/usr/bin/tesstrain.sh is in libtesseract-dev 3.04.01-5.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | #!/bin/bash
# (C) Copyright 2014, 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.
#
# This script provides an easy way to execute various phases of training
# Tesseract. For a detailed description of the phases, see
# https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract
#
# USAGE:
#
# tesstrain.sh
# --fontlist FONTS # A list of fontnames to train on.
# --fonts_dir FONTS_PATH # Path to font files.
# --lang LANG_CODE # ISO 639 code.
# --langdata_dir DATADIR # Path to tesseract/training/langdata directory.
# --output_dir OUTPUTDIR # Location of output traineddata file.
# --overwrite # Safe to overwrite files in output_dir.
# --run_shape_clustering # Run shape clustering (use for Indic langs).
# --exposures EXPOSURES # A list of exposure levels to use (e.g. "-1 0 1").
#
# OPTIONAL flags for input data. If unspecified we will look for them in
# the langdata_dir directory.
# --training_text TEXTFILE # Text to render and use for training.
# --wordlist WORDFILE # Word list for the language ordered by
# # decreasing frequency.
#
# OPTIONAL flag to specify location of existing traineddata files, required
# during feature extraction. If unspecified will use TESSDATA_PREFIX defined in
# the current environment.
# --tessdata_dir TESSDATADIR # Path to tesseract/tessdata directory.
#
# NOTE:
# The font names specified in --fontlist need to be recognizable by Pango using
# fontconfig. An easy way to list the canonical names of all fonts available on
# your system is to run text2image with --list_available_fonts and the
# appropriate --fonts_dir path.
export BINDIR=/usr/bin
export TESSDATA_DIR=/usr/share/tesseract-ocr/tessdata
source /usr/share/tesseract-ocr/tesstrain_utils.sh
ARGV=("$@")
parse_flags
mkdir -p ${TRAINING_DIR}
tlog "\n=== Starting training for language '${LANG_CODE}'"
source /usr/share/tesseract-ocr/language-specific.sh
set_lang_specific_parameters ${LANG_CODE}
initialize_fontconfig
phase_I_generate_image 8
phase_UP_generate_unicharset
phase_D_generate_dawg
phase_E_extract_features "box.train" 8
phase_C_cluster_prototypes "${TRAINING_DIR}/${LANG_CODE}.normproto"
if [[ "${ENABLE_SHAPE_CLUSTERING}" == "y" ]]; then
phase_S_cluster_shapes
fi
phase_M_cluster_microfeatures
phase_B_generate_ambiguities
make__traineddata
tlog "\nCompleted training for language '${LANG_CODE}'\n"
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