private void _updateFacesList(JArray ja)
{
ObservableCollection <Face> newColl = new ObservableCollection <Face>();
// Main face computation
int mainFaceID = -1;
float maxHeadSize = -1;
// Copy new faces in existing list
if (ja != null)
{
foreach (var v in ja)
{
// Parse basic info
int id = int.Parse(v["id"].ToString());
string gender = v["gender"].ToString();
string age = v["age"].ToString();
var ageInteger = Int16.Parse(age);
string ageRange = ageInteger <= 16 ? "child" :
ageInteger <= 30 ? "young adult" :
ageInteger <= 45 ? "middle-aged adult" : "old-aged adult";
var x = float.Parse(v["location"]["x"].ToString(), CultureInfo.InvariantCulture); // TODO: normalize? (or on C++ side?)
var y = float.Parse(v["location"]["y"].ToString(), CultureInfo.InvariantCulture);
var width = float.Parse(v["location"]["width"].ToString(), CultureInfo.InvariantCulture);
var height = float.Parse(v["location"]["height"].ToString(), CultureInfo.InvariantCulture);
// Intuiface coordinates system: move X&Y coords to represent the center of the head, not the top left corner
x += width / 2;
y += height / 2;
// TODO: estimate distance in cm based on head size and camera focal / calibration step ??
var faceSize = (int)(width * height * 100 * 100); // Current value: % of head area over total image area
var mainEmotion = v["mainEmotion"]["emotion"].ToString();
var mainEmotionConfidence = float.Parse(v["mainEmotion"]["confidence"].ToString(), CultureInfo.InvariantCulture);
// Parse additional emotions
EmotionConfidence emotionConfidence = new EmotionConfidence();
emotionConfidence.Angry = float.Parse(v["emotions"]["anger"].ToString(), CultureInfo.InvariantCulture);
emotionConfidence.Happy = float.Parse(v["emotions"]["happy"].ToString(), CultureInfo.InvariantCulture);
emotionConfidence.Neutral = float.Parse(v["emotions"]["neutral"].ToString(), CultureInfo.InvariantCulture);
emotionConfidence.Sad = float.Parse(v["emotions"]["sad"].ToString(), CultureInfo.InvariantCulture);
emotionConfidence.Surprised = float.Parse(v["emotions"]["surprise"].ToString(), CultureInfo.InvariantCulture);
// Parse head pose estimation
HeadPoseEstimation headPoseEstimation = new HeadPoseEstimation();
headPoseEstimation.Pitch = float.Parse(v["headpose"]["pitch"].ToString(), CultureInfo.InvariantCulture);
headPoseEstimation.Yaw = float.Parse(v["headpose"]["yaw"].ToString(), CultureInfo.InvariantCulture);
headPoseEstimation.Roll = float.Parse(v["headpose"]["roll"].ToString(), CultureInfo.InvariantCulture);
// If face size filtering is active, check is head is bigger than threshold
if (faceSize < m_dMinimumFaceSize)
{
// Don't add face to list
continue;
}
// TODO: use real "distance" and take the min one.
if (faceSize > maxHeadSize)
{
maxHeadSize = faceSize;
mainFaceID = id;
}
newColl.Add(new Face()
{
Id = id,
X = x,
Y = y,
Width = width,
Height = height,
FaceSize = faceSize,
Gender = gender,
Age = age,
AgeRange = ageRange,
MainEmotion = mainEmotion,
MainEmotionConfidence = mainEmotionConfidence,
EmotionConfidence = emotionConfidence,
HeadPoseEstimation = headPoseEstimation
});
}
}
// Order by ID
newColl = new ObservableCollection <Face>(newColl.OrderBy(i => i.Id));
// Compare old (current) list and new list
var removed = Faces.Except(newColl);
var added = newColl.Except(Faces);
if (removed.Count() > 0)
{
foreach (var face in removed)
{
// Raise face lost event
Console.WriteLine("Face lost: " + face);
RaiseFaceLost(face.Id, face.Gender, face.Age, face.DwellTime);
m_startTimeMap.Remove(face.Id);
}
}
if (added.Count() > 0)
{
foreach (var face in added)
{
// Raise face added event
Console.WriteLine("Face added: " + face);
RaiseFaceDetected(face.Id, face.Gender, face.Age);
m_startTimeMap.Add(face.Id, DateTime.Now);
}
}
// Update elements in current list with new list
int newCount = newColl.Count;
int oldCount = Faces.Count;
if (newCount != oldCount)
{
// Raise face count changed event
Console.WriteLine("Face count changed: " + newCount);
RaiseFaceCountChanged(newCount);
}
// Adjust number of faces in Faces
// New users to add
if (newCount > oldCount)
{
for (int i = 0; i < newCount - oldCount; i++)
{
Faces.Add(new Face());
}
}
// Users to remove
else if (newCount < oldCount)
{
for (int i = newCount; i < oldCount; i++)
{
Faces.RemoveAt(newCount);
}
}
// Copy new coll properties in existing faces list.
int index = 0;
foreach (var item in newColl)
{
try
{
Faces[index].Id = item.Id;
Faces[index].X = item.X;
Faces[index].Y = item.Y;
Faces[index].Width = item.Width;
Faces[index].Height = item.Height;
Faces[index].Gender = item.Gender;
Faces[index].Age = item.Age;
Faces[index].AgeRange = item.AgeRange;
Faces[index].DwellTime = (DateTime.Now - m_startTimeMap[item.Id]).TotalSeconds;
Faces[index].FaceSize = item.FaceSize;
Faces[index].MainEmotion = item.MainEmotion;
Faces[index].MainEmotionConfidence = item.MainEmotionConfidence;
// Additional emotions
Faces[index].EmotionConfidence = item.EmotionConfidence;
// Head pose estimation
Faces[index].HeadPoseEstimation = item.HeadPoseEstimation;
}
catch (Exception ex)
{
ActivityLog += ex.Message + "\n";
throw;
}
index++;
}
// Update face count
FaceCount = Faces.Count();
// Copy main face info
if (FaceCount > 0)
{
var item = Faces.FirstOrDefault(i => i.Id == mainFaceID);
if (item != null)
{
MainFace.Id = item.Id;
MainFace.X = item.X;
MainFace.Y = item.Y;
MainFace.Width = item.Width;
MainFace.Height = item.Height;
MainFace.FaceSize = item.FaceSize;
MainFace.Gender = item.Gender;
MainFace.Age = item.Age;
MainFace.AgeRange = item.AgeRange;
MainFace.DwellTime = (DateTime.Now - m_startTimeMap[item.Id]).TotalSeconds;
MainFace.MainEmotion = item.MainEmotion;
MainFace.MainEmotionConfidence = item.MainEmotionConfidence;
// Additional emotions
MainFace.EmotionConfidence = item.EmotionConfidence;
// Head pose estimation
MainFace.HeadPoseEstimation = item.HeadPoseEstimation;
// Mark the face detected
IsMainFaceDetected = true;
}
else
{
IsMainFaceDetected = false;
}
}
else
{
IsMainFaceDetected = false;
}
}
