tesseract::ShapeClassifier Class Reference

#include <shapeclassifier.h>

Inheritance diagram for tesseract::ShapeClassifier:

Public Member Functions
virtual	~ShapeClassifier ()=default
virtual int	UnicharClassifySample (const TrainingSample &sample, Image page_pix, int debug, UNICHAR_ID keep_this, std::vector< UnicharRating > *results)
virtual int	BestShapeForUnichar (const TrainingSample &sample, Image page_pix, UNICHAR_ID unichar_id, ShapeRating *result)
virtual const ShapeTable *	GetShapeTable () const =0
virtual const UNICHARSET &	GetUnicharset () const
void	DebugDisplay (const TrainingSample &sample, Image page_pix, UNICHAR_ID unichar_id)
virtual int	DisplayClassifyAs (const TrainingSample &sample, Image page_pix, UNICHAR_ID unichar_id, int index, std::vector< ScrollView * > &windows)
virtual void	UnicharPrintResults (const char *context, const std::vector< UnicharRating > &results) const
virtual void	PrintResults (const char *context, const std::vector< ShapeRating > &results) const

Protected Member Functions
virtual int	ClassifySample (const TrainingSample &sample, Image page_pix, int debug, UNICHAR_ID keep_this, std::vector< ShapeRating > *results)
void	FilterDuplicateUnichars (std::vector< ShapeRating > *results) const

Detailed Description

Definition at line 43 of file shapeclassifier.h.

Constructor & Destructor Documentation

~ShapeClassifier()

virtual tesseract::ShapeClassifier::~ShapeClassifier ( )

virtualdefault

Member Function Documentation

BestShapeForUnichar()

int tesseract::ShapeClassifier::BestShapeForUnichar ( const TrainingSample &  sample, Image  page_pix, UNICHAR_ID  unichar_id, ShapeRating *  result  )

virtual

Definition at line 68 of file shapeclassifier.cpp.

                                                                                     {
  std::vector<ShapeRating> results;
  const ShapeTable *shapes = GetShapeTable();
  int num_results = ClassifySample(sample, page_pix, 0, unichar_id, &results);
  for (int r = 0; r < num_results; ++r) {
    if (shapes->GetShape(results[r].shape_id).ContainsUnichar(unichar_id)) {
      if (result != nullptr) {
        *result = results[r];
      }
      return results[r].shape_id;
    }
  }
  return -1;
}

ClassifySample()

int tesseract::ShapeClassifier::ClassifySample ( const TrainingSample &  sample, Image  page_pix, int  debug, UNICHAR_ID  keep_this, std::vector< ShapeRating > *  results  )

protectedvirtual

Reimplemented in MockClassifier.

Definition at line 58 of file shapeclassifier.cpp.

                                                                                    {
  ASSERT_HOST("Must implement ClassifySample!" == nullptr);
  return 0;
}

DebugDisplay()

void tesseract::ShapeClassifier::DebugDisplay	(	const TrainingSample &	sample,
		Image	page_pix,
		UNICHAR_ID	unichar_id
	)

Definition at line 97 of file shapeclassifier.cpp.

                                                          {
  static ScrollView *terminator = nullptr;
  if (terminator == nullptr) {
    terminator = new ScrollView("XIT", 0, 0, 50, 50, 50, 50, true);
  }
  ScrollView *debug_win = CreateFeatureSpaceWindow("ClassifierDebug", 0, 0);
  // Provide a right-click menu to choose the class.
  auto *popup_menu = new SVMenuNode();
  popup_menu->AddChild("Choose class to debug", 0, "x", "Class to debug");
  popup_menu->BuildMenu(debug_win, false);
  // Display the features in green.
  const INT_FEATURE_STRUCT *features = sample.features();
  uint32_t num_features = sample.num_features();
  for (uint32_t f = 0; f < num_features; ++f) {
    RenderIntFeature(debug_win, &features[f], ScrollView::GREEN);
  }
  debug_win->Update();
  std::vector<UnicharRating> results;
  // Debug classification until the user quits.
  const UNICHARSET &unicharset = GetUnicharset();
  SVEventType ev_type;
  do {
    std::vector<ScrollView *> windows;
    if (unichar_id >= 0) {
      tprintf("Debugging class %d = %s\n", unichar_id, unicharset.id_to_unichar(unichar_id));
      UnicharClassifySample(sample, page_pix, 1, unichar_id, &results);
      DisplayClassifyAs(sample, page_pix, unichar_id, 1, windows);
    } else {
      tprintf("Invalid unichar_id: %d\n", unichar_id);
      UnicharClassifySample(sample, page_pix, 1, -1, &results);
    }
    if (unichar_id >= 0) {
      tprintf("Debugged class %d = %s\n", unichar_id, unicharset.id_to_unichar(unichar_id));
    }
    tprintf("Right-click in ClassifierDebug window to choose debug class,");
    tprintf(" Left-click or close window to quit...\n");
    UNICHAR_ID old_unichar_id;
    do {
      old_unichar_id = unichar_id;
      auto ev = debug_win->AwaitEvent(SVET_ANY);
      ev_type = ev->type;
      if (ev_type == SVET_POPUP) {
        if (unicharset.contains_unichar(ev->parameter)) {
          unichar_id = unicharset.unichar_to_id(ev->parameter);
        } else {
          tprintf("Char class '%s' not found in unicharset", ev->parameter);
        }
      }
    } while (unichar_id == old_unichar_id && ev_type != SVET_CLICK && ev_type != SVET_DESTROY);
    for (auto window : windows) {
      delete window;
    }
  } while (ev_type != SVET_CLICK && ev_type != SVET_DESTROY);
  delete debug_win;
}

DisplayClassifyAs()

int tesseract::ShapeClassifier::DisplayClassifyAs ( const TrainingSample &  sample, Image  page_pix, UNICHAR_ID  unichar_id, int  index, std::vector< ScrollView * > &  windows  )

virtual

Reimplemented in tesseract::TessClassifier.

Definition at line 161 of file shapeclassifier.cpp.

                                                                         {
  // Does nothing in the default implementation.
  return index;
}

FilterDuplicateUnichars()

void tesseract::ShapeClassifier::FilterDuplicateUnichars ( std::vector< ShapeRating > *  results ) const

protected

Definition at line 201 of file shapeclassifier.cpp.

                                                                                   {
  std::vector<ShapeRating> filtered_results;
  // Copy results to filtered results and knock out duplicate unichars.
  const ShapeTable *shapes = GetShapeTable();
  for (unsigned r = 0; r < results->size(); ++r) {
    if (r > 0) {
      const Shape &shape_r = shapes->GetShape((*results)[r].shape_id);
      int c;
      for (c = 0; c < shape_r.size(); ++c) {
        int unichar_id = shape_r[c].unichar_id;
        unsigned s;
        for (s = 0; s < r; ++s) {
          const Shape &shape_s = shapes->GetShape((*results)[s].shape_id);
          if (shape_s.ContainsUnichar(unichar_id)) {
            break; // We found unichar_id.
          }
        }
        if (s == r) {
          break; // We didn't find unichar_id.
        }
      }
      if (c == shape_r.size()) {
        continue; // We found all the unichar ids in previous answers.
      }
    }
    filtered_results.push_back((*results)[r]);
  }
  *results = filtered_results;
}

GetShapeTable()

virtual const ShapeTable * tesseract::ShapeClassifier::GetShapeTable ( ) const

pure virtual

Implemented in tesseract::TessClassifier, and MockClassifier.

GetUnicharset()

const UNICHARSET & tesseract::ShapeClassifier::GetUnicharset ( ) const

virtual

Reimplemented in tesseract::TessClassifier.

Definition at line 86 of file shapeclassifier.cpp.

                                                       {
  return GetShapeTable()->unicharset();
}

PrintResults()

void tesseract::ShapeClassifier::PrintResults ( const char *  context, const std::vector< ShapeRating > &  results  ) const

virtual

Definition at line 184 of file shapeclassifier.cpp.

                                                                                {
  tprintf("%s\n", context);
  for (const auto &result : results) {
    tprintf("%g:", result.rating);
    if (result.joined) {
      tprintf("[J]");
    }
    if (result.broken) {
      tprintf("[B]");
    }
    tprintf(" %s\n", GetShapeTable()->DebugStr(result.shape_id).c_str());
  }
}

UnicharClassifySample()

int tesseract::ShapeClassifier::UnicharClassifySample ( const TrainingSample &  sample, Image  page_pix, int  debug, UNICHAR_ID  keep_this, std::vector< UnicharRating > *  results  )

virtual

Reimplemented in tesseract::TessClassifier.

Definition at line 41 of file shapeclassifier.cpp.

                                                                              {
  results->clear();
  std::vector<ShapeRating> shape_results;
  int num_shape_results = ClassifySample(sample, page_pix, debug, keep_this, &shape_results);
  const ShapeTable *shapes = GetShapeTable();
  std::vector<int> unichar_map(shapes->unicharset().size(), -1);
  for (int r = 0; r < num_shape_results; ++r) {
    shapes->AddShapeToResults(shape_results[r], &unichar_map, results);
  }
  return results->size();
}

UnicharPrintResults()

void tesseract::ShapeClassifier::UnicharPrintResults ( const char *  context, const std::vector< UnicharRating > &  results  ) const

virtual

Definition at line 169 of file shapeclassifier.cpp.

                                                                                         {
  tprintf("%s\n", context);
  for (const auto &result : results) {
    tprintf("%g: c_id=%d=%s", result.rating, result.unichar_id,
            GetUnicharset().id_to_unichar(result.unichar_id));
    if (!result.fonts.empty()) {
      tprintf(" Font Vector:");
      for (auto &&font : result.fonts) {
        tprintf(" %d", font.fontinfo_id);
      }
    }
    tprintf("\n");
  }
}

---

The documentation for this class was generated from the following files:

• /media/home/debian/src/github/tesseract-ocr/tesseract/src/classify/shapeclassifier.h
• /media/home/debian/src/github/tesseract-ocr/tesseract/src/classify/shapeclassifier.cpp