public static ColorImage ColorFrameReady(ColorImageFrame colorFrame, GenderClassifier genderClassifier, Rectangle areaOfInterest)
{
ColorImage img = ImageTools.GetColorImage(colorFrame);
List <Rectangle> facesResult = genderClassifier.GetFaces(img, areaOfInterest);
if (facesResult.Count == 0)
{
return(img);
}
ImageTools.OrderRectanglesByArea(ref facesResult);
ImageTools.RemoveInnerRectangles(ref facesResult);
PredictionResult[] predictions;
try {
predictions = genderClassifier.ClassifyByFaces(img, areaOfInterest, facesResult.ToArray());
ExcelRow.instance.ReceiveImpressionsPredictions(predictions);
}
catch {
return(img);
//Para cualquier error ignoramos el frame.
}
for (int i = 0; i < facesResult.Count; i++)
{
Bgr color = genderClassifier.ColorChooser(predictions[i]);
img.Draw(facesResult[i], color, 2);
img.Draw(predictions[i].Distance.ToString(), facesResult[i].Location, FontFace.HersheyDuplex, fontSize, color, fontThickness);
}
return(img);
}
public static ColorImage ColorFrameReady(ColorImageFrame colorFrame, GenderClassifier genderClassifier, Rectangle areaOfInterest, KinectSensor sensor, Joint head)
{
ColorImage img = ImageTools.GetColorImage(colorFrame);
List <Rectangle> facesResult = genderClassifier.GetFaces(img, areaOfInterest);
Rectangle playerFace = genderClassifier.GetFaceByJoint(img, sensor, head);
ImageTools.OrderRectanglesByArea(ref facesResult);
for (int i = 0; i < facesResult.Count; i++)
{
if (playerFace.IntersectsWith(facesResult[i]) || playerFace.Contains(facesResult[i]))
{
facesResult.RemoveAt(i);
}
}
ImageTools.RemoveInnerRectangles(ref facesResult);
PredictionResult[] predictions;
PredictionResult playerPrediction;
try {
predictions = genderClassifier.ClassifyByFaces(img, areaOfInterest, facesResult.ToArray());
playerPrediction = genderClassifier.PredictFace(img, playerFace);
ExcelRow.instance.ReceiveImpressionsPredictions(predictions);
ExcelRow.instance.ReceivePlayerPrediction(playerPrediction);
}
catch {
return(null);
//Para cualquier error ignoramos el frame.
}
Bgr color = genderClassifier.ColorChooser(playerPrediction);
img.Draw(playerFace, color, 5);
img.Draw(playerPrediction.Distance.ToString(), playerFace.Location, FontFace.HersheyDuplex, fontSize, color, fontThickness);
for (int i = 0; i < facesResult.Count; i++)
{
color = genderClassifier.ColorChooser(predictions[i]);
img.Draw(facesResult[i], color, 2);
img.Draw(predictions[i].Distance.ToString(), facesResult[i].Location, FontFace.HersheyDuplex, fontSize, color, fontThickness);
}
return(img);
}
