private int RectDist(FaceRectangle rectID, Microsoft.ProjectOxford.Common.Rectangle rectE)
{
int xcID = Convert.ToInt32(Math.Round(Convert.ToDecimal(rectID.Left + rectID.Width / 2)));
int ycID = Convert.ToInt32(Math.Round(Convert.ToDecimal(rectID.Top + rectID.Height / 2)));
int xcE = Convert.ToInt32(Math.Round(Convert.ToDecimal(rectE.Left + rectE.Width / 2)));
int ycE = Convert.ToInt32(Math.Round(Convert.ToDecimal(rectE.Top + rectE.Height / 2)));
int dx = xcID - xcE;
int dy = ycID - ycE;
int dist = dx ^ 2 + dy ^ 2;
return(dist);
}
private async Task <Scores> EstimateEmotions(String imageFilePath, FaceRectangle rectID)
{
try
{
StorageFolder storageFolder = await StorageFolder.GetFolderFromPathAsync(System.IO.Path.GetDirectoryName(imageFilePath));
StorageFile sampleFile = await storageFolder.GetFileAsync(System.IO.Path.GetFileName(imageFilePath));
var inputStream = await sampleFile.OpenReadAsync();
Stream stream = inputStream.AsStreamForRead();
var emo_rec = await emoClient.RecognizeAsync(stream);
if (emo_rec != null && emo_rec.Length > 0)
{
List <Microsoft.ProjectOxford.Common.Rectangle> emoRects = new List <Microsoft.ProjectOxford.Common.Rectangle>();
for (int p = 0; p < emo_rec.Length; p++)
{
emoRects.Add(emo_rec[p].FaceRectangle);
}
int matchIndex = GetMatchingIndex(rectID, emoRects);
return(emo_rec[matchIndex].Scores);
}
else
{
}
}
catch (Exception e)
{
Debug.WriteLine(e.InnerException, e.StackTrace);
}
return(null);
}
//Start the process
private async void button_Click(object sender, RoutedEventArgs e)
{
FolderPicker folderPicker = new FolderPicker();
folderPicker.FileTypeFilter.Add(".jpg");
folderPicker.FileTypeFilter.Add(".jpeg");
folderPicker.FileTypeFilter.Add(".png");
folderPicker.FileTypeFilter.Add(".bmp");
folderPicker.ViewMode = PickerViewMode.Thumbnail;
StorageFolder photoFolder = await folderPicker.PickSingleFolderAsync();
if (photoFolder == null)
{
return;
}
var files = await photoFolder.GetFilesAsync();
List <Scores> E = new List <Scores>();
int[] num = new int[files.Count];
for (int i = 0; i < files.Count; i++)
{
IRandomAccessStream fileStream = await files[i].OpenAsync(FileAccessMode.Read);
BitmapDecoder decoder = await BitmapDecoder.CreateAsync(fileStream);
BitmapTransform transform = new BitmapTransform();
const float sourceImageHeightLimit = 1280;
if (decoder.PixelHeight > sourceImageHeightLimit)
{
float scalingFactor = (float)sourceImageHeightLimit / (float)decoder.PixelHeight;
transform.ScaledWidth = (uint)Math.Floor(decoder.PixelWidth * scalingFactor);
transform.ScaledHeight = (uint)Math.Floor(decoder.PixelHeight * scalingFactor);
}
SoftwareBitmap sourceBitmap = await decoder.GetSoftwareBitmapAsync(decoder.BitmapPixelFormat, BitmapAlphaMode.Premultiplied, transform, ExifOrientationMode.IgnoreExifOrientation, ColorManagementMode.DoNotColorManage);
const BitmapPixelFormat faceDetectionPixelFormat = BitmapPixelFormat.Gray8;
SoftwareBitmap convertedBitmap;
if (sourceBitmap.BitmapPixelFormat != faceDetectionPixelFormat)
{
convertedBitmap = SoftwareBitmap.Convert(sourceBitmap, faceDetectionPixelFormat);
}
else
{
convertedBitmap = sourceBitmap;
}
if (faceDetector == null)
{
faceDetector = await FaceDetector.CreateAsync();
}
detectedFaces = await faceDetector.DetectFacesAsync(convertedBitmap);
Scores sc = null;
if (detectedFaces.Count > 0)
{
num[i] = detectedFaces.Count;
FaceRectangle rectID = new FaceRectangle();
rectID = await UploadAndDetectFaces(files[i].Path);
if (rectID != null)
{
sc = await EstimateEmotions(files[i].Path, rectID);
}
}
E.Add(sc);
if (sc != null)
{
Items.Add(new DataItem(i.ToString(), (int)(sc.Happiness * 100)));
}
sourceBitmap.Dispose();
fileStream.Dispose();
convertedBitmap.Dispose();
}
}
