private async Task <Emotion[]> UploadAndDetectEmotions(string url)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
string subscriptionKey = window.ScenarioControl.SubscriptionKey;
// -----------------------------------------------------------------------
// Parte 2
// -----------------------------------------------------------------------
window.Log("EmotionServiceClient iniciado");
//
// Crie uma chamada para Project Oxford Emotion API Service client
//
window.Log("Iniciando EmotionServiceClient.RecognizeAsync()...");
try
{
//
// Crie URL para detectar Emotions
//
}
catch (Exception exception)
{
window.Log("Analise falhou. Por favor verifique a sua assinatura ou o log");
window.Log(exception.ToString());
return(null);
}
// -----------------------------------------------------------------------
// Parte 2
// -----------------------------------------------------------------------
}
private async void LoadImageButton_Click(object sender, RoutedEventArgs e)
{
string urlString = URLTextBox.Text;
Uri uri = new Uri(urlString, UriKind.Absolute);
MainWindow window = (MainWindow)Application.Current.MainWindow;
string subscriptionKey = window.ScenarioControl.SubscriptionKey;
window.ScenarioControl.ClearLog();
//
// Load image from URL for information purpose. This is not used in emotion detection
//
var bitmapSource = new BitmapImage();
bitmapSource.BeginInit();
bitmapSource.UriSource = uri;
bitmapSource.EndInit();
_emotionDetectionUserControl.ImageUri = uri;
_emotionDetectionUserControl.Image = bitmapSource;
_detectionStatus.Text = "Detecting...";
Emotion[] emotionResult = await UploadAndDetectEmotions(urlString);
_detectionStatus.Text = "Detection Done";
//
// Log detection result in the log window
//
window.Log("");
window.Log("Detection Result:");
window.LogEmotionResult(emotionResult);
_emotionDetectionUserControl.Emotions = emotionResult;
}
private void LogVideoFragments()
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
window.Log("Emotion recognition results:");
window.Log(Newtonsoft.Json.JsonConvert.SerializeObject(_videoResult));
}
private async Task <Emotion[]> UploadAndDetectEmotions(string imageFilePath)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
string subscriptionKey = window.ScenarioControl.SubscriptionKey;
window.Log("EmotionServiceClient iniciado");
// -----------------------------------------------------------------------
// Parte 3
// -----------------------------------------------------------------------
//
// Crie o cliente service
//
window.Log("Calling EmotionServiceClient.RecognizeAsync()...");
try
{
//Crie Load da imagem
}
catch (Exception exception)
{
window.Log(exception.ToString());
return(null);
}
// -----------------------------------------------------------------------
// Parte 3
// -----------------------------------------------------------------------
}
private async void LoadImageButton_Click(object sender, RoutedEventArgs e)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
Microsoft.Win32.OpenFileDialog openDlg = new Microsoft.Win32.OpenFileDialog();
openDlg.Filter = "JPEG Image(*.jpg)|*.jpg";
bool?result = openDlg.ShowDialog(window);
if (!(bool)result)
{
return;
}
string imageFilePath = openDlg.FileName;
Uri fileUri = new Uri(imageFilePath);
BitmapImage bitmapSource = new BitmapImage();
bitmapSource.BeginInit();
bitmapSource.CacheOption = BitmapCacheOption.None;
bitmapSource.UriSource = fileUri;
bitmapSource.EndInit();
_emotionDetectionUserControl.ImageUri = fileUri;
_emotionDetectionUserControl.Image = bitmapSource;
//
// Enviando a imagem
//
window.ScenarioControl.ClearLog();
_detectionStatus.Text = "Detectando...";
//Crie envio da imagem
_detectionStatus.Text = "Finalizada...";
//
// Log
//
window.Log("");
window.Log("Detection Result:");
window.LogEmotionResult(emotionResult);
_emotionDetectionUserControl.Emotions = emotionResult;
}
private async void LoadImageButton_Click(object sender, RoutedEventArgs e)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
Microsoft.Win32.OpenFileDialog openDlg = new Microsoft.Win32.OpenFileDialog();
openDlg.Filter = "JPEG Image(*.jpg)|*.jpg";
bool?result = openDlg.ShowDialog(window);
if (!(bool)result)
{
return;
}
string imageFilePath = openDlg.FileName;
Uri fileUri = new Uri(imageFilePath);
BitmapImage bitmapSource = new BitmapImage();
bitmapSource.BeginInit();
bitmapSource.CacheOption = BitmapCacheOption.None;
bitmapSource.UriSource = fileUri;
bitmapSource.EndInit();
_emotionDetectionUserControl.ImageUri = fileUri;
_emotionDetectionUserControl.Image = bitmapSource;
//
// Create EmotionServiceClient and detect the emotion with URL
//
window.ScenarioControl.ClearLog();
_detectionStatus.Text = "Detecting...";
Emotion[] emotionResult = await UploadAndDetectEmotions(imageFilePath);
_detectionStatus.Text = "Detection Done";
//
// Log detection result in the log window
//
window.Log("");
window.Log("Detection Result:");
window.LogEmotionResult(emotionResult);
_emotionDetectionUserControl.Emotions = emotionResult;
}
/// <summary>
/// Uploads the image to Project Oxford and detect emotions.
/// </summary>
/// <param name="imageFilePath">The image file path.</param>
/// <returns></returns>
private async Task <Emotion[]> UploadAndDetectEmotions(string imageFilePath)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
string subscriptionKey = window.ScenarioControl.SubscriptionKey;
window.Log("EmotionServiceClient is created");
// -----------------------------------------------------------------------
// KEY SAMPLE CODE STARTS HERE
// -----------------------------------------------------------------------
//
// Create Project Oxford Emotion API Service client
//
EmotionServiceClient emotionServiceClient = new EmotionServiceClient(subscriptionKey);
window.Log("Calling EmotionServiceClient.RecognizeAsync()...");
try
{
Emotion[] emotionResult;
using (Stream imageFileStream = File.OpenRead(imageFilePath))
{
//
// Detect the emotions in the URL
//
emotionResult = await emotionServiceClient.RecognizeAsync(imageFileStream);
return(emotionResult);
}
}
catch (Exception exception)
{
window.Log(exception.ToString());
return(null);
}
// -----------------------------------------------------------------------
// KEY SAMPLE CODE ENDS HERE
// -----------------------------------------------------------------------
}
/// <summary>
/// Uploads the image to Project Oxford and detect emotions.
/// </summary>
/// <param name="imageFilePath">The image file path.</param>
/// <returns></returns>
private async Task <Emotion[]> UploadAndDetectEmotions(string url)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
string subscriptionKey = window.ScenarioControl.SubscriptionKey;
// -----------------------------------------------------------------------
// KEY SAMPLE CODE STARTS HERE
// -----------------------------------------------------------------------
window.Log("EmotionServiceClient is created");
//
// Create Project Oxford Emotion API Service client
//
EmotionServiceClient emotionServiceClient = new EmotionServiceClient(subscriptionKey);
window.Log("Calling EmotionServiceClient.RecognizeAsync()...");
try
{
//
// Detect the emotions in the URL
//
Emotion[] emotionResult = await emotionServiceClient.RecognizeAsync(url);
return(emotionResult);
}
catch (Exception exception)
{
window.Log("Dection failed. Please make sure that you have the right subscription key and proper URL to detect.");
window.Log(exception.ToString());
return(null);
}
// -----------------------------------------------------------------------
// KEY SAMPLE CODE ENDS HERE
// -----------------------------------------------------------------------
}
/// <summary>
/// Uploads the video to Project Oxford and detects emotions.
/// </summary>
/// <param name="videoFilePath">The video file path.</param>
/// <returns></returns>
private async Task <VideoAggregateRecognitionResult> UploadAndDetectEmotions(string videoFilePath)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
string subscriptionKey = window.ScenarioControl.SubscriptionKey;
window.Log("EmotionServiceClient is created");
// -----------------------------------------------------------------------
// KEY SAMPLE CODE STARTS HERE
// -----------------------------------------------------------------------
//
// Create Project Oxford Emotion API Service client
//
EmotionServiceClient emotionServiceClient = new EmotionServiceClient(subscriptionKey);
window.Log("Calling EmotionServiceClient.RecognizeInVideoAsync()...");
try
{
using (Stream videoFileStream = File.OpenRead(videoFilePath))
{
//
// Upload the video, and tell the server to start recognizing emotions
//
window.Log("Start uploading video");
VideoEmotionRecognitionOperation videoOperation = await emotionServiceClient.RecognizeInVideoAsync(videoFileStream);
window.Log("Finished uploading video");
//
// Starts querying service status
//
VideoOperationResult result;
while (true)
{
result = await emotionServiceClient.GetOperationResultAsync(videoOperation);
if (result.Status == VideoOperationStatus.Succeeded || result.Status == VideoOperationStatus.Failed)
{
break;
}
window.Log(string.Format("Server status: {0}, wait {1} seconds...", result.Status, QueryWaitTime.TotalSeconds));
await Task.Delay(QueryWaitTime);
}
window.Log("Finish processing with server status: " + result.Status);
//
// Processing finished, checks result
//
if (result.Status == VideoOperationStatus.Succeeded)
{
//
// Get the processing result by casting to the actual operation result
//
VideoAggregateRecognitionResult aggregateResult = ((VideoOperationInfoResult <VideoAggregateRecognitionResult>)result).ProcessingResult;
return(aggregateResult);
}
else
{
// Failed
window.Log("Fail reason: " + result.Message);
}
return(null);
}
}
catch (Exception exception)
{
window.Log(exception.ToString());
return(null);
}
// -----------------------------------------------------------------------
// KEY SAMPLE CODE ENDS HERE
// -----------------------------------------------------------------------
}
private async void LoadImageButton_Click(object sender, RoutedEventArgs e)
{
MainWindow window = (MainWindow)Application.Current.MainWindow;
Microsoft.Win32.OpenFileDialog openDlg = new Microsoft.Win32.OpenFileDialog();
openDlg.Filter = "JPEG Image(*.jpg)|*.jpg";
bool?result = openDlg.ShowDialog(window);
if (!(bool)result)
{
return;
}
string imageFilePath = openDlg.FileName;
Uri fileUri = new Uri(imageFilePath);
BitmapImage bitmapSource = new BitmapImage();
bitmapSource.BeginInit();
bitmapSource.CacheOption = BitmapCacheOption.None;
bitmapSource.UriSource = fileUri;
bitmapSource.EndInit();
_emotionDetectionUserControl.ImageUri = fileUri;
_emotionDetectionUserControl.Image = bitmapSource;
//
// Create EmotionServiceClient and detect the emotion with URL
//
window.ScenarioControl.ClearLog();
_detectionStatus.Text = "Detecting...";
Emotion[] emotionResult = await UploadAndDetectEmotions(imageFilePath);
_detectionStatus.Text = "Detection Done";
//
// Log detection result in the log window
//
window.Log("");
window.Log("Detection Result:");
window.LogEmotionResult(emotionResult);
_emotionDetectionUserControl.Emotions = emotionResult;
// var success = await System.Windows.Launcher.LaunchUriAsync(uri);
//resultDisplay[0] = new EmotionResultDisplay { EmotionString = "Anger", Score = emotion.Scores.Anger };
//resultDisplay[1] = new EmotionResultDisplay { EmotionString = "Contempt", Score = emotion.Scores.Contempt };
//resultDisplay[2] = new EmotionResultDisplay { EmotionString = "Disgust", Score = emotion.Scores.Disgust };
//resultDisplay[3] = new EmotionResultDisplay { EmotionString = "Fear", Score = emotion.Scores.Fear };
//resultDisplay[4] = new EmotionResultDisplay { EmotionString = "Happiness", Score = emotion.Scores.Happiness };
//resultDisplay[5] = new EmotionResultDisplay { EmotionString = "Neutral", Score = emotion.Scores.Neutral };
//resultDisplay[6] = new EmotionResultDisplay { EmotionString = "Sadness", Score = emotion.Scores.Sadness };
//resultDisplay[7] = new EmotionResultDisplay { EmotionString = "Surprise", Score = emotion.Scores.Surprise };
float fAnger = emotionResult[0].Scores.Anger;
float fSadness = emotionResult[0].Scores.Sadness;
float fHappiness = emotionResult[0].Scores.Happiness;
string sSongURL = "";
if (fAnger > 0.5)
{
// 許如芸 生氣
sSongURL = "kkbox://play_song_849314";
}
if (fSadness > 0.5)
{
// 陳珊妮 如同悲傷被下載了兩次
sSongURL = "kkbox://play_song_77706479";
}
if (fHappiness > 0.5)
{
// Happy Birthday 寶兒 (BoA) 千顏兒語 (THE FACE)
sSongURL = "kkbox://play_song_1601466";
}
// var uri = "C:\\Program Files (x86)\\Mozilla Firefox\\firefox.exe";
var uri = "D:\\Program Files (x86)\\Mozilla Firefox\\firefox.exe";
System.Diagnostics.Process.Start(uri, sSongURL);
}
