def run(self):
"""Main controller for Video2X
This function controls the flow of video conversion
and handles all necessary functions.
"""
# parse arguments for waifu2x
# check argument sanity
self._check_arguments()
# convert paths to absolute paths
self.input_video = os.path.abspath(self.input_video)
self.output_video = os.path.abspath(self.output_video)
# initialize objects for ffmpeg and waifu2x-caffe
fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
# initialize waifu2x driver
if self.waifu2x_driver == 'waifu2x_caffe':
w2 = Waifu2xCaffe(self.waifu2x_settings, self.method, self.model_dir)
elif self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.waifu2x_settings, self.model_dir)
else:
raise Exception(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
# extract frames from video
fm.extract_frames(self.input_video, self.extracted_frames)
Avalon.info('Reading video information')
video_info = fm.get_video_info(self.input_video)
# analyze original video with ffprobe and retrieve framerate
# width, height = info['streams'][0]['width'], info['streams'][0]['height']
# find index of video stream
video_stream_index = None
for stream in video_info['streams']:
if stream['codec_type'] == 'video':
video_stream_index = stream['index']
break
# exit if no video stream found
if video_stream_index is None:
Avalon.error('Aborting: No video stream found')
exit(1)
# get average frame rate of video stream
framerate = float(Fraction(video_info['streams'][video_stream_index]['avg_frame_rate']))
Avalon.info(f'Framerate: {framerate}')
# width/height will be coded width/height x upscale factor
if self.scale_ratio:
original_width = video_info['streams'][video_stream_index]['width']
original_height = video_info['streams'][video_stream_index]['height']
self.scale_width = int(self.scale_ratio * original_width)
self.scale_height = int(self.scale_ratio * original_height)
# upscale images one by one using waifu2x
Avalon.info('Starting to upscale extracted images')
self._upscale_frames(w2)
Avalon.info('Upscaling completed')
# frames to Video
Avalon.info('Converting extracted frames into video')
# use user defined output size
fm.convert_video(framerate, f'{self.scale_width}x{self.scale_height}', self.upscaled_frames)
Avalon.info('Conversion completed')
# migrate audio tracks and subtitles
Avalon.info('Migrating audio tracks and subtitles to upscaled video')
fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video, self.upscaled_frames)
def run(self):
""" Main controller for Video2X
This function controls the flow of video conversion
and handles all necessary functions.
"""
# parse arguments for waifu2x
# check argument sanity
self._check_arguments()
# convert paths to absolute paths
self.input_video = self.input_video.absolute()
self.output_video = self.output_video.absolute()
# initialize objects for ffmpeg and waifu2x-caffe
fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
# extract frames from video
fm.extract_frames(self.input_video, self.extracted_frames)
Avalon.info('Reading video information')
video_info = fm.get_video_info(self.input_video)
# analyze original video with ffprobe and retrieve framerate
# width, height = info['streams'][0]['width'], info['streams'][0]['height']
# find index of video stream
video_stream_index = None
for stream in video_info['streams']:
if stream['codec_type'] == 'video':
video_stream_index = stream['index']
break
# exit if no video stream found
if video_stream_index is None:
Avalon.error('Aborting: No video stream found')
raise StreamNotFoundError('no video stream found')
# get average frame rate of video stream
framerate = float(
Fraction(
video_info['streams'][video_stream_index]['avg_frame_rate']))
fm.pixel_format = video_info['streams'][video_stream_index]['pix_fmt']
# get a dict of all pixel formats and corresponding bit depth
pixel_formats = fm.get_pixel_formats()
# try getting pixel format's corresponding bti depth
try:
self.bit_depth = pixel_formats[fm.pixel_format]
except KeyError:
Avalon.error(f'Unsupported pixel format: {fm.pixel_format}')
raise UnsupportedPixelError(
f'unsupported pixel format {fm.pixel_format}')
Avalon.info(f'Framerate: {framerate}')
# width/height will be coded width/height x upscale factor
if self.scale_ratio:
original_width = video_info['streams'][video_stream_index]['width']
original_height = video_info['streams'][video_stream_index][
'height']
self.scale_width = int(self.scale_ratio * original_width)
self.scale_height = int(self.scale_ratio * original_height)
# upscale images one by one using waifu2x
Avalon.info('Starting to upscale extracted images')
self._upscale_frames()
Avalon.info('Upscaling completed')
# frames to Video
Avalon.info('Converting extracted frames into video')
# use user defined output size
fm.convert_video(framerate, f'{self.scale_width}x{self.scale_height}',
self.upscaled_frames)
Avalon.info('Conversion completed')
# migrate audio tracks and subtitles
Avalon.info('Migrating audio tracks and subtitles to upscaled video')
fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video,
self.upscaled_frames)
def run(self):
"""Main controller for Video2X
This function controls the flow of video conversion
and handles all necessary functions.
"""
# Parse arguments for waifu2x
# Check argument sanity
self._check_model_type(self.model_type)
self._check_arguments()
# Convert paths to absolute paths
self.input_video = os.path.abspath(self.input_video)
self.output_video = os.path.abspath(self.output_video)
# Add a forward slash to directory if not present
# otherwise there will be a format error
if self.ffmpeg_path[-1] != '/' and self.ffmpeg_path[-1] != '\\':
self.ffmpeg_path = '{}/'.format(self.ffmpeg_path)
# Check if FFMPEG and waifu2x are present
if not os.path.isdir(self.ffmpeg_path):
raise FileNotFoundError(self.ffmpeg_path)
if not os.path.isfile(self.waifu2x_path) and not os.path.isdir(self.waifu2x_path):
raise FileNotFoundError(self.waifu2x_path)
# Initialize objects for ffmpeg and waifu2x-caffe
fm = Ffmpeg(self.ffmpeg_path, self.ffmpeg_arguments)
# Initialize waifu2x driver
if self.waifu2x_driver == 'waifu2x_caffe':
w2 = Waifu2xCaffe(self.waifu2x_path, self.method, self.model_type)
elif self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.waifu2x_path)
else:
raise Exception('Unrecognized waifu2x driver: {}'.format(self.waifu2x_driver))
# Extract frames from video
fm.extract_frames(self.input_video, self.extracted_frames)
Avalon.info('Reading video information')
video_info = fm.get_video_info(self.input_video)
# Analyze original video with ffprobe and retrieve framerate
# width, height = info['streams'][0]['width'], info['streams'][0]['height']
# Find index of video stream
video_stream_index = None
for stream in video_info['streams']:
if stream['codec_type'] == 'video':
video_stream_index = stream['index']
break
# Exit if no video stream found
if video_stream_index is None:
Avalon.error('Aborting: No video stream found')
exit(1)
# Get average frame rate of video stream
framerate = float(Fraction(video_info['streams'][video_stream_index]['avg_frame_rate']))
Avalon.info('Framerate: {}'.format(framerate))
# Width/height will be coded width/height x upscale factor
if self.ratio:
coded_width = video_info['streams'][video_stream_index]['coded_width']
coded_height = video_info['streams'][video_stream_index]['coded_height']
self.output_width = self.ratio * coded_width
self.output_height = self.ratio * coded_height
# Upscale images one by one using waifu2x
Avalon.info('Starting to upscale extracted images')
self._upscale_frames(w2)
Avalon.info('Upscaling completed')
# Frames to Video
Avalon.info('Converting extracted frames into video')
# Use user defined output size
fm.convert_video(framerate, '{}x{}'.format(self.output_width, self.output_height), self.upscaled_frames)
Avalon.info('Conversion completed')
# Migrate audio tracks and subtitles
Avalon.info('Migrating audio tracks and subtitles to upscaled video')
fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video, self.upscaled_frames)