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egs/yomdle_zh/v1/local/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]).replace(' ', '') if os.path.isfile(image_filepath) and os.stat(image_filepath).st_size != 0 and text: text_fh.write(image_id + ' ' + text + ' ') utt2spk_fh.write(image_id + ' ' + '_'.join(image_id.split('_')[:-1]) + ' ') image_fh.write(image_id + ' ' + image_filepath + ' ' + row[13] + ' ') |