private void SaveToDB(RecognitionResult.Face face)
{
callcount++;
try
{
MemoryStream saveStream = new MemoryStream();
face.GrayFace.Save(saveStream, ImageFormat.Bmp);
//cnn.Open();
using (
MySqlCommand cmd =
new MySqlCommand("INSERT INTO user VALUES(" +
"@Uid, @Name, @Phone_number, @FaceFront, @Restriction_type)", cnn))
{
cmd.Parameters.AddWithValue("@Uid", Guid.NewGuid());
cmd.Parameters.AddWithValue("@Name", this.NameField.Text);
cmd.Parameters.AddWithValue("@Phone_number", "222");
cmd.Parameters.AddWithValue("@FaceFront", saveStream.ToArray());
//cmd.Parameters.AddWithValue("@ColorImage", saveStream.ToArray());
cmd.Parameters.AddWithValue("@Restriction_type", 2);
int rows = cmd.ExecuteNonQuery();
}
}
catch (Exception ex)
{
MessageBox.Show("Counter = " + callcount);
MessageBox.Show(string.Format("Failed to save to DB! {0}", ex.Message));
}
}
/// <summary>
/// Handles recognition complete events
/// </summary>
private void Engine_RecognitionComplete(object sender, RecognitionResult e)
{
RecognitionResult.Face face = null;
if (e.Faces != null)
{
face = e.Faces.FirstOrDefault();
}
if (face != null)
{
if (!string.IsNullOrEmpty(face.Key))
{
// Write the key on the image...
using (var g = Graphics.FromImage(e.ProcessedBitmap))
{
var rect = face.TrackingResults.FaceRect;
g.DrawString(face.Key, new Font("Arial", 20), Brushes.Pink, new System.Drawing.Point(rect.Left, rect.Top - 25));
}
}
if (this.takeTrainingImage)
{
this.targetFaces.Add(new BitmapSourceTargetFace
{
Image = (Bitmap)face.GrayFace.Clone(),
Key = this.NameField.Text
});
using (System.IO.StreamWriter file = new System.IO.StreamWriter(@"FaceDB\FaceKeys.txt", true))
{
file.Write(this.NameField.Text + ",");
}
face.GrayFace.Save(@"FaceDB/" + this.NameField.Text + ".bmp");
this.takeTrainingImage = false;
this.NameField.Text = this.NameField.Text.Replace(this.targetFaces.Count.ToString(), (this.targetFaces.Count + 1).ToString());
if (this.targetFaces.Count > 1)
{
this.engine.SetTargetFaces(this.targetFaces);
}
}
}
this.Video.Source = LoadBitmap(e.ProcessedBitmap);
}
/// <summary>
/// Handles recognition complete events
/// </summary>
private void Engine_RecognitionComplete(object sender, RecognitionResult e)
{
RecognitionResult.Face face = null;
if (AlertAVI.SaveVideo && AlertAVI.SaveEnabled)
{
AlertAVI.BuildArray(e.OriginalBitmap);
}
else if (!AlertAVI.SaveVideo && !AlertAVI.SaveEnabled)
{
ArmButton.Background = System.Windows.Media.Brushes.Blue;
}
if (AlertAVI.SaveVideo && !AlertAVI.SaveEnabled)
{
AlertAVI.SaveVideo = false; //User wasnt ready, must reset
}
if (e.Faces == null) //if Faces is null, face is lost, reset timer
{
MaxUnknownFaceTime = 5;
LastKnownKey = "";
}
if (e.Faces != null)
{
face = e.Faces.FirstOrDefault();
}
if (face != null)
{
if (!string.IsNullOrEmpty(face.Key))
{
if (FaceTimer.IsEnabled)
{
FaceTimer.Stop();
}
MaxUnknownFaceTime = 5;
// Write the key on the image...
using (var g = Graphics.FromImage(e.ProcessedBitmap))
{
var rect = face.TrackingResults.FaceRect;
g.DrawString(face.Key, new Font("Arial", 30), Brushes.Red, new System.Drawing.Point(rect.Left, rect.Top - 25));
LastKnownKey = face.Key;
}
}
if (string.IsNullOrEmpty(face.Key))
{
if (!FaceTimer.IsEnabled)
{
FaceTimer.Start();
}
using (var g = Graphics.FromImage(e.ProcessedBitmap))
{
var rect = face.TrackingResults.FaceRect;
g.DrawString(LastKnownKey + " " + MaxUnknownFaceTime.ToString(), new Font("Arial", 30), Brushes.Red, new System.Drawing.Point(rect.Left, rect.Top - 25));
}
}
if (this.takeTrainingImage)
{
MaxUnknownFaceTime = 5;
this.takeTrainingImage = false;
this.targetFaces.Add(new BitmapSourceTargetFace
{
Image = (Bitmap)face.GrayFace.Clone(),
Key = this.NameField.Text
});
using (MemoryStream stream = new MemoryStream())
{
face.GrayFace.Save(stream, ImageFormat.Png);
result = stream.ToArray();
}
SaveToDB(face);
this.NameField.Text = this.NameField.Text.Replace(this.targetFaces.Count.ToString(), (this.targetFaces.Count + 1).ToString());
if (this.targetFaces.Count > 1)
{
this.engine.SetTargetFaces(this.targetFaces);
}
}
}
this.Video.Source = LoadBitmap(e.ProcessedBitmap);
}
public async Task <RecognitionResult.Face[]> DetectEmotions(FaceCropResult.Face[] faces)
{
AnnotationRequest request = new AnnotationRequest();
request.Requests = new AnnotationRequest.AnnotateImageRequest[faces.Length];
for (int i = 0; i < faces.Length; i++)
{
FaceCropResult.Face face = faces[i];
var r = new AnnotationRequest.AnnotateImageRequest
{
ImageData = new AnnotationRequest.AnnotateImageRequest.Image
{
Content = face.ImageBase64
},
Features = new AnnotationRequest.AnnotateImageRequest.Feature[]
{
new AnnotationRequest.AnnotateImageRequest.Feature
{
Type = "FACE_DETECTION",
MaxResults = 5
}
}
};
request.Requests[i] = r;
}
try
{
HttpClient client = new HttpClient();
HttpContent content = new StringContent(JsonConvert.SerializeObject(request));
var httpResponse = await client.PostAsync("https://vision.googleapis.com/v1/images:annotate?key=" + _apiKey, content);
string responseData = await httpResponse.Content.ReadAsStringAsync();
if (httpResponse.IsSuccessStatusCode)
{
AnnotationResponse response = JsonConvert.DeserializeObject <AnnotationResponse>(responseData);
List <RecognitionResult.Face> faceResults = new List <RecognitionResult.Face>();
for (int i = 0; i < response.Responses.Length && i < faces.Length; i++)
{
AnnotationResponse.AnnotateImageResponse.FaceAnnotations faceAnnotations = response.Responses[i].FaceAnnotationData[0];
RecognitionResult.Face faceResult = new RecognitionResult.Face
{
Emotion = new RecognitionResult.Emotion
{
Anger = FromLikelyhood(faceAnnotations.Anger),
Happiness = FromLikelyhood(faceAnnotations.Joy),
Neutral = 0.0,
Sadness = FromLikelyhood(faceAnnotations.Sorrow),
Surprise = FromLikelyhood(faceAnnotations.Surprise)
}
};
faceResults.Add(faceResult);
}
return(faceResults.ToArray());
}
}
catch (Exception ex)
{
// TODO?
}
return(null);
}
