296 lines
8.7 KiB
Python
296 lines
8.7 KiB
Python
# -*- coding: utf-8 -*-
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# vi:si:et:sw=4:sts=4:ts=4
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from __future__ import division, with_statement
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import os
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from os.path import abspath, join, dirname, exists
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import fractions
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import subprocess
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import sys
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import shutil
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import tempfile
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import time
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import re
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import math
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from glob import glob
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import numpy as np
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import Image
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import ox
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from ox.utils import json
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img_extension='jpg'
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FFMPEG2THEORA = 'ffmpeg2theora'
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class AspectRatio(fractions.Fraction):
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def __new__(cls, numerator, denominator=None):
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if not denominator:
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ratio = map(int, numerator.split(':'))
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if len(ratio) == 1: ratio.append(1)
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numerator = ratio[0]
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denominator = ratio[1]
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#if its close enough to the common aspect ratios rather use that
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if abs(numerator/denominator - 4/3) < 0.03:
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numerator = 4
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denominator = 3
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elif abs(numerator/denominator - 16/9) < 0.02:
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numerator = 16
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denominator = 9
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return super(AspectRatio, cls).__new__(cls, numerator, denominator)
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@property
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def ratio(self):
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return "%d:%d" % (self.numerator, self.denominator)
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def stream(video, target, profile, info):
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if not os.path.exists(target):
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fdir = os.path.dirname(target)
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if not os.path.exists(fdir):
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os.makedirs(fdir)
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dar = AspectRatio(info['video'][0]['display_aspect_ratio'])
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'''
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WebM look into
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lag
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mb_static_threshold
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qmax/qmin
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rc_buf_aggressivity=0.95
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token_partitions=4
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level / speedlevel
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bt?
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H264, should bitrates be a bit lower? other stuff possible?
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'''
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profile, format = profile.split('.')
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if profile == '1080p':
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height = 1080
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audiorate = 48000
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audioquality = 6
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audiobitrate = None
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audiochannels = None
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if profile == '720p':
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height = 720
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audiorate = 48000
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audioquality = 5
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audiobitrate = None
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audiochannels = None
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if profile == '480p':
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height = 480
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audiorate = 44100
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audioquality = 2
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audiobitrate = None
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audiochannels = 2
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elif profile == '360p':
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height = 360
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audiorate = 44100
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audioquality = 1
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audiobitrate = None
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audiochannels = 1
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elif profile == '270p':
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height = 270
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audiorate = 44100
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audioquality = 0
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audiobitrate = None
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audiochannels = 1
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else:
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height = 96
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audiorate = 22050
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audioquality = -1
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audiobitrate = '22k'
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audiochannels = 1
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bpp = 0.17
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fps = AspectRatio(info['video'][0]['framerate'])
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width = int(dar * height)
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width += width % 2
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bitrate = height*width*fps*bpp/1000
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aspect = dar.ratio
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#use 1:1 pixel aspect ratio if dar is close to that
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if abs(width/height - dar) < 0.02:
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aspect = '%s:%s' % (width, height)
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if info['audio']:
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audio_settings = ['-ar', str(audiorate), '-aq', str(audioquality)]
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if audiochannels and 'channels' in info['audio'][0] and info['audio'][0]['channels'] > audiochannels:
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audio_settings += ['-ac', str(audiochannels)]
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if audiobitrate:
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audio_settings += ['-ab', audiobitrate]
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if format == 'mp4':
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audio_settings += ['-acodec', 'libfaac']
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else:
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audio_settings += ['-acodec', 'libvorbis']
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else:
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audio_settings = ['-an']
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if info['video']:
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video_settings = [
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'-vb', '%dk'%bitrate, '-g', '%d' % int(fps*2),
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'-s', '%dx%d'%(width, height),
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'-aspect', aspect,
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]
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if format == 'mp4':
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video_settings += [
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'-vcodec', 'libx264',
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'-flags', '+loop+mv4',
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'-cmp', '256',
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'-partitions', '+parti4x4+parti8x8+partp4x4+partp8x8+partb8x8',
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'-me_method', 'hex',
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'-subq', '7',
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'-trellis', '1',
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'-refs', '5',
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'-bf', '3',
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'-flags2', '+bpyramid+wpred+mixed_refs+dct8x8',
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'-coder', '1',
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'-me_range', '16',
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'-keyint_min', '25', #FIXME: should this be related to fps?
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'-sc_threshold','40',
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'-i_qfactor', '0.71',
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'-qmin', '10', '-qmax', '51',
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'-qdiff', '4'
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]
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else:
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video_settings = ['-vn']
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ffmpeg = FFMPEG2THEORA.replace('2theora', '')
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cmd = [ffmpeg, '-y', '-threads', '2', '-i', video] \
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+ audio_settings \
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+ video_settings
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if format == 'mp4':
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cmd += ["%s.mp4"%target]
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else:
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cmd += ['-f','webm', target]
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print cmd
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p = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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p.wait()
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if format == 'mp4':
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cmd = ['qt-faststart', "%s.mp4"%target, target]
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print cmd
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p = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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p.wait()
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os.unlink("%s.mp4"%target)
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def run_command(cmd, timeout=10):
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p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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while timeout > 0:
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time.sleep(0.2)
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timeout -= 0.2
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if p.poll() != None:
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return p.returncode
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if p.poll() == None:
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os.kill(p.pid, 9)
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killedpid, stat = os.waitpid(p.pid, os.WNOHANG)
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return p.returncode
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def frame(videoFile, position, baseFolder, width=128, redo=False):
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'''
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params:
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videoFile
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position as float in seconds
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baseFolder to write frames to
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width of frame
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redo boolean to extract file even if it exists
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'''
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def frame_path(size):
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return os.path.join(baseFolder, "%s.%s.%s" % (ox.ms2time(position*1000), size, img_extension))
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#not using input file, to slow to extract frame right now
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base_size = 320
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frame = frame_path(base_size)
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if exists(videoFile):
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if redo or not exists(frame):
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if not exists(baseFolder):
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os.makedirs(baseFolder)
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cmd = ['oggThumb', '-t', str(position), '-n', frame, '-s', '%dx0'%base_size, videoFile]
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run_command(cmd)
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if width != base_size:
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frame_base = frame
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frame = frame_path(width)
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if not exists(frame):
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resize_image(frame_base, frame, width)
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return frame
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def resize_image(image_source, image_output, width):
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if exists(image_source):
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source = Image.open(image_source)
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source_width = source.size[0]
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source_height = source.size[1]
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height = int(width / (float(source_width) / source_height))
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height = height - height % 2
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if width < source_width:
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resize_method = Image.ANTIALIAS
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else:
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resize_method = Image.BICUBIC
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output = source.resize((width, height), resize_method)
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output.save(image_output)
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def timeline(video, prefix):
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cmd = ['oxtimeline', '-i', video, '-o', prefix]
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p = subprocess.Popen(cmd, stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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p.wait()
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#stats based on timeline images
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def average_color(prefix):
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height = 64
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width = 1500
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frames = 0
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pixels = []
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color = np.asarray([0, 0, 0], dtype=np.float32)
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for image in sorted(glob("%s.%d.*.png" % (prefix, height))):
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timeline = Image.open(image)
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frames += timeline.size[0]
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p = np.asarray(timeline, dtype=np.float32)
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p = np.sum(p, axis=0) / height #average color per frame
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pixels.append(p)
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for i in range(0, len(pixels)):
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p = np.sum(pixels[i], axis=0) / frames
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color += p
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return list(color)
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def get_distance(rgb0, rgb1):
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dst = math.sqrt(pow(rgb0[0] - rgb1[0], 2) + pow(rgb0[0] - rgb1[0], 2) + pow(rgb0[0] - rgb1[0], 2))
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return dst / math.sqrt(3 * pow(255, 2))
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def cuts(prefix):
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cuts = []
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fps = 25
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frames = 0
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height = 64
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width = 1500
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pixels = []
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for image in sorted(glob("%s.%d.*.png" % (prefix, height))):
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timeline = Image.open(image)
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frames += timeline.size[0]
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pixels.append(timeline.load())
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for frame in range(0, frames):
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x = frame % width
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if frame > 0:
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dst = 0
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image0 = int((frame - 1) / width)
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image1 = int(frame / width)
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for y in range(0, height):
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rgb0 = pixels[image0][(x - 1) % width, y]
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rgb1 = pixels[image1][x, y]
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dst += get_distance(rgb0, rgb1) / height
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#print frame / fps, dst
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if dst > 0.1:
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cuts.append(frame / fps)
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return cuts
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