public void TestArrays()
{
string imgfn = "test-c3.png";
// load Bytearray
Bytearray ba = new Bytearray(1, 1);
ImgIo.read_image_gray(ba, imgfn);
OcrRoutine.Invert(ba);
//NarrayUtil.Sub((byte)255, image);
byte[] bytes1 = ba.To1DArray();
NarrayShow.ShowConsole(ba);
StdInput linput1 = new StdInput(ba);
Console.WriteLine();
// load StdInput
Bitmap bitmap = ImgIo.LoadBitmapFromFile(imgfn);
StdInput linput2 = StdInput.FromBitmap(bitmap);
//NarrayShow.ShowConsole(linput2);
// test convert
Floatarray fa = linput2.ToFloatarray();
StdInput linput3 = new StdInput(fa);
Console.WriteLine("Arrays is identical? {0}", Equals(linput1.GetDataBuffer(), linput2.GetDataBuffer()));
Console.WriteLine("Arrays is identical? {0}", Equals(linput2.GetDataBuffer(), linput3.GetDataBuffer()));
}
public void TestSimple()
{
Global.SetEnv("debug", Global.GetEnv("debug") + "");
// image file name to recognize
string imgFileName = "line.png";
string imgCsegFileName = "line.cseg.png";
string imgTranscriptFileName = "line.txt";
// line recognizer
Linerec lrec = (Linerec)Linerec.LoadLinerec("default.model");
//Linerec lrec = (Linerec)Linerec.LoadLinerec("2m2-reject.cmodel");
//Linerec lrec = (Linerec)Linerec.LoadLinerec("multi3.cmodel");
//Linerec lrec = (Linerec)Linerec.LoadLinerec("latin-ascii.model");
lrec.Info();
// language model
OcroFST default_lmodel = OcroFST.MakeOcroFst();
default_lmodel.Load("default.fst");
OcroFST lmodel = default_lmodel;
// read image
Bytearray image = new Bytearray(1, 1);
ImgIo.read_image_gray(image, imgFileName);
// recognize!
OcroFST fst = OcroFST.MakeOcroFst();
Intarray rseg = new Intarray();
lrec.RecognizeLine(rseg, fst, image);
// show result 1
string resStr;
fst.BestPath(out resStr);
Console.WriteLine("Fst BestPath: {0}", resStr);
// find result 2
Intarray v1 = new Intarray();
Intarray v2 = new Intarray();
Intarray inp = new Intarray();
Intarray outp = new Intarray();
Floatarray c = new Floatarray();
BeamSearch.beam_search(v1, v2, inp, outp, c, fst, lmodel, 100);
FstUtil.remove_epsilons(out resStr, outp);
Console.WriteLine("Fst BeamSearch: {0}", resStr);
Intarray cseg = new Intarray();
SegmRoutine.rseg_to_cseg(cseg, rseg, inp);
SegmRoutine.make_line_segmentation_white(cseg);
ImgLabels.simple_recolor(cseg); // for human readable
ImgIo.write_image_packed(imgCsegFileName, cseg);
File.WriteAllText(imgTranscriptFileName, resStr.Replace(" ", ""));
}
public override bool GetLine(Bytearray image, int page, int line, string variant = null)
{
string s = PathFile(page, line, variant, "png");
if (!File.Exists(s))
{
return(false);
}
ImgIo.read_image_gray(image, s);
return(true);
}
private void DoTestRecognize(LenetClassifier classifier)
{
OutputVector ov = new OutputVector();
Floatarray v = new Floatarray();
Bytearray ba = new Bytearray(1, 1);
ImgIo.read_image_gray(ba, testPngFileName);
NarrayUtil.Sub(255, ba);
v.Copy(ba);
v /= 255.0;
classifier.XOutputs(ov, v);
Console.WriteLine("Featured output class '{0}', score '{1}'", (char)ov.Key(ov.BestIndex), ov.Value(ov.BestIndex));
}
private void DoTestLinerecRecognize(Linerec linerec, string bookPath, string filename)
{
Bytearray image = new Bytearray();
ImgIo.read_image_gray(image, bookPath + filename);
// recognize!
OcroFST fst = OcroFST.MakeOcroFst();
linerec.RecognizeLine(fst, image);
// show result
string resStr;
fst.BestPath(out resStr);
Console.WriteLine("Fst BestPath: {0}", resStr);
}
static void Main(string[] args)
{
//MlpClassifier mlp = new MlpClassifier();
/*OcroFST fst = OcroFST.MakeFst("OcroFST");
* fst.Load("ocr-dict-case.fst");
*
* Console.WriteLine("{0} ({1})", fst.Name, fst.Interface);
* Console.WriteLine("{0}..{1}", fst.GetStart(), fst.nStates());
* fst.Save("test.fst");*/
//TestDataSet ds = new TestDataSet();
/*Console.WriteLine("Interface: {0}", ds.Interface);
* Console.WriteLine("Name: {0}", ds.Name);
* Console.WriteLine("Description: {0}", ds.Description);*/
/*Console.WriteLine(String.Format("{0:X6}", 15));
* DirPattern dpatt1 = new DirPattern("data2", @"[0-9][0-9][0-9][0-9]");
* Console.WriteLine("Count: {0}", dpatt1.Length);
* DirPattern dpatt2 = new DirPattern("data2", @"([0-9][0-9][0-9][0-9])\.png");
* Console.WriteLine("Count: {0}", dpatt2.Length);
*
* Console.WriteLine("Exist: {0}",
* DirPattern.Exist("data2", @"[0-9][0-9][0-9][0-9]", @"([0-9][0-9][0-9][0-9][0-9][0-9])\.png"));*/
//new TestBookStore().RunTest();
Ocronet.Dynamic.Utils.Logger.Default.verbose = true;
//new TestLenetWrapper().RunTest();
//TestLenetClassifier testLenet = new TestLenetClassifier();
//testLenet.TestArrays();
//testLenet.TestSaveNetwork();
//testLenet.TestRecognize();
//new TestDataset().TestRowDataset();
TestLinerec testLinerec = new TestLinerec();
//testLinerec.TestSimple();
//testLinerec.TestTrainLatinCseg();
testLinerec.TestTrainLenetCseg();
//testLinerec.TestRecognizeCseg();
//testLinerec.TestComputeMissingCseg();
//testLinerec.TestSimple();
if (args.Length == 0)
{
Console.WriteLine("Usage: DynamicConsole.exe imagefile");
return;
}
//args[0] = "scan1.png";
//args[0] = "lenna.jpg";
string fileNameWoExt = Path.GetFileNameWithoutExtension(args[0]);
Bytearray image = new Bytearray(1, 1);
//Intarray image = new Intarray(1, 1);
ImgIo.read_image_gray(image, args[0]);
Bytearray binimage = new Bytearray(1, 1);
Intarray segmimage = new Intarray(1, 1);
IBinarize binarizer = new BinarizeByOtsu();
//binarizer.Set("k", 0.05);
//binarizer.Set("w", 5);
ISegmentLine segmenter = new DpSegmenter();
binarizer.Binarize(binimage, image);
ImgIo.write_image_gray(fileNameWoExt + ".bin.png", binimage);
//new BinarizeByOtsu().Binarize(binimage, image);
segmenter.Charseg(ref segmimage, binimage);
ImgLabels.simple_recolor(segmimage);
ImgIo.write_image_packed(fileNameWoExt + ".rseg.png", segmimage);
}