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# ------------------------------------------------------------------------------
# Adapted from https://github.com/activitynet/ActivityNet/
# Original licence: Copyright (c) Microsoft, under the MIT License.
# ------------------------------------------------------------------------------
import argparse
import glob
import json
import os
import shutil
import ssl
import subprocess
import uuid
from collections import OrderedDict
import pandas as pd
from joblib import Parallel, delayed
ssl._create_default_https_context = ssl._create_unverified_context
def create_video_folders(dataset, output_dir, tmp_dir):
"""Creates a directory for each label name in the dataset."""
if 'label-name' not in dataset.columns:
this_dir = os.path.join(output_dir, 'test')
if not os.path.exists(this_dir):
os.makedirs(this_dir)
# I should return a dict but ...
return this_dir
if not os.path.exists(output_dir):
os.makedirs(output_dir)
if not os.path.exists(tmp_dir):
os.makedirs(tmp_dir)
label_to_dir = {}
for label_name in dataset['label-name'].unique():
this_dir = os.path.join(output_dir, label_name)
if not os.path.exists(this_dir):
os.makedirs(this_dir)
label_to_dir[label_name] = this_dir
return label_to_dir
def construct_video_filename(row, label_to_dir, trim_format='%06d'):
"""Given a dataset row, this function constructs the output filename for a
given video."""
basename = '%s_%s_%s.mp4' % (row['video-id'],
trim_format % row['start-time'],
trim_format % row['end-time'])
if not isinstance(label_to_dir, dict):
dirname = label_to_dir
else:
dirname = label_to_dir[row['label-name']]
output_filename = os.path.join(dirname, basename)
return output_filename
def download_clip(video_identifier,
output_filename,
start_time,
end_time,
tmp_dir='/tmp/kinetics/.tmp_dir',
num_attempts=5,
url_base='https://www.youtube.com/watch?v='):
"""Download a video from youtube if exists and is not blocked.
arguments:
---------
video_identifier: str
Unique YouTube video identifier (11 characters)
output_filename: str
File path where the video will be stored.
start_time: float
Indicates the beginning time in seconds from where the video
will be trimmed.
end_time: float
Indicates the ending time in seconds of the trimmed video.
"""
# Defensive argument checking.
assert isinstance(video_identifier, str), 'video_identifier must be string'
assert isinstance(output_filename, str), 'output_filename must be string'
assert len(video_identifier) == 11, 'video_identifier must have length 11'
status = False
# Construct command line for getting the direct video link.
tmp_filename = os.path.join(tmp_dir, '%s.%%(ext)s' % uuid.uuid4())
if not os.path.exists(output_filename):
if not os.path.exists(tmp_filename):
command = [
'youtube-dl', '--quiet', '--no-warnings',
'--no-check-certificate', '-f', 'mp4', '-o',
'"%s"' % tmp_filename,
'"%s"' % (url_base + video_identifier)
]
command = ' '.join(command)
print(command)
attempts = 0
while True:
try:
subprocess.check_output(
command, shell=True, stderr=subprocess.STDOUT)
except subprocess.CalledProcessError as err:
attempts += 1
if attempts == num_attempts:
return status, err.output
else:
break
tmp_filename = glob.glob('%s*' % tmp_filename.split('.')[0])[0]
# Construct command to trim the videos (ffmpeg required).
command = [
'ffmpeg', '-i',
'"%s"' % tmp_filename, '-ss',
str(start_time), '-t',
str(end_time - start_time), '-c:v', 'libx264', '-c:a', 'copy',
'-threads', '1', '-loglevel', 'panic',
'"%s"' % output_filename
]
command = ' '.join(command)
try:
subprocess.check_output(
command, shell=True, stderr=subprocess.STDOUT)
except subprocess.CalledProcessError as err:
return status, err.output
# Check if the video was successfully saved.
status = os.path.exists(output_filename)
os.remove(tmp_filename)
return status, 'Downloaded'
def download_clip_wrapper(row, label_to_dir, trim_format, tmp_dir):
"""Wrapper for parallel processing purposes."""
output_filename = construct_video_filename(row, label_to_dir, trim_format)
clip_id = os.path.basename(output_filename).split('.mp4')[0]
if os.path.exists(output_filename):
status = tuple([clip_id, True, 'Exists'])
return status
downloaded, log = download_clip(
row['video-id'],
output_filename,
row['start-time'],
row['end-time'],
tmp_dir=tmp_dir)
status = tuple([clip_id, downloaded, log])
return status
def parse_kinetics_annotations(input_csv, ignore_is_cc=False):
"""Returns a parsed DataFrame.
arguments:
---------
input_csv: str
Path to CSV file containing the following columns:
'YouTube Identifier,Start time,End time,Class label'
returns:
-------
dataset: DataFrame
Pandas with the following columns:
'video-id', 'start-time', 'end-time', 'label-name'
"""
df = pd.read_csv(input_csv)
if 'youtube_id' in df.columns:
columns = OrderedDict([('youtube_id', 'video-id'),
('time_start', 'start-time'),
('time_end', 'end-time'),
('label', 'label-name')])
df.rename(columns=columns, inplace=True)
if ignore_is_cc:
df = df.loc[:, df.columns.tolist()[:-1]]
return df
def main(input_csv,
output_dir,
trim_format='%06d',
num_jobs=24,
tmp_dir='/tmp/kinetics'):
tmp_dir = os.path.join(tmp_dir, '.tmp_dir')
# Reading and parsing Kinetics.
dataset = parse_kinetics_annotations(input_csv)
# Creates folders where videos will be saved later.
label_to_dir = create_video_folders(dataset, output_dir, tmp_dir)
# Download all clips.
if num_jobs == 1:
status_list = []
for _, row in dataset.iterrows():
status_list.append(
download_clip_wrapper(row, label_to_dir, trim_format, tmp_dir))
else:
status_list = Parallel(
n_jobs=num_jobs)(delayed(download_clip_wrapper)(
row, label_to_dir, trim_format, tmp_dir)
for i, row in dataset.iterrows())
# Clean tmp dir.
shutil.rmtree(tmp_dir)
# Save download report.
with open('download_report.json', 'w') as fobj:
fobj.write(json.dumps(status_list))
if __name__ == '__main__':
description = 'Helper script for downloading and trimming kinetics videos.'
p = argparse.ArgumentParser(description=description)
p.add_argument(
'input_csv',
type=str,
help=('CSV file containing the following format: '
'YouTube Identifier,Start time,End time,Class label'))
p.add_argument(
'output_dir',
type=str,
help='Output directory where videos will be saved.')
p.add_argument(
'-f',
'--trim-format',
type=str,
default='%06d',
help=('This will be the format for the '
'filename of trimmed videos: '
'videoid_%0xd(start_time)_%0xd(end_time).mp4'))
p.add_argument('-n', '--num-jobs', type=int, default=24)
p.add_argument('-t', '--tmp-dir', type=str, default='/tmp/kinetics')
# help='CSV file of the previous version of Kinetics.')
main(**vars(p.parse_args()))
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