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egs/iam/v1/local/process_aachen_splits.py
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#!/usr/bin/env python3
# Copyright 2017 Chun Chieh Chang
# 2017 Ashish Arora
""" This script reads the extracted IAM database files and creates
the following files (for the data subset selected via --dataset):
text, utt2spk, images.scp.
Eg. local/process_aachen_splits.py data/local data/train data --dataset train
Eg. text file: 000_a01-000u-00 A MOVE to stop Mr. Gaitskell from
utt2spk file: 000_a01-000u-00 000
images.scp file: 000_a01-000u-00 data/local/lines/a01/a01-000u/a01-000u-00.png
"""
import argparse
import os
import sys
import xml.dom.minidom as minidom
parser = argparse.ArgumentParser(description="""Creates text, utt2spk
and images.scp files.""")
parser.add_argument('database_path', type=str,
help='Path to the downloaded (and extracted) IAM data')
parser.add_argument('split_path', type=str,
help='location of the train/test/val set')
parser.add_argument('out_dir', type=str,
help='location to write output files.')
parser.add_argument('--dataset', type=str, default='train',
choices=['train', 'test','validation'],
help='Subset of data to process.')
args = parser.parse_args()
text_file = os.path.join(args.out_dir + '/', 'text')
text_fh = open(text_file, 'w')
utt2spk_file = os.path.join(args.out_dir + '/', 'utt2spk')
utt2spk_fh = open(utt2spk_file, 'w')
image_file = os.path.join(args.out_dir + '/', 'images.scp')
image_fh = open(image_file, 'w')
dataset_path = os.path.join(args.split_path,
args.dataset + '.uttlist')
text_file_path = os.path.join(args.database_path,
'ascii','lines.txt')
text_dict = {}
def process_text_file_for_word_model():
with open (text_file_path, 'rt') as in_file:
for line in in_file:
if line[0]=='#':
continue
line = line.strip()
utt_id = line.split(' ')[0]
text_vect = line.split(' ')[8:]
text = "".join(text_vect)
text = text.replace("|", " ")
text_dict[utt_id] = text
### main ###
print("Processing '{}' data...".format(args.dataset))
process_text_file_for_word_model()
with open(dataset_path) as f:
for line in f:
line = line.strip()
line_vect = line.split('-')
xml_file = line_vect[0] + '-' + line_vect[1]
xml_path = os.path.join(args.database_path, 'xml', xml_file + '.xml')
doc = minidom.parse(xml_path)
form_elements = doc.getElementsByTagName('form')[0]
writer_id = form_elements.getAttribute('writer-id')
outerfolder = form_elements.getAttribute('id')[0:3]
innerfolder = form_elements.getAttribute('id')
lines_path = os.path.join(args.database_path, 'lines',
outerfolder, innerfolder)
for file in os.listdir(lines_path):
if file.endswith(".png"):
image_file_path = os.path.join(lines_path, file)
base_name = os.path.splitext(os.path.basename(image_file_path))[0]
text = text_dict[base_name]
utt_id = writer_id + '_' + base_name
text_fh.write(utt_id + ' ' + text + '
')
utt2spk_fh.write(utt_id + ' ' + writer_id + '
')
image_fh.write(utt_id + ' ' + image_file_path + '
')
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