static void Main(string[] args)
{
PictureProvider foto = new PictureProvider();
IPicture foto1 = foto.GetPicture(@"C:\Users\estudiante.fit\Documents\GitHub\CompAndDel\fotojpg.jpg");
int[,] matriz = new int[3, 3] {
{ -1, 0, -1, }, { 0, 4, 0 }, { -1, 0, -1 }
};
Propiedades data = new Propiedades(matriz, 1, 27);
FilterConvolution FiltroDeMatriz = new FilterConvolution(data);
FilterGreyscale FiltroGreyscale = new FilterGreyscale();
BoolFilter FiltroBooleano = new BoolFilter();
TwitterImage sender = new TwitterImage("dtOgpyjBBXglAzMEjMMZtFf73",
"Qzm0FxotJ9YyoXiGLJ4JI9IZFWmYvB4LWpteWPGVYofxSG4FnN",
"1396065818-13uONd7FgFVXhW1xhUCQshKgGv4UOnKeDipg4cz",
"HXtlP1SRnJCL5a37R98hFrIRlEIouZX3Ra4s6JuFOpXZF");
TwitterFilter FiltroTwitter = new TwitterFilter(sender);
PipeNull cañofinal = new PipeNull();
PipeSerial caño3 = new PipeSerial(FiltroGreyscale, cañofinal);
PipeSerial caño1 = new PipeSerial(FiltroTwitter, cañofinal);
BoolPipe CañoBifurcado = new BoolPipe(caño1, caño3, FiltroBooleano);
IPicture foto2 = CañoBifurcado.Send(foto1);
foto.SavePicture(foto2, @"C:\Users\estudiante.fit\Documents\GitHub\CompAndDel\foto12.jpg");
}
static void Main(string[] args)
{
PictureProvider provider = new PictureProvider();
IPicture picture = provider.GetPicture("../../assets/yacht.jpg");
IPipe pipeNull = new PipeNull();
IFilter filterSavePicture = new FilterSavePicture();
IFilter filterPublish = new FilterPublishPicture();
IPipe thirdPipeSerial = new PipeSerial(filterPublish, pipeNull);
IPipe secondPipeSerialSave = new PipeSerial(filterSavePicture, thirdPipeSerial);
IFilter filterNegative = new FilterNegative();
IPipe secondPipeSerial = new PipeSerial(filterNegative, secondPipeSerialSave);
IPipe firstPipeSerialSave = new PipeSerial(filterSavePicture, secondPipeSerial);
IFilter filterGreyScale = new FilterGreyscale();
IPipe pipeConditional = new PipeConditionalBifurcation(thirdPipeSerial, secondPipeSerial);
IPipe pipeSerial = new PipeSerial(filterGreyScale, firstPipeSerialSave);
IPicture newPicture = pipeSerial.Send(picture);
}
static void Main(string[] args)
{
// creamos un objeto PictureProvider y obtenemos una imagen
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("C:/Users/FIT/programacion2/ejercicio_en_clase/ComposicionYDelegacion/PII_Pipes_Filters-master/gato.png");
// creamos un pipeNull
IPipe pipenull = new PipeNull();
// creamos instancias de todos los filtros que nos interecen
FilterSave filtersave = new FilterSave("../../gato2.png");
FilterTwitter filtertwitter = new FilterTwitter(filtersave.path);
FilterNegative filternegative = new FilterNegative();
FilterGreyscale filtergreyscale = new FilterGreyscale();
ConditionalFilter conditionalfilter = new ConditionalFilter(filtersave.path);
FilterBlurConvolution filterblurconvolution = new FilterBlurConvolution();
// creamos instancias de todos los pipeSerial que vayamos a utilizar
IPipe pipeserial7 = new PipeSerial(filtertwitter, pipenull);
IPipe pipeserial6 = new PipeSerial(filtersave, pipeserial7); // en este caso se sobrescribe la imagen guardada ya que estoy usando el mismo filtersave con el mismo path
IPipe pipeserial5 = new PipeSerial(filterblurconvolution, pipeserial6);
IPipe pipeserial4 = new PipeSerial(filtertwitter, pipenull);
IPipe pipefork = new PipeFork(conditionalfilter, pipeserial4, pipeserial5);
IPipe pipeserial3 = new PipeSerial(filtersave, pipefork);
IPipe pipeserial2 = new PipeSerial(filternegative, pipeserial3);
IPipe pipeserial = new PipeSerial(filtergreyscale, pipeserial2);
// enviamos la imagen al primer pipeSerial
pipeserial.Send(pic);
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture(@"Silla.jpg");
PipeSerial greyscale = new PipeSerial(new FilterGreyscale(), new PipeNull());
pic = greyscale.Send(pic);
//p.SavePicture(pic,@"matrix2.jpg");
/*
* La idea es que cuando pase por el FilterSaving se guarde la imagen con el filtro aplicado de donde viene.
* Le paso la foto al pipe grayScale que lo va a pasar por FilterGrayScale y de ahi a un pipe que se llama saveImage
* creado para este ejercicio, este pipe le aplica el filto que guarda la imagen. De ahi se va al pipe fork donde decide
* dependiendo de si tiene cara o no si va al twitterfilter o al negative.
* Después de ese filtro llega al pipe null.
*/
FilterSaving saving = FilterSaving.Instance;
PipeSerial saveImageAlreadyWentThrough = new PipeSerial(saving, new PipeNull());
PipeSerial negative = new PipeSerial(new FilterNegative(), saveImageAlreadyWentThrough);
PipeSerial twitterFilter = new PipeSerial(new TwitterFilter(), new PipeNull());
PipeFork DoesItHaveAFace = new PipeFork(twitterFilter, negative, new HasFaceConditional());
PipeSerial saveImage = new PipeSerial(saving, DoesItHaveAFace);
PipeSerial grayScale = new PipeSerial(new FilterGreyscale(), saveImage);
grayScale.Send(pic);
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("../../Sequence-1.png");
FilterGreyscale greyscale = new FilterGreyscale();
FilterNegative filternegative = new FilterNegative();
PipeNull pipeNull = new PipeNull();
FilterSave saveFilter = new FilterSave();
TwitterSave twitterSave = new TwitterSave();
PipeSerial pipeserial3 = new PipeSerial(saveFilter, pipeNull);
PipeSerial pipeserial4 = new PipeSerial(twitterSave, pipeNull);
PipeFork pipeFork4 = new PipeFork(pipeNull, pipeserial4);
PipeFork pipeFork3 = new PipeFork(pipeNull, pipeserial3);
PipeSerial pipeserial2 = new PipeSerial(filternegative, pipeFork3);
PipeFork pipeFork5 = new PipeFork(pipeserial2, pipeserial4);
PipeFork pipeFork2 = new PipeFork(pipeFork5, pipeserial3);
PipeSerial pipeSerial = new PipeSerial(greyscale, pipeFork2);
PipeFork pipeFork1 = new PipeFork(pipeSerial, pipeserial3);
pipeFork1.Send(pic);
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("TestImg.jpg"); //consumo imagen
//Parte 1
PipeSerial firstSerial = new PipeSerial(new FilterGreyscale(), new PipeSerial(new FilterNegative(), new PipeNull())); //Genero mi series de Pipes
//firstSerial.Send(pic); //envío la pic por la serie de pipes del ejercicio
//Parte 2
PipeSerial secondSerial = new PipeSerial(new FilterGreyscale(),
new PipeSerial(new FilterSave(), //en este caso entre filtro y filtro guardo la imagen
new PipeSerial(new FilterNegative(),
new PipeSerial(new FilterSave(),
new PipeNull())))); //Genero mi series de Pipes
//secondSerial.Send(pic); //envio la pic por la serie de pipes de la segunda parte del ejercicio
//Parte 3
PipeSerial thirdSerial = new PipeSerial(new FilterGreyscale(),
new PipeSerial(new FilterSave(), //en este caso entre filtro y filtro guardo la imagen
new PipeSerial(new FilterNegative(),
new PipeSerial(new FilterSave(),
new PipeSerial(new FilterTwitter(), //publico la imagen con todos los filtros en ucuTW
new PipeNull()))))); //Genero mi series de Pipes
//thirdSerial.Send(pic); //envio la pic por la serie de pipes de la tercera parte del ejercicio
//Parte 4
PipeSerial fourthSerial = new PipeSerial(new FilterGreyscale(),
new PipeSerial(new FilterSave(), //guardo
new PipeFork( //ingreso a la bifurcación, fue modificada para primero tener que aplicar el filtro condicional
new FilterConditionalFace(), //paso filtro de condición
new PipeSerial(new FilterTwitter(), //si es true envío a twitter
new PipeNull()),
new PipeSerial(new FilterNegative(), //serie si es false, primero aplico negativo
new PipeSerial(new FilterSave(), //luego de aplicar negativo, guardo
new PipeNull())))
));
//fourthSerial.Send(pic); //envio la pic por la serie de pipes de la cuarta parte del ejercicio
//Parte 5 (bonus)
PipeSerial fifthSerial = new PipeSerial(new FilterBlurConvolution(), //Aplico filtro de convolución
new PipeSerial(new FilterSave(), //Guardo la imagen con el filtro aplicada
new PipeSerial(new FilterTwitter(), //subo la misma a twitter
new PipeNull())));
fifthSerial.Send(pic); //envío la pic por la serie de pipes de la quinta parte del ejercicio
}
static void Main(string[] args)
{
PictureProvider pictureProvider = new PictureProvider();
IPicture firstPicture = pictureProvider.GetPicture("perro foto.jpg");
IPicture resultPicture = new PipeSerial(new FilterGreyscale(), new PipeSerial(
new FilterSaveImage(), new PipeSerial(new FilterNegative(), new PipeNull()))
).Send(firstPicture);
pictureProvider.SavePicture(resultPicture, "perro foto final.jpg");
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("matrix.png");
FilterGreyscale filterGreyscale = new FilterGreyscale();
FilterNegative filterNegative = new FilterNegative();
FilterPostTwitter filterPostTwitter = new FilterPostTwitter();
PipeNull pipeNull = new PipeNull();
PipeConditional pipeSerialConditional = new PipeConditional(filterPostTwitter, filterNegative, pipeNull);
pic = pipeSerialConditional.Send(pic);
Persist(pic, "imagenFiltrada.jpg");
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("..\\..\\ImagenPruebas.jpg");
IFilter filter = new FilterGreyscale();
IFilter filterDos = new FilterNegative();
IPipe isnull = new PipeNull();
IPipe serialDos = new PipeSerial(filterDos, isnull);
IPipe serial = new PipeSerial(filter, serialDos);
IPicture pic2 = serial.Send(pic);
IPicture pic3 = serialDos.Send(pic2);
p.SavePicture(pic2, "..\\..\\ImagenPruebas1.jpg");
p.SavePicture(pic3, "..\\..\\ImagenPruebas2.jpg");
}
static void Main(string[] args)
{
PictureProvider pictureProvider = new PictureProvider();
IPicture picOrig = pictureProvider.GetPicture("jac.jpg");
FilterNegative negative = new FilterNegative();
//https://twitter.com/POOUCU?lang=en&lang=en
FilterTwitterPublish twitterPublish = new FilterTwitterPublish();
FilterCognitive faceRecog = new FilterCognitive();
IConvolutionMatrix matrix = new BlurConvolutionMatrix();
FilterConvolution blurConvo = new FilterConvolution(matrix);
PipeNull pipeEnd = new PipeNull();
//PipeSerial pipe32 = new PipeSerial(negative,pipeEnd);
PipeSerial pipe22 = new PipeSerial(negative, pipeEnd);
PipeSerial pipe21 = new PipeSerial(twitterPublish, pipeEnd);
PipeConditional pipe1 = new PipeConditional(faceRecog, pipe21, pipe22);
pictureProvider.SavePicture(pipe1.Send(picOrig), "jacFiltrado.jpg");
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture(@"./../../images/bill.jpg");
var blur = new FilterBlurConvolution();
var grey = new FilterGreyscale();
var negative = new FilterNegative();
var invento = new FilterInvento();
var saving = FilterSave.Instance;
var pipe1 = new PipeSerial(saving, new PipeNull());
var pipe2 = new PipeSerial(grey, pipe1);
var twitt = new PipeSerial(new FilterTwitter(), pipe2);
var pipe3 = new PipeSerial(saving, twitt);
var pipe4 = new PipeSerial(negative, pipe3);
pipe4.Send(pic);
// var fork = new PipeFork(prueba2, prueba1);
}
static void Main(string[] args)
{
PictureProvider imgProvider = new PictureProvider();
IPicture pictureProv = imgProvider.GetPicture("Vikings.jpg");
IConvolution matrix = new BlurConvolutionMatriz();
FilterConvolution blurFilter = new FilterConvolution(matrix);
FilterNegative negativeFilter = new FilterNegative();
FilterTwitter twitterFilter = new FilterTwitter();
FilterCognitive faceRecognition = new FilterCognitive();
PipeNull pipeEnd = new PipeNull();
PipeSerial pipeTwitter = new PipeSerial(twitterFilter, pipeEnd);
PipeSerial pipeBlur = new PipeSerial(blurFilter, pipeEnd);
PipeSerial pipeNegative = new PipeSerial(negativeFilter, pipeEnd);
PipeConditional pipeFace = new PipeConditional(faceRecognition, pipeTwitter, pipeNegative);
imgProvider.SavePicture(pipeFace.Send(pictureProv), "Vikings.jpg");
}
static void Main(string[] args)
{
string Shrek = @"..\..\SmilingShrek.jpg";
string NewShrek = @"..\..\" + Guid.NewGuid().ToString() + ".jpg";
string NewShrek2 = @"..\..\" + Guid.NewGuid().ToString() + ".jpg";
string NewShrek3 = @"..\..\" + Guid.NewGuid().ToString() + ".jpg";
string NewShrek4 = @"..\..\" + Guid.NewGuid().ToString() + ".jpg";
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture(Shrek);
// Conjunto de filtros a utilizar en las 5 partes
IFilter GrayFilter = new FilterGreyscale();
IFilter NegativeFilter = new FilterNegative();
IFilter Save = new FilterSaver(NewShrek);
IFilter Tweet1 = new FilterTwitterPublish("Shrek is love, Shrek is life.", NewShrek);
IFilter Tweet2 = new FilterTwitterPublish("Shrek is love, Shrek is life.", NewShrek2);
IFilter Tweet3 = new FilterTwitterPublish("Shrek is love, Shrek is life.", NewShrek3);
IFilter Tweet4 = new FilterTwitterPublish("Shrek is love, Shrek is life.", NewShrek4);
IConditionFilter FaceCondition = new FilterSearchFace(Shrek);
FilterBlurConvolution LightBlur = new FilterBlurConvolution();
//PipeNull
IPipe NullPipe = new PipeNull();
// Parte1
PipeSerial pipe2 = new PipeSerial(NegativeFilter, NullPipe);
IPipe pipe1 = new PipeSerial(GrayFilter, pipe2);
pipe1.Send(pic);
// Parte 2 (guardar una copia de la imagen cada vez que se le aplica un filtro)
IPipe FourthPipe2 = new PipeSerial(Save, NullPipe);
IPipe ThirdPipe2 = new PipeSerial(NegativeFilter, FourthPipe2);
IPipe SecondPipe2 = new PipeSerial(Save, ThirdPipe2);
IPipe InitialPipe2 = new PipeSerial(GrayFilter, SecondPipe2);
InitialPipe2.Send(pic);
// Parte 3
IPipe FifthPipe3 = new PipeSerial(Tweet2, NullPipe);
IPipe FourthPipe3 = new PipeSerial(Save, FifthPipe3);
IPipe ThirdPipe3 = new PipeSerial(NegativeFilter, FourthPipe3);
IPipe SecondPipe3 = new PipeSerial(Save, ThirdPipe3);
IPipe InitialPipe3 = new PipeSerial(GrayFilter, SecondPipe3);
InitialPipe3.Send(pic);
// Parte 4
IPipe SerialTweet4 = new PipeSerial(Tweet3, NullPipe);
IPipe SerialSave = new PipeSerial(Save, NullPipe);
IPipe PipeFork4 = new PipeFork(SerialTweet4, SerialSave, FaceCondition.condition);
IPipe InitialPipe4 = new PipeSerial(GrayFilter, PipeFork4);
InitialPipe4.Send(pic);
// Parte 5
IPipe ThirdPipe5 = new PipeSerial(Tweet4, NullPipe);
IPipe SecondPipe5 = new PipeSerial(Save, ThirdPipe5);
IPipe InitialPipe5 = new PipeSerial(LightBlur, SecondPipe5);
InitialPipe5.Send(pic);
}
static void Main(string[] args)
{
// Se obtiene la imagen.
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture(@"download.jpg");
// Se crean los filtros que se van a utilizar.
FilterGreyscale filterGreyscale = new FilterGreyscale();
FilterNegative filterNegative = new FilterNegative();
FilterSaveImage filterSaveImage = new FilterSaveImage();
FilterTwitterApi filterTwitterApi = new FilterTwitterApi();
FilterHasFace filterHasFace = new FilterHasFace();
// Parte 1
/*
* PipeNull pipeNull = new PipeNull();
* PipeSerial pipeFilterNegative = new PipeSerial(filterNegative, pipeNull);
* PipeSerial pipeFilterGreyScale = new PipeSerial(filterGreyscale, pipeFilterNegative);
* pipeFilterGreyScale.Send(pic);*/
// Parte 2
/*
* PipeNull pipeNull = new PipeNull();
* PipeSerial pipeFilterSaveImageTwo = new PipeSerial(filterSaveImage, pipeNull);
* PipeSerial pipeFilterNegative = new PipeSerial(filterNegative, pipeFilterSaveImageTwo);
* PipeSerial pipeFilterSaveImageOne = new PipeSerial(filterSaveImage, pipeFilterNegative);
* PipeSerial pipeFilterGreyScale = new PipeSerial(filterGreyscale, pipeFilterSaveImageOne);
* pipeFilterGreyScale.Send(pic);*/
// Parte 3
/*
* PipeNull pipeNull = new PipeNull();
* PipeSerial pipeTwitterApiTwo = new PipeSerial(filterTwitterApi, pipeNull);
* PipeSerial pipeFilterSaveImageTwo = new PipeSerial(filterSaveImage, pipeTwitterApiTwo);
* PipeSerial pipeFilterNegative = new PipeSerial(filterNegative, pipeFilterSaveImageTwo);
* PipeSerial pipeTwitterApi = new PipeSerial(filterTwitterApi, pipeFilterNegative);
* PipeSerial pipeFilterSaveImageOne = new PipeSerial(filterSaveImage, pipeTwitterApi);
* PipeSerial pipeFilterGreyScale = new PipeSerial(filterGreyscale, pipeFilterSaveImageOne);
* pipeFilterGreyScale.Send(pic);*/
// Parte 4.
/*
* PipeNull pipeNull = new PipeNull();
* PipeSerial pipeFilterSaveImageTwo = new PipeSerial(filterSaveImage, pipeNull);
* PipeSerial pipeFilterNegative = new PipeSerial(filterNegative, pipeFilterSaveImageTwo);
* PipeSerial pipeTwitterApi = new PipeSerial(filterTwitterApi, pipeNull);
* PipeFork pipeConditionalFork = new PipeFork(pipeFilterNegative, pipeTwitterApi);
* PipeSerial pipeFilterHasFace = new PipeSerial(filterHasFace, pipeConditionalFork);
* PipeSerial pipeFilterSaveImageOne = new PipeSerial(filterSaveImage, pipeFilterHasFace);
* PipeSerial pipeFilterGreyScale = new PipeSerial(filterGreyscale, pipeFilterSaveImageOne);
* pipeFilterGreyScale.Send(pic);*/
pic = p.GetPicture(@"Imagen2.jpg");
//Filtro FilterBlackAndWhite
PipeNull pipeNull = new PipeNull();
FilterSaveImage2 filterSaveImage2 = new FilterSaveImage2();
PipeSerial pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterBlackAndWhite filterBAndW = new FilterBlackAndWhite(20);
PipeSerial pipeFilterBAndW = new PipeSerial(filterBAndW, pipeFilterSaveImage2);
pipeFilterBAndW.Send(pic.Clone());
//Filtro FilterClearOut
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterClearOut filterClearOut = new FilterClearOut();
PipeSerial pipeFilterClearOut = new PipeSerial(filterClearOut, pipeFilterSaveImage2);
pipeFilterClearOut.Send(pic.Clone());
//Filtro FilterColoredLines
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterColoredLines filterColoredLines = new FilterColoredLines();
PipeSerial pipeFilterColoredLines = new PipeSerial(filterColoredLines, pipeFilterSaveImage2);
pipeFilterColoredLines.Send(pic.Clone());
//Filtro FilterDarken
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterDarken filterDarken = new FilterDarken();
PipeSerial pipeFilterDarken = new PipeSerial(filterDarken, pipeFilterSaveImage2);
pipeFilterDarken.Send(pic.Clone());
//Filtro FilterNeon
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterNeon filterNeon = new FilterNeon();
PipeSerial pipeFilterNeon = new PipeSerial(filterNeon, pipeFilterSaveImage2);
pipeFilterNeon.Send(pic.Clone());
//Filtro FilterPencil
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterPencil filterPencil = new FilterPencil();
PipeSerial pipeFilterPencil = new PipeSerial(filterPencil, pipeFilterSaveImage2);
pipeFilterPencil.Send(pic.Clone());
//Filtro FilterRelief
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterRelief filterRelief = new FilterRelief();
PipeSerial pipeFilterRelief = new PipeSerial(filterRelief, pipeFilterSaveImage2);
pipeFilterRelief.Send(pic.Clone());
//Filtro FilterGreyScale
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterGreyscale filterGreyScale = new FilterGreyscale();
PipeSerial pipeFilterGreyscale = new PipeSerial(filterGreyScale, pipeFilterSaveImage2);
pipeFilterGreyscale.Send(pic.Clone());
//Filtro BlurConvolution
pipeNull = new PipeNull();
pipeFilterSaveImage2 = new PipeSerial(filterSaveImage2, pipeNull);
FilterBlurConvolution filterBlurConvolution = new FilterBlurConvolution();
PipeSerial pipeFilterBlurConvolution = new PipeSerial(filterBlurConvolution, pipeFilterSaveImage2);
pipeFilterBlurConvolution.Send(pic.Clone());
}
static void Main(string[] args)
{
//Ejercicio1
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("..\\Adds\\índice.jpg");
IPipe thirdpipe = new PipeNull();
IPipe secondpipe = new PipeSerial(new FilterNegative(), thirdpipe);
IPipe firstpipe = new PipeSerial(new FilterGreyscale(), secondpipe);
p.SavePicture(firstpipe.Send(pic), "..\\Adds\\Ejercicio1.jpg");
//Ejercicio2
PictureProvider p1 = new PictureProvider();
IPicture pic1 = p1.GetPicture("..\\Adds\\índice.jpg");
IPipe fifthpipe1 = new PipeNull();
IPipe fourthpipe1 = new PipeSerial(new FilterSave(), fifthpipe1);
IPipe thirdpipe1 = new PipeSerial(new FilterNegative(), fourthpipe1);
IPipe secondpipe1 = new PipeSerial(new FilterSave(), thirdpipe1);
IPipe firstpipe1 = new PipeSerial(new FilterGreyscale(), secondpipe1);
firstpipe1.Send(pic1);
//Ejercicio3
PictureProvider p2 = new PictureProvider();
IPicture pic2 = p2.GetPicture("..\\Adds\\índice.jpg");
IPipe fifthpipe2 = new PipeNull();
IPipe fourthpipe2 = new PipeSerial(new FilterTwitter(), fifthpipe2);
IPipe thirdpipe2 = new PipeSerial(new FilterNegative(), fourthpipe2);
IPipe secondpipe2 = new PipeSerial(new FilterTwitter(), thirdpipe2);
IPipe firstpipe2 = new PipeSerial(new FilterGreyscale(), secondpipe2);
firstpipe2.Send(pic2);
//Ejercicio4
PictureProvider p3 = new PictureProvider();
PictureProvider p4 = new PictureProvider();
IPicture pic3 = p3.GetPicture("..\\Adds\\índice.jpg");
IPicture pic4 = p4.GetPicture("..\\Adds\\Auto.jpg");
IPipe fifthpipe3 = new PipeNull();
IPipe fourthpipe3 = new PipeSerial(new FilterNegative(), fifthpipe3);
IPipe thirdpipe3 = new PipeSerial(new FilterTwitter(), fifthpipe3);
IPipe secondpipe3 = new PipeConditionalFork(new FilterConditional(), thirdpipe3, fourthpipe3);
IPipe firstpipe3 = new PipeSerial(new FilterGreyscale(), secondpipe3);
firstpipe3.Send(pic3);
p4.SavePicture(firstpipe.Send(pic4), "..\\Adds\\auto2.jpg");
//Ejercicio5
PictureProvider p5 = new PictureProvider();
IPicture pic5 = p5.GetPicture("..\\Adds\\índice.jpg");
IPipe secondpipe5 = new PipeNull();
IPipe firstpipe5 = new PipeSerial(new FilterRandomConvolution(), secondpipe5);
p5.SavePicture(firstpipe5.Send(pic5), "..\\Adds\\Ejercicio5.jpg");
}
static void Main(string[] args)
{
IFilter Greyscale = new FilterGreyscale();
IFilter Negative = new FilterNegative();
IFilter Twitter = new FilterTwitter();
IFilter Save = new FilterSave();
IFilter Sharpen = new FilterSharpenConvolution();
IFilterBool HasFace = new FilterFace();
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("..\\Images\\image.jpg");
/// <summary>
/// Las clases Pipe que aplican algún filtro a la imagen delegan la responsabilidad de modificar
/// la imagen a la clase Filter que la compone.
/// </summary>
/// <returns></returns>
#region Ejercicio 1
IPipe Pipe1_3 = new PipeNull();
IPipe Pipe1_2 = new PipeSerial(Negative, Pipe1_3);
IPipe Pipe1_1 = new PipeSerial(Greyscale, Pipe1_2);
Pipe1_1.Send(pic);
#endregion
#region Ejercicio 2
IPipe Pipe2_5 = new PipeNull();
IPipe Pipe2_4 = new PipeSerial(Save, Pipe2_5);
IPipe Pipe2_3 = new PipeSerial(Negative, Pipe2_4);
IPipe Pipe2_2 = new PipeSerial(Save, Pipe2_3);
IPipe Pipe2_1 = new PipeSerial(Greyscale, Pipe2_2);
Pipe2_1.Send(pic);
#endregion
#region Ejercicio 3
IPipe Pipe3_5 = new PipeNull();
IPipe Pipe3_4 = new PipeSerial(Twitter, Pipe2_5);
IPipe Pipe3_3 = new PipeSerial(Negative, Pipe2_4);
IPipe Pipe3_2 = new PipeSerial(Twitter, Pipe2_3);
IPipe Pipe3_1 = new PipeSerial(Greyscale, Pipe2_2);
Pipe3_1.Send(pic);
#endregion
#region Ejercicio 4
IPipe Pipe4_5 = new PipeNull();
IPipe Pipe4_4 = new PipeSerial(Negative, Pipe4_5);
IPipe Pipe4_3 = new PipeSerial(Twitter, Pipe4_5);
IPipe Pipe4_2 = new PipeConditionalFork(Pipe4_3, Pipe4_4, HasFace);
IPipe Pipe4_1 = new PipeSerial(Greyscale, Pipe4_2);
Pipe4_1.Send(pic);
#endregion
#region Ejercicio Bonus
IPipe PipeBonus_3 = new PipeNull();
IPipe PipeBonus_2 = new PipeSerial(Save, PipeBonus_3);
IPipe PipeBonus_1 = new PipeSerial(Sharpen, PipeBonus_2);
PipeBonus_1.Send(pic);
#endregion
}
static void Main(string[] args)
{
PictureProvider p = new PictureProvider();
IPicture pic = p.GetPicture("../faceImage.jpg");
IFilter filterGreyscale = new FilterGreyscale();
IFilter filterNegative = new FilterNegative();
IFilter filterProvider = new FilterProvider();
IFilter filterTwiter = new FilterTwitter();
IFilter filterConditional = new FilterConditional();
IFilter filterBlurConvolution = new FilterBlurConvolution();
IFilter filterSharpenConvolution = new FilterSharpenConvolution();
//EJERCICIO 1
IPipe pipeNull_ej1 = new PipeNull();
IPipe pipeSerial2_ej1 = new PipeSerial(filterNegative, pipeNull_ej1);
IPipe pipeSerial1_ej1 = new PipeSerial(filterGreyscale, pipeSerial2_ej1);
pipeSerial1_ej1.Send(pic);
//EJERCICIO 2
IPipe pipeNull_ej2 = new PipeNull();
IPipe pipeProvider2_ej2 = new PipeSerial(filterProvider, pipeNull_ej2);
IPipe pipeSerial2_ej2 = new PipeSerial(filterNegative, pipeProvider2_ej2);
IPipe pipeProvider1_ej2 = new PipeSerial(filterProvider, pipeSerial2_ej2);
IPipe pipeSerial1_ej2 = new PipeSerial(filterGreyscale, pipeProvider1_ej2);
pipeSerial1_ej2.Send(pic);
//EJERCICIO 3
IPipe pipeNull_ej3 = new PipeNull();
IPipe pipeTwiter2_ej3 = new PipeSerial(filterTwiter, pipeNull_ej3);
IPipe pipeProvider2_ej3 = new PipeSerial(filterProvider, pipeTwiter2_ej3);
IPipe pipeSerial2_ej3 = new PipeSerial(filterNegative, pipeProvider2_ej3);
IPipe pipeTwiter1_ej3 = new PipeSerial(filterTwiter, pipeSerial2_ej3);
IPipe pipeProvider1_ej3 = new PipeSerial(filterProvider, pipeTwiter1_ej3);
IPipe pipeSerial1_ej3 = new PipeSerial(filterGreyscale, pipeProvider1_ej3);
pipeSerial1_ej3.Send(pic);
//EJERCICIO 4
IPipe pipeNull_ej4 = new PipeNull();
IPipe pipeProvider2_ej4 = new PipeSerial(filterProvider, pipeNull_ej4);
IPipe pipeSerial2_ej4 = new PipeSerial(filterNegative, pipeProvider2_ej4);
IPipe pipeTwiter1_ej4 = new PipeSerial(filterTwiter, pipeNull_ej4);
IPipe pipeConditionalFork1_ej4 = new PipeConditionalFork(filterConditional, pipeTwiter1_ej4, pipeSerial2_ej4);
IPipe pipeProvider1_ej4 = new PipeSerial(filterProvider, pipeConditionalFork1_ej4);
IPipe pipeSerial1_ej4 = new PipeSerial(filterGreyscale, pipeProvider1_ej4);
pipeSerial1_ej4.Send(pic);
//EJERCICIO BONUS
IPipe pipeNull_ejB = new PipeNull();
IPipe pipeProvider2_ejB = new PipeSerial(filterProvider, pipeNull_ejB);
IPipe pipeSerial2_ejB = new PipeSerial(filterSharpenConvolution, pipeProvider2_ejB);
IPipe pipeProvider1_ejB = new PipeSerial(filterProvider, pipeSerial2_ejB);
IPipe pipeSerial1_ejB = new PipeSerial(filterBlurConvolution, pipeProvider1_ejB);
pipeSerial1_ejB.Send(pic);
}