tesseract/training/combine_lang_model.cpp
Stefan Weil 8c3045f161 Check library version for training executables
Signed-off-by: Stefan Weil <sw@weilnetz.de>
2018-04-15 11:31:28 +02:00

91 lines
4.4 KiB
C++

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