mirror of
https://github.com/k4yt3x/video2x.git
synced 2025-01-01 10:29:09 +00:00
106 lines
4.1 KiB
Python
106 lines
4.1 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: future_fstrings -*-
|
|
|
|
|
|
"""
|
|
Name: Waifu2x NCNN Vulkan Driver
|
|
Author: SAT3LL
|
|
Date Created: June 26, 2019
|
|
Last Modified: June 26, 2019
|
|
|
|
Dev: K4YT3X
|
|
|
|
Description: This class is a high-level wrapper
|
|
for waifu2x_ncnn_vulkan.
|
|
"""
|
|
from avalon_framework import Avalon
|
|
import os
|
|
import subprocess
|
|
import threading
|
|
|
|
|
|
class Waifu2xNcnnVulkan:
|
|
"""This class communicates with waifu2x ncnn vulkan 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):
|
|
self.waifu2x_settings = waifu2x_settings
|
|
|
|
# arguments passed through command line overwrites config file values
|
|
|
|
# waifu2x_ncnn_vulkan can't find its own model directory if its not in the current dir
|
|
# so change to it
|
|
os.chdir(os.path.join(self.waifu2x_settings['waifu2x_ncnn_vulkan_path'], '..'))
|
|
|
|
self.print_lock = threading.Lock()
|
|
|
|
def upscale(self, input_directory, output_directory, scale_ratio, upscaler_exceptions):
|
|
"""This is the core function for WAIFU2X class
|
|
|
|
Arguments:
|
|
input_directory {string} -- source directory path
|
|
output_directory {string} -- output directory path
|
|
ratio {int} -- output video ratio
|
|
"""
|
|
|
|
try:
|
|
# overwrite config file settings
|
|
self.waifu2x_settings['input_path'] = input_directory
|
|
self.waifu2x_settings['output_path'] = output_directory
|
|
|
|
# print thread start message
|
|
self.print_lock.acquire()
|
|
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
|
|
self.print_lock.release()
|
|
|
|
# waifu2x_ncnn_vulkan accepts arguments in a positional manner
|
|
# See: https://github.com/nihui/waifu2x_ncnn_vulkan#usage
|
|
# waifu2x_ncnn_vulkan.exe [input image] [output png] [noise=-1/0/1/2/3] [scale=1/2] [blocksize=400]
|
|
# noise = noise level, large value means strong denoise effect, -1=no effect
|
|
# scale = scale level, 1=no scale, 2=upscale 2x
|
|
# blocksize = tile size, use smaller value to reduce GPU memory usage, default is 400
|
|
|
|
# waifu2x_ncnn_vulkan does not accept an arbitrary scale ratio, max is 2
|
|
if scale_ratio == 1:
|
|
for raw_frame in os.listdir(input_directory):
|
|
command = [
|
|
os.path.join(input_directory, raw_frame),
|
|
os.path.join(output_directory, raw_frame),
|
|
str(self.waifu2x_settings['noise-level']),
|
|
'1',
|
|
str(self.waifu2x_settings['block-size'])
|
|
]
|
|
execute = [self.waifu2x_settings['waifu2x_ncnn_vulkan_path']]
|
|
execute.extend(command)
|
|
|
|
Avalon.debug_info(f'Executing: {execute}')
|
|
subprocess.run(execute, check=True, stderr=subprocess.DEVNULL)
|
|
else:
|
|
for raw_frame in os.listdir(input_directory):
|
|
command = [
|
|
os.path.join(input_directory, raw_frame),
|
|
os.path.join(output_directory, raw_frame),
|
|
str(self.waifu2x_settings['noise-level']),
|
|
'2',
|
|
str(self.waifu2x_settings['block-size'])
|
|
]
|
|
execute = [self.waifu2x_settings['waifu2x_ncnn_vulkan_path']]
|
|
execute.extend(command)
|
|
|
|
Avalon.debug_info(f'Executing: {execute}')
|
|
subprocess.run(execute, check=True, stderr=subprocess.DEVNULL)
|
|
|
|
# print thread exiting message
|
|
self.print_lock.acquire()
|
|
Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
|
|
self.print_lock.release()
|
|
|
|
return 0
|
|
except Exception as e:
|
|
upscaler_exceptions.append(e)
|