Add support for waifu2x-ncnn-vulkan engine

This commit is contained in:
sat3ll
2019-06-26 00:25:27 +01:00
parent b40aee0cd7
commit 4e3565b3ac
5 changed files with 309 additions and 70 deletions

View File

@@ -6,7 +6,9 @@
Name: Video2X Upscaler
Author: K4YT3X
Date Created: December 10, 2018
Last Modified: June 15, 2019
Last Modified: June 26, 2019
Dev: SAT3LL
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
@@ -22,6 +24,7 @@ from image_cleaner import ImageCleaner
from tqdm import tqdm
from waifu2x_caffe import Waifu2xCaffe
from waifu2x_converter import Waifu2xConverter
from waifu2x_ncnn_vulkan import Waifu2xNcnnVulkan
import copy
import os
import re
@@ -147,7 +150,7 @@ class Upscaler:
self.upscaler_exceptions = []
# initialize waifu2x driver
if self.waifu2x_driver != 'waifu2x_caffe' and self.waifu2x_driver != 'waifu2x_converter':
if self.waifu2x_driver != 'waifu2x_caffe' and self.waifu2x_driver != 'waifu2x_converter' and self.waifu2x_driver != 'waifu2x-ncnn-vulkan':
raise Exception(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
# it's easier to do multi-threading with waifu2x_converter
@@ -166,84 +169,159 @@ class Upscaler:
self.progress_bar_exit_signal = True
progress_bar.join()
return
elif self.waifu2x_driver == 'waifu2x_caffe':
# create a container for all upscaler threads
upscaler_threads = []
# create a container for all upscaler threads
upscaler_threads = []
# list all images in the extracted frames
frames = [os.path.join(self.extracted_frames, f) for f in os.listdir(self.extracted_frames) if os.path.isfile(os.path.join(self.extracted_frames, f))]
# list all images in the extracted frames
frames = [os.path.join(self.extracted_frames, f) for f in os.listdir(self.extracted_frames) if os.path.isfile(os.path.join(self.extracted_frames, f))]
# if we have less images than threads,
# create only the threads necessary
if len(frames) < self.threads:
self.threads = len(frames)
# if we have less images than threads,
# create only the threads necessary
if len(frames) < self.threads:
self.threads = len(frames)
# create a directory for each thread and append directory
# name into a list
# create a directory for each thread and append directory
# name into a list
thread_pool = []
thread_directories = []
for thread_id in range(self.threads):
thread_directory = os.path.join(self.extracted_frames, str(thread_id))
thread_directories.append(thread_directory)
thread_pool = []
thread_directories = []
for thread_id in range(self.threads):
thread_directory = os.path.join(self.extracted_frames, str(thread_id))
thread_directories.append(thread_directory)
# delete old directories and create new directories
if os.path.isdir(thread_directory):
shutil.rmtree(thread_directory)
os.mkdir(thread_directory)
# delete old directories and create new directories
if os.path.isdir(thread_directory):
shutil.rmtree(thread_directory)
os.mkdir(thread_directory)
# append directory path into list
thread_pool.append((thread_directory, thread_id))
# append directory path into list
thread_pool.append((thread_directory, thread_id))
# evenly distribute images into each directory
# until there is none left in the directory
for image in frames:
# move image
shutil.move(image, thread_pool[0][0])
# rotate list
thread_pool = thread_pool[-1:] + thread_pool[:-1]
# evenly distribute images into each directory
# until there is none left in the directory
for image in frames:
# move image
shutil.move(image, thread_pool[0][0])
# rotate list
thread_pool = thread_pool[-1:] + thread_pool[:-1]
# create threads and start them
for thread_info in thread_pool:
# create threads and start them
for thread_info in thread_pool:
# create a separate w2 instance for each thread
w2 = Waifu2xCaffe(copy.deepcopy(self.waifu2x_settings), self.method, self.model_dir)
# create a separate w2 instance for each thread
w2 = Waifu2xCaffe(copy.deepcopy(self.waifu2x_settings), self.method, self.model_dir)
# create thread
if self.scale_ratio:
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, False, False, self.image_format, self.upscaler_exceptions))
else:
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, False, self.scale_width, self.scale_height, self.image_format, self.upscaler_exceptions))
thread.name = thread_info[1]
# create thread
if self.scale_ratio:
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, False, False, self.image_format, self.upscaler_exceptions))
else:
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, False, self.scale_width, self.scale_height, self.image_format, self.upscaler_exceptions))
thread.name = thread_info[1]
# add threads into the pool
upscaler_threads.append(thread)
# add threads into the pool
upscaler_threads.append(thread)
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar, args=(thread_directories,))
progress_bar.start()
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar, args=(thread_directories,))
progress_bar.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
image_cleaner.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
image_cleaner.start()
# start all threads
for thread in upscaler_threads:
thread.start()
# start all threads
for thread in upscaler_threads:
thread.start()
# wait for threads to finish
for thread in upscaler_threads:
thread.join()
# wait for threads to finish
for thread in upscaler_threads:
thread.join()
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
self.progress_bar_exit_signal = True
self.progress_bar_exit_signal = True
if len(self.upscaler_exceptions) != 0:
raise(self.upscaler_exceptions[0])
elif self.waifu2x_driver == 'waifu2x-ncnn-vulkan':
# create a container for all upscaler threads
upscaler_threads = []
if len(self.upscaler_exceptions) != 0:
raise(self.upscaler_exceptions[0])
# list all images in the extracted frames
frames = [os.path.join(self.extracted_frames, f) for f in os.listdir(self.extracted_frames) if os.path.isfile(os.path.join(self.extracted_frames, f))]
# if we have less images than threads,
# create only the threads necessary
if len(frames) < self.threads:
self.threads = len(frames)
# create a directory for each thread and append directory
# name into a list
thread_pool = []
thread_directories = []
for thread_id in range(self.threads):
thread_directory = os.path.join(self.extracted_frames, str(thread_id))
thread_directories.append(thread_directory)
# delete old directories and create new directories
if os.path.isdir(thread_directory):
shutil.rmtree(thread_directory)
os.mkdir(thread_directory)
# append directory path into list
thread_pool.append((thread_directory, thread_id))
# evenly distribute images into each directory
# until there is none left in the directory
for image in frames:
# move image
shutil.move(image, thread_pool[0][0])
# rotate list
thread_pool = thread_pool[-1:] + thread_pool[:-1]
# create threads and start them
for thread_info in thread_pool:
# create a separate w2 instance for each thread
w2 = Waifu2xNcnnVulkan(copy.deepcopy(self.waifu2x_settings))
# create thread
thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, self.upscaler_exceptions))
thread.name = thread_info[1]
# add threads into the pool
upscaler_threads.append(thread)
# start progress bar in a different thread
progress_bar = threading.Thread(target=self._progress_bar, args=(thread_directories,))
progress_bar.start()
# create the clearer and start it
Avalon.debug_info('Starting upscaled image cleaner')
image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(upscaler_threads))
image_cleaner.start()
# start all threads
for thread in upscaler_threads:
thread.start()
# wait for threads to finish
for thread in upscaler_threads:
thread.join()
# upscaling done, kill the clearer
Avalon.debug_info('Killing upscaled image cleaner')
image_cleaner.stop()
self.progress_bar_exit_signal = True
if len(self.upscaler_exceptions) != 0:
raise(self.upscaler_exceptions[0])
def run(self):
"""Main controller for Video2X