#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Name: Video2X Upscaler Author: K4YT3X Date Created: December 10, 2018 Last Modified: February 26, 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 exceptions import * from ffmpeg import Ffmpeg from fractions import Fraction from waifu2x_caffe import Waifu2xCaffe from waifu2x_converter import Waifu2xConverter import os import re import shutil import tempfile import threading MODELS_AVAILABLE = ['upconv_7_anime_style_art_rgb', 'upconv_7_photo', 'anime_style_art_rgb', 'photo', 'anime_style_art_y'] class Upscaler: def __init__(self, input_video, output_video, method, waifu2x_path, ffmpeg_path, waifu2x_driver='waifu2x_caffe', ffmpeg_arguments=[], ffmpeg_hwaccel='auto', output_width=False, output_height=False, ratio=False, model_type='anime_style_art_rgb', threads=3, extracted_frames=False, upscaled_frames=False, preserve_frames=False): # Mandatory arguments self.input_video = input_video self.output_video = output_video self.method = method self.waifu2x_path = waifu2x_path self.ffmpeg_path = ffmpeg_path 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.ffmpeg_arguments = ffmpeg_arguments self.ffmpeg_hwaccel = ffmpeg_hwaccel self.output_width = output_width self.output_height = output_height self.ratio = ratio self.model_type = model_type self.threads = threads # Make temporary directories self.extracted_frames = extracted_frames if not extracted_frames: self.extracted_frames = tempfile.mkdtemp() Avalon.debug_info('Extracted frames is being saved to: {}'.format(self.extracted_frames)) self.upscaled_frames = upscaled_frames if not upscaled_frames: self.upscaled_frames = tempfile.mkdtemp() Avalon.debug_info('Upscaled frames is being saved to: {}'.format(self.upscaled_frames)) self.preserve_frames = preserve_frames # If hardware acceleration enabled, append arguments if self.ffmpeg_hwaccel: self.ffmpeg_arguments.append('-hwaccel {}'.format(self.ffmpeg_hwaccel)) def __del__(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: print('Deleting cache directory: {}'.format(self.extracted_frames)) shutil.rmtree(self.extracted_frames) print('Deleting cache directory: {}'.format(self.upscaled_frames)) shutil.rmtree(self.upscaled_frames) def _check_model_type(self, args): """ Validate upscaling model """ if self.model_type not in MODELS_AVAILABLE: raise InvalidModelType('Specified model type not available') 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.output_width or not self.output_height) and not self.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 _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 """ # 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.upscale(self.extracted_frames, self.upscaled_frames, self.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)) return # 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 folder for each thread and append folder # name into a list thread_pool = [] for thread_id in range(self.threads): thread_folder = '{}\\{}'.format(self.extracted_frames, str(thread_id)) # 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 thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.output_width, self.output_height)) thread.name = thread_info[1] # Add threads into the pool upscaler_threads.append(thread) # Start all threads for thread in upscaler_threads: thread.start() # Wait for threads to finish for thread in upscaler_threads: thread.join() 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)