public void calculateGradientImageTest() //Проверка подсчета градиентов на картинке
{
//arrange
IParser parser = new Parser();
Bitmap bitmap = parser.readPNG("Data\\sample_10.png");
IMathematical strat = new MathematicialSearchPoint1(); //Подсчет градиента первой стратегией
strat.setImage(bitmap);
Elimination elemenation = new Elimination(strat);
Data.Image img = new Data.Image("Data\\sample_10.png");
//act
elemenation.calculateGradientImage(img);
double[,] exepected = new double[img.width(), img.height()];
double[,] actual = elemenation.swingSharpness;
//assert
for (int i = 0; i < img.width(); i++)
{
for (int j = 0; j < img.height(); j++)
{
Assert.AreEqual(strat.gradientAtPoint(i, j), actual[i, j]);
}
}
}
public void getSolutionTest() //Проверка отсева (получения хороших точек)
{
//Хорошая точка-значение градиента больше порогового значения
//arrange
IMathematical strat = new MathematicialSearchPoint1();
Elimination elemenation = new Elimination(strat);
Data.Image img = new Data.Image("Data\\sample_10.png");
elemenation.calculateGradientImage(img); //Вычисление градиента
//act
double maxGradient = elemenation.swingSharpness[0, 0];
double minGradient = elemenation.swingSharpness[0, 0];
for (int i = 0; i < img.width(); i++) //Найти макс и мин
{
for (int j = 0; j < img.height(); j++)
{
maxGradient = Math.Max(maxGradient, elemenation.swingSharpness[i, j]);
minGradient = Math.Min(minGradient, elemenation.swingSharpness[i, j]);
}
}
double threshold = minGradient + ((maxGradient - minGradient) * 0.1); //порог
List <Data.Point> exepected = new List <Data.Point>();
for (int i = 0; i < img.width(); i++)
{
for (int j = 0; j < img.height(); j++)
{
if (elemenation.swingSharpness[i, j] >= threshold)
{
exepected.Add(new Data.Point(i, j));
}
}
}
List <Data.Point> actual = new List <Data.Point>();
actual = elemenation.getSolution();
//assert
Debug.WriteLine("Проверка количества точек");
Assert.AreEqual(actual.Count, exepected.Count);
Debug.WriteLine("Проверка самих точек");
int t = 0;
foreach (Data.Point p1 in exepected)
{
Assert.AreEqual(p1.x, actual[t].x);
Assert.AreEqual(p1.y, actual[t].y);
t++;
}
}
static void Main(string[] args)
{
IParser parser = new Parser();
ICalculated calculated = new Calculated(new MathematicialSearchPoint1());
IPreserveOBJ preserveOBJ = new PreserveOBJ();
IPreservePNG preservePNG = new PreservePNG();
IElimination elimination = new Elimination();
IAnalysis analysis;
Setting setting = null;
double delta = 0.0;
List <string> filesImagesname;
string pathFolder;
string pathConfig;
if (args.Length == 0)
{
Console.WriteLine("usage: Get3DModel.exe <path to folder>"); Environment.Exit(-1);
}
pathFolder = args[0];
filesImagesname = Directory.GetFiles(pathFolder, "*.png").ToList <string>();
if (args.Length > 1)
{
delta = Convert.ToDouble(args[1]);
}
pathConfig = Directory.GetFiles(pathFolder).ToList().First(
x => x.EndsWith(".camera"));
FileInfo fileInf = new FileInfo(pathConfig);
if (fileInf.Exists)
{
setting = new Setting(pathConfig);
Console.WriteLine("the verification of the optics configuration file completed successfully");
}
else
{
Console.WriteLine("the configuration file is not found");
Environment.Exit(-1);
}
Stopwatch timeForParsing = new Stopwatch();
for (int i = 0; i < filesImagesname.Count && i < 50; i++)
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
timeForParsing.Restart();
Data.Image itemImage = new Data.Image(filesImagesname[i]);
elimination.calculateGradientImage(itemImage);
timeForParsing.Stop();
Console.WriteLine(
string.Format("elimination of the {0} has finished\n\telapsed time: {1} milliseconds",
filesImagesname[i], timeForParsing.ElapsedMilliseconds));
GC.Collect();
}
List <Data.Point> goodPoint = elimination.getSolution();
analysis = new Analysis(goodPoint);
for (int i = 0; i < filesImagesname.Count; i++)
// Parallel.For(0, filesImagesname.Count, i =>
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
timeForParsing.Restart();
Data.Image itemImage = new Data.Image(filesImagesname[i]);
lock (analysis) analysis.addImageAnalysis(itemImage);
timeForParsing.Stop();
Console.WriteLine(
string.Format("analysing of the {0} has finished\n\telapsed time: {1} milliseconds",
filesImagesname[i], timeForParsing.ElapsedMilliseconds));
} //);
List <IMathematical> coreGoodPoint = analysis.getCore();
analysis = null;
elimination = null;
GC.Collect();
calculated.createdBeginSolution();
for (int i = 0; i < filesImagesname.Count; i++)
{
if (filesImagesname[i].EndsWith("sharpImage.png"))
{
continue;
}
timeForParsing.Restart();
Data.Image itemImage = new Data.Image(filesImagesname[i]);
calculated.clarifySolution(itemImage, coreGoodPoint, goodPoint);
timeForParsing.Stop();
Console.WriteLine(
string.Format("processing of the {0} has finished\n\telapsed time: {1} milliseconds",
filesImagesname[i], timeForParsing.ElapsedMilliseconds));
}
Solution solution = calculated.getSolution();
Console.WriteLine("saving data was started");
preserveOBJ.saveOBJ(solution, setting, pathFolder);
preservePNG.savePNG(solution, pathFolder);
}