mirror of
https://github.com/k4yt3x/video2x.git
synced 2024-12-29 16:09:10 +00:00
100 lines
3.6 KiB
Python
100 lines
3.6 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: utf-8 -*-
|
|
"""
|
|
Name: Waifu2x Converter CPP Driver
|
|
Author: K4YT3X
|
|
Date Created: February 8, 2019
|
|
Last Modified: April 28, 2019
|
|
|
|
Description: This class is a high-level wrapper
|
|
for waifu2x-converter-cpp.
|
|
"""
|
|
from avalon_framework import Avalon
|
|
import subprocess
|
|
import threading
|
|
|
|
|
|
class Waifu2xConverter:
|
|
"""This class communicates with waifu2x cui engine
|
|
|
|
An object will be created for this class, containing information
|
|
about the binary address and the processing method. When being called
|
|
by the main program, other detailed information will be passed to
|
|
the upscale function.
|
|
"""
|
|
|
|
def __init__(self, waifu2x_settings, model_dir):
|
|
self.waifu2x_settings = waifu2x_settings
|
|
self.waifu2x_settings['model_dir'] = model_dir
|
|
self.print_lock = threading.Lock()
|
|
|
|
def upscale(self, input_directory, output_directory, scale_ratio, jobs, image_format, upscaler_exceptions):
|
|
""" Waifu2x Converter Driver Upscaler
|
|
This method executes the upscaling of extracted frames.
|
|
|
|
Arguments:
|
|
input_directory {string} -- source directory path
|
|
output_directory {string} -- output directory path
|
|
scale_ratio {int} -- frames' scale ratio
|
|
threads {int} -- number of threads
|
|
"""
|
|
|
|
try:
|
|
# overwrite config file settings
|
|
self.waifu2x_settings['input'] = input_directory
|
|
self.waifu2x_settings['output'] = output_directory
|
|
|
|
# temporary fix for https://github.com/DeadSix27/waifu2x-converter-cpp/issues/109
|
|
"""
|
|
self.waifu2x_settings['i'] = input_directory
|
|
self.waifu2x_settings['o'] = output_directory
|
|
self.waifu2x_settings['input'] = None
|
|
self.waifu2x_settings['output'] = None
|
|
"""
|
|
|
|
self.waifu2x_settings['scale-ratio'] = scale_ratio
|
|
self.waifu2x_settings['jobs'] = jobs
|
|
self.waifu2x_settings['output-format'] = image_format
|
|
|
|
# models_rgb must be specified manually for waifu2x-converter-cpp
|
|
# if it's not specified in the arguments, create automatically
|
|
if self.waifu2x_settings['model-dir'] is None:
|
|
self.waifu2x_settings['model-dir'] = f'{self.waifu2x_settings["waifu2x_converter_path"]}\\models_rgb'
|
|
|
|
# print thread start message
|
|
self.print_lock.acquire()
|
|
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
|
|
self.print_lock.release()
|
|
|
|
# list to be executed
|
|
execute = []
|
|
|
|
for key in self.waifu2x_settings.keys():
|
|
|
|
value = self.waifu2x_settings[key]
|
|
|
|
# the key doesn't need to be passed in this case
|
|
if key == 'waifu2x_converter_path':
|
|
execute.append(f'{str(value)}\\waifu2x-converter-cpp.exe')
|
|
|
|
# null or None means that leave this option out (keep default)
|
|
elif value is None or value is False:
|
|
continue
|
|
else:
|
|
if len(key) == 1:
|
|
execute.append(f'-{key}')
|
|
else:
|
|
execute.append(f'--{key}')
|
|
|
|
# true means key is an option
|
|
if value is True:
|
|
continue
|
|
|
|
execute.append(str(value))
|
|
|
|
Avalon.debug_info(f'Executing: {execute}')
|
|
return subprocess.run(execute, check=True).returncode
|
|
|
|
except Exception as e:
|
|
upscaler_exceptions.append(e)
|