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");
}
public IPicture Filter(IPicture image)
{
PictureProvider foto = new PictureProvider();
foto.SavePicture(image, @"C:\Users\estudiante.fit\Documents\Semestre Dos\Programación 2\imagen.jpg");
this.sender.PublishToTwitter("By Fmestre", @"C:\Users\estudiante.fit\Documents\Semestre Dos\Programación 2\imagen.jpg");
return(image);
}
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 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 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");
}
public static void Persist(IPicture image, string pathToPersist)
{
PictureProvider provider = new PictureProvider();
provider.SavePicture(image, pathToPersist);
}
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");
}