Ejemplo n.º 1
0
        // load image for fast algorithm
        private void LoadMainImages(string entry)
        {
            var pageImageEntries = Directory.GetFiles(entry);


            Console.WriteLine("(Main Image)");
            foreach (var e in pageImageEntries)
            {
                string fileName = Utils.GetFileNameInFullEntry(e);

                if (Utils.CheckIsPNG(e))
                {
                    _imageMat = new Mat(e);

                    Console.WriteLine("Load file : " + e);
                    Console.WriteLine("Matrix : " + _imageMat);
                }
            }

            if (_imageMat != null)
            {
                Mat imageGray = null;
                FastMatchSample.FastDescriptor(_imageMat, out _pageDescriptors, out _keypoints, out imageGray);
            }
            Console.WriteLine();
        }
 static public void FastDescriptor(
     Mat img,
     out MatOfFloat descriptors,
     out KeyPoint[] keypoints,
     out Mat imgGray)
 {
     FastMatchSample.Fast(img, FastMatchThreshold, out imgGray, out keypoints);
     FastMatchSample.CreateORB(imgGray, keypoints, out descriptors);
 }
Ejemplo n.º 3
0
        public int PageScore(
            int wndStartX,
            int wndStartY,
            out double dissimilarity,
            out double similarity,
            out string log,
            bool logging = true)
        {
            log = "";
            if (_pageDescriptors == null)
            {
                dissimilarity = 2000000000.0f;
                similarity    = 0.0f;
                return(0);
            }

            Bitmap printscreen;

            Utils.CaptureScreen(wndStartX + _fromX, wndStartY + _fromY, _width, _height, out printscreen);

            _currentMat = Utils.BitmapToMat(printscreen);
            MatOfFloat discriptors = null;

            FastMatchSample.FastDescriptor(
                _currentMat, out discriptors, out _currentKeypoints, out _currentGray);

            DMatch[][] matches;
            FastMatchSample.Match(discriptors, _pageDescriptors, 3, out matches);

            int score = FastMatchSample.Scoring(matches, out dissimilarity, out similarity);

            if (logging)
            {
                log += PageName + " score : " + score + "  dissimilarity : " + dissimilarity + " keypoints : " + _currentKeypoints.Length + "\n";
            }

            return(score);
        }
Ejemplo n.º 4
0
        // load image for fast algorithm
        private void LoadMainImages(string entry)
        {
            var pageImageEntries = Directory.GetFiles(entry);

            Console.WriteLine("-------------------------- " + _pageName + " -----------------------------");

            foreach (var e in pageImageEntries)
            {
                string fileName = Utils.GetFileNameInFullEntry(e);
                _imageMat = new Mat(e);

                Console.WriteLine("Load file : " + e);
                Console.WriteLine("Matrix : " + _imageMat);
            }

            if (_imageMat != null)
            {
                FastMatchSample.FastDescriptor(_imageMat, out _pageDescriptors, out _keypoints, out _imageGray);
                //FastMatchSample.SiftDescriptor(_imageMat, out _pageDescriptors, out _keypoints, out _imageGray);
            }

            Console.WriteLine("-------------------------------------------------------------------------");
        }
Ejemplo n.º 5
0
        public int PageScore(
            MatOfFloat currentDescriptors,
            out double dissimilarity,
            out double similarity,
            out string log,
            bool logging = true)
        {
            log = "";

            if (_skipPageScore)
            {
                similarity    = 10000.0f;
                dissimilarity = 0.0f;
                return(50000);
            }

            if (_pageDescriptors == null)
            {
                dissimilarity = 2000000000.0f;
                similarity    = 0.0f;
                return(0);
            }



            DMatch[][] matches;
            FastMatchSample.Match(currentDescriptors, _pageDescriptors, 3, out matches);

            int score = FastMatchSample.Scoring(matches, out dissimilarity, out similarity);

            if (logging)
            {
                log += PageName + " score : " + score + "  dissimilarity : " + dissimilarity + "\n";
            }

            return(score);
        }
Ejemplo n.º 6
0
        private void ScoreAllMatchPages(Mat mat)
        {
            string mainLog       = "--------------------------ScoreAllMatchPages-----------------------------\n";
            string maxPageName   = Globals.UnknownPage;
            double maxSimilarity = 0.0f;

            MatchPage maxPage = null;
            DateTime  start   = DateTime.Now;

            MatOfFloat descriptors = null;

            _keypoints = null;
            Mat gray = null;

            FastMatchSample.FastDescriptor(mat, out descriptors, out _keypoints, out gray);
            //FastMatchSample.SiftDescriptor(mat, out descriptors, out keypoints, out gray);

            double dissimilarity;
            double similarity;
            string log;

            if (_currentPageName == Globals.UnknownPage)
            {
                foreach (var p in _matchPages)
                {
                    var page = p.Value;

                    int score = page.PageScore(descriptors, out dissimilarity, out similarity, out log);

                    if (_log)
                    {
                        mainLog += log;
                    }

                    similarity = page.AdditionalCalcSimilarity(mat, similarity);

                    if (similarity > maxSimilarity)
                    {
                        maxSimilarity = similarity;
                        maxPageName   = p.Value.PageName;
                        maxPage       = page;
                    }
                }
            }
            else
            {
                var rPages = _matchPages[_currentPageName].RelatedPages;

                foreach (var p in rPages)
                {
                    if (!_matchPages.ContainsKey(p))
                    {
                        Console.WriteLine("!!!!!!!!!!!!!!!!!!!!!!!! no Page!!!!!!!!!!!!!!!!!!!!!! [" + p + "]");
                        continue;
                    }

                    var page = _matchPages[p];

                    int score = page.PageScore(
                        descriptors, out dissimilarity, out similarity, out log);

                    if (_log)
                    {
                        mainLog += log;
                    }


                    similarity = page.AdditionalCalcSimilarity(mat, similarity);

                    if (similarity > maxSimilarity)
                    {
                        maxSimilarity = similarity;
                        maxPageName   = page.PageName;
                        maxPage       = page;
                    }
                }
            }


            if (RenderImageProcess)
            {
                if (maxPage != null)
                {
                    maxPage.RenderKeyPoints();
                }

                Utils.RenderKeyPoints(Globals.ImShowCurrentPageName, mat, _keypoints);
            }
            else
            {
                Cv2.DestroyWindow(Globals.ImShowMaxMatchPageName);
                Cv2.DestroyWindow(Globals.ImShowCurrentPageName);
            }


            DateTime end  = DateTime.Now;
            var      time = (end - start).TotalMilliseconds;

            if (maxSimilarity > 250.0f)
            {
                ChangePage(maxPageName);
            }
            else
            {
                ChangePage(Globals.UnknownPage);
            }


            if (_log /*&& _prevPageName != _currentPageName*/)
            {
                mainLog += "\n[" + _currentPageName + "]  maxSimilarity : " + maxSimilarity + "  total time : " + time + "\n";
                mainLog += "-------------------------------------------------------------------------\n\n";
                Console.WriteLine(mainLog);
            }
        }