def _upscale_frames(self):
""" Upscale video frames with waifu2x-caffe
This function upscales all the frames extracted
by ffmpeg using the waifu2x-caffe binary.
Arguments:
w2 {Waifu2x Object} -- initialized waifu2x object
"""
# progress bar process exit signal
self.progress_bar_exit_signal = False
# initialize waifu2x driver
if self.waifu2x_driver not in AVAILABLE_DRIVERS:
raise UnrecognizedDriverError(
f'Unrecognized driver: {self.waifu2x_driver}')
# create a container for all upscaler processes
upscaler_processes = []
# list all images in the extracted frames
frames = [(self.extracted_frames / f)
for f in self.extracted_frames.iterdir() if f.is_file]
# if we have less images than processes,
# create only the processes necessary
if len(frames) < self.processes:
self.processes = len(frames)
# create a directory for each process and append directory
# name into a list
process_directories = []
for process_id in range(self.processes):
process_directory = self.extracted_frames / str(process_id)
process_directories.append(process_directory)
# delete old directories and create new directories
if process_directory.is_dir():
shutil.rmtree(process_directory)
process_directory.mkdir(parents=True, exist_ok=True)
# waifu2x-converter-cpp will perform multi-threading within its own process
if self.waifu2x_driver in ['waifu2x_converter', 'anime4k']:
process_directories = [self.extracted_frames]
else:
# evenly distribute images into each directory
# until there is none left in the directory
for image in frames:
# move image
image.rename(process_directories[0] / image.name)
# rotate list
process_directories = process_directories[
-1:] + process_directories[:-1]
# create threads and start them
for process_directory in process_directories:
# if the driver being used is waifu2x-caffe
if self.waifu2x_driver == 'waifu2x_caffe':
driver = Waifu2xCaffe(copy.deepcopy(self.driver_settings),
self.method, self.model_dir,
self.bit_depth)
if self.scale_ratio:
upscaler_processes.append(
driver.upscale(process_directory, self.upscaled_frames,
self.scale_ratio, False, False,
self.image_format))
else:
upscaler_processes.append(
driver.upscale(process_directory, self.upscaled_frames,
False, self.scale_width,
self.scale_height, self.image_format))
# if the driver being used is waifu2x-converter-cpp
elif self.waifu2x_driver == 'waifu2x_converter':
driver = Waifu2xConverter(self.driver_settings, self.model_dir)
upscaler_processes.append(
driver.upscale(process_directory, self.upscaled_frames,
self.scale_ratio, self.processes,
self.image_format))
# if the driver being used is waifu2x-ncnn-vulkan
elif self.waifu2x_driver == 'waifu2x_ncnn_vulkan':
driver = Waifu2xNcnnVulkan(copy.deepcopy(self.driver_settings))
upscaler_processes.append(
driver.upscale(process_directory, self.upscaled_frames,
self.scale_ratio))
# if the driver being used is anime4k
elif self.waifu2x_driver == 'anime4k':
driver = Anime4k(copy.deepcopy(self.driver_settings))
upscaler_processes += driver.upscale(process_directory,
self.upscaled_frames,
self.scale_ratio,
self.processes)
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar,
args=(process_directories, ))
progress_bar.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames,
self.upscaled_frames,
len(upscaler_processes))
image_cleaner.start()
# wait for all process to exit
try:
Avalon.debug_info('Main process waiting for subprocesses to exit')
for process in upscaler_processes:
Avalon.debug_info(
f'Subprocess {process.pid} exited with code {process.wait()}'
)
except (KeyboardInterrupt, SystemExit):
Avalon.warning('Exit signal received')
Avalon.warning('Killing processes')
for process in upscaler_processes:
process.terminate()
# cleanup and exit with exit code 1
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
self.progress_bar_exit_signal = True
sys.exit(1)
# if the driver is waifu2x-converter-cpp
# images need to be renamed to be recognizable for FFmpeg
if self.waifu2x_driver == 'waifu2x_converter':
for image in [
f for f in self.upscaled_frames.iterdir() if f.is_file()
]:
renamed = re.sub(
f'_\\[.*\\]\\[x(\\d+(\\.\\d+)?)\\]\\.{self.image_format}',
f'.{self.image_format}', str(image.name))
(self.upscaled_frames / image).rename(self.upscaled_frames /
renamed)
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
# pass exit signal to progress bar thread
self.progress_bar_exit_signal = True
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 _upscale_frames(self):
""" Upscale video frames with waifu2x-caffe
This function upscales all the frames extracted
by ffmpeg using the waifu2x-caffe binary.
Arguments:
w2 {Waifu2x Object} -- initialized waifu2x object
"""
# progress bar thread exit signal
self.progress_bar_exit_signal = False
# create a container for exceptions in threads
# if this thread is not empty, then an exception has occured
self.upscaler_exceptions = []
# initialize waifu2x driver
drivers = ['waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan']
if self.waifu2x_driver not in drivers:
raise Exception(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
# it's easier to do multi-threading with waifu2x_converter
# the number of threads can be passed directly to waifu2x_converter
if self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.waifu2x_settings, self.model_dir)
progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
progress_bar.start()
w2.upscale(self.extracted_frames, self.upscaled_frames, self.scale_ratio, self.threads, self.image_format, self.upscaler_exceptions)
for image in [f for f in os.listdir(self.upscaled_frames) if os.path.isfile(os.path.join(self.upscaled_frames, f))]:
renamed = re.sub(f'_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.{self.image_format}', f'.{self.image_format}', image)
shutil.move(os.path.join(self.upscaled_frames, image), os.path.join(self.upscaled_frames, renamed))
self.progress_bar_exit_signal = True
progress_bar.join()
return
else:
# create a container for all upscaler threads
upscaler_threads = []
# list all images in the extracted frames
frames = [os.path.join(self.extracted_frames, f) for f in os.listdir(self.extracted_frames) if os.path.isfile(os.path.join(self.extracted_frames, f))]
# if we have less images than threads,
# create only the threads necessary
if len(frames) < self.threads:
self.threads = len(frames)
# create a directory for each thread and append directory
# name into a list
thread_pool = []
thread_directories = []
for thread_id in range(self.threads):
thread_directory = os.path.join(self.extracted_frames, str(thread_id))
thread_directories.append(thread_directory)
# delete old directories and create new directories
if os.path.isdir(thread_directory):
shutil.rmtree(thread_directory)
os.mkdir(thread_directory)
# append directory path into list
thread_pool.append((thread_directory, thread_id))
# evenly distribute images into each directory
# until there is none left in the directory
for image in frames:
# move image
shutil.move(image, thread_pool[0][0])
# rotate list
thread_pool = thread_pool[-1:] + thread_pool[:-1]
# create threads and start them
for thread_info in thread_pool:
# create a separate w2 instance for each thread
if self.waifu2x_driver == 'waifu2x_caffe':
w2 = Waifu2xCaffe(copy.deepcopy(self.waifu2x_settings), self.method, self.model_dir, self.bit_depth)
if self.scale_ratio:
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
self.scale_ratio,
False,
False,
self.image_format,
self.upscaler_exceptions))
else:
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
False,
self.scale_width,
self.scale_height,
self.image_format,
self.upscaler_exceptions))
# if the driver being used is waifu2x_ncnn_vulkan
elif self.waifu2x_driver == 'waifu2x_ncnn_vulkan':
w2 = Waifu2xNcnnVulkan(copy.deepcopy(self.waifu2x_settings))
thread = threading.Thread(target=w2.upscale,
args=(thread_info[0],
self.upscaled_frames,
self.scale_ratio,
self.upscaler_exceptions))
# create thread
thread.name = thread_info[1]
# add threads into the pool
upscaler_threads.append(thread)
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar, args=(thread_directories,))
progress_bar.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
image_cleaner.start()
# start all threads
for thread in upscaler_threads:
thread.start()
# wait for threads to finish
for thread in upscaler_threads:
thread.join()
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
self.progress_bar_exit_signal = True
if len(self.upscaler_exceptions) != 0:
raise(self.upscaler_exceptions[0])
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)