shapeclassifier.cpp

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// Copyright 2011 Google Inc. All Rights Reserved.
// Author: rays@google.com (Ray Smith)
// File:        shapeclassifier.cpp
// Description: Base interface class for classifiers that return a
//              shape index.
// Author:      Ray Smith
//
// (C) Copyright 2011, Google Inc.
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
 
#ifdef HAVE_CONFIG_H
#  include "config_auto.h"
#endif
 
#include "shapeclassifier.h"
 
#include "scrollview.h"
#include "shapetable.h"
#ifndef GRAPHICS_DISABLED
#include "svmnode.h"
#endif
#include "tprintf.h"
#include "trainingsample.h"
 
namespace tesseract {
 
// Classifies the given [training] sample, writing to results.
// See shapeclassifier.h for a full description.
// Default implementation calls the ShapeRating version.
int ShapeClassifier::UnicharClassifySample(const TrainingSample &sample, Image page_pix, int debug,
                                           UNICHAR_ID keep_this,
                                           std::vector<UnicharRating> *results) {
  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();
}
 
// Classifies the given [training] sample, writing to results.
// See shapeclassifier.h for a full description.
// Default implementation aborts.
int ShapeClassifier::ClassifySample(const TrainingSample &sample, Image page_pix, int debug,
                                    int keep_this, std::vector<ShapeRating> *results) {
  ASSERT_HOST("Must implement ClassifySample!" == nullptr);
  return 0;
}
 
// Returns the shape that contains unichar_id that has the best result.
// If result is not nullptr, it is set with the shape_id and rating.
// Does not need to be overridden if ClassifySample respects the keep_this
// rule.
int ShapeClassifier::BestShapeForUnichar(const TrainingSample &sample, Image page_pix,
                                         UNICHAR_ID unichar_id, ShapeRating *result) {
  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;
}
 
// Provides access to the UNICHARSET that this classifier works with.
// Only needs to be overridden if GetShapeTable() can return nullptr.
const UNICHARSET &ShapeClassifier::GetUnicharset() const {
  return GetShapeTable()->unicharset();
}
 
#ifndef GRAPHICS_DISABLED
 
// Visual debugger classifies the given sample, displays the results and
// solicits user input to display other classifications. Returns when
// the user has finished with debugging the sample.
// Probably doesn't need to be overridden if the subclass provides
// DisplayClassifyAs.
void ShapeClassifier::DebugDisplay(const TrainingSample &sample, Image page_pix,
                                   UNICHAR_ID unichar_id) {
  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;
}
 
#endif // !GRAPHICS_DISABLED
 
// Displays classification as the given shape_id. Creates as many windows
// as it feels fit, using index as a guide for placement. Adds any created
// windows to the windows output and returns a new index that may be used
// by any subsequent classifiers. Caller waits for the user to view and
// then destroys the windows by clearing the vector.
int ShapeClassifier::DisplayClassifyAs(const TrainingSample &sample, Image page_pix,
                                       UNICHAR_ID unichar_id, int index,
                                       std::vector<ScrollView *> &windows) {
  // Does nothing in the default implementation.
  return index;
}
 
// Prints debug information on the results.
void ShapeClassifier::UnicharPrintResults(const char *context,
                                          const std::vector<UnicharRating> &results) const {
  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");
  }
}
void ShapeClassifier::PrintResults(const char *context,
                                   const std::vector<ShapeRating> &results) const {
  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());
  }
}
 
// Removes any result that has all its unichars covered by a better choice,
// regardless of font.
void ShapeClassifier::FilterDuplicateUnichars(std::vector<ShapeRating> *results) const {
  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;
}
 
} // namespace tesseract.