private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
visImage = Visualization.DrawFaces(visImage, result.Faces, result.EmotionScores, result.CelebrityNames);
visImage = Visualization.DrawTags(visImage, result.Tags);
}
return(visImage);
}
private BitmapSource VisualizeEndRound(VideoFrame frame)
{
var bitmap = VisualizeRound(frame);
string s = "Round Score:\n";
return(Visualization.DrawRoundEnd(bitmap, scoringSystem.CurrentRoundScore, playerImages, scoringSystem.TotalScore));
}
private BitmapSource VisualizeEndGame(VideoFrame frame)
{
var bitmap = VisualizeRound(frame);
//Dictionary<Guid,int> winners = scoringSystem.GameWinner();
return(Visualization.DrawGameEnd(bitmap, scoringSystem.TotalScore, playerImages, groupImages));
}
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
if (result.IdentifyResults != null && result.IdentifyResults.Length > 0)
{
for (int idx = 0; idx < result.IdentifyResults.Length; idx++)
{
// Update identification result for rendering
var face = result.Faces[idx];
var res = result.IdentifyResults[idx];
result.PersonNames = new string[result.IdentifyResults.Length];
if (res.Candidates.Length > 0 && Persons.Any(p => p.PersonId == res.Candidates[0].PersonId.ToString()))
{
if (result.Faces[idx].FaceId == result.IdentifyResults[idx].FaceId)
{
result.PersonNames[idx] = Persons.Where(p => p.PersonId == res.Candidates[0].PersonId.ToString()).First().PersonName;
visImage = Visualization.DrawFaces(visImage, result.Faces, result.PersonNames);
}
else
{
result.PersonNames[idx] = "Unknown";
visImage = Visualization.DrawFaces(visImage, result.Faces, result.PersonNames);
}
}
else
{
result.PersonNames[idx] = "Unknown";
visImage = Visualization.DrawFaces(visImage, result.Faces, result.PersonNames);
}
}
}
//DB Operation
if (result.PersonNames != null)
{
DB_Operation(result.PersonNames);
}
}
return(visImage);
}
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
LiveCameraResult result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
if (this.gameState == GameState.Explain)
{
this.Dispatcher.BeginInvoke((Action)(() =>
{
RightImage.Source = ImageProvider.Instructions;
//visImage = Visualization.DrawExplain(visImage);
}));
}
else if (this.gameState == GameState.RoundBegin)
{
visImage = VisualizeStartRound(frame);
}
else if (this.gameState == GameState.RoundEnd)
{
visImage = VisualizeEndRound(frame);
}
else if (this.gameState == GameState.Game)
{
// Compute round score
Dictionary <Guid, int> scores = round.ComputeFrameScorePerPlayer(result);
scoringSystem.AddToCurrentRound(scores);
visImage = Visualization.DrawFaces(visImage, round, result.Identities, scoringSystem, _mode);
SavePlayerImages(frame.Image.ToBitmapSource(), result);
}
else if (this.gameState == GameState.Participants)
{
visImage = Visualization.DrawParticipants(visImage, result.Faces);
}
else if (this.gameState == GameState.GameEnd)
{
_grabber.StopProcessingAsync();
visImage = VisualizeEndGame(frame);
}
}
return(visImage);
}
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
visImage = Visualization.DrawFaces(visImage, result.Faces, result.EmotionScores, result.CelebrityNames);
IDictionary <string, string> tagCollection = new Dictionary <string, string>();
StandardsFinder standardsFinder = new StandardsFinder();
if (result.Tags != null && result.Tags.Count() > 0)
{
foreach (var tag in result.Tags)
{
var standardName = standardsFinder.GetStandards(tag.Name);
//tagCollection.Add(tag.Name,standardName);
tag.Name = tag.Name + " - " + standardName;
}
}
visImage = Visualization.DrawTags(visImage, result.Tags);
}
return(visImage);
}
/// <summary> Function which submits a frame to the Computer Vision API for celebrity
/// detection. </summary>
/// <param name="frame"> The video frame to submit. </param>
/// <returns> A <see cref="Task{LiveCameraResult}"/> representing the asynchronous API call,
/// and containing the celebrities returned by the API. </returns>
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
var returnVal = Visualization.DrawFaces(visImage, result.Faces, result.EmotionScores, result.CelebrityNames, this);
visImage = returnVal.Item1;
// if (returnVal.Item2 != "" || returnVal.Item3 != "")
// {
//returnString,
//returnCode,
//customerAge,
//customerGender,
//customerEmotion
RESTPost(returnVal.Item2, returnVal.Item3, returnVal.Item4, returnVal.Item5, returnVal.Item6, returnVal.Item7);
// }
}
return(visImage);
}
private BitmapSource RenderFrame(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
List <Player> players = _gameService.Players;
if (players != null)
{
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
//if (clientFaces != null && players.Count > 0)
//{
// // If so, then the analysis results might be from an older frame. We need to match
// // the client-side face detections (computed on this frame) with the analysis
// // results (computed on the older frame) that we want to display.
// _gameService.ProcessLocalFaces(clientFaces);
//}
visImage = Visualization.DrawPlayers(visImage, players, _gameService.State);
//visImage = Visualization.DrawScore(visImage, _gameService.Score);
switch (_gameService.State)
{
case GameStateEnum.Started:
visImage = Visualization.DrawTime(visImage, _gameService.TimeElapsed);
break;
case GameStateEnum.Finished:
visImage = Visualization.DrawResults(visImage, players);
break;
default:
break;
}
}
return(visImage);
}
private BitmapSource VisualizeStartRound(VideoFrame frame)
{
var bitmap = VisualizeRound(frame);
return(Visualization.DrawRoundStart(bitmap, round, roundNumber));
}
private ImageSource VisualizeTimer(bool drawIndicator)
{
// Draw any results on top of the image.
return(Visualization.DrawTime(timerText, drawIndicator, round));
}
internal static void ShowAd(String hybrisResponse, System.Windows.Controls.Image rightImage)
{
//Hackathon: show the ad in the user interface.
Visualization.DrawAds(rightImage, new BitmapImage(new Uri(hybrisResponse)));
}
public MainWindow()
{
InitializeComponent();
Properties.Settings.Default.UploadStatus = "";
// Create grabber.
_grabber = new FrameGrabber <LiveCameraResult>();
// Set up a listener for when the client receives a new frame.
_grabber.NewFrameProvided += (s, e) =>
{
if (_mode == AppMode.EmotionsWithClientFaceDetect)
{
// Local face detection.
var rects = _localFaceDetector.DetectMultiScale(e.Frame.Image);
// Attach faces to frame.
e.Frame.UserData = rects;
}
// The callback may occur on a different thread, so we must use the
// MainWindow.Dispatcher when manipulating the UI.
this.Dispatcher.BeginInvoke((Action)(() =>
{
// Display the image in the left pane.
LeftImage.Source = e.Frame.Image.ToBitmapSource();
// If we're fusing client-side face detection with remote analysis, show the
// new frame now with the most recent analysis available.
if (_fuseClientRemoteResults)
{
RightImage.Source = VisualizeResult(e.Frame);
}
if (_mode == AppMode.AtosEmployees)
{
var result = _latestResultsToDisplay;
if (result != null)
{
Visualization.SummarizeAllAttributes(DetailsArea, result.Faces, result.CelebrityNames, result.Tags, result.EmotionScores);
}
}
else
{
DetailsArea.Text = "";
}
}));
// See if auto-stop should be triggered.
if (Properties.Settings.Default.AutoStopEnabled && (DateTime.Now - _startTime) > Properties.Settings.Default.AutoStopTime)
{
_grabber.StopProcessingAsync();
}
};
// Set up a listener for when the client receives a new result from an API call.
_grabber.NewResultAvailable += (s, e) =>
{
this.Dispatcher.BeginInvoke((Action)(() =>
{
if (e.TimedOut)
{
MessageArea.Text = "API call timed out.";
}
else if (e.Exception != null)
{
string apiName = "";
string message = e.Exception.Message;
var faceEx = e.Exception as FaceAPI.FaceAPIException;
var emotionEx = e.Exception as Common.ClientException;
var visionEx = e.Exception as VisionAPI.ClientException;
if (faceEx != null)
{
apiName = "Face";
message = faceEx.ErrorMessage;
}
else if (emotionEx != null)
{
apiName = "Emotion";
message = emotionEx.Error.Message;
}
else if (visionEx != null)
{
apiName = "Computer Vision";
message = visionEx.Error.Message;
}
MessageArea.Text = string.Format("{0} API call failed on frame {1}. Exception: {2}", apiName, e.Frame.Metadata.Index, message);
}
else
{
_latestResultsToDisplay = e.Analysis;
// Display the image and visualization in the right pane.
if (!_fuseClientRemoteResults)
{
RightImage.Source = VisualizeResult(e.Frame);
}
}
}));
};
// Create local face detector.
_localFaceDetector.Load("Data/haarcascade_frontalface_alt2.xml");
}