = targetPerson.EyebrowRatio;
ts.Features = targetPerson.FeaturePoints;
var compareResults = _faceComparer.CmpFace(fs, ts);
if (compareResults > _sensitivity)
{
NotifyListeners(portrait, top);
}
}
}
}
}
}
