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autoditor.py
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210
autoditor.py
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import moviepy.editor as mp
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import numpy as np
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from matplotlib import pyplot as plt
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import pandas as pd
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import scipy.io.wavfile as wav
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from typing import Tuple
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from itertools import zip_longest
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import argparse
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import os
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import tempfile
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class Moment:
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def __init__(self, start, stop):
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self.start = start
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self.stop = stop
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self.duration = 0
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if stop is not None:
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self.duration = stop - start
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def __str__(self):
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return f"Start {self.start} \t\t Stop {self.stop} \t\t Duration {self.duration}"
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def __repr__(self):
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return f"Start {self.start} \t\t Stop {self.stop} \t\t Duration {self.duration}"
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def process_audio(source_audio_path: str) -> Tuple[np.ndarray, int, int]:
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rate, data_raw = wav.read(source_audio_path)
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data_raw = data_raw.astype(np.int32)
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mono = (data_raw[:,0] + data_raw[:,1])/2
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duration = len(mono) / rate
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return mono, duration, rate
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def convert_video_to_audio(source_video_path: str, destination_audio_location = None) -> str:
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tdir = tempfile.gettempdir()
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dest_location = f"{tdir}/{source_video_path}.wav"
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print(f"checking to see if {dest_location} exists")
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if destination_audio_location is not None:
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dest_location = destination_audio_location
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if os.path.isfile(dest_location):
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print(f"{dest_location} exists, using cached")
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return dest_location
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vid = mp.VideoFileClip(source_video_path)
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vid.audio.write_audiofile(dest_location)
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vid.close()
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return dest_location
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def get_subclips(source_video_path: str, moments):
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vid = mp.VideoFileClip(source_video_path)
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clips = []
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for m in moments:
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if m.duration > 30:
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clips.append(vid.subclip(m.start, m.stop))
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return clips
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def sub_resample(data: np.ndarray, factor: int):
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return data[::factor].copy()
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def moving_average(x, w):
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return np.convolve(x, np.ones(w), 'valid') / w
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def find_highlights(data, threshold, rate, factor):
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chunks = []
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for i in range(len(data) - 1):
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if data[i] < threshold < data[i + 1]:
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chunks.append(i * factor / rate)
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return chunks
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def find_moving_average_highlights(short_ma, long_ma, bitrate, resample_factor):
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in_a_clip = False
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timestamps = []
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for t in range(1, len(long_ma)):
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if not in_a_clip and (short_ma[t - 1] < long_ma[t - 1]) and (short_ma[t] > long_ma[t]):
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in_a_clip = True
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timestamps.append(t * resample_factor / bitrate)
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elif in_a_clip and (short_ma[t - 1] > long_ma[t - 1]) and (short_ma[t] < long_ma[t]):
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in_a_clip = False
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timestamps.append(t * resample_factor / bitrate)
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ret_list = []
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raw_moments = list(blockwise(timestamps))
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for rm in raw_moments:
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ret_list.append(Moment(rm[0], rm[1]))
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return ret_list
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def blockwise(t, size=2, fillvalue=None):
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it = iter(t)
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return zip_longest(*[it]*size, fillvalue=fillvalue)
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def plot_audio(data):
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plt.plot(list(range(len(data))), data)
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plt.show()
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def main(vidfilepath, outfile, res_factor, lw, sw, dry_run, minduration, maxduration):
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try:
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videofile = vidfilepath
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audiofile = convert_video_to_audio(videofile)
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data, duration, bitrate = process_audio(audiofile)
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RESAMPLE_FACTOR = res_factor
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subsampled_data = sub_resample(data, RESAMPLE_FACTOR)
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squared_subsample = np.square(subsampled_data)
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LONG_WINDOW = lw
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SHORT_WINDOW = sw
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assert(LONG_WINDOW > SHORT_WINDOW)
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long_ma = moving_average(squared_subsample, LONG_WINDOW)
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short_ma = moving_average(squared_subsample, SHORT_WINDOW)
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moments = find_moving_average_highlights(short_ma, long_ma, bitrate, RESAMPLE_FACTOR)
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total_time = 0
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for m in moments:
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if m.duration > minduration and m.duration < maxduration:
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print(f"Start {round(m.start/60, 2)} \t\t Stop {round(m.stop/60, 2)} \t\t Duration {round(m.duration, 2)}")
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total_time = total_time + m.duration
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print(total_time/60)
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if not dry_run:
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clips = get_subclips(videofile, moments)
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clips
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to_render = mp.concatenate_videoclips(clips)
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to_render.write_videofile(outfile)
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os.remove(audiofile)
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except:
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os.remove(audiofile)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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prog="autoditor",
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description="autoditor is an automatic video editor."
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)
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parser.add_argument(
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"-v",
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"--video",
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required=True,
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metavar="Video file path",
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dest="vpath"
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)
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parser.add_argument(
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"-f",
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"--factor",
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default=16000,
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metavar="Subsampling factor",
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dest="factor",
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type=int
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)
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parser.add_argument(
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"-l",
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"--longwindow",
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default=128,
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metavar="Long moving average time",
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dest="lwindow",
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type=int
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)
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parser.add_argument(
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"-s",
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"--shortwindow",
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default=64,
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metavar="Short moving average time",
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dest="swindow",
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type=int
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)
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parser.add_argument(
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"-d",
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"--dryrun",
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dest="drun",
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action="store_true"
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)
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parser.add_argument(
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"-o",
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"--output",
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required=True,
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metavar="Output file location",
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dest="opath"
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)
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parser.add_argument(
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"-i",
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"--minduration",
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default=30,
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metavar="Minimum clip duration",
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dest="mindur",
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type=int
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)
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parser.add_argument(
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"-m",
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"--maxduration",
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default=100,
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metavar="Maximum clip duration",
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dest="maxdur",
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type=int
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)
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args = parser.parse_args()
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# def main(vidfilepath, outfile, res_factor, lw, sw, dry_run):
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main(args.vpath, args.opath, args.factor, args.lwindow, args.swindow, args.drun, args.mindur, args.maxdur)
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