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https://github.com/k4yt3x/video2x.git
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141 lines
7.5 KiB
Python
Executable File
141 lines
7.5 KiB
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Name: Anime4KCPP Driver
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Author: K4YT3X
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Date Created: May 3, 2020
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Last Modified: December 15, 2020
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Editor: fire0shadow
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Last Modified: December 15, 2020
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Description: This class is a high-level wrapper
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for Anime4KCPP.
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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 subprocess
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import sys
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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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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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# fmt: off
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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("-w", "--CNNMode", action="store_true", help="Enable ACNet")
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parser.add_argument("-H", "--HDN", action="store_true", help="Enable HDN mode for ACNet")
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parser.add_argument("-L", "--HDNLevel", type=int, help="Set HDN level")
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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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parser.add_argument("-F", "--forceFps", type=float, help="Set output video fps to the specifying number, 0 to disable")
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parser.add_argument("-D", "--disableProgress", action="store_true", help="disable progress display")
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parser.add_argument("-W", "--webVideo", type=str, help="process the video from URL")
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parser.add_argument("-A", "--alpha", action="store_true", help="preserve the Alpha channel for transparent image")
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return parser.parse_args(arguments)
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# fmt: on
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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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# append FFmpeg path to the end of PATH
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# Anime4KCPP will then use FFmpeg to migrate audio tracks
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os.environ["PATH"] += f';{upscaler.ffmpeg_settings["ffmpeg_path"]}'
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def set_scale_ratio(self, scale_ratio: float):
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self.driver_settings["zoomFactor"] = scale_ratio
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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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# change the working directory to the binary's parent directory
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# so the binary can find shared object files and other files
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os.chdir(pathlib.Path(self.driver_settings["path"]).parent)
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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["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 key == "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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# 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(
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f'[upscaler] Subprocess {os.getpid()} executing: {" ".join(execute)}'
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)
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self.print_lock.release()
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return subprocess.Popen(execute, stdout=sys.stdout, stderr=sys.stderr)
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