mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-12-19 03:54:10 +08:00
79 lines
3.0 KiB
Bash
Executable File
79 lines
3.0 KiB
Bash
Executable File
#!/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.
|
|
# --linedata_only # Only generate training data for lstmtraining.
|
|
# --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.
|
|
|
|
|
|
source `dirname $0`/tesstrain_utils.sh
|
|
|
|
ARGV=("$@")
|
|
parse_flags
|
|
|
|
mkdir -p ${TRAINING_DIR}
|
|
tlog "\n=== Starting training for language '${LANG_CODE}'"
|
|
|
|
source `dirname $0`/language-specific.sh
|
|
set_lang_specific_parameters ${LANG_CODE}
|
|
|
|
initialize_fontconfig
|
|
|
|
phase_I_generate_image 8
|
|
phase_UP_generate_unicharset
|
|
phase_D_generate_dawg
|
|
if (( ${LINEDATA} )); then
|
|
phase_E_extract_features "lstm.train" 8 "lstmf"
|
|
make__lstmdata
|
|
else
|
|
phase_E_extract_features "box.train" 8 "tr"
|
|
phase_C_cluster_prototypes "${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
|
|
fi
|
|
|
|
tlog "\nCompleted training for language '${LANG_CODE}'\n"
|