mirror of
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308 lines
12 KiB
Python
308 lines
12 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Name: Video2X Upscaler
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Author: K4YT3X
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Date Created: December 10, 2018
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Last Modified: April 21, 2019
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Licensed under the GNU General Public License Version 3 (GNU GPL v3),
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available at: https://www.gnu.org/licenses/gpl-3.0.txt
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(C) 2018-2019 K4YT3X
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"""
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from avalon_framework import Avalon
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from exceptions import *
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from ffmpeg import Ffmpeg
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from fractions import Fraction
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from image_cleaner import ImageCleaner
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from tqdm import tqdm
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from waifu2x_caffe import Waifu2xCaffe
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from waifu2x_converter import Waifu2xConverter
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import os
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import re
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import shutil
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import tempfile
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import threading
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import time
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class Upscaler:
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""" An instance of this class is a upscaler that will
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upscale all images in the given folder.
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Raises:
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Exception -- all exceptions
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ArgumentError -- if argument is not valid
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"""
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def __init__(self, input_video, output_video, method, waifu2x_settings, ffmpeg_settings):
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# mandatory arguments
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self.input_video = input_video
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self.output_video = output_video
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self.method = method
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self.waifu2x_settings = waifu2x_settings
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self.ffmpeg_settings = ffmpeg_settings
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# optional arguments
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self.waifu2x_driver = 'waifu2x_caffe'
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self.scale_width = None
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self.scale_height = None
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self.scale_ratio = None
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self.model_dir = None
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self.threads = 5
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self.video2x_cache_folder = f'{tempfile.gettempdir()}\\video2x'
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self.image_format = 'png'
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self.preserve_frames = False
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def create_temp_folders(self):
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"""create temporary folder/directories
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"""
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self.extracted_frames = tempfile.mkdtemp(dir=self.video2x_cache_folder)
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Avalon.debug_info(f'Extracted frames are being saved to: {self.extracted_frames}')
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self.upscaled_frames = tempfile.mkdtemp(dir=self.video2x_cache_folder)
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Avalon.debug_info(f'Upscaled frames are being saved to: {self.upscaled_frames}')
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def cleanup(self):
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"""delete temp directories when done
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"""
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if not self.preserve_frames:
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for directory in [self.extracted_frames, self.upscaled_frames]:
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try:
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# avalon framework cannot be used if python is shutting down
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# therefore, plain print is used
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print(f'Cleaning up cache directory: {directory}')
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shutil.rmtree(directory)
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except (OSError, FileNotFoundError):
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pass
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def _check_arguments(self):
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# check if arguments are valid / all necessary argument
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# values are specified
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if not self.input_video:
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raise ArgumentError('You need to specify the video to process')
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elif (not self.scale_width or not self.scale_height) and not self.scale_ratio:
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raise ArgumentError('You must specify output video width and height or upscale factor')
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elif not self.output_video:
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raise ArgumentError('You need to specify the output video name')
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elif not self.method:
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raise ArgumentError('You need to specify the enlarging processing unit')
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def _progress_bar(self, extracted_frames_folders):
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""" This method prints a progress bar
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This method prints a progress bar by keeping track
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of the amount of frames in the input directory/folder
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and the output directory/folder. This is originally
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suggested by @ArmandBernard.
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"""
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# get number of extracted frames
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total_frames = 0
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for folder in extracted_frames_folders:
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total_frames += len([f for f in os.listdir(folder) if f[-4:] == '.png'])
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with tqdm(total=total_frames, ascii=True, desc='Upscaling Progress') as progress_bar:
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# tqdm update method adds the value to the progress
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# bar instead of setting the value. Therefore, a delta
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# needs to be calculated.
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previous_cycle_frames = 0
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while not self.progress_bar_exit_signal:
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try:
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total_frames_upscaled = len([f for f in os.listdir(self.upscaled_frames) if f[-4:] == '.png'])
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delta = total_frames_upscaled - previous_cycle_frames
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previous_cycle_frames = total_frames_upscaled
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# if upscaling is finished
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if total_frames_upscaled >= total_frames:
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return
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# adds the detla into the progress bar
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progress_bar.update(delta)
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except FileNotFoundError:
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pass
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time.sleep(1)
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def _upscale_frames(self, w2):
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""" Upscale video frames with waifu2x-caffe
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This function upscales all the frames extracted
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by ffmpeg using the waifu2x-caffe binary.
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Arguments:
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w2 {Waifu2x Object} -- initialized waifu2x object
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"""
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# progress bar thread exit signal
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self.progress_bar_exit_signal = False
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# create a container for exceptions in threads
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# if this thread is not empty, then an exception has occured
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self.upscaler_exceptions = []
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# it's easier to do multi-threading with waifu2x_converter
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# the number of threads can be passed directly to waifu2x_converter
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if self.waifu2x_driver == 'waifu2x_converter':
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progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
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progress_bar.start()
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w2.upscale(self.extracted_frames, self.upscaled_frames, self.scale_ratio, self.threads, self.image_format, self.upscaler_exceptions)
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for image in [f for f in os.listdir(self.upscaled_frames) if os.path.isfile(os.path.join(self.upscaled_frames, f))]:
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renamed = re.sub(f'_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.{self.image_format}', f'.{self.image_format}', image)
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shutil.move(f'{self.upscaled_frames}\\{image}', f'{self.upscaled_frames}\\{renamed}')
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self.progress_bar_exit_signal = True
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progress_bar.join()
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return
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# create a container for all upscaler threads
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upscaler_threads = []
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# list all images in the extracted frames
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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))]
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# if we have less images than threads,
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# create only the threads necessary
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if len(frames) < self.threads:
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self.threads = len(frames)
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# create a folder for each thread and append folder
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# name into a list
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thread_pool = []
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thread_folders = []
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for thread_id in range(self.threads):
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thread_folder = f'{self.extracted_frames}\\{str(thread_id)}'
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thread_folders.append(thread_folder)
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# delete old folders and create new folders
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if os.path.isdir(thread_folder):
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shutil.rmtree(thread_folder)
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os.mkdir(thread_folder)
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# append folder path into list
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thread_pool.append((thread_folder, thread_id))
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# evenly distribute images into each folder
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# until there is none left in the folder
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for image in frames:
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# move image
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shutil.move(image, thread_pool[0][0])
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# rotate list
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thread_pool = thread_pool[-1:] + thread_pool[:-1]
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# create threads and start them
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for thread_info in thread_pool:
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# create thread
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if self.scale_ratio:
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thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, False, False, self.image_format, self.upscaler_exceptions))
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else:
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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))
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thread.name = thread_info[1]
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# add threads into the pool
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upscaler_threads.append(thread)
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# start progress bar in a different thread
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progress_bar = threading.Thread(target=self._progress_bar, args=(thread_folders,))
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progress_bar.start()
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# create the clearer and start it
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Avalon.debug_info('Starting upscaled image cleaner')
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image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
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image_cleaner.start()
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# start all threads
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for thread in upscaler_threads:
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thread.start()
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# wait for threads to finish
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for thread in upscaler_threads:
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thread.join()
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# upscaling done, kill the clearer
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Avalon.debug_info('Killing upscaled image cleaner')
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image_cleaner.stop()
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self.progress_bar_exit_signal = True
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if len(self.upscaler_exceptions) != 0:
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raise(self.upscaler_exceptions[0])
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def run(self):
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"""Main controller for Video2X
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This function controls the flow of video conversion
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and handles all necessary functions.
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"""
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# parse arguments for waifu2x
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# check argument sanity
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self._check_arguments()
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# convert paths to absolute paths
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self.input_video = os.path.abspath(self.input_video)
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self.output_video = os.path.abspath(self.output_video)
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# initialize objects for ffmpeg and waifu2x-caffe
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fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
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# initialize waifu2x driver
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if self.waifu2x_driver == 'waifu2x_caffe':
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w2 = Waifu2xCaffe(self.waifu2x_settings, self.method, self.model_dir)
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elif self.waifu2x_driver == 'waifu2x_converter':
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w2 = Waifu2xConverter(self.waifu2x_settings, self.model_dir)
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else:
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raise Exception(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
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# extract frames from video
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fm.extract_frames(self.input_video, self.extracted_frames)
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Avalon.info('Reading video information')
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video_info = fm.get_video_info(self.input_video)
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# analyze original video with ffprobe and retrieve framerate
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# width, height = info['streams'][0]['width'], info['streams'][0]['height']
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# find index of video stream
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video_stream_index = None
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for stream in video_info['streams']:
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if stream['codec_type'] == 'video':
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video_stream_index = stream['index']
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break
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# exit if no video stream found
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if video_stream_index is None:
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Avalon.error('Aborting: No video stream found')
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exit(1)
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# get average frame rate of video stream
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framerate = float(Fraction(video_info['streams'][video_stream_index]['avg_frame_rate']))
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Avalon.info(f'Framerate: {framerate}')
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# width/height will be coded width/height x upscale factor
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if self.scale_ratio:
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original_width = video_info['streams'][video_stream_index]['width']
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original_height = video_info['streams'][video_stream_index]['height']
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self.scale_width = int(self.scale_ratio * original_width)
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self.scale_height = int(self.scale_ratio * original_height)
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# upscale images one by one using waifu2x
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Avalon.info('Starting to upscale extracted images')
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self._upscale_frames(w2)
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Avalon.info('Upscaling completed')
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# frames to Video
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Avalon.info('Converting extracted frames into video')
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# use user defined output size
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fm.convert_video(framerate, f'{self.scale_width}x{self.scale_height}', self.upscaled_frames)
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Avalon.info('Conversion completed')
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# migrate audio tracks and subtitles
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Avalon.info('Migrating audio tracks and subtitles to upscaled video')
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fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video, self.upscaled_frames)
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