/// <summary>
/// Sending the picture synchrone to the Azure FaceAPI and parse the response into the FaceModel
/// </summary>
/// <param name="imageStream"></param>
/// <returns>multiple FaceModels (one for each face)</returns>
private FaceModel[] SendPictureForAnalyseSync(MemoryStream imageStream)
{
HttpResponseMessage response = BuildClient().PostAsync(BuildUri(), buildContent(imageStream)).GetAwaiter().GetResult();
string responseString = response.Content.ReadAsStringAsync().GetAwaiter().GetResult();
FaceModel[] result = null;
result = FaceModel.FromJson(responseString);
return(result);
}
/// <summary>
/// Extracts the output text from one given FaceModel and outputs the most 3 emotions and the age
/// </summary>
/// <param name="fm"></param>
/// <returns></returns>
private string ExtractFacemodelText(FaceModel fm)
{
Emotion emotion = fm.FaceAttributes.Emotion;
List <EmotionElement> emotions = new List <EmotionElement>();
emotions.Add(new EmotionElement("Anger", emotion.Anger));
emotions.Add(new EmotionElement("Contemp", emotion.Contempt));
emotions.Add(new EmotionElement("Disgust", emotion.Disgust));
emotions.Add(new EmotionElement("Fear", emotion.Fear));
emotions.Add(new EmotionElement("Happiness", emotion.Happiness));
emotions.Add(new EmotionElement("Neutral", emotion.Neutral));
emotions.Add(new EmotionElement("Sadness", emotion.Sadness));
emotions.Add(new EmotionElement("Surprise", emotion.Surprise));
emotions.Sort(delegate(EmotionElement a, EmotionElement b)
{
if (a.EmotionValue < b.EmotionValue)
{
return(1);
}
if (a.EmotionValue > b.EmotionValue)
{
return(-1);
}
return(0);
});
string result = $"Age: {fm.FaceAttributes.Age}\n";
for (int i = 0; i <= 2; i++)
{
if (emotions[i].EmotionValue >= 0.1)
{
result += $"{emotions[i].EmotionName}: {emotions[i].EmotionValue}\n";
}
}
return(result);
}
void PostAsyncCallback(HttpResponseMessage response)
{
string responseString = response.Content.ReadAsStringAsync().GetAwaiter().GetResult();
faceResults = FaceModel.FromJson(responseString);
}
