public void RectangleTests()
        {
            int area      = 12;
            int perimeter = 14;

            Assert.AreEqual(area, Rec1.GetArea());
            Assert.AreEqual(perimeter, Rec1.GetPerimeter());

            area      = 20;
            perimeter = 18;

            Assert.AreEqual(area, Rec2.GetArea());
            Assert.AreEqual(perimeter, Rec2.GetPerimeter());

            area      = 50;
            perimeter = 30;

            Assert.AreEqual(area, Rec3.GetArea());
            Assert.AreEqual(perimeter, Rec3.GetPerimeter());

            area      = 24;
            perimeter = 20;

            Assert.AreEqual(area, Rec4.GetArea());
            Assert.AreEqual(perimeter, Rec4.GetPerimeter());

            area      = 63;
            perimeter = 32;

            Assert.AreEqual(area, Rec5.GetArea());
            Assert.AreEqual(perimeter, Rec5.GetPerimeter());
        }
Ejemplo n.º 2
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        public void HashMatchWithMultikeysAndProbeResidual()
        {
            Rec1[] records1 = new Rec1[]
            {
                new Rec1(1, 1),
                new Rec1(1, 2),
                new Rec1(2, 1),
                new Rec1(2, 2),
            };

            Rec1[] records2 = new Rec1[]
            {
                new Rec1(1, 2),
            };

            Query query = new Query();

            query.DataContext.Tables.Add(records1, "Records1");
            query.DataContext.Tables.Add(records2, "Records2");

            query.Text = @"
SELECT	*
FROM	Records2 r2, Records1 r1
WHERE	r1.Key = r2.Key
AND		r1.SecKey = r2.SecKey
";
            DataTable result = query.ExecuteDataTable();

            Assert.AreEqual(1, result.Rows.Count);
            Assert.AreEqual(1, result.Rows[0][0]);
            Assert.AreEqual(2, result.Rows[0][1]);
            Assert.AreEqual(1, result.Rows[0][2]);
            Assert.AreEqual(2, result.Rows[0][3]);
        }
Ejemplo n.º 3
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        public void ReccursionTest()
        {
            Rec1 rec = faker.Create <Rec1>();

            if (rec.A.B == null)
            {
                logger.Info("ReccursionTest compled succesfully: object are equal");
            }
            else
            {
                logger.Info("ReccursionTest compled not succesfully: object are't equal");
            }
            Assert.AreEqual(null, rec.A.B);
        }
Ejemplo n.º 4
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        public void RectangleTests()
        {
            int area      = 12;
            int perimeter = 14;

            Assert.AreEqual(area, Rec1.GetArea());
            Assert.AreEqual(perimeter, Rec1.GetPerimeter());

            area      = 20;
            perimeter = 18;

            Assert.AreEqual(area, Rec2.GetArea());
            Assert.AreEqual(perimeter, Rec2.GetPerimeter());
        }
Ejemplo n.º 5
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        public void ReccursionTest()
        {
            Rec1 rec = _faker.Create <Rec1>();

            object expected = null;
            var    actual   = rec.A.B;

            if (actual == expected)
            {
                _logger.Info($"ReccursionTest complete succesfully => {expected} == {actual}");
            }
            else
            {
                _logger.Info($"ReccursionTest complete not succesfully => {expected} != {actual}");
            }

            Assert.AreEqual(null, rec.A.B);
        }
Ejemplo n.º 6
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		public void HashMatchWithMultikeysAndProbeResidual()
		{
			Rec1[] records1 = new Rec1[]
				{
					new Rec1(1, 1),
					new Rec1(1, 2),
					new Rec1(2, 1),
					new Rec1(2, 2),
			};

			Rec1[] records2 = new Rec1[]
				{
					new Rec1(1, 2),
				};
			
			Query query = new Query();
			query.DataContext.Tables.Add(records1, "Records1");
			query.DataContext.Tables.Add(records2, "Records2");
			
			query.Text = @"
SELECT	*
FROM	Records2 r2, Records1 r1
WHERE	r1.Key = r2.Key
AND		r1.SecKey = r2.SecKey
";
			DataTable result = query.ExecuteDataTable();
			Assert.AreEqual(1, result.Rows.Count);
			Assert.AreEqual(1, result.Rows[0][0]);
			Assert.AreEqual(2, result.Rows[0][1]);
			Assert.AreEqual(1, result.Rows[0][2]);
			Assert.AreEqual(2, result.Rows[0][3]);
		}
Ejemplo n.º 7
0
        bool patternRightFound;       // True if chessboard found in image
        #endregion

        /**********************************************************
        * Calculates calibration transformatons and saves them.
        **********************************************************/
        public void Calibration()
        {
            string imagesPath = calibrationPath.Text;

            if (imageCalibration != true)
            {
                try
                {
                    FileStorage fs = new FileStorage(calibrationPath.Text, FileStorage.Mode.Read);
                    fs["rmapx1"].ReadMat(rmapx1);
                    fs["rmapy1"].ReadMat(rmapy1);
                    fs["rmapx2"].ReadMat(rmapx2);
                    fs["rmapy2"].ReadMat(rmapy2);

                    string rec1Str = fs["Rec1"].ReadString();
                    string rec2Str = fs["Rec2"].ReadString();

                    int idx1 = rec1Str.IndexOf('=');
                    int idx2 = rec1Str.IndexOf(',');
                    int x    = Convert.ToInt32(rec1Str.Substring(idx1 + 1, idx2 - idx1 - 1));
                    idx1 = rec1Str.IndexOf('=', idx2);
                    idx2 = rec1Str.IndexOf(',', idx1);
                    int y = Convert.ToInt32(rec1Str.Substring(idx1 + 1, idx2 - idx1 - 1));
                    idx1 = rec1Str.IndexOf('=', idx2);
                    idx2 = rec1Str.IndexOf(',', idx1);
                    int w = Convert.ToInt32(rec1Str.Substring(idx1 + 1, idx2 - idx1 - 1));
                    idx1 = rec1Str.IndexOf('=', idx2);
                    idx2 = rec1Str.Length;
                    int h = Convert.ToInt32(rec1Str.Substring(idx1 + 1, idx2 - idx1 - 1));

                    Rec1 = new Rectangle(x, y, w, h);

                    idx1 = rec2Str.IndexOf('=');
                    idx2 = rec2Str.IndexOf(',');
                    x    = Convert.ToInt32(rec2Str.Substring(idx1 + 1, idx2 - idx1 - 1));
                    idx1 = rec2Str.IndexOf('=', idx2);
                    idx2 = rec2Str.IndexOf(',', idx1);
                    y    = Convert.ToInt32(rec2Str.Substring(idx1 + 1, idx2 - idx1 - 1));
                    idx1 = rec2Str.IndexOf('=', idx2);
                    idx2 = rec2Str.IndexOf(',', idx1);
                    w    = Convert.ToInt32(rec2Str.Substring(idx1 + 1, idx2 - idx1 - 1));
                    idx1 = rec2Str.IndexOf('=', idx2);
                    idx2 = rec2Str.Length;
                    h    = Convert.ToInt32(rec2Str.Substring(idx1 + 1, idx2 - idx1 - 1));

                    Rec2 = new Rectangle(x, y, w, h);

                    MessageBox.Show("Transformation maps loaded successfully");
                }
                catch (Exception)
                {
                    MessageBox.Show("Error: Problem loading Transformation maps");
                    Environment.Exit(1);
                }
            }
            if (imageCalibration == true)
            {
                for (int i = 0; i < bufferLength * 2; i++)
                {
                    chessFrameL = CvInvoke.Imread(imagesPath + "\\camera1\\image_" + i.ToString() + ".jpg");
                    chessFrameR = CvInvoke.Imread(imagesPath + "\\camera2\\image_" + i.ToString() + ".jpg");

                    patternLeftFound  = CvInvoke.FindChessboardCorners(chessFrameL, patternSize, cornersVecLeft, CalibCbType.NormalizeImage | CalibCbType.AdaptiveThresh);
                    patternRightFound = CvInvoke.FindChessboardCorners(chessFrameR, patternSize, cornersVecRight, CalibCbType.NormalizeImage | CalibCbType.AdaptiveThresh);

                    if (patternLeftFound && patternRightFound)
                    {
                        CvInvoke.CvtColor(chessFrameL, grayLeft, ColorConversion.Bgr2Gray);
                        CvInvoke.CvtColor(chessFrameR, grayRight, ColorConversion.Bgr2Gray);

                        CvInvoke.DrawChessboardCorners(chessFrameL, patternSize, cornersVecLeft, patternLeftFound);
                        CvInvoke.DrawChessboardCorners(chessFrameR, patternSize, cornersVecRight, patternRightFound);

                        CvInvoke.Imshow("Calibration image left", chessFrameL);
                        CvInvoke.Imshow("Calibration image right", chessFrameR);
                        //chessFrameL.Save(desktop + "\\Left_" + i + ".jpg");
                        //chessFrameR.Save(desktop + "\\Right" + i + ".jpg");

                        CvInvoke.WaitKey(10);

                        imagePoints1[bufferSavepoint] = cornersVecLeft.ToArray();
                        imagePoints2[bufferSavepoint] = cornersVecRight.ToArray();
                        bufferSavepoint++;
                        if (bufferSavepoint == bufferLength)
                        {
                            break;
                        }
                    }
                }
                CvInvoke.DestroyAllWindows();
                //fill the MCvPoint3D32f with correct mesurments
                for (int k = 0; k < bufferLength; k++)
                {
                    //Fill our objects list with the real world mesurments for the intrinsic calculations
                    List <MCvPoint3D32f> object_list = new List <MCvPoint3D32f>();
                    for (int i = 0; i < height; i++)
                    {
                        for (int j = 0; j < width; j++)
                        {
                            object_list.Add(new MCvPoint3D32f(j * 20.0F, i * 20.0F, 0.0F));
                        }
                    }
                    cornersObjectPoints[k] = object_list.ToArray();
                }

                CvInvoke.CalibrateCamera(cornersObjectPoints, imagePoints1, chessFrameL.Size, camMat1, dist1, CalibType.Default, new MCvTermCriteria(200, 1e-5), out rvecs, out tvecs);
                CvInvoke.CalibrateCamera(cornersObjectPoints, imagePoints2, chessFrameL.Size, camMat2, dist2, CalibType.Default, new MCvTermCriteria(200, 1e-5), out rvecs, out tvecs);

                CvInvoke.StereoCalibrate(cornersObjectPoints, imagePoints1, imagePoints2, camMat1, dist1, camMat2, dist2, chessFrameL.Size,
                                         R, T, essential, fundamental, CalibType.FixAspectRatio | CalibType.ZeroTangentDist | CalibType.SameFocalLength | CalibType.RationalModel | CalibType.UseIntrinsicGuess | CalibType.FixK3 | CalibType.FixK4 | CalibType.FixK5, new MCvTermCriteria(100, 1e-5));

                CvInvoke.StereoRectify(camMat1, dist1, camMat2, dist2, chessFrameL.Size, R, T, R1, R2, P1, P2, Q, StereoRectifyType.CalibZeroDisparity, 0,
                                       chessFrameL.Size, ref Rec1, ref Rec2);

                // Create transformation maps
                CvInvoke.InitUndistortRectifyMap(camMat1, dist1, R1, P1, chessFrameL.Size, DepthType.Cv32F, rmapx1, rmapy1);
                CvInvoke.InitUndistortRectifyMap(camMat2, dist2, R2, P2, chessFrameL.Size, DepthType.Cv32F, rmapx2, rmapy2);
                MessageBox.Show("Calibration has ended\n Connect to TELLO access point");
                try
                {
                    FileStorage fs = new FileStorage(calibrationPath.Text + "\\calibMaps.xml", FileStorage.Mode.Write);
                    fs.Write(rmapx1, "rmapx1");
                    fs.Write(rmapy1, "rmapy1");
                    fs.Write(rmapx2, "rmapx2");
                    fs.Write(rmapy2, "rmapy2");
                    fs.Write(Rec1.ToString(), "Rec1");
                    fs.Write(Rec2.ToString(), "Rec2");
                    MessageBox.Show("Transformation maps saved successfully");
                }
                catch (Exception)
                {
                    MessageBox.Show("Error: Problem saving Transformation maps");
                    Environment.Exit(1);
                }
            }
        }