public override bool stopRecording()
{
AffCamFacRec = ManuelWindow.getAffData();
ManuelWindow.Close();
return(true);
}
public ManuelTagWindow(Stopwatch _stopWatch)
{
InitializeComponent();
mAffCamFacRec = new AffectivaDataRecordingEmotionsandExpressions();
stopWatch = _stopWatch;
EmotionComboBox.SelectedIndex = 0;
}
public PostAffectivaEvaltionTool(float _valenceEmotion, float _timeStep, int _cameraId, double _camperaCaptureRate, double _processRate)
{
try
{
setValenceOfEmotion(_valenceEmotion);
setoldValues();
setTimeStep(_timeStep);
setDataDirectory(Environment.CurrentDirectory + "\\AffectivaFiles\\data");
setLincenseDirectory(Environment.CurrentDirectory + "\\AffectivaFiles\\[email protected]");
mVideoDetector = new VideoDetector();
setLicensePath(getLincenseDirectory());
setClassiferFolderPath(getDataDirectory());
/// turn on detectors for defualt
mVideoDetector.setDetectAllEmotions(true);
mVideoDetector.setDetectAllExpressions(true);
/// set types of detectors for Affdex
mVideoDetector.setFaceListener(this);
mVideoDetector.setImageListener(this);
// mVideoDetector.setProcessStatusListener(this);
// mcamDetector.setProcessStatusListener(this);
maffectData = new AffectivaDataRecordingEmotionsandExpressions();
}
catch (Exception ex)
{
System.Windows.Forms.MessageBox.Show(ex.ToString());
}
}
/// <summary>
/// Here is a default setup for Affectiva
/// </summary>
public PostAffectivaEvaltionTool(string path, double processrate, Affdex.ProcessStatusListener _Processer)
{
try
{
setValenceOfEmotion(4.0f);
setoldValues();
setTimeStep(.1f);
setDataDirectory(Environment.CurrentDirectory + "\\AffectivaFiles\\data");
setLincenseDirectory(Environment.CurrentDirectory + "\\AffectivaFiles\\[email protected]");
mVideoDetector = new VideoDetector(processrate);
setLicensePath(getLincenseDirectory());
setClassiferFolderPath(getDataDirectory());
/// turn on detectors for defualt
mVideoDetector.setDetectAllEmotions(true);
mVideoDetector.setDetectAllExpressions(true);
/// set types of detectors for Affdex
mVideoDetector.setFaceListener(this);
mVideoDetector.setImageListener(this);
mVideoDetector.setProcessStatusListener(_Processer);
maffectData = new AffectivaDataRecordingEmotionsandExpressions();//[maxAmountOfFaces];
this.mpath = path;
}
catch (Exception ex)
{
System.Windows.Forms.MessageBox.Show(ex.ToString());
}
}
/// <summary>
/// For setting up for post processing
/// </summary>
/// <param name="_AFCAMandVIdeo"></param>
/// <param name="_PostProcesses"></param>
public RecordingAffectivaReview(AffectivaDataRecordingEmotionsandExpressions _AFCAMandVIdeo, bool _PostProcesses)
{
InitializeComponent();
comboBoxEmotionSelect.SelectedIndex = 0;
AffData = _AFCAMandVIdeo;
SetupChart(_AFCAMandVIdeo);
}
/// <summary>
/// Push in data from another recording tool
/// </summary>
/// <param name="_MergeIn"></param>
public void MergeInData(AffectivaDataRecordingEmotionsandExpressions _MergeIn)
{
if (chart1.Series.Count > 0)
{
MergeInSeriesOfList(_MergeIn.GetChartSeriesOfData());
}
else
{
SetupChart(_MergeIn);
}
}
/// <summary>
/// For Starting a chart from Recording Tool
/// </summary>
/// <param name="AfCFRAVR"></param>
private void SetupChart(AffectivaDataRecordingEmotionsandExpressions AfCFRAVR)
{
SetupChartFromSeries(AfCFRAVR.GetChartSeriesOfData());
}
