#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Name: Video2X Upscaler Author: K4YT3X Date Created: December 10, 2018 Last Modified: March 19, 2019 Licensed under the GNU General Public License Version 3 (GNU GPL v3), available at: https://www.gnu.org/licenses/gpl-3.0.txt (C) 2018-2019 K4YT3X """ from avalon_framework import Avalon from image_cleaner import ImageCleaner from exceptions import * from ffmpeg import Ffmpeg from fractions import Fraction from tqdm import tqdm from waifu2x_caffe import Waifu2xCaffe from waifu2x_converter import Waifu2xConverter import os import re import shutil import tempfile import threading import time class Upscaler: """ An instance of this class is a upscaler that will upscale all images in the given folder. Raises: Exception -- all exceptions ArgumentError -- if argument is not valid """ def __init__(self, input_video, output_video, method, waifu2x_settings, ffmpeg_settings, waifu2x_driver='waifu2x_caffe', scale_width=False, scale_height=False, scale_ratio=False, model_dir=None, threads=5, video2x_cache_folder='{}\\video2x'.format(tempfile.gettempdir()), preserve_frames=False): # mandatory arguments self.input_video = input_video self.output_video = output_video self.method = method self.waifu2x_settings = waifu2x_settings self.ffmpeg_settings = ffmpeg_settings self.waifu2x_driver = waifu2x_driver # check sanity of waifu2x_driver option if waifu2x_driver != 'waifu2x_caffe' and waifu2x_driver != 'waifu2x_converter': raise Exception('Unrecognized waifu2x driver: {}'.format(waifu2x_driver)) # optional arguments self.scale_width = scale_width self.scale_height = scale_height self.scale_ratio = scale_ratio self.model_dir = model_dir self.threads = threads # create temporary folder/directories self.video2x_cache_folder = video2x_cache_folder self.extracted_frames = tempfile.mkdtemp(dir=self.video2x_cache_folder) Avalon.debug_info('Extracted frames are being saved to: {}'.format(self.extracted_frames)) self.upscaled_frames = tempfile.mkdtemp(dir=self.video2x_cache_folder) Avalon.debug_info('Upscaled frames are being saved to: {}'.format(self.upscaled_frames)) self.preserve_frames = preserve_frames def cleanup(self): # delete temp directories when done # avalon framework cannot be used if python is shutting down # therefore, plain print is used if not self.preserve_frames: for directory in [self.extracted_frames, self.upscaled_frames]: try: print('Cleaning up cache directory: {}'.format()) shutil.rmtree(directory) except (OSError, FileNotFoundError): pass def _check_arguments(self): # check if arguments are valid / all necessary argument # values are specified if not self.input_video: raise ArgumentError('You need to specify the video to process') elif (not self.scale_width or not self.scale_height) and not self.scale_ratio: raise ArgumentError('You must specify output video width and height or upscale factor') elif not self.output_video: raise ArgumentError('You need to specify the output video name') elif not self.method: raise ArgumentError('You need to specify the enlarging processing unit') def _progress_bar(self, extracted_frames_folders): """ This method prints a progress bar This method prints a progress bar by keeping track of the amount of frames in the input directory/folder and the output directory/folder. This is originally suggested by @ArmandBernard. """ # get number of extracted frames total_frames = 0 for folder in extracted_frames_folders: total_frames += len([f for f in os.listdir(folder) if f[-4:] == '.png']) with tqdm(total=total_frames, ascii=True, desc='Upscaling Progress') as progress_bar: # tqdm update method adds the value to the progress # bar instead of setting the value. Therefore, a delta # needs to be calculated. previous_cycle_frames = 0 while not self.progress_bar_exit_signal: try: total_frames_upscaled = len([f for f in os.listdir(self.upscaled_frames) if f[-4:] == '.png']) delta = total_frames_upscaled - previous_cycle_frames previous_cycle_frames = total_frames_upscaled # if upscaling is finished if total_frames_upscaled >= total_frames: return # adds the detla into the progress bar progress_bar.update(delta) except FileNotFoundError: pass time.sleep(1) def _upscale_frames(self, w2): """ 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 # 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': 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) 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('_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.png', '.png', image) shutil.move('{}\\{}'.format(self.upscaled_frames, image), '{}\\{}'.format(self.upscaled_frames, renamed)) self.progress_bar_exit_signal = True progress_bar.join() return # create a container for all upscaler threads upscaler_threads = [] # create a container for exceptions in threads # if this thread is not empty, then an exception has occured self.threads_exceptions = [] # 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 folder for each thread and append folder # name into a list thread_pool = [] thread_folders = [] for thread_id in range(self.threads): thread_folder = '{}\\{}'.format(self.extracted_frames, str(thread_id)) thread_folders.append(thread_folder) # delete old folders and create new folders if os.path.isdir(thread_folder): shutil.rmtree(thread_folder) os.mkdir(thread_folder) # append folder path into list thread_pool.append((thread_folder, thread_id)) # evenly distribute images into each folder # until there is none left in the folder 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 thread if self.scale_ratio: thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, False, False, self.threads_exceptions)) else: thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, False, self.scale_width, self.scale_height, self.threads_exceptions)) 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_folders,)) 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.threads_exceptions) != 0: raise(self.threads_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_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) # 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('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.scale_ratio: coded_width = video_info['streams'][video_stream_index]['coded_width'] coded_height = video_info['streams'][video_stream_index]['coded_height'] self.scale_width = self.scale_ratio * coded_width self.scale_height = self.scale_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.scale_width, 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)