public List <int> AcceptedWindows(Image <Gray, byte> frame, List <int> scanningWindows)
{
Stopwatch variance = new Stopwatch();
variance.Start();
List <int> varianceWindows = _varianceClassifier.AcceptedWindows(frame, scanningWindows);
variance.Stop();
Stopwatch ensemble = new Stopwatch();
ensemble.Start();
List <int> ensembleWindows = _ensembleClassifier.AcceptedWindows(frame, varianceWindows);
ensemble.Stop();
Stopwatch nn = new Stopwatch();
nn.Start();
List <int> nnWindows = _nnClassifier.AcceptedWindows(frame, ensembleWindows);
nn.Stop();
return(nnWindows);
}
public List <IBoundingBox> FindObject(Image <Gray, byte> frame)
{
List <int> acceptedWindows = _cascadedClassifier.AcceptedWindows(frame, _scanningWindows);
if (acceptedWindows.Count == 0)
{
_detections.Clear();
return(null);
}
int detectionsCount = acceptedWindows.Count;
_detections = new List <IBoundingBox>(detectionsCount);
for (int i = 0; i < detectionsCount; i++)
{
int index = acceptedWindows[i];
_detections.Add(_scanningWindowGenerator.ScanningWindows[index]);
}
//_detections = _suppressBoundingBoxes(_scanningWindows);
return(_detections);
}
