Merge remote-tracking branch 'upstream/master'

This commit is contained in:
BrianPetkovsek 2019-06-14 20:54:04 -04:00
commit fafd5fadd3
3 changed files with 51 additions and 31 deletions

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@ -152,7 +152,7 @@ class Ffmpeg:
input_video
]
execute.extend(self._read_configuration(phase='frames_to_video', section='output_options'))
execute.extend(self._read_configuration(phase='migrating_tracks', section='output_options'))
execute.extend([
output_video

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@ -4,7 +4,7 @@
Name: Video2X Upscaler
Author: K4YT3X
Date Created: December 10, 2018
Last Modified: April 28, 2019
Last Modified: June 13, 2019
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
@ -20,6 +20,7 @@ from image_cleaner import ImageCleaner
from tqdm import tqdm
from waifu2x_caffe import Waifu2xCaffe
from waifu2x_converter import Waifu2xConverter
import copy
import os
import re
import shutil
@ -126,7 +127,7 @@ class Upscaler:
time.sleep(1)
def _upscale_frames(self, w2):
def _upscale_frames(self):
""" Upscale video frames with waifu2x-caffe
This function upscales all the frames extracted
@ -143,9 +144,14 @@ class Upscaler:
# if this thread is not empty, then an exception has occured
self.upscaler_exceptions = []
# initialize waifu2x driver
if self.waifu2x_driver != 'waifu2x_caffe' and self.waifu2x_driver != 'waifu2x_converter':
raise Exception(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
# it's easier to do multi-threading with waifu2x_converter
# the number of threads can be passed directly to waifu2x_converter
if self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.waifu2x_settings, self.model_dir)
progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
progress_bar.start()
@ -197,6 +203,10 @@ class Upscaler:
# 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 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))
@ -251,14 +261,6 @@ class Upscaler:
# initialize objects for ffmpeg and waifu2x-caffe
fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
# initialize waifu2x driver
if self.waifu2x_driver == 'waifu2x_caffe':
w2 = Waifu2xCaffe(self.waifu2x_settings, self.method, self.model_dir)
elif self.waifu2x_driver == 'waifu2x_converter':
w2 = Waifu2xConverter(self.waifu2x_settings, self.model_dir)
else:
raise Exception(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
# extract frames from video
fm.extract_frames(self.input_video, self.extracted_frames)
@ -292,7 +294,7 @@ class Upscaler:
# upscale images one by one using waifu2x
Avalon.info('Starting to upscale extracted images')
self._upscale_frames(w2)
self._upscale_frames()
Avalon.info('Upscaling completed')
# frames to Video

View File

@ -13,7 +13,7 @@ __ __ _ _ ___ __ __
Name: Video2X Controller
Author: K4YT3X
Date Created: Feb 24, 2018
Last Modified: April 28, 2019
Last Modified: June 13, 2019
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
@ -52,7 +52,7 @@ import tempfile
import time
import traceback
VERSION = '2.7.1'
VERSION = '2.7.2'
# each thread might take up to 2.5 GB during initialization.
# (system memory, not to be confused with GPU memory)
@ -71,23 +71,27 @@ def process_arguments():
# video options
file_options = parser.add_argument_group('File Options')
file_options.add_argument('-i', '--input', help='Source video file/directory', action='store', required=True)
file_options.add_argument('-o', '--output', help='Output video file/directory', action='store', required=True)
file_options.add_argument('-i', '--input', help='source video file/directory', action='store')
file_options.add_argument('-o', '--output', help='output video file/directory', action='store')
# upscaler options
upscaler_options = parser.add_argument_group('Upscaler Options')
upscaler_options.add_argument('-m', '--method', help='Upscaling method', action='store', default='gpu', choices=['cpu', 'gpu', 'cudnn'], required=True)
upscaler_options.add_argument('-d', '--driver', help='Waifu2x driver', action='store', default='waifu2x_caffe', choices=['waifu2x_caffe', 'waifu2x_converter'])
upscaler_options.add_argument('-m', '--method', help='upscaling method', action='store', default='gpu', choices=['cpu', 'gpu', 'cudnn'])
upscaler_options.add_argument('-d', '--driver', help='waifu2x driver', action='store', default='waifu2x_caffe', choices=['waifu2x_caffe', 'waifu2x_converter'])
upscaler_options.add_argument('-y', '--model_dir', help='directory containing model JSON files', action='store')
upscaler_options.add_argument('-t', '--threads', help='Number of threads to use for upscaling', action='store', type=int, default=1)
upscaler_options.add_argument('-c', '--config', help='Video2X config file location', action='store', default=f'{os.path.dirname(os.path.abspath(sys.argv[0]))}\\video2x.json')
upscaler_options.add_argument('-b', '--batch', help='Enable batch mode (select all default values to questions)', action='store_true')
upscaler_options.add_argument('-t', '--threads', help='number of threads to use for upscaling', action='store', type=int, default=1)
upscaler_options.add_argument('-c', '--config', help='video2x config file location', action='store', default=f'{os.path.dirname(os.path.abspath(sys.argv[0]))}\\video2x.json')
upscaler_options.add_argument('-b', '--batch', help='enable batch mode (select all default values to questions)', action='store_true')
# scaling options
scaling_options = parser.add_argument_group('Scaling Options')
scaling_options.add_argument('--width', help='Output video width', action='store', type=int)
scaling_options.add_argument('--height', help='Output video height', action='store', type=int)
scaling_options.add_argument('-r', '--ratio', help='Scaling ratio', action='store', type=float)
scaling_options.add_argument('--width', help='output video width', action='store', type=int)
scaling_options.add_argument('--height', help='output video height', action='store', type=int)
scaling_options.add_argument('-r', '--ratio', help='scaling ratio', action='store', type=float)
# extra options
extra_options = parser.add_argument_group('Extra Options')
extra_options.add_argument('-v', '--version', help='display version, lawful information and exit', action='store_true')
# parse arguments
return parser.parse_args()
@ -212,12 +216,28 @@ if __name__ != '__main__':
Avalon.error('This file cannot be imported')
raise ImportError(f'{__file__} cannot be imported')
# print video2x logo
print_logo()
# process CLI arguments
args = process_arguments()
# display version and lawful informaition
if args.version:
print(f'Video2X Version: {VERSION}')
print('Author: K4YT3X')
print('License: GNU GPL v3')
print('Github Page: https://github.com/k4yt3x/video2x')
print('Contact: k4yt3x@k4yt3x.com')
exit(0)
# arguments sanity check
if not args.input:
Avalon.error('You must specify input video file/directory path')
exit(1)
if not args.output:
Avalon.error('You must specify output video file/directory path')
exit(1)
if args.driver == 'waifu2x_converter' and args.width and args.height:
Avalon.error('Waifu2x Converter CPP accepts only scaling ratio')
exit(1)
@ -249,10 +269,7 @@ elif args.driver == 'waifu2x_converter':
Avalon.error('Please check the configuration file settings')
raise FileNotFoundError(waifu2x_settings['waifu2x_converter_path'])
# check if waifu2x path is valid
# read FFMPEG configuration
# read FFmpeg configuration
ffmpeg_settings = config['ffmpeg']
# load video2x settings
@ -287,7 +304,8 @@ try:
# if input specified is a single file
if os.path.isfile(args.input):
""" Upscale single video file """
# upscale single video file
Avalon.info(f'Upscaling single video file: {args.input}')
# check for input output format mismatch
@ -320,7 +338,7 @@ try:
# if input specified is a directory
elif os.path.isdir(args.input):
""" Upscale videos in a directory """
# upscale videos in a directory
Avalon.info(f'Upscaling videos in directory: {args.input}')
for input_video in [f for f in os.listdir(args.input) if os.path.isfile(os.path.join(args.input, f))]:
output_video = f'{args.output}\\{input_video}'
@ -350,7 +368,7 @@ except Exception:
Avalon.error('An exception has occurred')
traceback.print_exc()
finally:
# remove Video2X Cache directory
# remove Video2X cache directory
try:
if not preserve_frames:
shutil.rmtree(video2x_cache_directory)