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85 lines
4.3 KiB
C++
85 lines
4.3 KiB
C++
// Copyright 2017 Google Inc. All Rights Reserved.
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// Author: rays@google.com (Ray Smith)
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// Purpose: Collection of convenience functions to simplify creation of the
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// unicharset, recoder, and dawgs for an LSTM model.
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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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#ifndef TESSERACT_TRAINING_LANG_MODEL_HELPERS_H_
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#define TESSERACT_TRAINING_LANG_MODEL_HELPERS_H_
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#include <string>
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#include "genericvector.h"
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#include "serialis.h"
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#include "strngs.h"
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#include "tessdatamanager.h"
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#include "unicharset.h"
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namespace tesseract {
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// Helper makes a filename (<output_dir>/<lang>/<lang><suffix>) and writes data
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// to the file, using writer if not null, otherwise, a default writer.
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// Default writer will overwrite any existing file, but a supplied writer
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// can do its own thing. If lang is empty, returns true but does nothing.
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// NOTE that suffix should contain any required . for the filename.
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bool WriteFile(const string& output_dir, const string& lang,
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const string& suffix, const GenericVector<char>& data,
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FileWriter writer);
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// Helper reads a file with optional reader and returns a STRING.
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// On failure emits a warning message and returns and empty STRING.
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STRING ReadFile(const string& filename, FileReader reader);
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// Helper writes the unicharset to file and to the traineddata.
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bool WriteUnicharset(const UNICHARSET& unicharset, const string& output_dir,
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const string& lang, FileWriter writer,
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TessdataManager* traineddata);
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// Helper creates the recoder from the unicharset and writes it to the
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// traineddata, with a human-readable form to file at:
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// <output_dir>/<lang>/<lang>.charset_size=<num> for some num being the size
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// of the re-encoded character set. The charset_size file is written using
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// writer if not null, or using a default file writer otherwise, overwriting
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// any existing content.
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// If pass_through is true, then the recoder will be a no-op, passing the
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// unicharset codes through unchanged. Otherwise, the recoder will "compress"
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// the unicharset by encoding Hangul in Jamos, decomposing multi-unicode
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// symbols into sequences of unicodes, and encoding Han using the data in the
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// radical_table_data, which must be the content of the file:
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// langdata/radical-stroke.txt.
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bool WriteRecoder(const UNICHARSET& unicharset, bool pass_through,
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const string& output_dir, const string& lang,
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FileWriter writer, STRING* radical_table_data,
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TessdataManager* traineddata);
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// The main function for combine_lang_model.cpp.
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// Returns EXIT_SUCCESS or EXIT_FAILURE for error.
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// unicharset: can be a hand-created file with incomplete fields. Its basic
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// and script properties will be set before it is used.
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// script_dir: should point to the langdata (github repo) directory.
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// version_str: arbitrary version label.
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// Output files will be written to <output_dir>/<lang>/<lang>.*
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// If pass_through_recoder is true, the unicharset will be used unchanged as
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// labels in the classifier, otherwise, the unicharset will be "compressed" to
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// make the recognition task simpler and faster.
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// The words/puncs/numbers lists may be all empty. If any are non-empty then
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// puncs must be non-empty.
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// lang_is_rtl indicates that the language is generally written from right
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// to left (eg Arabic/Hebrew).
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int CombineLangModel(const UNICHARSET& unicharset, const string& script_dir,
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const string& version_str, const string& output_dir,
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const string& lang, bool pass_through_recoder,
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const GenericVector<STRING>& words,
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const GenericVector<STRING>& puncs,
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const GenericVector<STRING>& numbers, bool lang_is_rtl,
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FileReader reader, FileWriter writer);
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} // namespace tesseract
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#endif // TESSERACT_TRAINING_LANG_MODEL_HELPERS_H_
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