private RecognitionResult RecognizeEmotions(FaceCropResult faces)
{
RecognitionResult result = new RecognitionResult();
result.CaptureTime = faces.CaptureTime;
result.Tag = faces.Tag;
try
{
result.Faces = _emotionApi.DetectEmotions(faces.Faces).GetAwaiter().GetResult();
}
catch (Exception ex)
{
Debug.WriteLine(ex);
}
return(result);
}
private FaceCropResult DetectFaces(ImageCapture capture)
{
Rect[] rects = _classifier.DetectMultiScale(capture.image, 1.08, 2, HaarDetectionType.ScaleImage, new Size(30, 30));
FaceCropResult faces = new FaceCropResult
{
CaptureTime = capture.captureTime,
Faces = new FaceCropResult.Face[rects.Length]
};
for (int i = 0; i < rects.Length; i++)
{
// Increase the size of the image with 25%.
rects[i].Inflate((int)(rects[i].Width * 0.25), (int)(rects[i].Height * 0.25));
FaceCropResult.Face face = new FaceCropResult.Face();
face.Id = i.ToString();
face.ImageBase64 = Convert.ToBase64String(capture.image.SubMat(rects[i]).ToBytes(".jpg"));
faces.Faces[i] = face;
}
return(faces);
}
