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111 lines
4.0 KiB
Python
111 lines
4.0 KiB
Python
#!/usr/bin/env python3
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# -*- coding: future_fstrings -*-
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"""
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Name: Waifu2x NCNN Vulkan Driver
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Author: SAT3LL
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Date Created: June 26, 2019
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Last Modified: June 26, 2019
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Dev: K4YT3X
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Description: This class is a high-level wrapper
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for waifu2x_ncnn_vulkan.
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"""
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from avalon_framework import Avalon
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import os
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import subprocess
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import threading
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class Waifu2xNcnnVulkan:
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"""This class communicates with waifu2x ncnn vulkan engine
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An object will be created for this class, containing information
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about the binary address and the processing method. When being called
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by the main program, other detailed information will be passed to
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the upscale function.
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"""
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def __init__(self, waifu2x_settings):
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self.waifu2x_settings = waifu2x_settings
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# arguments passed through command line overwrites config file values
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# waifu2x_ncnn_vulkan can't find its own model directory if its not in the current dir
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# so change to it
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os.chdir(os.path.join(self.waifu2x_settings['waifu2x_ncnn_vulkan_path'], '..'))
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self.print_lock = threading.Lock()
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def upscale(self, input_directory, output_directory, scale_ratio, upscaler_exceptions):
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"""This is the core function for WAIFU2X class
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Arguments:
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input_directory {string} -- source directory path
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output_directory {string} -- output directory path
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ratio {int} -- output video ratio
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"""
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try:
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# overwrite config file settings
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self.waifu2x_settings['input'] = input_directory
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self.waifu2x_settings['output'] = output_directory
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# print thread start message
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self.print_lock.acquire()
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Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
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self.print_lock.release()
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# waifu2x_ncnn_vulkan does not have long-opts, we'll have a dictionary that maps "our" config long-opt
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# names to their short opts
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waifu2x_ncnn_vulkan_opt_flag = {
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'input': '-i',
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'output': '-o',
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'noise-level': '-n',
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'scale-ratio': '-s',
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'tile-size': '-t',
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'model-path': '-m',
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'gpu': '-g',
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'load-proc-save_threads': '-j',
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'verbose': '-v'
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}
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execute = [self.waifu2x_settings['waifu2x_ncnn_vulkan_path']]
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for key in self.waifu2x_settings.keys():
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value = self.waifu2x_settings[key]
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if key == 'waifu2x_ncnn_vulkan_path':
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continue
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elif key == 'input':
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execute.append(waifu2x_ncnn_vulkan_opt_flag[key])
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execute.append(input_directory)
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elif key == 'output':
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execute.append(waifu2x_ncnn_vulkan_opt_flag[key])
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execute.append(output_directory)
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elif key == 'scale-ratio':
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execute.append(waifu2x_ncnn_vulkan_opt_flag[key])
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# waifu2x_ncnn_vulkan does not accept an arbitrary scale ratio, max is 2
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if scale_ratio == 1:
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execute.append('1')
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else:
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execute.append('2')
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# allow upper if cases to take precedence
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elif value is None or value is False:
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continue
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else:
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execute.append(waifu2x_ncnn_vulkan_opt_flag[key])
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execute.append(str(value))
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Avalon.debug_info(f'Executing: {execute}')
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subprocess.run(execute, check=True, stderr=subprocess.DEVNULL)
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# print thread exiting message
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self.print_lock.acquire()
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Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
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self.print_lock.release()
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return 0
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except Exception as e:
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upscaler_exceptions.append(e)
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