public void gradientAtPoint10_IntPoint_Test() //Проверка градиента внутренней точки
{
//arrange
IParser parser = new Parser();
Bitmap img = parser.readPNG("Data\\sample_10.png");
MathematicialSearchPoint core = new MathematicialSearchPoint8();
core.setImage(img);
double[,] X = new double[5, 5];
for (int i = 600; i < 605; i++)
{
for (int j = 600; j < 605; j++)
{
X[i - 600, j - 600] = img.GetPixel(i, j).B; //Матрица окружения точки (602,602)
}
}
double gradX = 0;
double gradY = 0;
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
gradX += X[i, j] * core.XMatrix[j, i];
gradY += X[i, j] * core.YMatrix[j, i];
}
}
//act
double exepected = (gradX + gradY) / 2;
double actual = core.gradientAtPoint(602, 602);
//assert
Assert.AreEqual(exepected, actual);
}
public void MathematicialSearchPoint_8Test() //Проверка ядер свертки
{
//arrange
MathematicialSearchPoint core = new MathematicialSearchPoint8();
//act
double[,] exepectedGx = new double[, ] {
{ 0, 0, 1, 0, 0 }, { 0, 0, 2, 0, 0 }, { 1, 2, -12, 2, 1 }, { 0, 0, 2, 0, 0 }, { 0, 0, 1, 0, 0 }
};
double[,] exepectedGy = new double[, ] {
{ 1, 0, 0, 0, 1 }, { 0, 2, 0, 2, 0 }, { 0, 0, -12, 0, 0 }, { 0, 2, 0, 2, 0 }, { 1, 0, 0, 0, 1 }
};
double[,] actualGx = core.XMatrix;
double[,] actualGy = core.YMatrix;
//assert
Debug.WriteLine("Проверка ядер свертки Gx и Gy");
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
Assert.AreEqual(exepectedGx[i, j], actualGx[i, j]);
Assert.AreEqual(exepectedGy[i, j], actualGy[i, j]);
}
}
}
public void gradientAtPoint8_CornerPoint_Test() //Проверка градиента угловой точки
{
//arrange
IParser parser = new Parser();
Bitmap img = parser.readPNG("Data\\sample_10.png");
//Blue[i, j] = 0.3 * img.GetPixel(i, j).R + 0.59 * img.GetPixel(i, j).G + 0.11 * img.GetPixel(i, j).B; //Заполнение монохромного изображения
MathematicialSearchPoint core = new MathematicialSearchPoint8();
core.setImage(img);
double[,] X = new double[5, 5];
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
X[i, j] = 0;
}
}
for (int i = 2; i < 5; i++)
{
for (int j = 2; j < 5; j++)
{
X[i, j] = img.GetPixel(i - 2, j - 2).B; //Матрица окружения точки (0,0)
}
}
double gradX = 0;
double gradY = 0;
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
gradX += X[i, j] * core.XMatrix[j, i];
gradY += X[i, j] * core.YMatrix[j, i];
}
}
//act
double exepected = (gradX + gradY) / 2;
double actual = core.gradientAtPoint(0, 0);
//assert
Assert.AreEqual(exepected, actual);
}
public void gradientAtPoint8_BoundaryPoint_Test() //Проверка градиента граничной точки
{
//arrange
IParser parser = new Parser();
Bitmap img = parser.readPNG("Data\\sample_10.png");; //Заполнение монохромного изображения
MathematicialSearchPoint core = new MathematicialSearchPoint8();
core.setImage(img);
double[,] X = new double[5, 5];
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
X[i, j] = 0;
}
}
for (int i = 797; i < 800; i++)
{
for (int j = 1; j < 6; j++)
{
X[i - 797, j - 1] = img.GetPixel(i, j).B; //Матрица окружения точки (799,3)
}
}
double gradX = 0;
double gradY = 0;
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
gradX += X[i, j] * core.XMatrix[j, i];
gradY += X[i, j] * core.YMatrix[j, i];
}
}
//act
double exepected = (gradX + gradY) / 2;
double actual = core.gradientAtPoint(799, 3);
//assert
Assert.AreEqual(exepected, actual);
}
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();
}
