public static FaceRosponse AnalyzePhoto(Image <Bgr, byte> image)
{
FaceRosponse outData = new FaceRosponse();
string frontFaceFilePath = Application.StartupPath + @"\Face\Data\haarcascade_frontalface_default.xml";
string sideFaceFilePath = Application.StartupPath + @"\Face\Data\lbpcascade_profileface.xml";
List <Rectangle> faceRects = new List <Rectangle>();
List <Rectangle> faceRectFront = new List <Rectangle>();
List <Rectangle> faceRectSide = new List <Rectangle>();
faceRectFront = DetectFace(image, frontFaceFilePath);
faceRectSide = DetectFace(image, sideFaceFilePath);
faceRects.AddRange(faceRectFront);
faceRects.AddRange(faceRectSide);
foreach (Rectangle faceRect in faceRects)
{
Image <Bgr, byte> _croppedImage = image.Copy();
_croppedImage.ROI = new Rectangle(faceRect.X, faceRect.Y, faceRect.Width, faceRect.Height);
RecognizerResponse faceResponce = new RecognizerResponse();
int[] genderFaces = GetGender(_croppedImage);
if (genderFaces.Length < 2)
{
continue;
}
faceResponce.gender = genderFaces[0] == 0 ? "male" : "female";
faceResponce.genderProb = genderFaces[1];
int[] ageFaces = GetAge(_croppedImage);
if (ageFaces.Length < 2)
{
continue;
}
faceResponce.ageClass = ageFaces[0];
faceResponce.ageProb = ageFaces[1];
faceResponce.ageDiapason = GetAgeDiapasonByClass(faceResponce.ageClass);
outData.personsData.Add(faceResponce);
_croppedImage = null;
}
outData.personsFaces.AddRange(faceRects);
if (faceRects.Count == 0)
{
outData = null;
}
GC.Collect();
return(outData);
}
public static FaceRosponse AnalyzePhotoAsync(Image <Bgr, byte> image)
{
string frontFaceFilePath = Application.StartupPath + @"\Face\Data\haarcascade_frontalface_default.xml";
string sideFaceFilePath = Application.StartupPath + @"\Face\Data\lbpcascade_profileface.xml";
List <Rectangle> faceRects = new List <Rectangle>();
List <Rectangle> faceRectFront = new List <Rectangle>();
List <Rectangle> faceRectSide = new List <Rectangle>();
faceRectFront = DetectFace(image, frontFaceFilePath);
faceRectSide = DetectFace(image, sideFaceFilePath);
faceRects.AddRange(faceRectFront);
faceRects.AddRange(faceRectSide);
FaceRosponse outData = new FaceRosponse();
List <Thread> tasks = new List <Thread>();
CancellationTokenSource cancelSourse = new CancellationTokenSource();
foreach (Rectangle faceRect in faceRects)
{
tasks.Add(new Thread(() =>
{
Image <Bgr, byte> _croppedImage = image.Copy();
_croppedImage.ROI = new Rectangle(faceRect.X, faceRect.Y, faceRect.Width, faceRect.Height);
RecognizerResponse faceResponce = new RecognizerResponse();
int[] genderFaces = GetGender(_croppedImage);
if (genderFaces.Length < 2)
{
return;
}
faceResponce.gender = genderFaces[0] == 0 ? "male" : "female";
faceResponce.genderProb = genderFaces[1];
int[] ageFaces = GetAge(_croppedImage);
if (ageFaces.Length < 2)
{
return;
}
faceResponce.ageClass = ageFaces[0];
faceResponce.ageProb = ageFaces[1];
faceResponce.ageDiapason = GetAgeDiapasonByClass(faceResponce.ageClass);
lock (outData)
{
outData.personsData.Add(faceResponce);
outData.personsFaces.Add(faceRect);
}
_croppedImage = null;
}));
}
for (int i = 0; i < tasks.Count; i++)
{
tasks[i].Start();
}
for (int i = 0; i < tasks.Count; i++)
{
tasks[i].Join();
}
if (faceRects.Count == 0)
{
outData = null;
}
GC.Collect();
return(outData);
}