static void Main()
{
long noOfPaths = MyAlgorithms.CountPaths(21, 21);
Console.WriteLine(noOfPaths);
Console.ReadKey();
}
public void Linear_Exception()
{
double a = -5;
double c = 3;
double delta = 0.07;
double actual = MyAlgorithms.Linear(a, c);
}
public void CycleTest()
{
double[] mas = new double[] { 2, 3, 4, 5, 6, 7 };
double expect = 30379;
double actual = MyAlgorithms.Cyclic(mas);
Assert.AreEqual(expect, actual);
}
public void Linear_5and3_12returned()
{
double a = 5;
double c = 3;
double delta = 0.07;
double expected = 12.2857142;
double actual = MyAlgorithms.Linear(a, c);
Assert.AreEqual(expected, actual, delta);
}
private void Test()
{
var SourceImage = new Image <Bgr, byte>(@"C:\Temp\bc2.jpg");
MyAlgorithms myA = new MyAlgorithms(SourceImage);
Image <Gray, byte> imageGray = myA.MakeGray();
//pictureBox1.Image = SourceImage.ToBitmap();
pbSourceImage.Image = SourceImage.ToBitmap();
pbPrcessedImageStep1.Image = myA.Pixelize(myA.Contours(imageGray)).ToBitmap();
}
public void Branched_1_2_3_4()
{
double x = 1;
double b = 2;
double c = 3;
double k = 4;
double expect = 9;
double actual = MyAlgorithms.Branched(x, b, c, k);
Assert.AreEqual(expect, actual);
}
public void RunFeature(string featureName)
{
switch (featureName)
{
case "Feature1": MyAlgorithms.AccessFeature1();
break;
case "Feature2": MyAlgorithms.AccessFeature2();
break;
case "Feature3": MyAlgorithms.AccessFeature3();
break;
default:
throw new ArgumentOutOfRangeException("featureName");
}
LastSuccessfulFeatureExecutionMessage = string.Format("{0} accessed successfully", featureName);
}
static void RunTest(int arrayLength)
{
var processTimes = new List <TimeSpan>();
var sw = new Stopwatch();
sw.Start();
for (var i = 0; i < 5; i++)
{
var arr = MyAlgorithms.CreateRandomDoubleArray(arrayLength, 0, 200);
MyAlgorithms.GetMax(arr);
processTimes.Add(sw.Elapsed);
sw.Restart();
}
sw.Stop();
GC.Collect();
GC.WaitForPendingFinalizers();
Console.WriteLine(processTimes.Average(x => x.TotalSeconds) + " - " + arrayLength);
}
void RunFeature2_Click(object sender, RoutedEventArgs e)
{
MyAlgorithms.AccessFeature2();
NotifyUser("Feature 2 accessed successfully");
}
private void btnTest_Click(object sender, EventArgs e)
{
//tbImageName.Text = @"\IKEA\20201107_190718.jpg";
//string imagePath = @"C:\Temp\" + tbImageName.Text;
//string imagePath = @"C:\temp\IKEA\sim.png";
//ip.SetImage(imagePath);
//var img = new Image<Bgr, byte>(@"C:\Temp\IKEA\sim.png");
var img1 = new Image <Bgr, byte>(@"C:\Temp\IKEA\20201107_190718.jpg");
var img = new MyAlgorithms().Contours(img1.Convert <Gray, byte>());
//img.ToBitmap().Save(@"C:\Temp\IKEA\Shape__.png", ImageFormat.Png);
var shape = new Image <Bgr, byte>(@"C:\temp\IKEA\shape_2.png");
VectorOfVectorOfDMatch matches = new VectorOfVectorOfDMatch();
Mat res = new Mat();
CvInvoke.MatchTemplate(img, shape, res, TemplateMatchingType.CcoeffNormed);
var img2 = res.ToImage <Gray, byte>();
var data = res.GetData();
double[] max = new double[3] {
0, 0, 0
};
for (int r = 0; r < res.Rows; r += 1)
{
for (int c = 0; c < res.Cols; c += 1)
{
if (Convert.ToDouble(data.GetValue(r, c)) > max[2])
{
max[0] = r;
max[1] = c;
max[2] = Convert.ToDouble(data.GetValue(r, c));
}
}
}
ip.DrawGreenFrame(img.Mat, new Rectangle(new Point((int)max[1], (int)max[0]), new Size(shape.Width, shape.Height)), 1);
//MyAlgorithms.FindMatch(shape.Mat, ip.SourceImage.Mat, out long matchTime, out VectorOfKeyPoint modelKeyPoints, out VectorOfKeyPoint observedKeyPoints, matches, out Mat mask, out Mat homography);
//List<MDMatch[]> good = new List<MDMatch[]>();
//List<MKeyPoint> points1 = new List<MKeyPoint>();
//int idx = 0;
//foreach (MDMatch[] m in matches.ToArrayOfArray())
//{
// if (m[0].Distance < 0.85 * m[1].Distance)
// {
// good.Add(m);
// points1.Add(observedKeyPoints[idx]);
// }
// idx++;
//}
//foreach (MKeyPoint p in points1)
//{
// ip.DrawGreenFrame(ip.SourceImage.Mat, new Rectangle(new Point((int)p.Point.X, (int)p.Point.Y), new Size(shape.Width, shape.Height)), 1);
// ip.DrawGreenFrame(ip.SourceImage.Mat, new Rectangle(new Point((int)p.Point.X, (int)p.Point.Y), new Size(shape.Width, shape.Height)), 1);
//}
DisplayImg(pbSourceImage, img.Mat);
DisplayImg(pbFinalPreviewImage, img.Mat);
}
