2.6.0 complete redesign of configuration file, with lots of enhancements

bin/ffmpeg.py

@@ -4,11 +4,12 @@
 Name: FFMPEG Class
 Author: K4YT3X
 Date Created: Feb 24, 2018
-Last Modified: March 4, 2019
+Last Modified: March 9, 2019
 
 Description: This class handles all FFMPEG related
 operations.
 """
+from avalon_framework import Avalon
 import json
 import subprocess
 
@@ -21,11 +22,22 @@ class Ffmpeg:
     and inserting audio tracks to videos.
     """
 
-    def __init__(self, ffmpeg_path, ffmpeg_arguments, hardware_acc=False):
+    def __init__(self, ffmpeg_settings):
-        self.ffmpeg_path = ffmpeg_path
+        self.ffmpeg_settings = ffmpeg_settings
-        self.ffmpeg_binary = '\"{}ffmpeg.exe\"'.format(ffmpeg_path)
+        self._parse_settings()
-        self.hardware_acc = hardware_acc
+    
-        self.ffmpeg_arguments = ffmpeg_arguments
+    def _parse_settings(self):
+        """ Parse ffmpeg settings
+        """
+        self.ffmpeg_path = self.ffmpeg_settings['ffmpeg_path']
+        # Add a forward slash to directory if not present
+        # otherwise there will be a format error
+        if self.ffmpeg_path[-1] != '/' and self.ffmpeg_path[-1] != '\\':
+            self.ffmpeg_path = '{}/'.format(self.ffmpeg_path)
+
+        self.ffmpeg_binary = '\"{}ffmpeg.exe\"'.format(self.ffmpeg_path)
+        self.ffmpeg_hwaccel = self.ffmpeg_settings['ffmpeg_hwaccel']
+        self.extra_arguments = self.ffmpeg_settings['extra_arguments']
 
     def get_video_info(self, input_video):
         """ Gets input video information
@@ -39,7 +51,9 @@ class Ffmpeg:
         Returns:
             dictionary -- JSON text of input video information
         """
-        json_str = subprocess.check_output('\"{}ffprobe.exe\" -v quiet -print_format json -show_format -show_streams \"{}\"'.format(self.ffmpeg_path, input_video))
+        execute = '\"{}ffprobe.exe\" -v quiet -print_format json -show_format -show_streams \"{}\"'.format(self.ffmpeg_path, input_video)
+        Avalon.debug_info('Executing: {}'.format(execute))
+        json_str = subprocess.check_output(execute)
         return json.loads(json_str.decode('utf-8'))
 
     def extract_frames(self, input_video, extracted_frames):
@@ -53,8 +67,8 @@ class Ffmpeg:
             extracted_frames {string} -- video output folder
         """
         execute = '{} -i \"{}\" \"{}\"\\extracted_%0d.png -y {}'.format(
-            self.ffmpeg_binary, input_video, extracted_frames, ' '.join(self.ffmpeg_arguments))
+            self.ffmpeg_binary, input_video, extracted_frames, ' '.join(self.extra_arguments))
-        print('Executing: {}'.format(execute))
+        Avalon.debug_info('Executing: {}'.format(execute))
         subprocess.run(execute, shell=True, check=True)
 
     def convert_video(self, framerate, resolution, upscaled_frames):
@@ -69,8 +83,8 @@ class Ffmpeg:
             upscaled_frames {string} -- source images folder
         """
         execute = '{} -r {} -f image2 -s {} -i \"{}\"\\extracted_%d.png -vcodec libx264 -crf 25 -pix_fmt yuv420p \"{}\"\\no_audio.mp4 -y {}'.format(
-            self.ffmpeg_binary, framerate, resolution, upscaled_frames, upscaled_frames, ' '.join(self.ffmpeg_arguments))
+            self.ffmpeg_binary, framerate, resolution, upscaled_frames, upscaled_frames, ' '.join(self.extra_arguments))
-        print('Executing: {}'.format(execute))
+        Avalon.debug_info('Executing: {}'.format(execute))
         subprocess.run(execute, shell=True, check=True)
 
     def migrate_audio_tracks_subtitles(self, input_video, output_video, upscaled_frames):
@@ -82,8 +96,8 @@ class Ffmpeg:
             upscaled_frames {string} -- directory containing upscaled frames
         """
         execute = '{} -i \"{}\"\\no_audio.mp4 -i \"{}\" -map 0:v:0? -map 1? -c copy -map -1:v? \"{}\" -y {}'.format(
-            self.ffmpeg_binary, upscaled_frames, input_video, output_video, ' '.join(self.ffmpeg_arguments))
+            self.ffmpeg_binary, upscaled_frames, input_video, output_video, ' '.join(self.extra_arguments))
         # execute = '{} -i \"{}\"\\no_audio.mp4 -i \"{}\" -c:a copy -c:v copy -c:s copy -map 0:v? -map 1:a? -map 1:s? \"{}\" -y {}'.format(
             # self.ffmpeg_binary, upscaled_frames, input_video, output_video, ' '.join(self.ffmpeg_arguments))
-        print('Executing: {}'.format(execute))
+        Avalon.debug_info('Executing: {}'.format(execute))
         subprocess.run(execute, shell=True, check=True)

bin/upscaler.py

@@ -4,7 +4,7 @@
 Name: Video2X Upscaler
 Author: K4YT3X
 Date Created: December 10, 2018
-Last Modified: March 4, 2019
+Last Modified: March 9, 2019
 
 Licensed under the GNU General Public License Version 3 (GNU GPL v3),
     available at: https://www.gnu.org/licenses/gpl-3.0.txt
@@ -32,13 +32,13 @@ MODELS_AVAILABLE = ['upconv_7_anime_style_art_rgb', 'upconv_7_photo', 'anime_sty
 
 class Upscaler:
 
-    def __init__(self, input_video, output_video, method, waifu2x_path, ffmpeg_path, waifu2x_driver='waifu2x_caffe', ffmpeg_arguments=[], ffmpeg_hwaccel='auto', output_width=False, output_height=False, ratio=False, model_type='anime_style_art_rgb', threads=3, video2x_cache_folder='{}\\video2x'.format(tempfile.gettempdir()), preserve_frames=False):
+    def __init__(self, input_video, output_video, method, waifu2x_settings, ffmpeg_settings, waifu2x_driver='waifu2x_caffe', scale_width=False, scale_height=False, scale_ratio=False, model_type='models/cunet', threads=5, video2x_cache_folder='{}\\video2x'.format(tempfile.gettempdir()), preserve_frames=False):
         # Mandatory arguments
         self.input_video = input_video
         self.output_video = output_video
         self.method = method
-        self.waifu2x_path = waifu2x_path
+        self.waifu2x_settings = waifu2x_settings
-        self.ffmpeg_path = ffmpeg_path
+        self.ffmpeg_settings = ffmpeg_settings
         self.waifu2x_driver = waifu2x_driver
 
         # Check sanity of waifu2x_driver option
@@ -46,11 +46,9 @@ class Upscaler:
             raise Exception('Unrecognized waifu2x driver: {}'.format(waifu2x_driver))
 
         # Optional arguments
-        self.ffmpeg_arguments = ffmpeg_arguments
+        self.scale_width = scale_width
-        self.ffmpeg_hwaccel = ffmpeg_hwaccel
+        self.scale_height = scale_height
-        self.output_width = output_width
+        self.scale_ratio = scale_ratio
-        self.output_height = output_height
-        self.ratio = ratio
         self.model_type = model_type
         self.threads = threads
 
@@ -66,10 +64,6 @@ class Upscaler:
 
         self.preserve_frames = preserve_frames
 
-        # If hardware acceleration enabled, append arguments
-        if self.ffmpeg_hwaccel:
-            self.ffmpeg_arguments.append('-hwaccel {}'.format(self.ffmpeg_hwaccel))
-
     def cleanup(self):
         # Delete temp directories when done
         # Avalon framework cannot be used if python is shutting down
@@ -84,14 +78,16 @@ class Upscaler:
         """ Validate upscaling model
         """
         if self.model_type not in MODELS_AVAILABLE:
-            raise InvalidModelType('Specified model type not available')
+            if self.model_type.split('/')[-1] not in MODELS_AVAILABLE:
+                if self.model_type.split('\\')[-1] not in MODELS_AVAILABLE:
+                    raise InvalidModelType('Specified model type not available')
 
     def _check_arguments(self):
         # Check if arguments are valid / all necessary argument
         # values are specified
         if not self.input_video:
             raise ArgumentError('You need to specify the video to process')
-        elif (not self.output_width or not self.output_height) and not self.ratio:
+        elif (not self.scale_width or not self.scale_height) and not self.scale_ratio:
             raise ArgumentError('You must specify output video width and height or upscale factor')
         elif not self.output_video:
             raise ArgumentError('You need to specify the output video name')
@@ -155,7 +151,7 @@ class Upscaler:
             progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
             progress_bar.start()
 
-            w2.upscale(self.extracted_frames, self.upscaled_frames, self.ratio, self.threads)
+            w2.upscale(self.extracted_frames, self.upscaled_frames, self.scale_ratio, self.threads)
             for image in [f for f in os.listdir(self.upscaled_frames) if os.path.isfile(os.path.join(self.upscaled_frames, f))]:
                 renamed = re.sub('_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.png', '.png', image)
                 shutil.move('{}\\{}'.format(self.upscaled_frames, image), '{}\\{}'.format(self.upscaled_frames, renamed))
@@ -203,7 +199,10 @@ class Upscaler:
         # Create threads and start them
         for thread_info in thread_pool:
             # Create thread
-            thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.output_width, self.output_height))
+            if self.scale_ratio:
+                thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, False, self.scale_width, self.scale_height))
+            else:
+                thread = threading.Thread(target=w2.upscale, args=(thread_info[0], self.upscaled_frames, self.scale_ratio, False, False))
             thread.name = thread_info[1]
 
             # Add threads into the pool
@@ -239,25 +238,14 @@ class Upscaler:
         self.input_video = os.path.abspath(self.input_video)
         self.output_video = os.path.abspath(self.output_video)
 
-        # Add a forward slash to directory if not present
-        # otherwise there will be a format error
-        if self.ffmpeg_path[-1] != '/' and self.ffmpeg_path[-1] != '\\':
-            self.ffmpeg_path = '{}/'.format(self.ffmpeg_path)
-
-        # Check if FFMPEG and waifu2x are present
-        if not os.path.isdir(self.ffmpeg_path):
-            raise FileNotFoundError(self.ffmpeg_path)
-        if not os.path.isfile(self.waifu2x_path) and not os.path.isdir(self.waifu2x_path):
-            raise FileNotFoundError(self.waifu2x_path)
-
         # Initialize objects for ffmpeg and waifu2x-caffe
-        fm = Ffmpeg(self.ffmpeg_path, self.ffmpeg_arguments)
+        fm = Ffmpeg(self.ffmpeg_settings)
 
         # Initialize waifu2x driver
         if self.waifu2x_driver == 'waifu2x_caffe':
-            w2 = Waifu2xCaffe(self.waifu2x_path, self.method, self.model_type)
+            w2 = Waifu2xCaffe(self.waifu2x_settings, self.method, self.model_type)
         elif self.waifu2x_driver == 'waifu2x_converter':
-            w2 = Waifu2xConverter(self.waifu2x_path)
+            w2 = Waifu2xConverter(self.waifu2x_settings)
         else:
             raise Exception('Unrecognized waifu2x driver: {}'.format(self.waifu2x_driver))
 
@@ -286,11 +274,11 @@ class Upscaler:
         Avalon.info('Framerate: {}'.format(framerate))
 
         # Width/height will be coded width/height x upscale factor
-        if self.ratio:
+        if self.scale_ratio:
             coded_width = video_info['streams'][video_stream_index]['coded_width']
             coded_height = video_info['streams'][video_stream_index]['coded_height']
-            self.output_width = self.ratio * coded_width
+            self.scale_width = self.scale_ratio * coded_width
-            self.output_height = self.ratio * coded_height
+            self.scale_height = self.scale_ratio * coded_height
 
         # Upscale images one by one using waifu2x
         Avalon.info('Starting to upscale extracted images')
@@ -301,7 +289,7 @@ class Upscaler:
         Avalon.info('Converting extracted frames into video')
 
         # Use user defined output size
-        fm.convert_video(framerate, '{}x{}'.format(self.output_width, self.output_height), self.upscaled_frames)
+        fm.convert_video(framerate, '{}x{}'.format(self.scale_width, self.scale_height), self.upscaled_frames)
         Avalon.info('Conversion completed')
 
         # Migrate audio tracks and subtitles

bin/video2x.json

@@ -1,8 +1,49 @@
 {
-  "waifu2x_path": "C:/Program Files (x86)/waifu2x-caffe/waifu2x-caffe-cui.exe",
+  "waifu2x_caffe": {
-  "ffmpeg_path": "C:/Program Files (x86)/ffmpeg/bin/",
+    "waifu2x_caffe_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\waifu2x-caffe\\waifu2x-caffe-cui.exe",
-  "ffmpeg_arguments": [],
+    "mode": "noise_scale",
-  "ffmpeg_hwaccel": "auto",
+    "scale_ratio": null,
-  "video2x_cache_folder": false,
+    "scale_width": null,
-  "preserve_frames": false
+    "scale_height": null,
+    "noise_level": 3,
+    "process": "gpu",
+    "crop_size": 128,
+    "output_quality": -1,
+    "output_depth": 8,
+    "batch_size": 1,
+    "gpu": 0,
+    "tta": 0,
+    "input_path": null,
+    "output_path": null,
+    "model_dir": "models/cunet",
+    "crop_w": null,
+    "crop_h": null
+  },
+
+  "waifu2x_converter": {
+    "waifu2x_converter_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\waifu2x-converter-cpp",
+    "block_size": null,
+    "disable-gpu": null,
+    "force-OpenCL": null,
+    "processor": null,
+    "jobs": null,
+    "model_dir": null,
+    "scale_ratio": null,
+    "noise_level": 3,
+    "mode": "noise_scale",
+    "quiet": true,
+    "output": null,
+    "input": null
+  },
+
+  "ffmpeg":{
+    "ffmpeg_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\ffmpeg-4.1-win64-static\\bin",
+    "ffmpeg_hwaccel": "auto",
+    "extra_arguments": []
+  },
+
+  "video2x": {
+    "video2x_cache_folder": false,
+    "preserve_frames": false
+  }
 }

bin/video2x.py

@@ -13,7 +13,7 @@ __      __  _       _                  ___   __   __
 Name: Video2X Controller
 Author: K4YT3X
 Date Created: Feb 24, 2018
-Last Modified: March 4, 2019
+Last Modified: March 9, 2019
 
 Licensed under the GNU General Public License Version 3 (GNU GPL v3),
     available at: https://www.gnu.org/licenses/gpl-3.0.txt
@@ -38,7 +38,7 @@ import tempfile
 import time
 import traceback
 
-VERSION = '2.5.0'
+VERSION = '2.6.0'
 
 # Each thread might take up to 2.5 GB during initialization.
 # (system memory, not to be confused with GPU memory)
@@ -53,7 +53,7 @@ def process_arguments():
     This allows users to customize options
     for the output video.
     """
-    parser = argparse.ArgumentParser()
+    parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
 
     # Video options
     basic_options = parser.add_argument_group('Basic Options')
@@ -61,7 +61,7 @@ def process_arguments():
     basic_options.add_argument('-o', '--output', help='Specify output video file/directory', action='store', default=False, required=True)
     basic_options.add_argument('-m', '--method', help='Specify upscaling method', action='store', default='gpu', choices=['cpu', 'gpu', 'cudnn'], required=True)
     basic_options.add_argument('-d', '--driver', help='Waifu2x driver', action='store', default='waifu2x_caffe', choices=['waifu2x_caffe', 'waifu2x_converter'])
-    basic_options.add_argument('-y', '--model_type', help='Specify model to use', action='store', default='anime_style_art_rgb', choices=MODELS_AVAILABLE)
+    basic_options.add_argument('-y', '--model_type', help='Specify model to use', action='store', default='models/cunet', choices=MODELS_AVAILABLE)
     basic_options.add_argument('-t', '--threads', help='Specify number of threads to use for upscaling', action='store', type=int, default=5)
     basic_options.add_argument('-c', '--config', help='Manually specify config file', action='store', default='{}\\video2x.json'.format(os.path.dirname(os.path.abspath(__file__))))
 
@@ -179,12 +179,19 @@ check_memory()
 
 # Read configurations from JSON
 config = read_config(args.config)
-waifu2x_path = config['waifu2x_path']
+
-ffmpeg_path = config['ffmpeg_path']
+# load waifu2x configuration
-ffmpeg_arguments = config['ffmpeg_arguments']
+if args.driver == 'waifu2x_caffe':
-ffmpeg_hwaccel = config['ffmpeg_hwaccel']
+    waifu2x_settings = config['waifu2x_caffe']
-video2x_cache_folder = config['video2x_cache_folder']
+elif args.driver == 'waifu2x_converter':
-preserve_frames = config['preserve_frames']
+    waifu2x_settings = config['waifu2x_converter']
+
+# read FFMPEG configuration
+ffmpeg_settings = config['ffmpeg']
+
+# load video2x settings
+video2x_cache_folder = config['video2x']['video2x_cache_folder']
+preserve_frames = config['video2x']['preserve_frames']
 
 # Create temp directories if they don't exist
 if not video2x_cache_folder:
@@ -214,7 +221,7 @@ try:
     if os.path.isfile(args.input):
         """ Upscale single video file """
         Avalon.info('Upscaling single video file: {}'.format(args.input))
-        upscaler = Upscaler(input_video=args.input, output_video=args.output, method=args.method, waifu2x_path=waifu2x_path, ffmpeg_path=ffmpeg_path, waifu2x_driver=args.driver, ffmpeg_arguments=ffmpeg_arguments, ffmpeg_hwaccel=ffmpeg_hwaccel, output_width=args.width, output_height=args.height, ratio=args.ratio, model_type=args.model_type, threads=args.threads, video2x_cache_folder=video2x_cache_folder)
+        upscaler = Upscaler(input_video=args.input, output_video=args.output, method=args.method, waifu2x_settings=waifu2x_settings, ffmpeg_settings=ffmpeg_settings, waifu2x_driver=args.driver, scale_width=args.width, scale_height=args.height, scale_ratio=args.ratio, model_type=args.model_type, threads=args.threads, video2x_cache_folder=video2x_cache_folder)
         upscaler.run()
         upscaler.cleanup()
     elif os.path.isdir(args.input):
@@ -222,7 +229,7 @@ try:
         Avalon.info('Upscaling videos in folder/directory: {}'.format(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 = '{}\\{}'.format(args.output, input_video)
-            upscaler = Upscaler(input_video=os.path.join(args.input, input_video), output_video=output_video, method=args.method, waifu2x_path=waifu2x_path, ffmpeg_path=ffmpeg_path, waifu2x_driver=args.driver, ffmpeg_arguments=ffmpeg_arguments, ffmpeg_hwaccel=ffmpeg_hwaccel, output_width=args.width, output_height=args.height, ratio=args.ratio, model_type=args.model_type, threads=args.threads, video2x_cache_folder=video2x_cache_folder)
+            upscaler = Upscaler(input_video=os.path.join(args.input, input_video), output_video=output_video, method=args.method, waifu2x_settings=waifu2x_settings, ffmpeg_settings=ffmpeg_settings, waifu2x_driver=args.driver, scale_width=args.width, scale_height=args.height, scale_ratio=args.ratio, model_type=args.model_type, threads=args.threads, video2x_cache_folder=video2x_cache_folder)
             upscaler.run()
             upscaler.cleanup()
     else:

bin/waifu2x_caffe.py

@@ -4,7 +4,7 @@
 Name: Waifu2x Caffe Driver
 Author: K4YT3X
 Date Created: Feb 24, 2018
-Last Modified: March 4, 2019
+Last Modified: March 9, 2019
 
 Description: This class controls waifu2x
 engine
@@ -23,33 +23,70 @@ class Waifu2xCaffe:
     the upscale function.
     """
 
-    def __init__(self, waifu2x_path, method, model_type):
+    def __init__(self, waifu2x_settings, process, model_dir):
-        self.waifu2x_path = waifu2x_path
+        self.waifu2x_settings = waifu2x_settings
-        self.method = method
+        self.waifu2x_settings['process'] = process
-        self.model_type = model_type
+        self.waifu2x_settings['model_dir'] = model_dir
+
+        # arguments passed through command line overwrites config file values
+        self.process = process
+        self.model_dir = model_dir
         self.print_lock = threading.Lock()
 
-    def upscale(self, folderin, folderout, width, height):
+    def upscale(self, input_folder, output_folder, scale_ratio, scale_width, scale_height):
         """This is the core function for WAIFU2X class
 
         Arguments:
-            folderin {string} -- source folder path
+            input_folder {string} -- source folder path
-            folderout {string} -- output folder path
+            output_folder {string} -- output folder path
             width {int} -- output video width
             height {int} -- output video height
         """
 
+        # overwrite config file settings
+        self.waifu2x_settings['input_path'] = input_folder
+        self.waifu2x_settings['output_path'] = output_folder
+
+        if scale_ratio:
+            self.waifu2x_settings['scale_ratio'] = scale_ratio
+        elif scale_width and scale_height:
+            self.waifu2x_settings['scale_width'] = scale_width
+            self.waifu2x_settings['scale_height'] = scale_height
+
         # Print thread start message
         self.print_lock.acquire()
         Avalon.debug_info('[upscaler] Thread {} started'.format(threading.current_thread().name))
         self.print_lock.release()
 
+        """
         # Create string for execution
-        # execute = ['{}'.format(self.waifu2x_path), '-p', self.method, '-I', 'png', '-i', '\"{}\"'.format(folderin), '-e', 'png', '-o', folderout, '-w', str(width), '-h', str(height), '-n', '3', '-m', 'noise_scale', '-y', self.model_type]
         execute = '\"{}\" -p {} -I png -i \"{}\" -e png -o {} -w {} -h {} -n 3 -m noise_scale -y {}'.format(
-            self.waifu2x_path, self.method, folderin, folderout, width, height, self.model_type)
+            self.waifu2x_path, self.process, input_folder, output_folder, width, height, self.model_dir)
-        print('Executing: {}'.format(execute))
+        """
-        subprocess.run(execute, shell=True, check=True)
+
+        execute = []
+
+        for key in self.waifu2x_settings.keys():
+
+            value = self.waifu2x_settings[key]
+
+            # The key doesn't need to be passed in this case
+            if key == 'waifu2x_caffe_path':
+                execute.append(str(value))
+
+            # Null or None means that leave this option out (keep default)
+            elif value is None or value is False:
+                continue
+
+            else:
+                if len(key) == 1:
+                    execute.append('-{}'.format(key))
+                else:
+                    execute.append('--{}'.format(key))
+                execute.append(str(value))
+        
+        Avalon.debug_info('Executing: {}'.format(execute))
+        subprocess.run(execute, check=True)
 
         # Print thread exiting message
         self.print_lock.acquire()

bin/waifu2x_converter.py

@@ -4,7 +4,7 @@
 Name: Waifu2x Converter CPP Driver
 Author: K4YT3X
 Date Created: February 8, 2019
-Last Modified: March 4, 2019
+Last Modified: March 9, 2019
 
 Description: This class controls waifu2x
 engine
@@ -23,30 +23,62 @@ class Waifu2xConverter:
     the upscale function.
     """
 
-    def __init__(self, waifu2x_path):
+    def __init__(self, waifu2x_settings):
-        self.waifu2x_path = waifu2x_path
+        self.waifu2x_settings = waifu2x_settings
         self.print_lock = threading.Lock()
 
-    def upscale(self, folderin, folderout, scale_ratio, threads):
+    def upscale(self, input_folder, output_folder, scale_ratio, jobs):
         """ Waifu2x Converter Driver Upscaler
         This method executes the upscaling of extracted frames.
 
         Arguments:
-            folderin {string} -- source folder path
+            input_folder {string} -- source folder path
-            folderout {string} -- output folder path
+            output_folder {string} -- output folder path
             scale_ratio {int} -- frames' scale ratio
             threads {int} -- number of threads
         """
 
+        # overwrite config file settings
+        self.waifu2x_settings['input'] = input_folder
+        self.waifu2x_settings['output'] = output_folder
+        self.waifu2x_settings['scale_ratio'] = scale_ratio
+        self.waifu2x_settings['jobs'] = jobs
+
+        # models_rgb must be specified manually
+        self.waifu2x_settings['model_dir'] = '{}\\models_rgb'.format(self.waifu2x_settings['waifu2x_converter_path'])
+
         # Print thread start message
         self.print_lock.acquire()
         Avalon.debug_info('[upscaler] Thread {} started'.format(threading.current_thread().name))
         self.print_lock.release()
 
-        # Create string for execution
+        # Create list for execution
-        execute = '\"{}\\waifu2x-converter-cpp.exe\" -q -i \"{}\" -o {} --scale_ratio {} --noise_level 3 -m noise_scale -j {} --model_dir {}\\models_rgb'.format(
+        execute = []
-            self.waifu2x_path, folderin, folderout, scale_ratio, threads, self.waifu2x_path)
+
-        print('Executing: {}'.format(execute))
+        for key in self.waifu2x_settings.keys():
+
+            value = self.waifu2x_settings[key]
+
+            # The key doesn't need to be passed in this case
+            if key == 'waifu2x_converter_path':
+                execute.append('{}\\waifu2x-converter-cpp.exe'.format(str(value)))
+
+            # Null or None means that leave this option out (keep default)
+            elif value is None or value is False:
+                continue
+            else:
+                if len(key) == 1:
+                    execute.append('-{}'.format(key))
+                else:
+                    execute.append('--{}'.format(key))
+
+                # True means key is an option
+                if value is True:
+                    continue
+
+                execute.append(str(value))
+        
+        Avalon.debug_info('Executing: {}'.format(execute))
         subprocess.run(execute, check=True)
 
         # Print thread exiting message