public void LoadImagesToWorkingArea(List <Image> images)
{
List <Image> workingAreaImages = new List <Image>();
foreach (Image image in images)
{
List <Label> listLabelCopy = new List <Label>();
foreach (Label label in image.Labels)
{
if (label.labelType == "SimpleLabel")
{
SimpleLabel label2 = (SimpleLabel)label;
listLabelCopy.Add(new SimpleLabel(label2.Sentence));
}
else if (label.labelType == "PersonLabel")
{
PersonLabel label2 = (PersonLabel)label;
listLabelCopy.Add(new PersonLabel(label2.Name, label2.FaceLocation, label2.Surname, label2.Nationality, label2.EyesColor, label2.HairColor, label2.Sex, label2.BirthDate, label2.SerialNumber));
}
else if (label.labelType == "SpecialLabel")
{
SpecialLabel label2 = (SpecialLabel)label;
listLabelCopy.Add(new SpecialLabel(label2.GeographicLocation, label2.Address, label2.Photographer, label2.PhotoMotive, label2.Selfie, label2.SerialNumber));
}
}
Image newImage = new Image(image.Name, listLabelCopy, image.Calification, image.BitmapImage, image.Resolution, image.AspectRatio, image.DarkClear, image.Exif);
workingAreaImages.Add(newImage);
}
foreach (Image image in workingAreaImages)
{
this.WorkingArea.WorkingAreaImages.Add(image);
}
return;
}
public List <Image> Search(List <Image> images, string searchDeclaration)
{
List <List <List <string> > > Declarations = Declaration(searchDeclaration);
List <List <Image> > Total = new List <List <Image> >();
List <Image> Final = new List <Image>();
foreach (List <List <string> > subDec in Declarations)
{
List <Image> temp = new List <Image>();
foreach (Image image in images)
{
int cont = 0;
foreach (List <string> atributes in subDec)
{
switch (atributes[0])
{
case "HairColor":
if (image.SomePersonLabelContains(atributes[0], null, ENationality.None, (EColor)Enum.Parse(typeof(EColor), atributes[1])))
{
cont++;
}
break;
case "EyesColor":
if (image.SomePersonLabelContains(atributes[0], null, ENationality.None, (EColor)Enum.Parse(typeof(EColor), atributes[1])))
{
cont++;
}
break;
case "Sex":
if (image.SomePersonLabelContains(atributes[0], null, ENationality.None, EColor.None, (ESex)Enum.Parse(typeof(ESex), atributes[1])))
{
cont++;
}
break;
case "Name":
if (image.SomePersonLabelContains(atributes[0], atributes[1]))
{
cont++;
}
break;
case "Face":
foreach (Label b in image.Labels)
{
if (b.labelType == "PersonLabel")
{
PersonLabel plb = (PersonLabel)b;
if (plb.FaceLocation != null && plb.Name == atributes[1])
{
// x, y, width, height
double[] coord = { plb.FaceLocation[0], plb.FaceLocation[1], plb.FaceLocation[2], plb.FaceLocation[3] };
System.Drawing.Bitmap BmapClone = (System.Drawing.Bitmap)image.BitmapImage.Clone();
BmapClone = scissors.Crop(BmapClone, coord);
Image faceImage = new Image(BmapClone, new List <Label>(), image.Calification);
temp.Add(faceImage);
}
}
}
break;
case "Surname":
//Console.WriteLine(atributes[1]);
if (image.SomePersonLabelContains(atributes[0], atributes[1]))
{
cont++;
}
break;
case "Birthdate":
if (image.SomePersonLabelContains(atributes[0], atributes[1]))
{
cont++;
}
break;
case "FaceLocation":
string[] subFACEstring = atributes[1].Split(new string[] { "," }, StringSplitOptions.None);
double[] faceCoords = { Convert.ToDouble(subFACEstring[0]), Convert.ToDouble(subFACEstring[1]), Convert.ToDouble(subFACEstring[2]), Convert.ToDouble(subFACEstring[3]) };
if (image.SomePersonLabelContains(atributes[0], null, ENationality.None, EColor.None, ESex.None, faceCoords))
{
cont++;
}
break;
case "Nationality":
if (image.SomePersonLabelContains(atributes[0], null, (ENationality)Enum.Parse(typeof(ENationality), atributes[1])))
{
cont++;
}
break;
case "GeographicLocation":
string[] substring = atributes[1].Split(new string[] { "," }, StringSplitOptions.None);
double[] coords = { Convert.ToDouble(substring[0]), Convert.ToDouble(substring[1]) };
if (image.SomeSpecialLabelContains(atributes[0], coords))
{
cont++;
}
break;
case "Address":
if (image.SomeSpecialLabelContains(atributes[0], null, atributes[1]))
{
cont++;
}
break;
case "Photographer":
if (image.SomeSpecialLabelContains(atributes[0], null, atributes[1]))
{
cont++;
}
break;
case "Photomotive":
if (image.SomeSpecialLabelContains(atributes[0], null, atributes[1]))
{
cont++;
}
break;
case "Selfie":
if (image.SomeSpecialLabelContains(atributes[0], null, null, Convert.ToBoolean(atributes[1])))
{
cont++;
}
break;
case "Sentence":
if (image.SomeSimpleLabelContains(atributes[0], atributes[1]))
{
cont++;
}
break;
case "ImageName": //string
if (image.Name == atributes[1])
{
cont++;
}
break;
case "Calification": // int
try
{
if (image.Calification == Convert.ToInt32(atributes[1]))
{
cont++;
}
}
catch
{
Console.WriteLine("Calification => Parameter: {0} must be an integer", atributes[1]);
}
break;
case "Resolution": // int[]
try
{
string[] resString = atributes[1].Split(new string[] { "," }, StringSplitOptions.None);
int[] resolution = { Convert.ToInt32(resString[0]), Convert.ToInt32(resString[1]) };
if (image.Resolution[0] == resolution[0] && image.Resolution[1] == resolution[1])
{
cont++;
}
}
catch
{
Console.WriteLine("Resolution => Parameter: {0} must be an integer array", atributes[1]);
}
break;
case "AspectRatio": // int[]
try
{
string[] aspectString = atributes[1].Split(new string[] { "," }, StringSplitOptions.None);
int[] aspectRatio = { Convert.ToInt32(aspectString[0]), Convert.ToInt32(aspectString[1]) };
if (image.Resolution[0] == aspectRatio[0] && image.Resolution[1] == aspectRatio[1])
{
cont++;
}
}
catch
{
Console.WriteLine("AspectRatio => Parameter: {0} must be an integer array", atributes[1]);
}
break;
case "DarkClear": // bool
try
{
if (image.DarkClear == Convert.ToBoolean(atributes[1]))
{
cont++;
}
}
catch
{
Console.WriteLine("DarkClear => Parameter: {0} must be a boolean", atributes[1]);
}
break;
case "AutomaticAdjustment":
if (image.ApplyedFilters[EFilter.AutomaticAdjustment].ToString() == atributes[1])
{
cont++;
}
break;
case "Grayscale":
if (image.ApplyedFilters[EFilter.Grayscale].ToString() == atributes[1])
{
cont++;
}
break;
case "Brightness":
if (image.ApplyedFilters[EFilter.Brightness].ToString() == atributes[1])
{
cont++;
}
break;
case "Color":
if (image.ApplyedFilters[EFilter.Color].ToString() == atributes[1])
{
cont++;
}
break;
case "Invert":
if (image.ApplyedFilters[EFilter.Invert].ToString() == atributes[1])
{
cont++;
}
break;
case "Sepia":
if (image.ApplyedFilters[EFilter.Sepia].ToString() == atributes[1])
{
cont++;
}
break;
case "RotateFlip":
if (image.ApplyedFilters[EFilter.RotateFlip].ToString() == atributes[1])
{
cont++;
}
break;
case "Mirror":
if (image.ApplyedFilters[EFilter.Mirror].ToString() == atributes[1])
{
cont++;
}
break;
case "OldFilm":
if (image.ApplyedFilters[EFilter.OldFilm].ToString() == atributes[1])
{
cont++;
}
break;
case "Windows":
if (image.ApplyedFilters[EFilter.Windows].ToString() == atributes[1])
{
cont++;
}
break;
case "Contrast":
if (image.ApplyedFilters[EFilter.Contrast].ToString() == atributes[1])
{
cont++;
}
break;
case "Burned":
if (image.ApplyedFilters[EFilter.Burned].ToString() == atributes[1])
{
cont++;
}
break;
}
}
if (cont == subDec.Count) //Contador de parametros que calzan, es igual a la cantidad de parametros en subDec
{
temp.Add(image);
}
}
Total.Add(temp);
}
//Image Filter
foreach (List <Image> subList in Total)
{
foreach (Image tempImage in subList)
{
if (!Final.Contains(tempImage))
{
Final.Add(tempImage);
}
}
}
return(Final);
}