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140
bin/video2x.py
Executable file
140
bin/video2x.py
Executable file
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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__ __ _ _ ___ __ __
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\ \ / / (_) | | |__ \ \ \ / /
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\ \ / / _ __| | ___ ___ ) | \ V /
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\ \/ / | | / _` | / _ \ / _ \ / / > <
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\ / | | | (_| | | __/ | (_) | / /_ / . \
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\/ |_| \__,_| \___| \___/ |____| /_/ \_\
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Name: Video2x Controller
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Author: K4YT3X
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Date Created: Feb 24, 2018
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Last Modified: December 10, 2018
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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 K4YT3X
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Description: Video2X is an automation software based on
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waifu2x image enlarging engine. It extracts frames from a
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video, enlarge it by a number of times without losing any
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details or quality, keeping lines smooth and edges sharp.
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"""
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from avalon_framework import Avalon
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from upscaler import Upscaler
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import argparse
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import inspect
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import json
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import os
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import time
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import traceback
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VERSION = '2.1.7'
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EXEC_PATH = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
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FRAMES = '{}\\frames'.format(EXEC_PATH) # Folder containing extracted frames
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UPSCALED = '{}\\upscaled'.format(EXEC_PATH) # Folder containing enlarges frames
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def process_arguments():
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"""Processes CLI arguments
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This function parses all arguments
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This allows users to customize options
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for the output video.
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"""
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parser = argparse.ArgumentParser()
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# Video options
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basic_options = parser.add_argument_group('Basic Options')
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basic_options.add_argument('-i', '--input', help='Specify source video file', action='store', default=False, required=True)
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basic_options.add_argument('-o', '--output', help='Specify output video file', action='store', default=False, required=True)
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basic_options.add_argument('-y', '--model_type', help='Specify model to use', action='store', default='anime_style_art_rgb')
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basic_options.add_argument('-t', '--threads', help='Specify number of threads to use for upscaling', action='store', type=int, default=5)
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basic_options.add_argument('-c', '--config', help='Manually specify config file', action='store', default='video2x.json')
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# Scaling options
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scaling_options = parser.add_argument_group('Scaling Options', required=True)
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scaling_options.add_argument('--width', help='Output video width', action='store', type=int, default=False)
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scaling_options.add_argument('--height', help='Output video height', action='store', type=int, default=False)
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scaling_options.add_argument('-f', '--factor', help='Factor to upscale the videos by', action='store', type=int, default=False)
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# Render drivers, at least one option must be specified
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driver_group = parser.add_argument_group('Render Drivers', required=True)
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driver_group.add_argument('--cpu', help='Use CPU for enlarging', action='store_true', default=False)
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driver_group.add_argument('--gpu', help='Use GPU for enlarging', action='store_true', default=False)
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driver_group.add_argument('--cudnn', help='Use CUDNN for enlarging', action='store_true', default=False)
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# Parse arguments
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return parser.parse_args()
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def print_logo():
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print('__ __ _ _ ___ __ __')
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print('\\ \\ / / (_) | | |__ \\ \\ \\ / /')
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print(' \\ \\ / / _ __| | ___ ___ ) | \\ V /')
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print(' \\ \\/ / | | / _` | / _ \\ / _ \\ / / > <')
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print(' \\ / | | | (_| | | __/ | (_) | / /_ / . \\')
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print(' \\/ |_| \\__,_| \\___| \\___/ |____| /_/ \\_\\')
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print('\n Video2X Video Enlarger')
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spaces = ((44 - len("Version " + VERSION)) // 2) * " "
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print('{}\n{} Version {}\n{}'.format(Avalon.FM.BD, spaces, VERSION, Avalon.FM.RST))
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def read_config(config_file):
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""" Reads configuration file
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Returns a dictionary read by json.
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"""
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with open(config_file, 'r') as raw_config:
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config = json.load(raw_config)
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return config
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# /////////////////// Execution /////////////////// #
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# This is not a library
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if __name__ != '__main__':
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Avalon.error('This file cannot be imported')
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exit(1)
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print_logo()
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# Process cli arguments
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args = process_arguments()
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# Read configurations from JSON
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config = read_config()
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waifu2x_path = config['waifu2x_path']
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ffmpeg_path = config['ffmpeg_path']
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ffmpeg_arguments = config['ffmpeg_arguments']
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ffmpeg_hwaccel = config['ffmpeg_hwaccel']
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# Parse arguments for waifu2x
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if args.cpu:
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method = 'cpu'
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elif args.gpu:
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method = 'gpu'
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ffmpeg_arguments.append('-hwaccel {}'.format(ffmpeg_hwaccel))
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elif args.cudnn:
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method = 'cudnn'
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ffmpeg_arguments.append('-hwaccel {}'.format(ffmpeg_hwaccel))
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# Start execution
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try:
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# Start timer
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begin_time = time.time()
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# Initialize and run upscaling
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upscaler = Upscaler(input_video=args.video, output_video=args.output, method=method, waifu2x_path=waifu2x_path, ffmpeg_path=ffmpeg_path, ffmpeg_arguments=ffmpeg_arguments, ffmpeg_hwaccel=ffmpeg_hwaccel, output_width=args.width, output_height=args.height, factor=args.factor, model_type=args.model_type, threads=args.threads)
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upscaler.run()
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Avalon.info('Program completed, taking {} seconds'.format(round((time.time() - begin_time), 5)))
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except Exception:
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Avalon.error('An exception occurred')
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traceback.print_exc()
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