process_data.py
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#!/usr/bin/env python3
# Copyright 2018 Ashish Arora
# 2018 Chun Chieh Chang
""" This script reads the extracted Farsi OCR (yomdle and slam) database files
and creates the following files (for the data subset selected via --dataset):
text, utt2spk, images.scp.
Eg. local/process_data.py data/download/ data/local/splits/train.txt data/train
Eg. text file: english_phone_books_0001_1 To sum up, then, it would appear that
utt2spk file: english_phone_books_0001_0 english_phone_books_0001
images.scp file: english_phone_books_0001_0 \
data/download/truth_line_image/english_phone_books_0001_0.png
"""
import argparse
import os
import sys
import csv
import itertools
import unicodedata
parser = argparse.ArgumentParser(description="Creates text, utt2spk, and images.scp files")
parser.add_argument('database_path', type=str, help='Path to data')
parser.add_argument('out_dir', type=str, help='directory to output files')
parser.add_argument('--head', type=int, default=-1, help='limit on number of synth data')
args = parser.parse_args()
### main ###
print("Processing '{}' data...".format(args.out_dir))
text_file = os.path.join(args.out_dir, 'text')
text_fh = open(text_file, 'w', encoding='utf-8')
utt2spk_file = os.path.join(args.out_dir, 'utt2spk')
utt2spk_fh = open(utt2spk_file, 'w', encoding='utf-8')
image_file = os.path.join(args.out_dir, 'images.scp')
image_fh = open(image_file, 'w', encoding='utf-8')
count = 0
for filename in sorted(os.listdir(os.path.join(args.database_path, 'truth_csv'))):
if filename.endswith('.csv') and (count < args.head or args.head < 0):
count = count + 1
csv_filepath = os.path.join(args.database_path, 'truth_csv', filename)
csv_file = open(csv_filepath, 'r', encoding='utf-8')
row_count = 0
for row in csv.reader(csv_file):
if row_count == 0:
row_count = 1
continue
image_id = os.path.splitext(row[1])[0]
image_filepath = os.path.join(args.database_path, 'truth_line_image', row[1])
text = unicodedata.normalize('NFC', row[11])
file_info = os.stat(image_filepath)
if file_info.st_size != 0:
if text:
text_fh.write(image_id + ' ' + text + '\n')
utt2spk_fh.write(image_id + ' ' + '_'.join(image_id.split('_')[:-1]) + '\n')
image_fh.write(image_id + ' ' + image_filepath + ' ' + row[13] + '\n')