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preprocess_datainfo.py
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preprocess_datainfo.py
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"""
Preprocessing datainfo
tokenize, lowercase, etc.
"""
import os
import json
import argparse
import numpy as np
import string
import logging
from datetime import datetime
logger = logging.getLogger(__name__)
def prepro_captions(videos):
logger.info("Preprocessing %d videos", len(videos))
translator = str.maketrans('', '', string.punctuation)
for i, v in enumerate(videos):
v['processed_tokens'] = []
if i % 100 == 0:
logger.info("%d/%d video processed", i, len(videos))
for caption in v['captions']:
caption_ascii = ''.join(
[ii if ord(ii) < 128 else '' for ii in caption])
tokens = str(caption_ascii).lower().translate(
translator).strip().split()
v['processed_tokens'].append(tokens)
def main(input_json, output_json):
infos = json.load(open(input_json, 'r'))
annots = infos['captions']
logger.info('group annotations by video')
vtoa = {}
for ann in annots:
vtoa.setdefault(ann['video_id'], []).append(ann)
logger.info('create the json blob')
videos = []
for i, v in enumerate(infos['videos']):
jvid = {}
jvid['category'] = v.get('category', 'unknown')
jvid['video_id'] = v['id']
sents = []
annotsi = vtoa.get(v['id'], []) # at test time, there is no captions
for a in annotsi:
sents.append(a['caption'])
jvid['captions'] = sents
videos.append(jvid)
logger.info('Tokenizing and preprocessing')
prepro_captions(videos)
logger.info('Writing to: %s', output_json)
json.dump(videos, open(output_json, 'w'))
######################################################################
if __name__ == "__main__":
logging.basicConfig(level=logging.DEBUG,
format='%(asctime)s:%(levelname)s: %(message)s')
parser = argparse.ArgumentParser()
parser.add_argument('input_json', type=str,
help='standalized input json')
parser.add_argument(
'output_json', type=str, help='output tokenized json file')
args = parser.parse_args()
logger.info('Input arguments: %s', args)
start = datetime.now()
main(args.input_json, args.output_json)
logger.info('Time: %s', datetime.now() - start)