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https://github.com/k4yt3x/video2x.git
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117 lines
6.2 KiB
Python
117 lines
6.2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Name: Waifu2x Caffe Driver
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Author: K4YT3X
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Date Created: May 3, 2020
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Last Modified: May 11, 2020
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Description: This class is a high-level wrapper
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for waifu2x-caffe.
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"""
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# built-in imports
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import argparse
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import os
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import pathlib
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import platform
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import shlex
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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 WrapperMain:
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""" Anime4K CPP wrapper
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"""
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def __init__(self, driver_settings):
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self.driver_settings = driver_settings
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self.print_lock = threading.Lock()
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@staticmethod
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def zero_to_one_float(value):
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value = float(value)
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if value < 0.0 or value > 1.0:
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raise argparse.ArgumentTypeError(f'{value} is not between 0.0 and 1.0')
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return value
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@staticmethod
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def parse_arguments(arguments):
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parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
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parser.error = lambda message: (_ for _ in ()).throw(AttributeError(message))
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parser.add_argument('--help', action='help', help='show this help message and exit')
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parser.add_argument('-i', '--input', type=str, help=argparse.SUPPRESS) # help='File for loading')
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parser.add_argument('-o', '--output', type=str, help=argparse.SUPPRESS) # help='File for outputting')
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parser.add_argument('-p', '--passes', type=int, help='Passes for processing')
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parser.add_argument('-n', '--pushColorCount', type=int, help='Limit the number of color pushes')
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parser.add_argument('-c', '--strengthColor', type=WrapperMain.zero_to_one_float, help='Strength for pushing color,range 0 to 1,higher for thinner')
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parser.add_argument('-g', '--strengthGradient', type=WrapperMain.zero_to_one_float, help='Strength for pushing gradient,range 0 to 1,higher for sharper')
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parser.add_argument('-z', '--zoomFactor', type=float, help='zoom factor for resizing')
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parser.add_argument('-t', '--threads', type=int, help='Threads count for video processing')
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parser.add_argument('-f', '--fastMode', action='store_true', help='Faster but maybe low quality')
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parser.add_argument('-v', '--videoMode', action='store_true', help='Video process')
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parser.add_argument('-s', '--preview', action='store_true', help='Preview image')
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parser.add_argument('-b', '--preprocessing', action='store_true', help='Enable pre processing')
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parser.add_argument('-a', '--postprocessing', action='store_true', help='Enable post processing')
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parser.add_argument('-r', '--preFilters', type=int, help='Enhancement filter, only working when preProcessing is true,there are 5 options by binary:Median blur=0000001, Mean blur=0000010, CAS Sharpening=0000100, Gaussian blur weak=0001000, Gaussian blur=0010000, Bilateral filter=0100000, Bilateral filter faster=1000000, you can freely combine them, eg: Gaussian blur weak + Bilateral filter = 0001000 | 0100000 = 0101000 = 40(D)')
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parser.add_argument('-e', '--postFilters', type=int, help='Enhancement filter, only working when postProcessing is true,there are 5 options by binary:Median blur=0000001, Mean blur=0000010, CAS Sharpening=0000100, Gaussian blur weak=0001000, Gaussian blur=0010000, Bilateral filter=0100000, Bilateral filter faster=1000000, you can freely combine them, eg: Gaussian blur weak + Bilateral filter = 0001000 | 0100000 = 0101000 = 40(D), so you can put 40 to enable Gaussian blur weak and Bilateral filter, which also is what I recommend for image that < 1080P, 48 for image that >= 1080P, and for performance I recommend to use 72 for video that < 1080P, 80 for video that >=1080P')
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parser.add_argument('-q', '--GPUMode', action='store_true', help='Enable GPU acceleration')
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parser.add_argument('-l', '--listGPUs', action='store_true', help='list GPUs')
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parser.add_argument('-h', '--platformID', type=int, help='Specify the platform ID')
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parser.add_argument('-d', '--deviceID', type=int, help='Specify the device ID')
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parser.add_argument('-C', '--codec', type=str, help='Specify the codec for encoding from mp4v(recommended in Windows), dxva(for Windows), avc1(H264, recommended in Linux), vp09(very slow), hevc(not support in Windowds), av01(not support in Windowds) (string [=mp4v])')
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return parser.parse_args(arguments)
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def load_configurations(self, upscaler):
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self.driver_settings['zoomFactor'] = upscaler.scale_ratio
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self.driver_settings['threads'] = upscaler.processes
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def upscale(self, input_file, output_file):
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"""This is the core function for WAIFU2X class
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Arguments:
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input_file {string} -- source directory path
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output_file {string} -- output directory path
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width {int} -- output video width
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height {int} -- output video height
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"""
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# overwrite config file settings
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self.driver_settings['input'] = input_file
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self.driver_settings['output'] = output_file
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# Anime4KCPP will look for Anime4KCPPKernel.cl under the current working directory
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# change the CWD to its containing directory so it will find it
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if platform.system() == 'Windows':
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os.chdir(pathlib.Path(self.driver_settings['path']).parent)
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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 = [self.driver_settings.pop('path')]
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for key in self.driver_settings.keys():
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value = self.driver_settings[key]
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# null or None means that leave this option out (keep default)
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if 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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# true means key is an option
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if value is not True:
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execute.append(str(value))
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# return the Popen object of the new process created
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self.print_lock.acquire()
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Avalon.debug_info(f'[upscaler] Subprocess {os.getpid()} executing: {shlex.join(execute)}')
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self.print_lock.release()
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return subprocess.Popen(execute)
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