Exemple #1
0
        private void MatchBySift(Mat src1, Mat src2)
        {
            var gray1 = new Mat();
            var gray2 = new Mat();

            Cv2.CvtColor(src1, gray1, ColorConversion.BgrToGray);
            Cv2.CvtColor(src2, gray2, ColorConversion.BgrToGray);

            var sift = new SIFT();

            // Detect the keypoints and generate their descriptors using SIFT
            KeyPoint[] keypoints1, keypoints2;
            var descriptors1 = new MatOfFloat();
            var descriptors2 = new MatOfFloat();
            sift.Run(gray1, null, out keypoints1, descriptors1);
            sift.Run(gray2, null, out keypoints2, descriptors2);

            // Match descriptor vectors
            var bfMatcher = new BFMatcher(NormType.L2, false);
            var flannMatcher = new FlannBasedMatcher();
            DMatch[] bfMatches = bfMatcher.Match(descriptors1, descriptors2);
            DMatch[] flannMatches = flannMatcher.Match(descriptors1, descriptors2);

            // Draw matches
            var bfView = new Mat();
            Cv2.DrawMatches(gray1, keypoints1, gray2, keypoints2, bfMatches, bfView);
            var flannView = new Mat();
            Cv2.DrawMatches(gray1, keypoints1, gray2, keypoints2, flannMatches, flannView);

            using (new Window("SIFT matching (by BFMather)", WindowMode.AutoSize, bfView))
            using (new Window("SIFT matching (by FlannBasedMatcher)", WindowMode.AutoSize, flannView))
            {
                Cv2.WaitKey();
            }
        }
        private void MatchBySift(Mat src1, Mat src2)
        {
            Mat gray1 = new Mat();
            Mat gray2 = new Mat();

            Cv2.CvtColor(src1, gray1, ColorConversion.BgrToGray);
            Cv2.CvtColor(src2, gray2, ColorConversion.BgrToGray);

            SIFT sift = new SIFT();

            // Detect the keypoints and generate their descriptors using SIFT
            KeyPoint[] keypoints1, keypoints2;
            MatOfFloat descriptors1 = new MatOfFloat();
            MatOfFloat descriptors2 = new MatOfFloat();
            sift.Run(gray1, null, out keypoints1, descriptors1);
            sift.Run(gray2, null, out keypoints2, descriptors2);

            // Matching descriptor vectors with a brute force matcher
            BFMatcher matcher = new BFMatcher(NormType.L2, false);
            DMatch[] matches = matcher.Match(descriptors1, descriptors2);

            // Draw matches
            Mat view = new Mat();
            Cv2.DrawMatches(gray1, keypoints1, gray2, keypoints2, matches, view);

            using (new Window("SIFT matching", WindowMode.AutoSize, view))
            {
                Cv2.WaitKey();
            }
        }
 public void GetData()
 {
     var imPath = "D:\\PATHTOIMAGE\\Original.jpg";
     var image = Cv2.ImRead(imPath);
     var sift = new SIFT(100);
     KeyPoint[] keypoints;
     MatOfFloat descriptors = new MatOfFloat();
     sift.Run(image, null, out keypoints, descriptors);
 }
Exemple #4
0
        private static void Run()
        {
            var dm = DescriptorMatcher.Create("BruteForce");
            dm.Clear();

            string[] algoNames = Algorithm.GetList();
            Console.WriteLine(String.Join("\n", algoNames));

            SIFT al1 = new SIFT();
            string[] ppp = al1.GetParams();
            Console.WriteLine(ppp);
            var t = al1.ParamType("contrastThreshold");
            double d = al1.GetDouble("contrastThreshold");
            t.ToString();
            d.ToString();

            var src = new Mat("data/lenna.png");
            var rand = new Random();
            var memory = new List<long>(100);

            var a1 = new Mat(src, Rect.FromLTRB(0, 0, 30, 40));
            var a2 = new Mat(src, Rect.FromLTRB(0, 0, 30, 40));
            var a3 = new Mat(src, Rect.FromLTRB(0, 0, 30, 40));
            a3.ToString();

            for (long i = 0; ; i++)
            {
                for (int j = 0; j < 200; j++)
                {
                    int c1 = rand.Next(100, 400);
                    int c2 = rand.Next(100, 400);
                    Mat temp = src.Row[c1];
                    src.Row[c1] = src.Row[c2];
                    src.Row[c2] = temp;
                }

                memory.Add(MyProcess.WorkingSet64);
                if (memory.Count >= 100)
                {
                    double average = memory.Average();
                    Console.WriteLine("{0:F3}MB", average / 1024.0 / 1024.0);
                    memory.Clear();
                    GC.Collect();
                }
            }

        }