public FaceRecognitionTrainingStatus AddImageToTrainingSet(Bitmap faceImage, SimplePerson personOnImage)
{
using (var originalImage = new Image<Bgr, byte>(faceImage))
{
try
{
var faces = _faceDetectionAlgorithm.FindFaces(faceImage);
if (faces.Count == 1)
{
var face = faces.First();
var tag = new PictureTag
{
X = face.Bounds.X,
Y = face.Bounds.Y,
Height = face.Bounds.Height,
Width = face.Bounds.Width,
};
var existingPerson = _unitOfWork.Repository<Person>().Query(q => q.FirstName == personOnImage.FirstName && q.LastName == personOnImage.LastName).Select().FirstOrDefault();
if (existingPerson != null)
{
tag.PersonOnImageTag = existingPerson;
}
else
{
tag.PersonOnImageTag = new Person
{
FirstName = personOnImage.FirstName,
LastName = personOnImage.LastName
};
}
if (!Directory.Exists(_basePicturesPath))
{
Directory.CreateDirectory(_basePicturesPath);
}
var thumbnailGrayscaleIplImage = CropAndNormalizeFace(originalImage, face);
string originalImageGuid = Guid.NewGuid().ToString();
string thumbnailGrayscaleGuid = Guid.NewGuid().ToString();
string imageExtension = FileHelper.ImageExtensionFromImageFormat(originalImage.Bitmap.RawFormat);
string localOrignalImagePath = _basePicturesPath +"\\Files\\Faces\\"+ originalImageGuid + imageExtension;
string localThumbnailGrayscaleImagePath = _basePicturesPath + "\\Files\\Faces\\" + thumbnailGrayscaleGuid + imageExtension;
originalImage.Save(localOrignalImagePath);
thumbnailGrayscaleIplImage.Save(localThumbnailGrayscaleImagePath);
//FileHelper.Save(originalImage, orignalImagePath, 90);
//FileHelper.Save(thumbnailGrayscaleIplImage, thumbnailGrayscaleImagePath, 90);
var image = new FaceDetection.Library.Models.Image
{
Pictures = new List<Picture>()
{
new Picture
{
PicturePath = "/Files/Faces/"+originalImageGuid+imageExtension,
NumberOfChannels = originalImage.NumberOfChannels,
Height = faceImage.Height,
Width = faceImage.Width,
Type = PictureType.Original,
Tags = new List<PictureTag>
{
tag
}
},
new Picture
{
PicturePath = "/Files/Faces/"+thumbnailGrayscaleGuid+imageExtension,
NumberOfChannels = thumbnailGrayscaleIplImage.NumberOfChannels,
Height = _faceSize.Height,
Width = _faceSize.Width,
Type = PictureType.GrayscaleThumbnail,
Tags = new List<PictureTag>
{
tag
}
}
}
};
_unitOfWork.BeginTransaction();
try
{
_unitOfWork.Repository<FaceDetection.Library.Models.Image>().Insert(image);
_unitOfWork.Commit();
return FaceRecognitionTrainingStatus.TrainingSuccessful;
}
catch (Exception e)
{
_unitOfWork.Rollback();
throw e;
}
}
else if (faces.Count == 0)
{
return FaceRecognitionTrainingStatus.NoFacesFound;
}
else
{
return FaceRecognitionTrainingStatus.FoundMoreThenOneFace;
}
}
catch (Exception e)
{
throw e;
}
}
return FaceRecognitionTrainingStatus.TrainingFailure;
}
public FaceRecognitionTrainingStatus AddImageToTrainingSet(Bitmap faceImage, SimplePerson personOnImage)
{
using (var originalImage = new Image<Bgr, byte>(faceImage))
{
try
{
var faces = _faceDetectionAlgorithm.FindFaces(faceImage);
if (faces.Count == 1)
{
var face = faces.First();
var tag = new PictureTag
{
X = face.Bounds.X,
Y = face.Bounds.Y,
Height = face.Bounds.Height,
Width = face.Bounds.Width,
};
var existingPerson = _unitOfWork.Repository<Person>().Query(q => q.FirstName == personOnImage.FirstName && q.LastName == personOnImage.LastName).Select().FirstOrDefault();
if (existingPerson != null)
{
tag.PersonOnImageTag = existingPerson;
}
else
{
tag.PersonOnImageTag = new Person
{
FirstName = personOnImage.FirstName,
LastName = personOnImage.LastName
};
}
if (!Directory.Exists(_basePicturesPath))
{
Directory.CreateDirectory(_basePicturesPath);
}
var thumbnailGrayscaleIplImage = CropAndNormalizeFace(originalImage, face);
string originalImageGuid = Guid.NewGuid().ToString();
string thumbnailGrayscaleGuid = Guid.NewGuid().ToString();
string imageExtension = FileHelper.ImageExtensionFromImageFormat(originalImage.Bitmap.RawFormat);
string localOrignalImagePath = _basePicturesPath +"\\Files\\Faces\\"+ originalImageGuid + imageExtension;
string localThumbnailGrayscaleImagePath = _basePicturesPath + "\\Files\\Faces\\" + thumbnailGrayscaleGuid + imageExtension;
originalImage.Save(localOrignalImagePath);
thumbnailGrayscaleIplImage.Save(localThumbnailGrayscaleImagePath);
//FileHelper.Save(originalImage, orignalImagePath, 90);
//FileHelper.Save(thumbnailGrayscaleIplImage, thumbnailGrayscaleImagePath, 90);
var image = new FaceDetection.Library.Models.Image
{
Pictures = new List<Picture>()
{
new Picture
{
PicturePath = "/Files/Faces/"+originalImageGuid+imageExtension,
NumberOfChannels = originalImage.NumberOfChannels,
Height = faceImage.Height,
Width = faceImage.Width,
Type = PictureType.Original,
Tags = new List<PictureTag>
{
tag
}
},
new Picture
{
PicturePath = "/Files/Faces/"+thumbnailGrayscaleGuid+imageExtension,
NumberOfChannels = thumbnailGrayscaleIplImage.NumberOfChannels,
Height = _faceSize.Height,
Width = _faceSize.Width,
Type = PictureType.GrayscaleThumbnail,
Tags = new List<PictureTag>
{
tag
}
}
}
};
_unitOfWork.BeginTransaction();
try
{
_unitOfWork.Repository<FaceDetection.Library.Models.Image>().Insert(image);
_unitOfWork.Commit();
return FaceRecognitionTrainingStatus.TrainingSuccessful;
}
catch (Exception e)
{
_unitOfWork.Rollback();
throw e;
}
}
else if (faces.Count == 0)
{
return FaceRecognitionTrainingStatus.NoFacesFound;
}
else
{
return FaceRecognitionTrainingStatus.FoundMoreThenOneFace;
}
}
catch (Exception e)
{
throw e;
}
}
return FaceRecognitionTrainingStatus.TrainingFailure;
}