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added more user-friendly waifu2x path check

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k4yt3x 2019-03-24 23:31:20 -04:00
parent b729dee826
commit 38ff6a3f4b
1 changed files with 14 additions and 2 deletions
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16
bin/video2x.py
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@ -13,7 +13,7 @@ __ __ _ _ ___ __ __
Name: Video2X Controller
Author: K4YT3X
Date Created: Feb 24, 2018
Last Modified: March 19, 2019
Last Modified: March 24, 2019
Licensed under the GNU General Public License Version 3 (GNU GPL v3),
available at: https://www.gnu.org/licenses/gpl-3.0.txt
@ -120,7 +120,7 @@ def check_memory():
if not os.path.isfile('C:\\Program Files\\NVIDIA Corporation\\NVSMI\\nvidia-smi.exe'):
# Nvidia System Management Interface not available
Avalon.warning('Nvidia-smi not available, skipping available memory check')
Avalon.warning('If you experience error \"cudaSuccess out of memory\", try reducing number of threads you\'re using')
Avalon.warning('If you experience error \"cudaSuccess out of memory\", try reducing number of threads you\'re using')
else:
try:
# "0" is GPU ID. Both waifu2x drivers use the first GPU available, therefore only 0 makes sense
@ -201,8 +201,19 @@ config = read_config(args.config)
# load waifu2x configuration
if args.driver == 'waifu2x_caffe':
waifu2x_settings = config['waifu2x_caffe']
if not os.path.isfile(waifu2x_settings['waifu2x_caffe_path']):
Avalon.error('Specified waifu2x-caffe directory doesn\'t exist')
Avalon.error('Please check the configuration file settings')
raise FileNotFoundError(waifu2x_settings['waifu2x_caffe_path'])
elif args.driver == 'waifu2x_converter':
waifu2x_settings = config['waifu2x_converter']
if not os.path.isdir(waifu2x_settings['waifu2x_converter_path']):
Avalon.error('Specified waifu2x-conver-cpp directory doesn\'t exist')
Avalon.error('Please check the configuration file settings')
raise FileNotFoundError(waifu2x_settings['waifu2x_converter_path'])
# check if waifu2x path is valid
# read FFMPEG configuration
ffmpeg_settings = config['ffmpeg']
@ -258,6 +269,7 @@ try:
except Exception:
Avalon.error('An exception has occurred')
traceback.print_exc()
Avalon.warning('If you experience error \"cudaSuccess out of memory\", try reducing number of threads you\'re using')
finally:
# remove Video2X Cache folder
try: