mirror of
https://github.com/tesseract-ocr/tesseract.git
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82 lines
3.9 KiB
C++
82 lines
3.9 KiB
C++
// Copyright 2017 Google Inc. All Rights Reserved.
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// Author: rays@google.com (Ray Smith)
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// Purpose: Program to generate a traineddata file that can be used to train an
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// LSTM-based neural network model from a unicharset and an optional
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// set of wordlists. Eliminates the need to run
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// set_unicharset_properties, wordlist2dawg, some non-existent binary
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// to generate the recoder, and finally combine_tessdata.
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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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#include "commandlineflags.h"
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#include "commontraining.h" // CheckSharedLibraryVersion
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#include "lang_model_helpers.h"
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#include "tprintf.h"
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#include "unicharset_training_utils.h"
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STRING_PARAM_FLAG(input_unicharset, "",
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"Filename with unicharset to complete and use in encoding");
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STRING_PARAM_FLAG(script_dir, "",
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"Directory name for input script unicharsets");
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STRING_PARAM_FLAG(words, "",
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"File listing words to use for the system dictionary");
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STRING_PARAM_FLAG(puncs, "", "File listing punctuation patterns");
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STRING_PARAM_FLAG(numbers, "", "File listing number patterns");
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STRING_PARAM_FLAG(output_dir, "", "Root directory for output files");
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STRING_PARAM_FLAG(version_str, "", "Version string to add to traineddata file");
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STRING_PARAM_FLAG(lang, "", "Name of language being processed");
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BOOL_PARAM_FLAG(lang_is_rtl, false,
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"True if lang being processed is written right-to-left");
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BOOL_PARAM_FLAG(pass_through_recoder, false,
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"If true, the recoder is a simple pass-through of the"
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" unicharset. Otherwise, potentially a compression of it");
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int main(int argc, char** argv) {
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// Sets properties on the input unicharset file, and writes:
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// rootdir/lang/lang.charset_size=ddd.txt
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// rootdir/lang/lang.traineddata
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// rootdir/lang/lang.unicharset
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// If the 3 word lists are provided, the dawgs are also added
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// to the traineddata file.
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// The output unicharset and charset_size files are just for
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// human readability.
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tesseract::CheckSharedLibraryVersion();
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tesseract::ParseCommandLineFlags(argv[0], &argc, &argv, true);
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GenericVector<STRING> words, puncs, numbers;
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// If these reads fail, we get a warning message and an empty list of words.
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tesseract::ReadFile(FLAGS_words.c_str(), nullptr).split('\n', &words);
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tesseract::ReadFile(FLAGS_puncs.c_str(), nullptr).split('\n', &puncs);
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tesseract::ReadFile(FLAGS_numbers.c_str(), nullptr).split('\n', &numbers);
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// Load the input unicharset
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UNICHARSET unicharset;
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if (!unicharset.load_from_file(FLAGS_input_unicharset.c_str(), false)) {
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tprintf("Failed to load unicharset from %s\n",
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FLAGS_input_unicharset.c_str());
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return 1;
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}
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tprintf("Loaded unicharset of size %d from file %s\n", unicharset.size(),
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FLAGS_input_unicharset.c_str());
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// Set unichar properties
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tprintf("Setting unichar properties\n");
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tesseract::SetupBasicProperties(/*report_errors*/ true,
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/*decompose (NFD)*/ false, &unicharset);
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tprintf("Setting script properties\n");
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tesseract::SetScriptProperties(FLAGS_script_dir.c_str(), &unicharset);
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// Combine everything into a traineddata file.
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return tesseract::CombineLangModel(
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unicharset, FLAGS_script_dir.c_str(), FLAGS_version_str.c_str(),
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FLAGS_output_dir.c_str(), FLAGS_lang.c_str(), FLAGS_pass_through_recoder,
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words, puncs, numbers, FLAGS_lang_is_rtl, /*reader*/ nullptr,
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/*writer*/ nullptr);
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}
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