mirror of
https://github.com/k4yt3x/video2x.git
synced 2026-03-15 16:07:31 +08:00
renamed bin to src since python isn't binary
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93
src/waifu2x_ncnn_vulkan.py
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93
src/waifu2x_ncnn_vulkan.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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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: August 3, 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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# built-in imports
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import os
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import subprocess
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import threading
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# third-party imports
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from avalon_framework import Avalon
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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['i'] = input_directory
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self.waifu2x_settings['o'] = output_directory
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self.waifu2x_settings['s'] = scale_ratio
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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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# list to be executed
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# initialize the list with waifu2x binary path as the first element
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execute = [str(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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# is executable key or null or None means that leave this option out (keep default)
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if key == 'waifu2x_ncnn_vulkan_path' or value is None or value is False:
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continue
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else:
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if len(key) == 1:
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execute.append(f'-{key}')
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else:
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execute.append(f'--{key}')
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execute.append(str(value))
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Avalon.debug_info(f'Executing: {execute}')
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completed_command = subprocess.run(execute, check=True)
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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 command execution return code
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return completed_command.returncode
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except Exception as e:
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upscaler_exceptions.append(e)
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