public static async Task <List <Emotion> > GetEmotionResultsFromMediaFile(MediaFile mediaFile, bool disposeMediaFile)
{
using (var handle = AnalyticsHelpers.TrackTime(AnalyticsConstants.AnalyzeEmotion))
{
var faceApiResponseList = await FaceApiClient.Face.DetectWithStreamAsync(MediaService.GetPhotoStream(mediaFile, disposeMediaFile),
returnFaceAttributes : new List <FaceAttributeType> {
{ FaceAttributeType.Emotion }
}).ConfigureAwait(false);
return(faceApiResponseList.Select(x => x.FaceAttributes.Emotion).ToList());
}
}
public static async Task <Emotion[]> GetEmotionResultsFromMediaFile(MediaFile mediaFile, bool disposeMediaFile)
{
Device.BeginInvokeOnMainThread(() => Application.Current.MainPage.IsBusy = true);
try
{
using (var handle = AnalyticsHelpers.TrackTime(AnalyticsConstants.AnalyzeEmotion))
return(await EmotionClient.RecognizeAsync(MediaService.GetPhotoStream(mediaFile, disposeMediaFile)));
}
finally
{
Device.BeginInvokeOnMainThread(() => Application.Current.MainPage.IsBusy = false);
}
}
void StartGame()
{
var isPlayer1EntryTextEmpty = string.IsNullOrWhiteSpace(_player1Entry.Text);
var isPlayer2EntryTextEmpty = string.IsNullOrWhiteSpace(_player2Entry.Text);
if (isPlayer1EntryTextEmpty)
{
AnalyticsHelpers.Track(AnalyticsConstants.StartGameButtonTapped, AnalyticsConstants.StartGameButtonTappedStatus, AnalyticsConstants.Player1NameEmpty);
DisplayEmptyPlayerNameAlert(1);
}
else if (isPlayer2EntryTextEmpty)
{
AnalyticsHelpers.Track(AnalyticsConstants.StartGameButtonTapped, AnalyticsConstants.StartGameButtonTappedStatus, AnalyticsConstants.Player2NameEmpty);
DisplayEmptyPlayerNameAlert(2);
}
else
{
AnalyticsHelpers.Track(AnalyticsConstants.StartGameButtonTapped, AnalyticsConstants.StartGameButtonTappedStatus, AnalyticsConstants.GameStarted);
Device.BeginInvokeOnMainThread(async() => await Navigation.PushAsync(new FaceOffPage()));
}
}
public static async Task <List <Emotion> > GetEmotionResultsFromMediaFile(MediaFile mediaFile, bool disposeMediaFile)
{
Device.BeginInvokeOnMainThread(() => Application.Current.MainPage.IsBusy = true);
try
{
using (var handle = AnalyticsHelpers.TrackTime(AnalyticsConstants.AnalyzeEmotion))
{
var faceApiResponseList = await FaceApiClient.Face.DetectWithStreamAsync(MediaService.GetPhotoStream(mediaFile, disposeMediaFile),
returnFaceAttributes : new List <FaceAttributeType> {
{ FaceAttributeType.Emotion }
}).ConfigureAwait(false);
return(faceApiResponseList.Select(x => x.FaceAttributes.Emotion).ToList());
}
}
finally
{
Device.BeginInvokeOnMainThread(() => Application.Current.MainPage.IsBusy = false);
}
}
public void Dispose()
{
_stopwatch.Stop();
Data.Add("Timed Event", $"{_stopwatch.Elapsed.ToString(@"ss\.fff")}s");
AnalyticsHelpers.Track($"{_trackIdentifier} [Timed Event]", Data);
}
public static string GetPhotoEmotionScore(List <Emotion> emotionResults, int emotionResultNumber, EmotionType currentEmotionType)
{
double rawEmotionScore;
var isInternetConnectionAvilable = Connectivity.NetworkAccess.Equals(NetworkAccess.Internet);
if (!isInternetConnectionAvilable)
{
return(ErrorMessageDictionary[ErrorMessageType.ConnectionToCognitiveServicesFailed]);
}
if (emotionResults == null || emotionResults.Count < 1)
{
return(ErrorMessageDictionary[ErrorMessageType.NoFaceDetected]);
}
if (emotionResults.Count > 1)
{
OnMultipleFacesDetectedAlertTriggered();
return(ErrorMessageDictionary[ErrorMessageType.MultipleFacesDetected]);
}
try
{
switch (currentEmotionType)
{
case EmotionType.Anger:
rawEmotionScore = emotionResults[emotionResultNumber].Anger;
break;
case EmotionType.Contempt:
rawEmotionScore = emotionResults[emotionResultNumber].Contempt;
break;
case EmotionType.Disgust:
rawEmotionScore = emotionResults[emotionResultNumber].Disgust;
break;
case EmotionType.Fear:
rawEmotionScore = emotionResults[emotionResultNumber].Fear;
break;
case EmotionType.Happiness:
rawEmotionScore = emotionResults[emotionResultNumber].Happiness;
break;
case EmotionType.Neutral:
rawEmotionScore = emotionResults[emotionResultNumber].Neutral;
break;
case EmotionType.Sadness:
rawEmotionScore = emotionResults[emotionResultNumber].Sadness;
break;
case EmotionType.Surprise:
rawEmotionScore = emotionResults[emotionResultNumber].Surprise;
break;
default:
return(ErrorMessageDictionary[ErrorMessageType.GenericError]);
}
var emotionScoreAsPercentage = ConversionService.ConvertDoubleToPercentage(rawEmotionScore);
return(emotionScoreAsPercentage);
}
catch (Exception e)
{
AnalyticsHelpers.Report(e);
return(ErrorMessageDictionary[ErrorMessageType.GenericError]);
}
}
public static async Task <string> GetPhotoEmotionScore(Emotion[] emotionResults, int emotionResultNumber, EmotionType currentEmotionType)
{
float rawEmotionScore;
var isInternetConnectionAvilable = await ConnectionService.IsInternetConnectionAvailable().ConfigureAwait(false);
if (!isInternetConnectionAvilable)
{
return(ErrorMessageDictionary[ErrorMessageType.ConnectionToCognitiveServicesFailed]);
}
if (emotionResults == null || emotionResults.Length < 1)
{
return(ErrorMessageDictionary[ErrorMessageType.NoFaceDetected]);
}
if (emotionResults.Length > 1)
{
OnMultipleFacesDetectedAlertTriggered();
return(ErrorMessageDictionary[ErrorMessageType.MultipleFacesDetected]);
}
try
{
switch (currentEmotionType)
{
case EmotionType.Anger:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Anger;
break;
case EmotionType.Contempt:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Contempt;
break;
case EmotionType.Disgust:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Disgust;
break;
case EmotionType.Fear:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Fear;
break;
case EmotionType.Happiness:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Happiness;
break;
case EmotionType.Neutral:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Neutral;
break;
case EmotionType.Sadness:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Sadness;
break;
case EmotionType.Surprise:
rawEmotionScore = emotionResults[emotionResultNumber].Scores.Surprise;
break;
default:
return(ErrorMessageDictionary[ErrorMessageType.GenericError]);
}
var emotionScoreAsPercentage = ConversionService.ConvertFloatToPercentage(rawEmotionScore);
return(emotionScoreAsPercentage);
}
catch (Exception e)
{
AnalyticsHelpers.Report(e);
return(ErrorMessageDictionary[ErrorMessageType.GenericError]);
}
}
protected override void OnStart()
{
base.OnStart();
AnalyticsHelpers.Start();
}
