Exemple #1
0
 private void InitBookstoreSource(string bookPaths)
 {
     try
     {
         string[] books = bookPaths.Split(';');
         BookstoreSource.Clear();
         lineSource.Init(bookPaths);
         BookstoreSource.FromLineSource(lineSource);
         if (bookstoreSource.Count > 0)
         {
             listBooksLine.SelectedIndex = 0;
         }
     }
     catch { }
 }
Exemple #2
0
        public void TestTrainLenetCseg()
        {
            string bookPath    = "data\\0000\\";
            string netFileName = "latin-lenet.model";

            Linerec.GDef("linerec", "use_reject", 1);
            Linerec.GDef("lenet", "junk", 1);
            Linerec.GDef("lenet", "epochs", 4);

            // create Linerec
            Linerec linerec;

            if (File.Exists(netFileName))
            {
                linerec = Linerec.LoadLinerec(netFileName);
            }
            else
            {
                linerec = new Linerec("lenet");
                LenetClassifier classifier = linerec.GetClassifier() as LenetClassifier;
                if (classifier != null)
                {
                    classifier.InitNumSymbLatinAlphabet();
                }
            }

            // temporary disable junk
            //linerec.DisableJunk = true;

            linerec.StartTraining();
            int        nepochs = 10;
            LineSource lines   = new LineSource();

            lines.Init(new string[] { "data2" });

            //linerec.GetClassifier().Set("epochs", 1);

            for (int epoch = 1; epoch <= nepochs; epoch++)
            {
                linerec.Epoch(epoch);

                // load cseg samples
                while (!lines.Done())
                {
                    lines.MoveNext();
                    Intarray cseg = new Intarray();
                    //Bytearray image = new Bytearray();
                    string transcript = lines.GetTranscript();
                    //lines.GetImage(image);
                    if (!lines.GetCharSegmentation(cseg) && cseg.Length() == 0)
                    {
                        Global.Debugf("warn", "skipping book {0} page {1} line {2} (no or bad cseg)",
                                      lines.CurrentBook, lines.CurrentPage, lines.Current);
                        continue;
                    }
                    SegmRoutine.make_line_segmentation_black(cseg);
                    linerec.AddTrainingLine(cseg, transcript);
                }

                lines.Reset();
                lines.Shuffle();
                // do Train and clear Dataset
                linerec.FinishTraining();
                // do save
                if (epoch % 1 == 0)
                {
                    linerec.Save(netFileName);
                }

                // recognize test line
                bool bakDisJunk = linerec.DisableJunk;
                linerec.DisableJunk = false;
                DoTestLinerecRecognize(linerec, "data2\\", "test1.png");
                linerec.DisableJunk = bakDisJunk;
            }

            // finnaly save
            linerec.Save(netFileName);
        }
Exemple #3
0
        public void TestTrainLenetCseg()
        {
            string bookPath = "data\\0000\\";
            string netFileName = "latin-lenet.model";

            Linerec.GDef("linerec", "use_reject", 1);
            Linerec.GDef("lenet", "junk", 1);
            Linerec.GDef("lenet", "epochs", 4);

            // create Linerec
            Linerec linerec;
            if (File.Exists(netFileName))
                linerec = Linerec.LoadLinerec(netFileName);
            else
            {
                linerec = new Linerec("lenet");
                LenetClassifier classifier = linerec.GetClassifier() as LenetClassifier;
                if (classifier != null)
                    classifier.InitNumSymbLatinAlphabet();
            }

            // temporary disable junk
            //linerec.DisableJunk = true;

            linerec.StartTraining();
            int nepochs = 10;
            LineSource lines = new LineSource();
            lines.Init(new string[] { "data2" });

            //linerec.GetClassifier().Set("epochs", 1);

            for (int epoch = 1; epoch <= nepochs; epoch++)
            {
                linerec.Epoch(epoch);

                // load cseg samples
                while (!lines.Done())
                {
                    lines.MoveNext();
                    Intarray cseg = new Intarray();
                    //Bytearray image = new Bytearray();
                    string transcript = lines.GetTranscript();
                    //lines.GetImage(image);
                    if (!lines.GetCharSegmentation(cseg) && cseg.Length() == 0)
                    {
                        Global.Debugf("warn", "skipping book {0} page {1} line {2} (no or bad cseg)",
                            lines.CurrentBook, lines.CurrentPage, lines.Current);
                        continue;
                    }
                    SegmRoutine.make_line_segmentation_black(cseg);
                    linerec.AddTrainingLine(cseg, transcript);
                }

                lines.Reset();
                lines.Shuffle();
                // do Train and clear Dataset
                linerec.FinishTraining();
                // do save
                if (epoch % 1 == 0)
                    linerec.Save(netFileName);

                // recognize test line
                bool bakDisJunk = linerec.DisableJunk;
                linerec.DisableJunk = false;
                DoTestLinerecRecognize(linerec, "data2\\", "test1.png");
                linerec.DisableJunk = bakDisJunk;
            }

            // finnaly save
            linerec.Save(netFileName);
        }