Image MakeImage(PictureTag t)
{
Image img = Image.FromFile(t.Path);
int sourceWidth = img.Width;
int sourceHeight = img.Height;
int width = _width;
int height = _height;
// Fit height or fit width
if (t.FitHeight)
{
width = img.Width * height / img.Height; // Fit height
}
else
{
height = img.Height * width / img.Width; // Fit width
}
Bitmap bm = new Bitmap(_width, _height);
Graphics g = Graphics.FromImage(bm);
g.FillRectangle(new SolidBrush(t.Background), new Rectangle(0, 0, _width, _height));
g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
Rectangle r = new Rectangle((_width - width) / 2, (_height - height) / 2, width, height);
g.DrawImage(img, r);
g.Dispose();
return(bm);
}
private void OnFitHeight(object sender, EventArgs e)
{
PictureBox source = _menu.SourceControl as PictureBox;
PictureTag t = source.Tag as PictureTag;
if (!t.FitHeight)
{
t.FitHeight = true;
source.Image = MakeImage(t);
}
_fit = true;
}
private void OnColor(object sender, EventArgs e)
{
PictureBox source = _menu.SourceControl as PictureBox;
PictureTag t = source.Tag as PictureTag;
ColorDialog d = new ColorDialog();
d.Color = t.Background;
if (d.ShowDialog() == DialogResult.OK)
{
_bgcolor = t.Background = d.Color;
source.Image = MakeImage(t);
}
}
public async Task Results_Results_WhenSearchIsTag()
{
using (var db = new ArtDbContext(TestingDbContextOptions.TestDbContextOptions()))
{
var controller = new SearchController(db);
var picture = new Picture
{
Id = 1,
IsImage = true,
Likes = 10,
Title = "Test",
UploadDate = DateTime.Now,
Url = "//Test",
UserId = "test",
UserName = "******"
};
var tag = new Tag()
{
Id = 1,
TagName = "Tag",
};
var pictureTag = new PictureTag
{
Picture = picture,
PictureId = picture.Id,
Tag = tag,
TagId = tag.Id
};
tag.Pictures.Add(pictureTag);
picture.Tags.Add(pictureTag);
await db.Pictures.AddAsync(picture);
await db.SaveChangesAsync();
string searchTerm = "Tag";
controller.Results(searchTerm);
Assert.AreEqual(1, controller.PictureResults.Count);
}
}
public IActionResult Confirm()
{
var pictureToEdit = this.Context.Pictures.Include(a => a.Tags).Where(b => b.Id == this.Id).FirstOrDefault();
if (Authorized.IsAuthorizedUser(pictureToEdit.UserName, this.User.Identity.Name))
{
return(RedirectToPage("/Index"));
}
pictureToEdit.Title = this.Title;
var keywords = this.Tags
.Split(new char[] { ' ' }, StringSplitOptions.RemoveEmptyEntries)
.ToList();
var listOfTagsAll = this.Context.Tags;
var listOfPictureTags = new List <PictureTag>();
foreach (var tag in keywords)
{
int?tagId = 0;
try
{
tagId = this.Context.Tags.Where(a => a.TagName == tag).FirstOrDefault().Id;
}
catch { }
if (pictureToEdit.Tags.Any(a => a.Tag.Id == tagId))
{
continue;
}
var existsTag = listOfTagsAll.Where(a => a.TagName == tag).FirstOrDefault();
if (existsTag == null)
{
var newTag = new Tag
{
TagName = tag
};
var pictureTag = new PictureTag
{
Picture = pictureToEdit,
PictureId = pictureToEdit.Id,
Tag = newTag,
TagId = newTag.Id
};
listOfPictureTags.Add(pictureTag);
this.Context.PictureTag.Add(pictureTag);
this.Context.Tags.Add(newTag);
}
else
{
var pictureTag = new PictureTag
{
Picture = pictureToEdit,
PictureId = pictureToEdit.Id,
Tag = existsTag,
TagId = existsTag.Id
};
listOfPictureTags.Add(pictureTag);
this.Context.PictureTag.Add(pictureTag);
}
}
pictureToEdit.Tags = listOfPictureTags;
this.Context.Pictures.Update(pictureToEdit);
this.Context.SaveChanges();
return(Redirect($"/viewImage/image/{pictureToEdit.Id}"));
}
public async Task <IActionResult> UploadImage(IFormFile file, string title, string tags)
{
if (file == null || file.Length == 0)
{
ModelState.AddModelError("File", "File not selected!");
return(View());
}
var fileExtension = file.FileName.Substring(file.FileName.Length - Math.Min(4, file.FileName.Length));
if (fileExtension != ".jpg" && fileExtension != ".png")
{
ModelState.AddModelError("File", "File not in the right format!");
return(View());
}
var username = this.ControllerContext.HttpContext.User.Identity.Name;
var path = "_Pictures\\" + username;
DirectoryInfo di = Directory.CreateDirectory(path);
var pathToImages = path + "\\" + Guid.NewGuid() + fileExtension;
using (var stream = new FileStream(pathToImages, FileMode.Create))
{
await file.CopyToAsync(stream);
}
var userId = User.FindFirstValue(ClaimTypes.NameIdentifier);
var picture = new Picture()
{
Title = title,
UploadDate = DateTime.Now,
Url = pathToImages,
UserName = username,
UserId = userId,
};
var keywords = tags
.Split(new char[] { ' ' }, StringSplitOptions.RemoveEmptyEntries)
.ToList();
var listOfTagsAll = this.Context.Tags;
var listOfPictureTags = new List <PictureTag>();
foreach (var tag in keywords)
{
var existsTag = listOfTagsAll.Where(a => a.TagName == tag).FirstOrDefault();
if (existsTag == null)
{
var newTag = new Tag
{
TagName = tag
};
var pictureTag = new PictureTag
{
Picture = picture,
PictureId = picture.Id,
Tag = newTag,
TagId = newTag.Id
};
listOfPictureTags.Add(pictureTag);
this.Context.PictureTag.Add(pictureTag);
this.Context.Tags.Add(newTag);
}
else
{
var pictureTag = new PictureTag
{
Picture = picture,
PictureId = picture.Id,
Tag = existsTag,
TagId = existsTag.Id
};
listOfPictureTags.Add(pictureTag);
this.Context.PictureTag.Add(pictureTag);
}
}
picture.Tags = listOfPictureTags;
this.Context.Pictures.Add(picture);
await this.Context.SaveChangesAsync();
return(Redirect($"/viewImage/image/{picture.Id}"));
}
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;
}