Tesseract 3.02

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classifier_tester.cpp File Reference
`#include "base/commandlineflags.h"`
`#include "baseapi.h"`
`#include "commontraining.h"`
`#include "cubeclassifier.h"`
`#include "mastertrainer.h"`
`#include "params.h"`
`#include "strngs.h"`
`#include "tessclassifier.h"`

Go to the source code of this file.

## Enumerations
enum | ClassifierName { CN_PRUNER, CN_FULL, CN_CUBE, CN_CUBETESS, CN_COUNT }

## Functions
| STRING_PARAM_FLAG (classifier,"","Classifier to test")
| STRING_PARAM_FLAG (lang,"eng","Language to test")
| STRING_PARAM_FLAG (tessdata_dir,"","Directory of traineddata files")
int | main (int argc, char **argv)

## Variables
const char * | names [] = {"pruner", "full", "cube", "cubetess", NULL }

## Enumeration Type Documentation

enum ClassifierName

Enumerator:

  CN_PRUNER |
  CN_FULL |
  CN_CUBE |
  CN_CUBETESS |
  CN_COUNT |

Definition at line 34 of file classifier_tester.cpp.

{
CN_PRUNER,
CN_FULL,
CN_CUBE,
CN_CUBETESS,
CN_COUNT
};

## Function Documentation

int main | ( | int | argc,
|  | char ** | argv
| ) |  |

Public Function Prototypes —————————————————————————-

Definition at line 65 of file classifier_tester.cpp.

{
ParseArguments(&argc, &argv);
// Decode the classifier string.
ClassifierName classifier = CN_COUNT;
for (int c = 0; c < CN_COUNT; ++c) {
if (strcmp(FLAGS_classifier.c_str(), names[c]) == 0) {
classifier = static_cast<ClassifierName>(c);
break;
}
}
if (classifier == CN_COUNT) {
fprintf(stderr, "Invalid classifier name:%s\n", FLAGS_classifier.c_str());
return 1;
}
STRING file_prefix;
tesseract::MasterTrainer* trainer = tesseract::LoadTrainingData(
argc, argv, true, NULL, &file_prefix);
// We want to test junk as well if it is available.
trainer->IncludeJunk();
// We want to test with replicated samples too.
trainer->ReplicateAndRandomizeSamplesIfRequired();
// We need to initialize tesseract to test.
tesseract::TessBaseAPI api;
tesseract::OcrEngineMode engine_mode = tesseract::OEM_TESSERACT_ONLY;
if (classifier == CN_CUBE || classifier == CN_CUBETESS)
engine_mode = tesseract::OEM_TESSERACT_CUBE_COMBINED;
if (api.Init(FLAGS_tessdata_dir.c_str(), FLAGS_lang.c_str(),
engine_mode) < 0) {
fprintf(stderr, "Tesseract initialization failed!\n");
return 1;
}
tesseract::ShapeClassifier* shape_classifier = NULL;
tesseract::Tesseract* tesseract =
const_cast<tesseract::Tesseract*>(api.tesseract());
tesseract::Classify* classify =
reinterpret_cast<tesseract::Classify*>(tesseract);
// Copy the shape_table from the classifier and add the space character if
// not already present to count junk.
tesseract::ShapeTable shape_table;
shape_table.set_unicharset(classify->shape_table()->unicharset());
shape_table.AppendMasterShapes(*classify->shape_table());
if (shape_table.FindShape(0, -1) < 0)
shape_table.AddShape(0, 0);
if (classifier == CN_PRUNER) {
shape_classifier = new tesseract::TessClassifier(true, classify);
} else if (classifier == CN_FULL) {
shape_classifier = new tesseract::TessClassifier(false, classify);
} else if (classifier == CN_CUBE) {
shape_classifier = new tesseract::CubeClassifier(tesseract);
} else if (classifier == CN_CUBETESS) {
shape_classifier = new tesseract::CubeTessClassifier(tesseract);
} else {
fprintf(stderr, "%s tester not yet implemented\n",
FLAGS_classifier.c_str());
return 1;
}
tprintf("Testing classifier %s:\n", FLAGS_classifier.c_str());
trainer->TestClassifierOnSamples(3, false, shape_classifier, NULL);
if (classifier != CN_CUBE && classifier != CN_CUBETESS) {
// Test with replicated samples as well.
trainer->TestClassifierOnSamples(3, true, shape_classifier, NULL);
}
delete shape_classifier;
delete trainer;
return 0;
} /* main */

STRING_PARAM_FLAG | ( | classifier | ,
|  | "" | ,
|  | "Classifier to test" |
| ) |  |

STRING_PARAM_FLAG | ( | lang | ,
|  | "eng" | ,
|  | "Language to test" |
| ) |  |

STRING_PARAM_FLAG | ( | tessdata_dir | ,
|  | "" | ,
|  | "Directory of traineddata files" |
| ) |  |

## Variable Documentation

const char* names[] = {"pruner", "full", "cube", "cubetess", NULL }

Definition at line 42 of file classifier_tester.cpp.