private static Face CalculateFaceRectangleForRendering(Face face, int maxSize, Tuple<int, int> imageInfo)
{
var imageWidth = imageInfo.Item1;
var imageHeight = imageInfo.Item2;
var newWidth = maxSize;
var newHeight = maxSize * imageHeight / imageWidth;
face.RectLeft = newWidth * face.Left / imageWidth; ;
face.RectTop = newHeight * face.Top / imageHeight; ;
face.RectHeight = newHeight * face.Height / imageHeight;
face.RectWidth = newWidth*face.Width/ imageWidth;
return face;
}
public async Task<ObservableCollection<Face>> StartFaceDetection(string selectedFile, StorageFile file, Tuple<int, int> imageInfo, string subscriptionKey)
{
var detectedFaces = new ObservableCollection<Face>();
Debug.WriteLine("Request: Detecting {0}", selectedFile);
var sampleFile = await StorageFile.GetFileFromPathAsync(selectedFile);
var fs = await FileIO.ReadBufferAsync(sampleFile);
using (var stream = fs.AsStream())
{
try
{
var client = new FaceServiceClient(subscriptionKey);
var faces = await client.DetectAsync(stream, true, true, true);
Debug.WriteLine("Response: Success. Detected {0} face(s) in {1}", faces.Length, selectedFile);
Debug.WriteLine("{0} face(s) has been detected", faces.Length);
foreach (var face in faces)
{
var fileFaceImage = await FileHelper.SaveFaceImageFile(file, face);
var newFace = new Face
{
ImagePath = selectedFile,
Left = face.FaceRectangle.Left,
Top = face.FaceRectangle.Top,
Width = face.FaceRectangle.Width,
Height = face.FaceRectangle.Height,
FaceId = face.FaceId.ToString(),
Gender = face.Attributes.Gender,
Age = face.Attributes.Age,
AgeComplete = string.Format("{0:#} years old", face.Attributes.Age),
ImageFacePath = fileFaceImage.Path
};
// calculate rect image
newFace = CalculateFaceRectangleForRendering(newFace, MaxImageSize, imageInfo);
detectedFaces.Add(newFace);
}
}
catch (Exception ex)
{
Debug.WriteLine(ex.ToString());
}
}
return detectedFaces;
}
