//for the sake of the example the parameters types are string
public bool CompareEmotion(string randomEmotion)
{
//NN analyse throws an object with EmotionName, percentage and user Recognition.
ReturnObject result = nnUnit.analyse();
//Debug Mode Ausgabe
this.testObj = result;
//check if NNUnit threw an Exception (During Game)
switch (result.FaceDetected)
{
case ReturnObject.Type.NoFaceDetected:
throw new UserMissingException();
case ReturnObject.Type.MoreThanOneFaceDetected:
throw new MoreThanOneUserException();
case ReturnObject.Type.Exception:
throw new UnknownException();
}
//Compare our randomEmotion and the result
if (randomEmotion == result.Emotion)
{
//save points
points += result.Percentage;
//true for SUCCESS
return(true);
}
//false for FAILURE
return(false);
}
public EmotionTableInterpreter(Process neuralNetProcess, ref ReturnObject i_returnObject)
{
neuralNetProcess.Start();
netOutput = neuralNetProcess.StandardOutput.ReadToEnd();
//1. Versuch
netOutput = netOutput.Replace(Environment.NewLine, "");
//2. Versuch
//netOutput = Regex.Replace(netOutput, @"\r\n?|\n", "");
netOutput = netOutput.Replace(@"\n", "");
netOutput = netOutput.Replace(@"\r", "");
netOutput = netOutput.Replace(@"\t", "");
netOutput = netOutput.Replace(@"\v", "");
netOutput = netOutput.Replace("@\f", "");
a_matchCollection = Regex.Matches(netOutput, patternFaceFoundCount);
if (a_matchCollection.Count > 0)
{
foreach (Match singlePic in a_matchCollection)
{
if (Convert.ToInt64(singlePic.Groups[FACES_FOUND_COUNT].Value) > 1)
{
severalFacesFound = true;
break;
}
if (Convert.ToInt64(singlePic.Groups[FACES_FOUND_COUNT].Value) == 0)
{
noFacesFound = true;
noFaceFoundCnt++;
}
}
}
if (!severalFacesFound)
{
if (a_matchCollection.Count > noFaceFoundCnt)
{
a_matchCollection = Regex.Matches(netOutput, patternArray);
if (a_matchCollection.Count > 0)
{
foreach (Match singlePic in a_matchCollection)
{
Evaluate(singlePic.Groups[SINGLE_PIC_OUTPUT].Value);
}
}
KeyValuePair <string, EmoCollValue> resultEmo = GetEmotion();
i_returnObject = new ReturnObject(resultEmo.Key, resultEmo.Value.finalPercentage, ReturnObject.Type.FaceDetected);
}
else if (/*noFacesFound &&*/ a_matchCollection.Count <= noFaceFoundCnt)
{
i_returnObject = new ReturnObject(NO_EMO_DETECED, 0, ReturnObject.Type.NoFaceDetected);
}
}
else if (severalFacesFound)
{
i_returnObject = new ReturnObject(NO_EMO_DETECED, 0, ReturnObject.Type.MoreThanOneFaceDetected);
}
}
//check if user Exist to Start Game
public ReturnObject TryToRecognizeUser()
{
this.testObj = nnUnit.CheckUserExist();
return(this.testObj);
}
