ffmpeg-python/examples/split_silence.py at extra-examples2 · squidarth/ffmpeg-python · GitHub

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#!/usr/bin/env python

from __future__ import unicode_literals

import argparse

import copy

import errno

import ffmpeg

import json

import logging

import os

import re

import subprocess

import sys

logging.basicConfig(level=logging.INFO, format='%(message)s')

logger = logging.getLogger(__file__)

logger.setLevel(logging.INFO)

DEFAULT_DURATION = 0.3

DEFAULT_THRESHOLD = -30

parser = argparse.ArgumentParser(description='Split media into separate chunks wherever silence occurs')

parser.add_argument('in_filename', help='Input filename (`-` for stdin)')

parser.add_argument('out_pattern', help='Output filename pattern (e.g. `out/chunk_{:04d}.wav`)')

parser.add_argument('--silence-threshold', default=DEFAULT_THRESHOLD, type=int, help='Silence threshold (in dB)')

parser.add_argument('--silence-duration', default=DEFAULT_DURATION, type=float, help='Silence duration')

parser.add_argument('--start-time', type=float, help='Start time (seconds)')

parser.add_argument('--end-time', type=float, help='End time (seconds)')

parser.add_argument('--padding', type=float, default=0., help='Output silence padding (seconds)')

parser.add_argument('--min-chunk-time', type=float, default=0., help='Minimum chunk duration')

parser.add_argument('--max-silence-time', type=float, help='Maximum silence time before guaranteed chunk splitting')

parser.add_argument('--metadata-filename', help='Optional metadata output file')

parser.add_argument('-v', dest='verbose', action='store_true', help='Verbose mode')

silence_start_re = re.compile(' silence_start: (?P<start>[0-9]+(\.?[0-9]*))$')

silence_end_re = re.compile(' silence_end: (?P<end>[0-9]+(\.?[0-9]*)) ')

total_duration_re = re.compile(

'size=[^ ]+ time=(?P<hours>[0-9]{2}):(?P<minutes>[0-9]{2}):(?P<seconds>[0-9\.]{5}) bitrate=')

def _logged_popen(cmd_line, *args, **kwargs):

logger.debug('Running command: {}'.format(subprocess.list2cmdline(cmd_line)))

return subprocess.Popen(cmd_line, *args, **kwargs)

def get_chunk_times(in_filename, silence_threshold, silence_duration, start_time=None, end_time=None):

input_kwargs = {}

if start_time is not None:

input_kwargs['ss'] = start_time

else:

start_time = 0.

if end_time is not None:

input_kwargs['t'] = end_time - start_time

child = _logged_popen(

(ffmpeg

.input(in_filename, **input_kwargs)

.filter_('silencedetect', n='{}dB'.format(silence_threshold), d=silence_duration)

.output('-', format='null')

.compile()

) + ['-nostats'], # FIXME: use .nostats() once it's implemented in ffmpeg-python.

stderr=subprocess.PIPE

)

output = child.communicate()[1].decode('utf-8')

if child.returncode != 0:

sys.stderr.write(output)

sys.exit(1)

logger.debug(output)

lines = output.splitlines()

# Chunks start when silence ends, and chunks end when silence starts.

chunk_starts = []

chunk_ends = []

for line in lines:

silence_start_match = silence_start_re.search(line)

silence_end_match = silence_end_re.search(line)

total_duration_match = total_duration_re.search(line)

if silence_start_match:

chunk_ends.append(float(silence_start_match.group('start')))

if len(chunk_starts) == 0:

# Started with non-silence.

chunk_starts.append(start_time or 0.)

elif silence_end_match:

chunk_starts.append(float(silence_end_match.group('end')))

elif total_duration_match:

hours = int(total_duration_match.group('hours'))

minutes = int(total_duration_match.group('minutes'))

seconds = float(total_duration_match.group('seconds'))

end_time = hours * 3600 + minutes * 60 + seconds

if len(chunk_starts) == 0:

# No silence found.

chunk_starts.append(start_time)

if len(chunk_starts) > len(chunk_ends):

# Finished with non-silence.

chunk_ends.append(end_time or 10000000.)

return list(zip(chunk_starts, chunk_ends))

def _makedirs(path):

"""Python2-compatible version of ``os.makedirs(path, exist_ok=True)``."""

try:

if path:

os.makedirs(path)

except OSError as exc:

if exc.errno != errno.EEXIST or not os.path.isdir(path):

raise

def combine_chunks(chunk_times, min_chunk_time, max_silence_time=None):

chunk_times = copy.copy(chunk_times)

pop_chunk = lambda chunk_times: (chunk_times[0][0], chunk_times[0][1], chunk_times[1:])

new_chunk_times = []

while len(chunk_times) != 0:

# Start new chunk.

start_time, end_time, chunk_times = pop_chunk(chunk_times)

time = end_time - start_time

while time < min_chunk_time and len(chunk_times) != 0:

# Combine with next chunk.

next_start_time, next_end_time, chunk_times = pop_chunk(chunk_times)

if max_silence_time is not None and next_start_time - end_time > max_silence_time:

new_chunk_times.append((start_time, end_time))

start_time = next_start_time

end_time = next_end_time

time = end_time - start_time

new_chunk_times.append((start_time, end_time))

return new_chunk_times

def split_audio(

in_filename,

out_pattern,

silence_threshold=DEFAULT_THRESHOLD,

silence_duration=DEFAULT_DURATION,

start_time=None,

end_time=None,

padding=0.,

min_chunk_time=0.,

max_silence_time=None,

metadata_filename=None,

verbose=False,

chunk_times = get_chunk_times(in_filename, silence_threshold, silence_duration, start_time, end_time)

if min_chunk_time > 0.:

chunk_times = combine_chunks(chunk_times, min_chunk_time, max_silence_time)

metadata = []

for i, (start_time, end_time) in enumerate(chunk_times):

time = end_time - start_time

out_filename = out_pattern.format(i, i=i)

_makedirs(os.path.dirname(out_filename))

start_text = '{:.04f}'.format(start_time)

end_text = '{:.04f}'.format(end_time)

duration_text = '{:.04f}'.format(time)

metadata.append({

'filename': out_filename,

'start': start_text,

'end': end_text,

'duration': duration_text,

})

logger.info('{}: start={}, end={}, duration={}'.format(out_filename, start_text, end_text, duration_text))

input = ffmpeg.input(in_filename, ss=start_time, t=time)

if padding > 0.:

silence = ffmpeg.input('anullsrc', format='lavfi', t=padding)

input = ffmpeg.concat(silence, input, silence, v=0, a=1)

child = _logged_popen(

(input

.output(out_filename)

.overwrite_output()

.compile()

stdout=subprocess.PIPE if not verbose else None,

stderr=subprocess.PIPE if not verbose else None,

)

out = child.communicate()

if child.returncode != 0:

if not verbose:

sys.stderr.write(out[1].decode('utf-8'))

if metadata_filename is not None:

_makedirs(os.path.dirname(metadata_filename))

with open(metadata_filename, 'w') as f:

json.dump(metadata, f)

if __name__ == '__main__':

kwargs = vars(parser.parse_args())

if kwargs['verbose']:

logging.basicConfig(level=logging.DEBUG, format='%(levels): %(message)s')

logger.setLevel(logging.DEBUG)

split_audio(**kwargs)

ffmpeg-python/examples/split_silence.py at extra-examples2 · squidarth/ffmpeg-python · GitHub

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