public Analysis(List <Data.Point> points, IMathematical core3x3, IMathematical core5x5, IMathematical core7x7)
{
pointAnalysis = points;
matematical3x3 = core3x3;
matematical5x5 = core5x5;
matematical7x7 = core7x7;
gradients3x3 = new Dictionary <Point, List <double> >();
gradients5x5 = new Dictionary <Point, List <double> >();
gradients7x7 = new Dictionary <Point, List <double> >();
foreach (var point in pointAnalysis)
{
gradients3x3.Add(point, new List <double>());
gradients5x5.Add(point, new List <double>());
gradients7x7.Add(point, new List <double>());
}
}
public Analysis(List <Data.Point> points)
{
pointAnalysis = points;
matematical3x3 = new MathematicialSearchPoint1();
matematical5x5 = new MathematicialSearchPoint8();
matematical7x7 = new MathematicialSearchPoint9();
gradients3x3 = new Dictionary <Point, List <double> >();
gradients5x5 = new Dictionary <Point, List <double> >();
gradients7x7 = new Dictionary <Point, List <double> >();
foreach (var point in pointAnalysis)
{
gradients3x3.Add(point, new List <double>());
gradients5x5.Add(point, new List <double>());
gradients7x7.Add(point, new List <double>());
}
}
public void clarifySolution(Data.Image image, List <IMathematical> coreGoodPoint, List <Data.Point> goodPoint)
{
if (swingSharpness == null)
{
swingSharpness = new double[image.width(), image.height()];
/* for (int x = 0; x < image.width(); x++)
* for (int y = 0; y < image.height(); y++)
* swingSharpness[x, y] = 0;*/
width = image.width();
height = image.height();
}
List <Data.Point> listPoint = new List <Data.Point>();
Bitmap curentImage = image.image;
curentImage = changeImage.translateToMonochrome(curentImage);
HashSet <IMathematical> set = new HashSet <IMathematical>(coreGoodPoint);
foreach (var i in set)
{
i.setImage(curentImage);
}
for (int i = 0; i < goodPoint.Count; i++)
{
int x = goodPoint[i].x;
int y = goodPoint[i].y;
matematical = set.First(item => item.GetType() == coreGoodPoint[i].GetType());
double gradient = matematical.gradientAtPoint(x, y);
if (gradient > swingSharpness[x, y])
{
listPoint.Add(new Data.Point(x, y));
swingSharpness[x, y] = gradient;
}
}
solution.setValue(listPoint, image);
}
public SparseElimination(IMathematical strategia)
{
changeImage = new ChangeImage();
matematical = strategia;
swingSharpness = null;
}
public SparseElimination()
{
changeImage = new ChangeImage();
matematical = new MathematicialSearchPoint13();
swingSharpness = null;
}
static void Main(string[] args)
{
IParser parser = new Parser();
ICalculated calculated;
IPreserveOBJ preserveOBJ = new PreserveOBJ();
IPreservePNG preservePNG = new PreservePNG();
IElimination elimination;
IAnalysis analysis;
Setting setting = null;
INIManager manager;
List <string> filesImagesname;
string pathFolder;
string pathConfig;
string pathSetting;
string saveFolder;
if (args.Length == 0)
{
Console.WriteLine("usage: Get3DModel.exe <path to folder>"); Environment.Exit(-1);
}
pathFolder = args[0];
pathSetting = pathFolder + "\\setting.ini";
manager = new INIManager(pathSetting);
string[] separators = { "\\" };
string[] words = pathFolder.Split(separators, StringSplitOptions.RemoveEmptyEntries);
saveFolder = words[0];
for (int i = 1; i < words.Length - 1; i++)
{
saveFolder = saveFolder + "\\" + words[i];
}
saveFolder = saveFolder + "\\Resulst_" + words[words.Length - 1];
Directory.CreateDirectory(saveFolder);
StreamWriter timeTxt = new StreamWriter(saveFolder + "\\time.txt");
string[] listFileFolder = Directory.GetDirectories(pathFolder);
foreach (string folder in listFileFolder)
{
FileInfo fileInfFolder = new FileInfo(folder);
string nameFolder = fileInfFolder.Name;
string saveFolderCurrent = saveFolder + "\\" + nameFolder;
Directory.CreateDirectory(saveFolderCurrent);
filesImagesname = Directory.GetFiles(folder, "*.png").ToList <string>();
pathConfig = Directory.GetFiles(folder).ToList().First(
x => x.EndsWith(".camera") || x.EndsWith(".ini") || x.EndsWith("ConfigurationFile.txt"));
FileInfo fileInf = new FileInfo(pathConfig);
if (fileInf.Exists)
{
setting = new Setting(pathConfig);
}
else
{
Console.WriteLine("the configuration file is not found");
Environment.Exit(-1);
}
Stopwatch timeForParsing = new Stopwatch();
timeForParsing.Restart();
string nameCoreElimination = manager.GetPrivateString("ELIMINATION", "core");
IMathematical coreElimination = getMathematical(nameCoreElimination);
if (coreElimination != null)
{
string thresholdElimination = manager.GetPrivateString("ELIMINATION", "threshold");
if (thresholdElimination != "default")
{
double deltaTheshold = Convert.ToDouble(thresholdElimination);
coreElimination.setDeltaThreshold(deltaTheshold);
}
elimination = new Elimination(coreElimination);
}
else
{
elimination = new Elimination();
}
for (int i = 0; i < filesImagesname.Count; i++)
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
Data.Image itemImage = new Data.Image(filesImagesname[i]);
elimination.calculateGradientImage(itemImage);
}
List <Data.Point> goodPoint = elimination.getSolution();
string boolSelectionCore = manager.GetPrivateString("SELECTION_CORE", "selection_core");
if (boolSelectionCore == "true")
{
string nameCore3x3 = manager.GetPrivateString("CORE", "3_core");
IMathematical core3x3 = getMathematical(nameCore3x3);
if (core3x3 == null)
{
core3x3 = new MathematicialSearchPoint1();
}
string nameCore5x5 = manager.GetPrivateString("CORE", "5_core");
IMathematical core5x5 = getMathematical(nameCore5x5);
if (core5x5 == null)
{
core5x5 = new MathematicialSearchPoint8();
}
string nameCore7x7 = manager.GetPrivateString("CORE", "7_core");
IMathematical core7x7 = getMathematical(nameCore5x5);
if (core7x7 == null)
{
core7x7 = new MathematicialSearchPoint9();
}
analysis = new Analysis(goodPoint, core3x3, core5x5, core7x7);
for (int i = 0; i < filesImagesname.Count; i++)
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
Data.Image itemImage = new Data.Image(filesImagesname[i]);
analysis.addImageAnalysis(itemImage);
}
List <IMathematical> coreGoodPoint = analysis.getCore();
calculated = new Calculated();
calculated.createdBeginSolution();
for (int i = 0; i < filesImagesname.Count; i++)
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
Data.Image itemImage = new Data.Image(filesImagesname[i]);
calculated.clarifySolution(itemImage, coreGoodPoint, goodPoint);
}
}
else
{
string nameCore = manager.GetPrivateString("SELECTION_CORE", "default_core");
IMathematical core = getMathematical(nameCore);
if (core == null)
{
core = new MathematicialSearchPoint1();
}
calculated = new Calculated(core);
calculated.createdBeginSolution();
for (int i = 0; i < filesImagesname.Count; i++)
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
Data.Image itemImage = new Data.Image(filesImagesname[i]);
calculated.clarifySolution(itemImage, goodPoint);
}
}
Solution solution = calculated.getSolution();
timeForParsing.Stop();
timeTxt.WriteLine(nameFolder + " - " + timeForParsing.ElapsedMilliseconds + " timeForParsing");
preserveOBJ.saveOBJ(solution, setting, saveFolderCurrent);
preservePNG.savePNG(solution, saveFolderCurrent);
saveDat(solution.Map, saveFolderCurrent);
}
timeTxt.Close();
}
public Calculated(IMathematical stategia)
{
changeImage = new ChangeImage();
matematical = stategia;
}
//double thresholdDelta;
public Calculated()
{
changeImage = new ChangeImage();
matematical = new MathematicalDefault();
}
public MathematicalController(CalculatorDbContext dbContext, ILogger <MathematicalController> logger, IMathematical mathematical)
{
_dbContext = dbContext;
_logger = logger;
_mathematical = mathematical;
}
