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https://github.com/tesseract-ocr/tesseract.git
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87 lines
2.7 KiB
C++
87 lines
2.7 KiB
C++
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///////////////////////////////////////////////////////////////////////
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// File: classify.cpp
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// Description: classify class.
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// Author: Samuel Charron
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//
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// (C) Copyright 2006, Google Inc.
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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///////////////////////////////////////////////////////////////////////
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#include "classify.h"
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#include "intproto.h"
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#include "unicity_table.h"
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#include <string.h>
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namespace {
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// Compare FontInfo structures.
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bool compare_fontinfo(const FontInfo& fi1, const FontInfo& fi2) {
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// The font properties are required to be the same for two font with the same
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// name, so there is no need to test them.
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// Consequently, querying the table with only its font name as information is
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// enough to retrieve its properties.
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return strcmp(fi1.name, fi2.name) == 0;
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}
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// Compare FontSet structures.
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bool compare_font_set(const FontSet& fs1, const FontSet& fs2) {
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if (fs1.size != fs2.size)
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return false;
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for (int i = 0; i < fs1.size; ++i) {
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if (fs1.configs[i] != fs2.configs[i])
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return false;
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}
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return true;
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}
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void delete_callback(FontInfo f) {
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delete[] f.name;
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}
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void delete_callback_fs(FontSet fs) {
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delete[] fs.configs;
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}
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}
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namespace tesseract {
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Classify::Classify()
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: INT_MEMBER(tessedit_single_match, FALSE, "Top choice only from CP"),
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BOOL_MEMBER(classify_enable_learning, true, "Enable adaptive classifier"),
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BOOL_MEMBER(classify_recog_devanagari, false,
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"Whether recognizing a language with devanagari script."),
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EnableLearning(true),
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dict_(&image_) {
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fontinfo_table_.set_compare_callback(
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NewPermanentCallback(compare_fontinfo));
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fontinfo_table_.set_clear_callback(
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NewPermanentCallback(delete_callback));
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fontset_table_.set_compare_callback(
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NewPermanentCallback(compare_font_set));
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fontset_table_.set_clear_callback(
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NewPermanentCallback(delete_callback_fs));
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AdaptedTemplates = NULL;
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PreTrainedTemplates = NULL;
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inttemp_loaded_ = false;
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AllProtosOn = NULL;
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PrunedProtos = NULL;
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AllConfigsOn = NULL;
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AllProtosOff = NULL;
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AllConfigsOff = NULL;
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TempProtoMask = NULL;
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NormProtos = NULL;
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}
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Classify::~Classify() {
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EndAdaptiveClassifier();
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}
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} // namespace tesseract
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