added Bad Apple!! to demo videos

updated CLI usages
updated GUI screenshot
2026-02-07 21:19:54 +08:00 · 2020-05-11 16:24:09 -04:00 · 2020-05-11 06:57:16 -04:00 · 2020-05-11 05:32:39 -04:00 · 2020-05-11 05:18:00 -04:00 · 2020-05-11 05:13:06 -04:00
38 changed files with 4942 additions and 1737 deletions
--- a/.github/FUNDING.yml
+++ b/.github/FUNDING.yml
@@ -0,0 +1,12 @@
+# These are supported funding model platforms
+
+github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
+patreon: k4yt3x
+open_collective: # Replace with a single Open Collective username
+ko_fi: # Replace with a single Ko-fi username
+tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
+community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
+liberapay: # Replace with a single Liberapay username
+issuehunt: # Replace with a single IssueHunt username
+otechie: # Replace with a single Otechie username
+custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']
--- a/.gitignore
+++ b/.gitignore
@@ -1,9 +1,3 @@
-# Runtime files
-upscaled/
-frames/
-waifu2x-caffe/
-testvid.mp4
-
 # PyCharm
 .idea/

@@ -57,8 +51,8 @@ coverage.xml
 .pytest_cache/

 # Translations
-*.mo
-*.pot
+#*.mo
+#*.pot

 # Django stuff:
 *.log
--- a/README.md
+++ b/README.md
@@ -1,72 +1,72 @@
-# Video2X Lossless Video Enlarger
+<p align="center">
+   <img src="https://user-images.githubusercontent.com/21986859/81489504-c7d1f780-9265-11ea-86c8-cc0316e2082d.png"/>
+</p>
+
+![Master Branch Version](https://img.shields.io/badge/master-v4.0.0-9cf?style=flat-square)
+![GitHub release (latest by date)](https://img.shields.io/github/v/release/k4yt3x/video2x?style=flat-square)
+![GitHub All Releases](https://img.shields.io/github/downloads/k4yt3x/video2x/total?style=flat-square)
+![GitHub](https://img.shields.io/github/license/k4yt3x/video2x?style=flat-square)
+![Platforms](https://img.shields.io/badge/Platforms-Windows%20%7C%20Linux%20%7C%20macOS-blue?style=flat-square)
+<img alt="Become a Patron!"
+src="https://c5.patreon.com/external/logo/become_a_patron_button@2x.png"
+href="https://www.patreon.com/bePatron?u=34970782"
+height=20 />
+
+<!--# Video2X Lossless Video Enlarger-->

 ### Official Discussion Group (Telegram): https://t.me/video2x

-## Download Builds (Windows)
+## [Download Builds](https://github.com/k4yt3x/video2x/releases) (Windows)

-You can go to the [releases page](https://github.com/k4yt3x/video2x/releases) to download the latest builds of `Video2X`. The exe files will require no Python or Python module installation.
+You can go to the [releases page](https://github.com/k4yt3x/video2x/releases) to download the latest builds of Video2X. The exe files will require no Python or Python module installation. There are two editions available.

-The **`full`** package provides all packages that will possibly be needed by `Video2X`, including `FFmpeg`, `waifu2x-caffe`, `waifu2x-converter-cpp`, `waifu2x-ncnn-vulkan`, and `Anime4K`. The config file (`video2x.json`) is also already configured for the environment. All you need to do is just to launch `video2x.exe`.
+- **`Full`**: full package comes pre-configured with **all** dependencies like `FFmpeg` and `waifu2x-caffe`.
+- **`Light`**: ligt package comes with only Video2X binaries and a template configuration file. The user will either have to run the setup script or install and configure dependencies themselves.

-The **`light`** package provides only the most basic functions of `Video2X`. Only `video2x.exe`, `video2x_setup.exe` and `video2x.json` are included. To setup dependencies (e.g. `FFmpeg` and `Waifu2X`) automatically, simply launch `video2x_setup.exe`.
+Go to the [Quick Start](#quick-start) section for usages.

-## Prerequisites
+## Introduction

-Component names that are **bolded** can be automatically downloaded and configured with the `video2x_setup.py` script.
+Video2X is a video upscaling software based on Waifu2X, Anime4K and SRMD written in Python 3. It upscales videos and restores details from low-resolution videos. Below is a side-by-side preview.

-1. Operating System: Windows / Linux
-2. AMD GPU / Nvidia GPU
-3. AMD GPU driver / Nvidia GPU driver / Nvidia CUDNN
-4. [**FFmpeg**](https://ffmpeg.zeranoe.com/builds/)
-5. One of the following drivers
-   - [**waifu2x-caffe**](https://github.com/lltcggie/waifu2x-caffe/releases)
-   - [**waifu2x-converter-cpp**](https://github.com/DeadSix27/waifu2x-converter-cpp/releases)
-   - [**waifu2x-ncnn-vulkan**](https://github.com/nihui/waifu2x-ncnn-vulkan)
-   - [**Anime4K**](https://github.com/bloc97/Anime4K)
+![Spirited Away Demo](https://user-images.githubusercontent.com/21986859/49412428-65083280-f73a-11e8-8237-bb34158a545e.png)

-## Recent Changes
+*Upscale Comparison Demonstration*

-### 3.0.0 (November 26, 2019)
-
- Linux compatibility
- Configuration file changed to YAML format
-  - You may still use a JSON-formatted config file. To do so, please specify `-c video2x.json`.
- Other code clean-up and optimization
-
-### 2.10.0 (August 16, 2019)
-
- **Added support for [Anime4K](https://github.com/bloc97/Anime4K)**
-
-### 2.9.0 (July 27, 2019)
-
- Changed file handling method from `os` to `pathlib`
- Removed f_string dependency and support for legacy versions of Python
- Organized file import statements
-
-### Setup Script 1.6.0 (November 26, 2019)
-
- Added compatibility for new YAML configuration file
- Added better exception handling
-
-## Description
-
-Video2X is an automation software based on waifu2x image enlarging engine. It extracts frames from a video, enlarge it by a number of times without losing any details or quality, keeping lines smooth and edges sharp.
-
-For short: **Video2X enlarges your video without losing details**
-
-Watch for the sharper edges in this screenshot around the shadows:
-
-![preview](https://user-images.githubusercontent.com/21986859/49412428-65083280-f73a-11e8-8237-bb34158a545e.png)
-
-**You can also watch the YouTube video Demo: https://www.youtube.com/watch?v=PG94iPoeoZk**
+**You can watch the whole demo video on YouTube: https://youtu.be/mGEfasQl2Zo**

 Clip is from trailer of animated movie "千と千尋の神隠し". Copyright belongs to "株式会社スタジオジブリ (STUDIO GHIBLI INC.)". Will delete immediately if use of clip is in violation of copyright.

-## Screenshot
+## Demo Videos

-![video2x_gui](https://user-images.githubusercontent.com/21986859/63219691-ee478400-c166-11e9-8c15-dcf59228bd96.png)
+Below is a list of all the demo videos available.
+The list is sorted from new to old.

-![screenshot](https://user-images.githubusercontent.com/21986859/40265170-39c0caae-5b01-11e8-8371-8b6c24769639.png)
+- **Bad Apple!!**
+  - YouTube: https://youtu.be/-RKLdCELgkQ
+  - Bilibili: https://www.bilibili.com/video/BV1s5411s7xV/
+- **The Pet Girl of Sakurasou 240P to 1080P 60FPS**
+  - Original name: さくら荘のペットな彼女
+  - YouTube: https://youtu.be/M0vDI1HH2_Y
+  - Bilibili: https://www.bilibili.com/video/BV14k4y167KP/
+- **Spirited Away (360P to 4K)**
+  - Original name: 千と千尋の神隠し
+  - YouTube: https://youtu.be/mGEfasQl2Zo
+  - Bilibili: https://www.bilibili.com/video/BV1V5411471i/
+
+## Screenshots
+
+### Video2X GUI
+
+![GUI Preview](https://user-images.githubusercontent.com/21986859/81546668-3bf5c380-936a-11ea-9583-c969ea0d862b.png)
+
+*Video2X GUI Screenshot*
+
+### Video2X CLI
+
+![Video2X CLI Screenshot](https://user-images.githubusercontent.com/21986859/81039711-4fe88380-8e99-11ea-9846-175f72100a76.png)
+
+*Video2X CLI Screenshot*

 ---

@@ -76,168 +76,167 @@ Clip is from trailer of animated movie "千と千尋の神隠し". Copyright bel

 You can find all detailed user-facing and developer-facing documentations in the [Video2X Wiki](https://github.com/k4yt3x/video2x/wiki). It covers everything from step-by-step instructions for beginners, to the code structure of this program for advanced users and developers. If this README page doesn't answer all your questions, the wiki page is where you should head to.

+### [Run From Source](https://github.com/k4yt3x/video2x/wiki/Run-From-Source)
+
+Instructions for how to run this program from source code.
+
 ### [Step-By-Step Tutorial](https://github.com/k4yt3x/video2x/wiki/Step-By-Step-Tutorial)

-For those who want a detailed walk-through of how to use `Video2X`, you can head to the [Step-By-Step Tutorial](https://github.com/k4yt3x/video2x/wiki/Step-By-Step-Tutorial) wiki page. It includes almost every step you need to perform in order to enlarge your first video.
+For those who want a detailed walk-through of how to use Video2X, you can head to the [Step-By-Step Tutorial](https://github.com/k4yt3x/video2x/wiki/Step-By-Step-Tutorial) wiki page. It includes almost every step you need to perform in order to enlarge your first video.

-### [Waifu2X Drivers](https://github.com/k4yt3x/video2x/wiki/Waifu2X-Drivers)
+### [Drivers](https://github.com/k4yt3x/video2x/wiki/Drivers)

-Go to the [Waifu2X Drivers](https://github.com/k4yt3x/video2x/wiki/Waifu2X-Drivers) wiki page if you want to see a detailed description on the different types of `waifu2x` drivers implemented by `Video2X`. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for `Video2X`.
+Go to the [Drivers](https://github.com/k4yt3x/video2x/wiki/Drivers) wiki page if you want to see a detailed description on the different types of drivers implemented by Video2X. This wiki page contains detailed difference between different drivers, and how to download and set each of them up for Video2X.

 ### [Q&A](https://github.com/k4yt3x/video2x/wiki/Q&A)

-If you have any questions, first try visiting our [Q&A](https://github.com/k4yt3x/video2x/wiki/Q&A) page to see if your question is answered there. If not, open an issue and we will respond to your questions ASAP.
+If you have any questions, first try visiting our [Q&A](https://github.com/k4yt3x/video2x/wiki/Q&A) page to see if your question is answered there. If not, open an issue and we will respond to your questions ASAP. Alternatively, you can also join our [Telegram discussion group](https://t.me/video2x) and ask your questions there.

 ---

-## Quick Start
-
-### Prerequisites
-
- **Python 3**
-Download: https://www.python.org/downloads/windows/
- **FFmpeg Windows Build**
-Download: https://ffmpeg.org/download.html
- **waifu2x-caffe** (for Nvidia CUDA/CUDNN)
-Download: https://github.com/lltcggie/waifu2x-caffe/releases
- **waifu2x-converter-cpp** (required for AMD, OpenCL and OpenGL processing)
-Download: https://github.com/DeadSix27/waifu2x-converter-cpp/releases
- **waifu2x-ncnn-vulkan**
-Download: https://github.com/nihui/waifu2x-ncnn-vulkan/releases
- **Anime4K**
-Download: https://github.com/bloc97/Anime4K/releases
-
-### Installing Dependencies
-
-First, clone the video2x repository.
-
-```shell
-git clone https://github.com/k4yt3x/video2x.git
-cd video2x/bin
-```
-
-Then you may run the `video2x_setup.py` script to install and configure the dependencies automatically. This script is designed and tested on Windows 10.
-
-This script will install the newest version of `ffmpeg`, any one or all `waifu2x-caffe`, `waifu2x-converter-cpp`, and `waifu2x-ncnn-vulkan` to `%LOCALAPPDATA%\\video2x` and all required python libraries.
-
-```shell
-python video2x_setup.py
-```
-
-Alternatively, you can also install the dependencies manually. Please refer to the prerequisites section to see what's needed.
-
-Then you'll need to install python dependencies before start using video2x. Install simply by executing the following command.
-
-```shell
-pip install -r requirements.txt
-```
-
-**Note that all command line arguments/options overwrite configuration file settings.**
-
 ### Sample Videos

 If you can't find a video clip to begin with, or if you want to see a before-after comparison, we have prepared some sample clips for you. The quick start guide down below will also be based on the name of the sample clips.

 ![sample_video](https://user-images.githubusercontent.com/21986859/52905766-d5512b00-3236-11e9-9aea-077636539679.png)

- [Sample Video Original (240P) 1.7MB](https://files.flexio.org/Resources/Videos/sample_input.mp4)
- [Sample Video Upscaled (1080P) 4.8MB](https://files.flexio.org/Resources/Videos/sample_output.mp4)
+*Sample Upscale Videos*
+
+- [Sample Video (240P) 4.54MB](https://files.k4yt3x.com/Resources/Videos/sample_input.mp4)
+- [Sample Video Upscaled (1080P) 4.54MB](https://files.k4yt3x.com/Resources/Videos/sample_output.mp4)
+- [Sample Video Original (1080P) 22.2MB](https://files.k4yt3x.com/Resources/Videos/sample_original.mp4)

 Clip is from anime "さくら荘のペットな彼女". Copyright belongs to "株式会社アニプレックス (Aniplex Inc.)". Will delete immediately if use of clip is in violation of copyright.

-### Nvidia CUDA (waifu2x-caffe)
+---

-Enlarge the video to 1920x1080 using CUDA. You may also use the `-r/--ratio` option.
+## Quick Start
+
+### Prerequisites
+
+Before running Video2X, you'll need to ensure you have installed the drivers' external dependencies such as GPU drivers.
+
+- waifu2x-caffe
+  - GPU mode: Nvidia graphics card driver
+  - cuDNN mode: Nvidia CUDA and [cuDNN](https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#install-windows)
+- Other Drivers
+  - GPU driver if you want to use GPU for processing
+
+### Running Video2X (GUI)
+
+The easiest way to run Video2X is to use the full build. Extract the full release zip file and you'll get these files.
+
+![Video2X Release Files](https://user-images.githubusercontent.com/21986859/81489846-28633380-926a-11ea-9e81-fb92f492e14c.png)
+
+Simply double click on video2x_gui.exe to launch the GUI.
+
+![Video2X GUI Main Tab](https://user-images.githubusercontent.com/21986859/81489858-4c267980-926a-11ea-9ab2-38ec738f2fb6.png)
+
+Then, drag the videos you wish to upscale into the window and select the appropriate output path.
+
+![drag-drop](https://user-images.githubusercontent.com/21986859/81489880-7bd58180-926a-11ea-85ae-b72d2f4f5e72.png)
+
+Tweak the settings if you want to, then hit the start button at the bottom and the upscale will start. Now you'll just have to wait for it to complete.
+
+![upscale-started](https://user-images.githubusercontent.com/21986859/81489924-ce16a280-926a-11ea-831c-6c66b950f957.png)
+
+### Running Video2X (CLI)
+
+#### Basic Upscale Example
+
+This example command below uses `waifu2x-caffe` to enlarge the video `sample-input.mp4` two double its original size.

 ```shell
-python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu --width=1920 --height=1080
+python video2x.py -i sample-input.mp4 -o sample-output.mp4 -r 2 -d waifu2x_caffe
 ```

-### Nvidia CUDNN
+#### Advanced Upscale Example

-Enlarge the video to 1920x1080 using CUDNN. You may also use the `-r/--ratio` option.
+If you would like to tweak engine-specific settings, either specify the corresponding argument after `--`, or edit the corresponding field in the configuration file `video2x.yaml`. **Command line arguments will overwrite default values in the config file.**
+
+This example below adds enables TTA for `waifu2x-caffe`.

 ```shell
-python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m cudnn --width=1920 --height=1080
+python video2x.py -i sample-input.mp4 -o sample-output.mp4 -r 2 -d waifu2x_caffe -- --tta 1
 ```

-### AMD or Nvidia (waifu2x-converter-cpp OpenCL)
-
-Enlarge the video by 2 times using OpenCL. Note that `waifu2x-converter-cpp` doesn't support width and height. You'll also have to explicitly specify that the driver to be used is `waifu2x_converter`.
+To see a help page for driver-specific settings, use `-d` to select the driver and append `-- --help` as demonstrated below. This will print all driver-specific settings and descriptions.

 ```shell
-python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_converter
+python video2x.py -d waifu2x_caffe -- --help
 ```

-### AMD or Nvidia (waifu2x-ncnn-vulkan Vulkan)
+---

-```shell
-python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m gpu -r 2 -d waifu2x_ncnn_vulkan
-```
+## Recent Changes

-### Anime4K
+### 4.0.0 (May 5, 2020)

-Enlarge the video by 2 times using Anime4K. **Remember to install and configure [JRE 12](https://www.oracle.com/technetwork/java/javase/downloads/java-archive-javase12-5440181.html) path in the configuration file.**
+- Added internationalization support
+  - Added language zh_CN (简体中文)
+  - Language will change automatically according to system locale settings
+- Added support for [Anime4KCPP](https://github.com/TianZerL/Anime4KCPP) in replacement for Anime4K (Java)
+- Driver-specific settings can now be specified in the command line by specifying them after a `--`
+- All driver-specific settings are parsed by the corresponding driver
+- Modularized driver wrappers in Video2X
+- Cleaned up some clutters in the code

-```shell
-python video2x.py -i sample_input.mp4 -o sample_output.mp4 -r 2 -d anime4k
-```
+### 3.2.0 (April 26, 2020)

-### CPU
+- Added support for [SRMD-NCNN-Vulkan](https://github.com/nihui/srmd-ncnn-vulkan)

-Enlarge the video to 1920x1080 using the CPU. You may also use the `-r/--ratio` option. **waifu2x-based upscalers potentially run much slower than using a GPU, but Anime4K is more CPU-dependant**. The configuration file for this method is similar to the previous methods.
+### 3.1.0 (February 26, 2020)

-```shell
-python video2x.py -i sample_input.mp4 -o sample_output.mp4 -m cpu --width=1920 --height=1080
-```
+- Removed the redundant layer of multi-threading since multi-process has to be implemented for launching Windows PE files in sub-processes
+- Added support for graceful exit upon `KeyboardInterrupt` or termination signals
+- Other minor improvements such as replacing `' '.join(execute)` with `shlex.join(execute)`
+
+### Setup Script 1.8.0 (May 5, 2020)
+
+- Added support for Anime4KCPP

 ---

 # Full Usage

-## General Options
+## Video2X Options

 ### -h, --help
    show this help message and exit

-## File Options
-
 ### -i INPUT, --input INPUT
-    Source video file/directory (default: None)
+    source video file/directory

 ### -o OUTPUT, --output OUTPUT
-    Output video file/directory (default: None)
+    output video file/directory
+
+### -c CONFIG, --config CONFIG
+    video2x config file path
+
+### -v, --version
+    display version, lawful information and exit

 ## Upscaling Options

-### -m {cpu,gpu,cudnn}, --method {cpu,gpu,cudnn}
-    Upscaling method (default: gpu)
+### -d DRIVER, --driver DRIVER
+    upscaling driver (default: waifu2x_caffe)

-### -d {waifu2x_caffe,waifu2x_converter}, --driver {waifu2x_caffe,waifu2x_converter}
-    Waifu2x driver (default: waifu2x_caffe)
+Available options are:

-### -y MODEL_DIR, --model_dir MODEL_DIR
-    Folder containing model JSON files
-
-### -t THREADS, --threads THREADS
-    Number of threads to use for upscaling (default: 5)
-
-### -c CONFIG, --config CONFIG
-    Video2X config file location (default: video2x\bin\video2x.json)
-
-### -b, --batch
-    Enable batch mode (select all default values to questions)
-
-## Scaling Options
-
-### --width WIDTH
-    Output video width
-
-### --height HEIGHT
-    Output video height
+- waifu2x_caffe
+- waifu2x_converter_cpp
+- waifu2x_ncnn_vulkan
+- srmd_ncnn_vulkan
+- anime4kcpp

 ### -r RATIO, --ratio RATIO
-    Scaling ratio
+    scaling ratio
+
+### -p PROCESSES, --processes PROCESSES
+    number of processes to use for upscaling (default: 1)
+
+### --preserve_frames
+    preserve extracted and upscaled frames (default: False)

 ---

@@ -254,11 +253,12 @@ https://www.gnu.org/licenses/gpl-3.0.txt

 This project relies on the following software and projects.

- [FFmpeg]('https://www.ffmpeg.org/')
+- [FFmpeg](https://www.ffmpeg.org/)
 - [waifu2x-caffe](https://github.com/lltcggie/waifu2x-caffe)
 - [waifu2x-converter-cpp](https://github.com/DeadSix27/waifu2x-converter-cpp)
 - [waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan)
- [Anime4K](https://github.com/bloc97/Anime4K)
+- [srmd-ncnn-vulkan](https://github.com/nihui/srmd-ncnn-vulkan)
+- [Anime4KCPP](https://github.com/TianZerL/Anime4KCPP)

 ## Special Thanks

@@ -267,6 +267,7 @@ Appreciations given to the following code contributors:
 - @BrianPetkovsek
 - @SAT3LL

-## Related Resources
+## Related Projects

- [Dandere2x](https://github.com/CardinalPanda/dandere2x): `Dandere2x` is a lossy video upscaler also built around `waifu2x`, but with video compression techniques to shorten the time needed to process a video.
+- [Dandere2x](https://github.com/CardinalPanda/dandere2x): A lossy video upscaler also built around `waifu2x`, but with video compression techniques to shorten the time needed to process a video.
+- [Waifu2x-Extension-GUI](https://github.com/AaronFeng753/Waifu2x-Extension-GUI): A similar project that focuses more and only on building a better graphical user interface. It is built using C++ and Qt5, and currently only supports the Windows platform.
--- a/src/anime4k.py
+++ b/src/anime4k.py
@@ -1,92 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Anime4K Driver
-Author: K4YT3X
-Date Created: August 15, 2019
-Last Modified: November 15, 2019
-
-Description: This class is a high-level wrapper
-for Anime4k.
-"""
-
-# built-in imports
-import subprocess
-import threading
-
-# third-party imports
-from avalon_framework import Avalon
-
-
-class Anime4k:
-    """This class communicates with Anime4K 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, driver_settings):
-        self.driver_settings = driver_settings
-        self.print_lock = threading.Lock()
-
-    def upscale(self, input_directory, output_directory, scale_ratio, upscaler_exceptions, push_strength=None, push_grad_strength=None):
-        """ Anime4K wrapper
-
-        Arguments:
-            file_in {string} -- input file path
-            file_out {string} -- output file path
-
-        Keyword Arguments:
-            scale {int} -- scale ratio (default: {None})
-            push_strength {int} -- residual push strength (default: {None})
-            push_grad_strength {int} -- residual gradient push strength (default: {None})
-
-        Returns:
-            subprocess.Popen.returncode -- command line return value of execution
-        """
-        try:
-            # return value is the sum of all execution return codes
-            return_value = 0
-
-            # get a list lof all image files in input_directory
-            extracted_frame_files = [f for f in input_directory.iterdir() if str(f).lower().endswith('.png') or str(f).lower().endswith('.jpg')]
-
-            # upscale each image in input_directory
-            for image in extracted_frame_files:
-
-                execute = [
-                    self.driver_settings['java_path'],
-                    '-jar',
-                    self.driver_settings['path'],
-                    str(image.absolute()),
-                    str(output_directory / image.name),
-                    str(scale_ratio)
-                ]
-
-                # optional arguments
-                kwargs = [
-                    'push_strength',
-                    'push_grad_strength'
-                ]
-
-                # if optional argument specified, append value to execution list
-                for arg in kwargs:
-                    if locals()[arg] is not None:
-                        execute.extend([locals([arg])])
-
-                self.print_lock.acquire()
-                Avalon.debug_info(f'Executing: {execute}', )
-                self.print_lock.release()
-                return_value += subprocess.run(execute, check=True).returncode
-
-            # print thread exiting message
-            self.print_lock.acquire()
-            Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
-            self.print_lock.release()
-
-            # return command execution return code
-            return return_value
-        except Exception as e:
-            upscaler_exceptions.append(e)
--- a/src/build.ps1
+++ b/src/build.ps1
@@ -0,0 +1,92 @@
+<#
+Name: Video2X Build Script
+Creator: K4YT3X
+Date Created: May 6, 2020
+Last Modified: May 7, 2020
+
+Description: A PowerShell script that will build Video2X
+executable (PE) releases automatically using PyInstaller.
+This script is currently only tuned for K4YT3X's environment.
+
+To start a PowerShell session with execution policy bypass
+powershell –ExecutionPolicy Bypass
+#>
+
+if ($args.count -ne 1){
+    Write-Host -ForegroundColor White "Usage:`n .\build.ps1 VIDEO2X_VERSION"
+    Exit
+}
+
+# version number
+$SCRIPT_VERSION = "1.0.1"
+$VIDEO2X_VERSION = $args[0]
+
+Write-Host -ForegroundColor White "Video2X Building Script Version $($SCRIPT_VERSION)
+Starting to build Video2X release packages
+Building Video2X release $($VIDEO2X_VERSION)"
+
+# build Video2X CLI
+Write-Host -ForegroundColor White "`nBuilding Video2X CLI"
+pyinstaller --noconfirm --log-level=WARN `
+    --onefile `
+    --add-data="wrappers;wrappers" `
+    --icon="images\video2x.ico" `
+    video2x.py
+
+# build Video2X GUI
+Write-Host -ForegroundColor White "`nBuilding Video2X GUI"
+pyinstaller --noconfirm --log-level=WARN `
+    --onefile `
+    --add-data="images;images" `
+    --add-data="locale;locale" `
+    --add-data="video2x_gui.ui;." `
+    --add-data="wrappers;wrappers" `
+    --icon="images\video2x.ico" `
+    video2x_gui.py
+
+# build setup script
+Write-Host -ForegroundColor White "`nBuilding Video2X setup script"
+pyinstaller --noconfirm --log-level=WARN `
+    --onefile `
+    --icon="images\video2x.ico" `
+    video2x_setup.py
+
+# remove old builds if found
+if (Test-Path "$($VIDEO2X_VERSION)" -PathType any) {
+    Remove-Item -path "$($VIDEO2X_VERSION)" -recurse
+}
+
+# create build directory
+New-Item "$($VIDEO2X_VERSION)" -ItemType Directory
+
+# copy files into corresponding builds
+# full edition
+Write-Host -ForegroundColor White "`nCreating full package"
+New-Item "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-full" -ItemType Directory
+Copy-Item "dist\video2x.exe" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-full\"
+Copy-Item "dist\video2x_gui.exe" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-full\"
+Copy-Item -Path "$env:LOCALAPPDATA\video2x" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-full\dependencies" -Recurse
+
+# overwrite paths to relative paths
+(Get-Content "video2x.yaml").replace("%LOCALAPPDATA%\video2x", "dependencies") | Set-Content "video2x.yaml.relative"
+Move-Item "video2x.yaml.relative" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-full\video2x.yaml"
+
+# light edition
+Write-Host -ForegroundColor White "`nCreating light package"
+New-Item "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-light" -ItemType Directory
+Copy-Item "dist\video2x.exe" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-light\"
+Copy-Item "dist\video2x_gui.exe" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-light\"
+Copy-Item "dist\video2x_setup.exe" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-light\"
+Copy-Item "video2x.yaml" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-light\"
+Copy-Item "requirements.txt" -Destination "$($VIDEO2X_VERSION)\video2x-$($VIDEO2X_VERSION)-win32-light\"
+
+# clean up temporary files
+Write-Host -ForegroundColor White "`nDeleting temporary files"
+$pathsToRemove = "__pycache__", "build", "dist", "*.spec"
+
+foreach ($path in $pathsToRemove){
+    Write-Host "Removing path: $($path)"
+    Remove-Item -path $path -recurse
+}
+
+Write-Host -ForegroundColor White "`nBuild script finished"
--- a/src/image_cleaner.py
+++ b/src/image_cleaner.py
@@ -3,10 +3,15 @@
 """
 Name: Video2X Image Cleaner
 Author: BrianPetkovsek
-Author: K4YT3X
 Date Created: March 24, 2019
 Last Modified: July 27, 2019

+Editor: K4YT3X
+Last Modified: March 23, 2020
+
+Editor: 28598519a
+Last Modified: March 23, 2020
+
 Description: This class is to remove the extracted frames
 that have already been upscaled.
 """
@@ -58,7 +63,7 @@ class ImageCleaner(threading.Thread):
        """

        # list all images in the extracted frames
-        output_frames = [f for f in self.output_directory.iterdir() if f.is_file()]
+        output_frames = [f.name for f in self.output_directory.iterdir() if f.is_file()]

        # compare and remove frames downscaled images that finished being upscaled
        # within each thread's  extracted frames directory
@@ -67,10 +72,8 @@ class ImageCleaner(threading.Thread):

            # for each file within all the directories
            for file in dir_path.iterdir():
-                file_path = dir_path / file
-
                # if file also exists in the output directory, then the file
                # has already been processed, thus not needed anymore
-                if file_path.is_file() and file in output_frames:
-                    file_path.unlink(file)
-                    output_frames.remove(file)
+                if file.is_file() and file.name in output_frames:
+                    file.unlink()
+                    output_frames.remove(file.name)
--- a/src/images/Video2X
+++ b/src/images/Video2X
--- a/src/images/Video2X
+++ b/src/images/Video2X
--- a/src/images/Video2X
+++ b/src/images/Video2X
--- a/src/images/Video2X
+++ b/src/images/Video2X
--- a/src/images/Video2X
+++ b/src/images/Video2X
--- a/src/images/Video2X
+++ b/src/images/Video2X
--- a/src/images/video2x.ico
+++ b/src/images/video2x.ico
--- a/src/images/video2x.png
+++ b/src/images/video2x.png
--- a/src/locale/zh_CN/LC_MESSAGES/video2x.mo
+++ b/src/locale/zh_CN/LC_MESSAGES/video2x.mo
--- a/src/locale/zh_CN/LC_MESSAGES/zh_CN.mo
+++ b/src/locale/zh_CN/LC_MESSAGES/zh_CN.mo
--- a/src/locale/zh_CN/LC_MESSAGES/zh_CN.po
+++ b/src/locale/zh_CN/LC_MESSAGES/zh_CN.po
@@ -0,0 +1,298 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) YEAR ORGANIZATION
+# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
+#
+msgid ""
+msgstr ""
+"Project-Id-Version: \n"
+"POT-Creation-Date: 2020-05-11 04:39-0400\n"
+"PO-Revision-Date: 2020-05-11 04:40-0400\n"
+"Last-Translator: \n"
+"Language-Team: \n"
+"Language: zh_CN\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=UTF-8\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: pygettext.py 1.5\n"
+"X-Generator: Poedit 2.3.1\n"
+"Plural-Forms: nplurals=1; plural=0;\n"
+
+#: progress_monitor.py:42
+msgid "Upscaling Progress"
+msgstr "放大进度"
+
+#: upscaler.py:104
+msgid "Specified or default cache directory is a file/link"
+msgstr "指定或默认的缓存目录是文件/链接"
+
+#: upscaler.py:110
+msgid "Creating cache directory {}"
+msgstr "创建缓存目录 {}"
+
+#: upscaler.py:113
+msgid "Unable to create {}"
+msgstr "无法创建 {}"
+
+#: upscaler.py:118
+msgid "Extracted frames are being saved to: {}"
+msgstr "提取的帧将被保存到：{}"
+
+#: upscaler.py:120
+msgid "Upscaled frames are being saved to: {}"
+msgstr "已放大的帧将被保存到：{}"
+
+#: upscaler.py:130
+msgid "Cleaning up cache directory: {}"
+msgstr "清理缓存目录：{}"
+
+#: upscaler.py:133
+msgid "Unable to delete: {}"
+msgstr "无法删除：{}"
+
+#: upscaler.py:139 upscaler.py:154 upscaler.py:165
+msgid "Input and output path type mismatch"
+msgstr "输入和输出路径类型不匹配"
+
+#: upscaler.py:140
+msgid "Input is multiple files but output is not directory"
+msgstr "输入是多个文件，但输出不是目录"
+
+#: upscaler.py:144
+msgid "Input path {} is neither a file nor a directory"
+msgstr "输入路径 {} 既不是文件也不是目录"
+
+#: upscaler.py:148 upscaler.py:170
+msgid "Input directory and output directory cannot be the same"
+msgstr "输入目录和输出目录不能相同"
+
+#: upscaler.py:155
+msgid "Input is single file but output is directory"
+msgstr "所选的输入路径是单个文件，但输出路径是目录"
+
+#: upscaler.py:158
+msgid "No suffix found in output file path"
+msgstr "在输出文件路径中未找到后缀"
+
+#: upscaler.py:159
+msgid "Suffix must be specified for FFmpeg"
+msgstr "必须为 FFmpeg 指定后缀"
+
+#: upscaler.py:166
+msgid "Input is directory but output is existing single file"
+msgstr "输入是目录，但输出是现有的单个文件"
+
+#: upscaler.py:175
+msgid "Input path is neither a file nor a directory"
+msgstr "输入路径既不是文件也不是目录"
+
+#: upscaler.py:184
+msgid "FFmpeg or FFprobe cannot be found under the specified path"
+msgstr "在指定的路径下找不到 FFmpeg 或 FFprobe"
+
+#: upscaler.py:185 upscaler.py:195
+msgid "Please check the configuration file settings"
+msgstr "请检查配置文件设置"
+
+#: upscaler.py:194
+msgid "Specified driver executable directory doesn't exist"
+msgstr "指定驱动的可执行文件不存在"
+
+#: upscaler.py:221
+msgid "Failed to parse driver argument: {}"
+msgstr "解析驱动程序参数失败：{}"
+
+#: upscaler.py:253
+msgid "Unrecognized driver: {}"
+msgstr "无法识别的驱动名称：{}"
+
+#: upscaler.py:293
+msgid "Starting progress monitor"
+msgstr "启动进度监视器"
+
+#: upscaler.py:298
+msgid "Starting upscaled image cleaner"
+msgstr "启动已放大图像清理程序"
+
+#: upscaler.py:307 upscaler.py:324
+msgid "Killing progress monitor"
+msgstr "终结进度监视器"
+
+#: upscaler.py:310 upscaler.py:327
+msgid "Killing upscaled image cleaner"
+msgstr "终结已放大图像清理程序"
+
+#: upscaler.py:331
+msgid "Terminating all processes"
+msgstr "正在终止所有进程"
+
+#: upscaler.py:338
+msgid "Main process waiting for subprocesses to exit"
+msgstr "主进程开始等待子进程结束"
+
+#: upscaler.py:357 upscaler.py:361
+msgid "Subprocess {} exited with code {}"
+msgstr "子进程 {} 结束，返回码 {}"
+
+#: upscaler.py:367
+msgid "Stop signal received"
+msgstr "收到停止信号"
+
+#: upscaler.py:372
+msgid "Subprocess execution ran into an error"
+msgstr "子进程执行遇到错误"
+
+#: upscaler.py:421
+msgid "Upscaling single video file: {}"
+msgstr "放大单个视频文件：{}"
+
+#: upscaler.py:443 upscaler.py:502
+msgid "Starting to upscale extracted images"
+msgstr "开始对提取的帧进行放大"
+
+#: upscaler.py:448 upscaler.py:504
+msgid "Upscaling completed"
+msgstr "放大完成"
+
+#: upscaler.py:457
+msgid "Reading video information"
+msgstr "读取视频信息"
+
+#: upscaler.py:471
+msgid "Aborting: No video stream found"
+msgstr "程序中止：文件中未找到视频流"
+
+#: upscaler.py:490
+msgid "Unsupported pixel format: {}"
+msgstr "不支持的像素格式：{}"
+
+#: upscaler.py:493
+msgid "Framerate: {}"
+msgstr "帧率：{}"
+
+#: upscaler.py:507
+msgid "Converting extracted frames into video"
+msgstr "正在将提取的帧转换为视频"
+
+#: upscaler.py:514
+msgid "Conversion completed"
+msgstr "转换已完成"
+
+#: upscaler.py:518
+msgid "Migrating audio, subtitles and other streams to upscaled video"
+msgstr "正在将音频、字幕和其他流迁移到放大后的视频"
+
+#: upscaler.py:527
+msgid "Failed to migrate streams"
+msgstr "迁移流失败"
+
+#: upscaler.py:528
+msgid "Trying to output video without additional streams"
+msgstr "正在尝试输出不含其他流的视频"
+
+#: upscaler.py:535
+msgid "Output video file exists, aborting"
+msgstr "输出目标文件已存在，取消输出"
+
+#: upscaler.py:539
+msgid "Writing intermediate file to: {}"
+msgstr "正在将中间视频文件写入至：{}"
+
+#: video2x.py:84
+msgid ""
+"Video2X Version: {}\n"
+"Author: K4YT3X\n"
+"License: GNU GPL v3\n"
+"Github Page: https://github.com/k4yt3x/video2x\n"
+"Contact: k4yt3x@k4yt3x.com"
+msgstr ""
+"Video2X 版本： {}\n"
+"作者： K4YT3X\n"
+"开源许可： GNU GPL v3\n"
+"GitHub 主页：https://github.com/k4yt3x/video2x\n"
+"联系方式：k4yt3x@k4yt3x.com"
+
+#: video2x.py:106
+msgid "Video2X Options"
+msgstr "Video2X 选项"
+
+#: video2x.py:107
+msgid "show this help message and exit"
+msgstr "显示此帮助消息并退出"
+
+#: video2x.py:108
+msgid "source video file/directory"
+msgstr "源视频文件/目录"
+
+#: video2x.py:109
+msgid "output video file/directory"
+msgstr "输出视频文件/目录"
+
+#: video2x.py:110
+msgid "video2x config file path"
+msgstr "video2x 配置文件路径"
+
+#: video2x.py:112
+msgid "display version, lawful information and exit"
+msgstr "显示版本和法律信息并退出"
+
+#: video2x.py:115
+msgid "Upscaling Options"
+msgstr "视频放大选项"
+
+#: video2x.py:116
+msgid "upscaling driver"
+msgstr "视频放大驱动"
+
+#: video2x.py:117
+msgid "scaling ratio"
+msgstr "缩放比"
+
+#: video2x.py:118
+msgid "number of processes to use for upscaling"
+msgstr "并发进程数"
+
+#: video2x.py:119
+msgid "preserve extracted and upscaled frames"
+msgstr "保留提取的和放大的帧"
+
+#: video2x.py:159
+msgid "This file cannot be imported"
+msgstr "此文件无法被当作模块导入"
+
+#: video2x.py:229
+msgid "Program completed, taking {} seconds"
+msgstr "程序执行完毕，总计花费 {} 秒"
+
+#: video2x.py:232
+msgid "An exception has occurred"
+msgstr "发生了异常"
+
+#~ msgid "output video width"
+#~ msgstr "输出视频宽度"
+
+#~ msgid "output video height"
+#~ msgstr "输出视频高度"
+
+#~ msgid "You must specify input video file/directory path"
+#~ msgstr "您必须指定输入视频文件/目录路径"
+
+#~ msgid "You must specify output video file/directory path"
+#~ msgstr "您必须指定输出视频文件/目录路径"
+
+#~ msgid "Selected driver accepts only scaling ratio"
+#~ msgstr "所选驱动程序仅接受缩放比率"
+
+#~ msgid "Scaling ratio must be 1 or 2 for waifu2x_ncnn_vulkan"
+#~ msgstr "waifu2x_ncnn_vulkan 的缩放比必须为 1 或 2"
+
+#~ msgid "Scaling ratio must be one of 2, 3 or 4 for srmd_ncnn_vulkan"
+#~ msgstr "srmd_ncnn_vulkan 的缩放比必须为 2、3 或 4"
+
+#~ msgid "You can only specify either scaling ratio or output width and height"
+#~ msgstr "您只能指定缩放比或输出宽度和高度两者之一"
+
+#~ msgid "You must specify both width and height"
+#~ msgstr "您必须同时指定宽度和高度"
+
+#~ msgid "Upscaling videos in directory: {}"
+#~ msgstr "放大该文件夹中的所有视频：{}"
--- a/src/progress_monitor.py
+++ b/src/progress_monitor.py
@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: Video2X Upscale Progress Monitor
+Author: BrianPetkovsek
+Date Created: May 7, 2020
+Last Modified: May 10, 2020
+"""
+
+# built-in imports
+import contextlib
+import threading
+import time
+
+# third-party imports
+from tqdm import tqdm
+
+
+class ProgressMonitor(threading.Thread):
+    """ progress monitor
+
+    This class provides progress monitoring functionalities
+    by keeping track of the amount of frames in the input
+    directory and the output directory. This is originally
+    suggested by @ArmandBernard.
+    """
+
+    def __init__(self, upscaler, extracted_frames_directories):
+        threading.Thread.__init__(self)
+        self.upscaler = upscaler
+        self.extracted_frames_directories = extracted_frames_directories
+        self.running = False
+
+    def run(self):
+        self.running = True
+
+        # get number of extracted frames
+        self.upscaler.total_frames = 0
+        for directory in self.extracted_frames_directories:
+            self.upscaler.total_frames += len([f for f in directory.iterdir() if str(f).lower().endswith(self.upscaler.image_format.lower())])
+
+        with tqdm(total=self.upscaler.total_frames, ascii=True, desc=_('Upscaling Progress')) as progress_bar:
+            # tqdm update method adds the value to the progress
+            # bar instead of setting the value. Therefore, a delta
+            # needs to be calculated.
+            previous_cycle_frames = 0
+            while self.running:
+
+                with contextlib.suppress(FileNotFoundError):
+                    upscaled_frames = [f for f in self.upscaler.upscaled_frames.iterdir() if str(f).lower().endswith(self.upscaler.image_format.lower())]
+                    if len(upscaled_frames) >= 1:
+                        self.upscaler.last_frame_upscaled = sorted(upscaled_frames)[-1]
+                    self.upscaler.total_frames_upscaled = len(upscaled_frames)
+
+                    # update progress bar
+                    delta = self.upscaler.total_frames_upscaled - previous_cycle_frames
+                    previous_cycle_frames = self.upscaler.total_frames_upscaled
+                    progress_bar.update(delta)
+
+                time.sleep(1)
+
+    def stop(self):
+        self.running = False
+        self.join()
--- a/src/requirements.txt
+++ b/src/requirements.txt
@@ -1,7 +1,9 @@
 avalon_framework
 colorama
-GPUtil
+patool
 psutil
+pyqt5
+pyunpack
 pyyaml
 requests
-tqdm
+tqdm
--- a/src/upscaler.py
+++ b/src/upscaler.py
@@ -4,42 +4,58 @@
 Name: Video2X Upscaler
 Author: K4YT3X
 Date Created: December 10, 2018
-Last Modified: December 11, 2019
+Last Modified: May 10, 2020

-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
-
-(C) 2018-2019 K4YT3X
+Description: This file contains the Upscaler class. Each
+instance of the Upscaler class is an upscaler on an image or
+a folder.
 """

 # local imports
-from anime4k import Anime4k
 from exceptions import *
-from ffmpeg import Ffmpeg
 from image_cleaner import ImageCleaner
-from waifu2x_caffe import Waifu2xCaffe
-from waifu2x_converter import Waifu2xConverter
-from waifu2x_ncnn_vulkan import Waifu2xNcnnVulkan
+from progress_monitor import ProgressMonitor
+from wrappers.ffmpeg import Ffmpeg

 # built-in imports
 from fractions import Fraction
 import contextlib
 import copy
+import gettext
+import importlib
+import locale
+import os
 import pathlib
+import queue
 import re
 import shutil
+import subprocess
 import tempfile
-import threading
 import time
 import traceback

 # third-party imports
 from avalon_framework import Avalon
-from tqdm import tqdm

-AVAILABLE_DRIVERS = ['waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan', 'anime4k']
+# internationalization constants
+DOMAIN = 'video2x'
+LOCALE_DIRECTORY = pathlib.Path(__file__).parent.absolute() / 'locale'
+
+# getting default locale settings
+default_locale, encoding = locale.getdefaultlocale()
+language = gettext.translation(DOMAIN, LOCALE_DIRECTORY, [default_locale], fallback=True)
+language.install()
+_ = language.gettext
+
+# these names are consistent for
+# - driver selection in command line
+# - driver wrapper file names
+# - config file keys
+AVAILABLE_DRIVERS = ['waifu2x_caffe',
+                     'waifu2x_converter_cpp',
+                     'waifu2x_ncnn_vulkan',
+                     'srmd_ncnn_vulkan',
+                     'anime4kcpp']


 class Upscaler:
@@ -51,32 +67,57 @@ class Upscaler:
        ArgumentError -- if argument is not valid
    """

-    def __init__(self, input_video, output_video, method, driver_settings, ffmpeg_settings):
+    def __init__(self, input_path, output_path, driver_settings, ffmpeg_settings):
        # mandatory arguments
-        self.input_video = input_video
-        self.output_video = output_video
-        self.method = method
+        self.input = input_path
+        self.output = output_path
        self.driver_settings = driver_settings
        self.ffmpeg_settings = ffmpeg_settings

        # optional arguments
-        self.waifu2x_driver = 'waifu2x_caffe'
-        self.scale_width = None
-        self.scale_height = None
+        self.driver = 'waifu2x_caffe'
        self.scale_ratio = None
-        self.model_dir = None
-        self.threads = 5
+        self.processes = 1
        self.video2x_cache_directory = pathlib.Path(tempfile.gettempdir()) / 'video2x'
        self.image_format = 'png'
        self.preserve_frames = False

+        # other internal members and signals
+        self.running = False
+        self.total_frames_upscaled = 0
+        self.total_frames = 0
+        self.total_videos = 0
+        self.total_processed = 0
+        self.current_input_video = pathlib.Path()
+        self.last_frame_upscaled = pathlib.Path()
+
    def create_temp_directories(self):
-        """create temporary directory
+        """create temporary directories
        """
+
+        # if cache directory unspecified, use %TEMP%\video2x
+        if self.video2x_cache_directory is None:
+            self.video2x_cache_directory = pathlib.Path(tempfile.gettempdir()) / 'video2x'
+
+        # if specified cache path exists and isn't a directory
+        if self.video2x_cache_directory.exists() and not self.video2x_cache_directory.is_dir():
+            Avalon.error(_('Specified or default cache directory is a file/link'))
+            raise FileExistsError('Specified or default cache directory is a file/link')
+
+        # if cache directory doesn't exist, try creating it
+        if not self.video2x_cache_directory.exists():
+            try:
+                Avalon.debug_info(_('Creating cache directory {}').format(self.video2x_cache_directory))
+                self.video2x_cache_directory.mkdir(parents=True, exist_ok=True)
+            except Exception as exception:
+                Avalon.error(_('Unable to create {}').format(self.video2x_cache_directory))
+                raise exception
+
+        # create temp directories for extracted frames and upscaled frames
        self.extracted_frames = pathlib.Path(tempfile.mkdtemp(dir=self.video2x_cache_directory))
-        Avalon.debug_info(f'Extracted frames are being saved to: {self.extracted_frames}')
+        Avalon.debug_info(_('Extracted frames are being saved to: {}').format(self.extracted_frames))
        self.upscaled_frames = pathlib.Path(tempfile.mkdtemp(dir=self.video2x_cache_directory))
-        Avalon.debug_info(f'Upscaled frames are being saved to: {self.upscaled_frames}')
+        Avalon.debug_info(_('Upscaled frames are being saved to: {}').format(self.upscaled_frames))

    def cleanup_temp_directories(self):
        """delete temp directories when done
@@ -86,59 +127,116 @@ class Upscaler:
                try:
                    # avalon framework cannot be used if python is shutting down
                    # therefore, plain print is used
-                    print(f'Cleaning up cache directory: {directory}')
+                    print(_('Cleaning up cache directory: {}').format(directory))
                    shutil.rmtree(directory)
                except (OSError, FileNotFoundError):
-                    print(f'Unable to delete: {directory}')
+                    print(_('Unable to delete: {}').format(directory))
                    traceback.print_exc()

    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.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')
-        elif not self.method:
-            raise ArgumentError('You need to specify the enlarging processing unit')
-
-    def _progress_bar(self, extracted_frames_directories):
-        """ This method prints a progress bar
-
-        This method prints a progress bar by keeping track
-        of the amount of frames in the input directory
-        and the output directory. This is originally
-        suggested by @ArmandBernard.
-        """
-
-        # get number of extracted frames
-        self.total_frames = 0
-        for directory in extracted_frames_directories:
-            self.total_frames += len([f for f in directory.iterdir() if str(f)[-4:] == f'.{self.image_format}'])
-
-        with tqdm(total=self.total_frames, ascii=True, desc='Upscaling Progress') as progress_bar:
-
-            # tqdm update method adds the value to the progress
-            # bar instead of setting the value. Therefore, a delta
-            # needs to be calculated.
-            previous_cycle_frames = 0
-            while not self.progress_bar_exit_signal:
-
+        if isinstance(self.input, list):
+            if self.output.exists() and not self.output.is_dir():
+                Avalon.error(_('Input and output path type mismatch'))
+                Avalon.error(_('Input is multiple files but output is not directory'))
+                raise ArgumentError('input output path type mismatch')
+            for input_path in self.input:
+                if not input_path.is_file() and not input_path.is_dir():
+                    Avalon.error(_('Input path {} is neither a file nor a directory').format(input_path))
+                    raise FileNotFoundError(f'{input_path} is neither file nor directory')
                with contextlib.suppress(FileNotFoundError):
-                    self.total_frames_upscaled = len([f for f in self.upscaled_frames.iterdir() if str(f)[-4:] == f'.{self.image_format}'])
-                    delta = self.total_frames_upscaled - previous_cycle_frames
-                    previous_cycle_frames = self.total_frames_upscaled
+                    if input_path.samefile(self.output):
+                        Avalon.error(_('Input directory and output directory cannot be the same'))
+                        raise FileExistsError('input directory and output directory are the same')

-                    # if upscaling is finished
-                    if self.total_frames_upscaled >= self.total_frames:
-                        return
+        # if input is a file
+        elif self.input.is_file():
+            if self.output.is_dir():
+                Avalon.error(_('Input and output path type mismatch'))
+                Avalon.error(_('Input is single file but output is directory'))
+                raise ArgumentError('input output path type mismatch')
+            if not re.search(r'.*\..*$', str(self.output)):
+                Avalon.error(_('No suffix found in output file path'))
+                Avalon.error(_('Suffix must be specified for FFmpeg'))
+                raise ArgumentError('no output video suffix specified')

-                    # adds the delta into the progress bar
-                    progress_bar.update(delta)
+        # if input is a directory
+        elif self.input.is_dir():
+            if self.output.is_file():
+                Avalon.error(_('Input and output path type mismatch'))
+                Avalon.error(_('Input is directory but output is existing single file'))
+                raise ArgumentError('input output path type mismatch')
+            with contextlib.suppress(FileNotFoundError):
+                if self.input.samefile(self.output):
+                    Avalon.error(_('Input directory and output directory cannot be the same'))
+                    raise FileExistsError('input directory and output directory are the same')

-                time.sleep(1)
+        # if input is neither
+        else:
+            Avalon.error(_('Input path is neither a file nor a directory'))
+            raise FileNotFoundError(f'{self.input} is neither file nor directory')
+
+        # check FFmpeg settings
+        ffmpeg_path = pathlib.Path(self.ffmpeg_settings['ffmpeg_path'])
+        if not ((pathlib.Path(ffmpeg_path / 'ffmpeg.exe').is_file() and
+                pathlib.Path(ffmpeg_path / 'ffprobe.exe').is_file()) or
+                (pathlib.Path(ffmpeg_path / 'ffmpeg').is_file() and
+                pathlib.Path(ffmpeg_path / 'ffprobe').is_file())):
+            Avalon.error(_('FFmpeg or FFprobe cannot be found under the specified path'))
+            Avalon.error(_('Please check the configuration file settings'))
+            raise FileNotFoundError(self.ffmpeg_settings['ffmpeg_path'])
+
+        # check if driver settings
+        driver_settings = copy.deepcopy(self.driver_settings)
+        driver_path = driver_settings.pop('path')
+
+        # check if driver path exists
+        if not (pathlib.Path(driver_path).is_file() or pathlib.Path(f'{driver_path}.exe').is_file()):
+            Avalon.error(_('Specified driver executable directory doesn\'t exist'))
+            Avalon.error(_('Please check the configuration file settings'))
+            raise FileNotFoundError(driver_path)
+
+        # parse driver arguments using driver's parser
+        # the parser will throw AttributeError if argument doesn't satisfy constraints
+        try:
+            driver_arguments = []
+            for key in driver_settings.keys():
+
+                value = driver_settings[key]
+
+                if value is None or value is False:
+                    continue
+
+                else:
+                    if len(key) == 1:
+                        driver_arguments.append(f'-{key}')
+                    else:
+                        driver_arguments.append(f'--{key}')
+                    # true means key is an option
+                    if value is not True:
+                        driver_arguments.append(str(value))
+
+            DriverWrapperMain = getattr(importlib.import_module(f'wrappers.{self.driver}'), 'WrapperMain')
+            DriverWrapperMain.parse_arguments(driver_arguments)
+        except AttributeError as e:
+            Avalon.error(_('Failed to parse driver argument: {}').format(e.args[0]))
+            raise e
+
+        # waifu2x-caffe scale_ratio, scale_width and scale_height check
+        if self.driver == 'waifu2x_caffe':
+            if (driver_settings['scale_width'] != 0 and driver_settings['scale_height'] == 0 or
+                    driver_settings['scale_width'] == 0 and driver_settings['scale_height'] != 0):
+                Avalon.error('Only one of scale_width and scale_height is specified for waifu2x-caffe')
+                raise AttributeError('only one of scale_width and scale_height is specified for waifu2x-caffe')
+
+            # if scale_width and scale_height are specified, ensure scale_ratio is None
+            elif self.driver_settings['scale_width'] != 0 and self.driver_settings['scale_height'] != 0:
+                self.driver_settings['scale_ratio'] = None
+
+            # if scale_width and scale_height not specified
+            # ensure they are None, not 0
+            else:
+                self.driver_settings['scale_width'] = None
+                self.driver_settings['scale_height'] = None

    def _upscale_frames(self):
        """ Upscale video frames with waifu2x-caffe
@@ -150,220 +248,308 @@ class Upscaler:
            w2 {Waifu2x Object} -- initialized waifu2x object
        """

-        # progress bar thread exit signal
-        self.progress_bar_exit_signal = False
-
-        # create a container for exceptions in threads
-        # if this thread is not empty, then an exception has occured
-        self.upscaler_exceptions = []
-
        # initialize waifu2x driver
-        drivers = AVAILABLE_DRIVERS
-        if self.waifu2x_driver not in drivers:
-            raise UnrecognizedDriverError(f'Unrecognized waifu2x driver: {self.waifu2x_driver}')
+        if self.driver not in AVAILABLE_DRIVERS:
+            raise UnrecognizedDriverError(_('Unrecognized driver: {}').format(self.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.driver_settings, self.model_dir)
+        # list all images in the extracted frames
+        frames = [(self.extracted_frames / f) for f in self.extracted_frames.iterdir() if f.is_file]

-            progress_bar = threading.Thread(target=self._progress_bar, args=([self.extracted_frames],))
-            progress_bar.start()
+        # if we have less images than processes,
+        # create only the processes necessary
+        if len(frames) < self.processes:
+            self.processes = len(frames)

-            w2.upscale(self.extracted_frames, self.upscaled_frames, self.scale_ratio, self.threads, self.image_format, self.upscaler_exceptions)
-            for image in [f for f in self.upscaled_frames.iterdir() if f.is_file()]:
-                renamed = re.sub(f'_\[.*-.*\]\[x(\d+(\.\d+)?)\]\.{self.image_format}', f'.{self.image_format}', str(image))
-                (self.upscaled_frames / image).rename(self.upscaled_frames / renamed)
+        # create a directory for each process and append directory
+        # name into a list
+        process_directories = []
+        for process_id in range(self.processes):
+            process_directory = self.extracted_frames / str(process_id)
+            process_directories.append(process_directory)

-            self.progress_bar_exit_signal = True
-            progress_bar.join()
-            return
+            # delete old directories and create new directories
+            if process_directory.is_dir():
+                shutil.rmtree(process_directory)
+            process_directory.mkdir(parents=True, exist_ok=True)
+
+        # waifu2x-converter-cpp will perform multi-threading within its own process
+        if self.driver in ['waifu2x_converter_cpp', 'waifu2x_ncnn_vulkan', 'srmd_ncnn_vulkan']:
+            process_directories = [self.extracted_frames]

-        # drivers that are to be multi-threaded by video2x
        else:
-            # create a container for all upscaler threads
-            upscaler_threads = []
-
-            # list all images in the extracted frames
-            frames = [(self.extracted_frames / f) for f in self.extracted_frames.iterdir() if f.is_file]
-
-            # 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 = self.extracted_frames / str(thread_id)
-                thread_directories.append(thread_directory)
-
-                # delete old directories and create new directories
-                if thread_directory.is_dir():
-                    shutil.rmtree(thread_directory)
-                thread_directory.mkdir(parents=True, exist_ok=True)
-
-                # 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
-                image.rename(thread_pool[0][0] / image.name)
+                image.rename(process_directories[0] / image.name)
                # rotate list
-                thread_pool = thread_pool[-1:] + thread_pool[:-1]
+                process_directories = process_directories[-1:] + process_directories[:-1]

-            # create threads and start them
-            for thread_info in thread_pool:
+        # create driver processes and start them
+        for process_directory in process_directories:
+            self.process_pool.append(self.driver_object.upscale(process_directory, self.upscaled_frames))
+
+        # start progress bar in a different thread
+        Avalon.debug_info(_('Starting progress monitor'))
+        self.progress_monitor = ProgressMonitor(self, process_directories)
+        self.progress_monitor.start()
+
+        # create the clearer and start it
+        Avalon.debug_info(_('Starting upscaled image cleaner'))
+        self.image_cleaner = ImageCleaner(self.extracted_frames, self.upscaled_frames, len(self.process_pool))
+        self.image_cleaner.start()
+
+        # wait for all process to exit
+        try:
+            self._wait()
+        except (Exception, KeyboardInterrupt, SystemExit) as e:
+            # cleanup
+            Avalon.debug_info(_('Killing progress monitor'))
+            self.progress_monitor.stop()
+
+            Avalon.debug_info(_('Killing upscaled image cleaner'))
+            self.image_cleaner.stop()
+            raise e
+
+        # if the driver is waifu2x-converter-cpp
+        # images need to be renamed to be recognizable for FFmpeg
+        if self.driver == 'waifu2x_converter_cpp':
+            for image in [f for f in self.upscaled_frames.iterdir() if f.is_file()]:
+                renamed = re.sub(f'_\\[.*\\]\\[x(\\d+(\\.\\d+)?)\\]\\.{self.image_format}',
+                                 f'.{self.image_format}',
+                                 str(image.name))
+                (self.upscaled_frames / image).rename(self.upscaled_frames / renamed)
+
+        # upscaling done, kill helper threads
+        Avalon.debug_info(_('Killing progress monitor'))
+        self.progress_monitor.stop()
+
+        Avalon.debug_info(_('Killing upscaled image cleaner'))
+        self.image_cleaner.stop()
+
+    def _terminate_subprocesses(self):
+        Avalon.warning(_('Terminating all processes'))
+        for process in self.process_pool:
+            process.terminate()
+
+    def _wait(self):
+        """ wait for subprocesses in process pool to complete
+        """
+        Avalon.debug_info(_('Main process waiting for subprocesses to exit'))
+
+        try:
+            # while process pool not empty
+            while self.process_pool:
+
+                # if stop signal received, terminate all processes
+                if self.running is False:
+                    raise SystemExit
+
+                for process in self.process_pool:
+                    process_status = process.poll()
+
+                    # if process finished
+                    if process_status is None:
+                        continue
+
+                    # if return code is not 0
+                    elif process_status != 0:
+                        Avalon.error(_('Subprocess {} exited with code {}').format(process.pid, process_status))
+                        raise subprocess.CalledProcessError(process_status, process.args)

-                # create a separate w2 instance for each thread
-                if self.waifu2x_driver == 'waifu2x_caffe':
-                    w2 = Waifu2xCaffe(copy.deepcopy(self.driver_settings), self.method, self.model_dir, self.bit_depth)
-                    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))
+                        Avalon.debug_info(_('Subprocess {} exited with code {}').format(process.pid, process_status))
+                        self.process_pool.remove(process)

-                # if the driver being used is waifu2x_ncnn_vulkan
-                elif self.waifu2x_driver == 'waifu2x_ncnn_vulkan':
-                    w2 = Waifu2xNcnnVulkan(copy.deepcopy(self.driver_settings))
-                    thread = threading.Thread(target=w2.upscale,
-                                              args=(thread_info[0],
-                                                    self.upscaled_frames,
-                                                    self.scale_ratio,
-                                                    self.upscaler_exceptions))
+                time.sleep(0.1)

-                # if the driver being used is anime4k
-                elif self.waifu2x_driver == 'anime4k':
-                    w2 = Anime4k(copy.deepcopy(self.driver_settings))
-                    thread = threading.Thread(target=w2.upscale,
-                                              args=(thread_info[0],
-                                                    self.upscaled_frames,
-                                                    self.scale_ratio,
-                                                    self.upscaler_exceptions))
+        except (KeyboardInterrupt, SystemExit) as e:
+            Avalon.warning(_('Stop signal received'))
+            self._terminate_subprocesses()
+            raise e

-                # create thread
-                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])
+        except (Exception, subprocess.CalledProcessError) as e:
+            Avalon.error(_('Subprocess execution ran into an error'))
+            self._terminate_subprocesses()
+            raise e

    def run(self):
-        """Main controller for Video2X
+        """ Main controller for Video2X

        This function controls the flow of video conversion
        and handles all necessary functions.
        """

+        # external stop signal when called in a thread
+        self.running = True
+
+        # define process pool to contain processes
+        self.process_pool = []
+
+        # load driver modules
+        DriverWrapperMain = getattr(importlib.import_module(f'wrappers.{self.driver}'), 'WrapperMain')
+        self.driver_object = DriverWrapperMain(self.driver_settings)
+
+        # load options from upscaler class into driver settings
+        self.driver_object.load_configurations(self)
+
        # parse arguments for waifu2x
        # check argument sanity
        self._check_arguments()

-        # convert paths to absolute paths
-        self.input_video = self.input_video.absolute()
-        self.output_video = self.output_video.absolute()
+        # define processing queue
+        self.processing_queue = queue.Queue()

-        # initialize objects for ffmpeg and waifu2x-caffe
-        fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
+        # if input is a list of files
+        if isinstance(self.input, list):
+            # make output directory if it doesn't exist
+            self.output.mkdir(parents=True, exist_ok=True)

-        # extract frames from video
-        fm.extract_frames(self.input_video, self.extracted_frames)
+            for input_path in self.input:

-        Avalon.info('Reading video information')
-        video_info = fm.get_video_info(self.input_video)
-        # analyze original video with ffprobe and retrieve framerate
-        # width, height = info['streams'][0]['width'], info['streams'][0]['height']
+                if input_path.is_file():
+                    output_video = self.output / input_path.name
+                    self.processing_queue.put((input_path.absolute(), output_video.absolute()))

-        # find index of video stream
-        video_stream_index = None
-        for stream in video_info['streams']:
-            if stream['codec_type'] == 'video':
-                video_stream_index = stream['index']
-                break
+                elif input_path.is_dir():
+                    for input_video in [f for f in input_path.iterdir() if f.is_file()]:
+                        output_video = self.output / input_video.name
+                        self.processing_queue.put((input_video.absolute(), output_video.absolute()))

-        # exit if no video stream found
-        if video_stream_index is None:
-            Avalon.error('Aborting: No video stream found')
-            raise StreamNotFoundError('no video stream found')
+        # if input specified is single file
+        elif self.input.is_file():
+            Avalon.info(_('Upscaling single video file: {}').format(self.input))
+            self.processing_queue.put((self.input.absolute(), self.output.absolute()))

-        # get average frame rate of video stream
-        framerate = float(Fraction(video_info['streams'][video_stream_index]['avg_frame_rate']))
-        fm.pixel_format = video_info['streams'][video_stream_index]['pix_fmt']
+        # if input specified is a directory
+        elif self.input.is_dir():

-        # get a dict of all pixel formats and corresponding bit depth
-        pixel_formats = fm.get_pixel_formats()
+            # make output directory if it doesn't exist
+            self.output.mkdir(parents=True, exist_ok=True)
+            for input_video in [f for f in self.input.iterdir() if f.is_file()]:
+                output_video = self.output / input_video.name
+                self.processing_queue.put((input_video.absolute(), output_video.absolute()))

-        try:
-            self.bit_depth = pixel_formats[fm.pixel_format]
-        except KeyError:
-            Avalon.error(f'Unsupported pixel format: {fm.pixel_format}')
-            raise UnsupportedPixelError(f'unsupported pixel format {fm.pixel_format}')
+        # record video count for external calls
+        self.total_videos = self.processing_queue.qsize()

-        Avalon.info(f'Framerate: {framerate}')
+        while not self.processing_queue.empty():
+            self.current_input_video, output_video = self.processing_queue.get()
+            # drivers that have native support for video processing
+            if self.driver == 'anime4kcpp':
+                # append FFmpeg path to the end of PATH
+                # Anime4KCPP will then use FFmpeg to migrate audio tracks
+                os.environ['PATH'] += f';{self.ffmpeg_settings["ffmpeg_path"]}'
+                Avalon.info(_('Starting to upscale extracted images'))

-        # width/height will be coded width/height x upscale factor
-        if self.scale_ratio:
-            original_width = video_info['streams'][video_stream_index]['width']
-            original_height = video_info['streams'][video_stream_index]['height']
-            self.scale_width = int(self.scale_ratio * original_width)
-            self.scale_height = int(self.scale_ratio * original_height)
+                # run Anime4KCPP
+                self.process_pool.append(self.driver_object.upscale(self.current_input_video, output_video))
+                self._wait()
+                Avalon.info(_('Upscaling completed'))

-        # upscale images one by one using waifu2x
-        Avalon.info('Starting to upscale extracted images')
-        self._upscale_frames()
-        Avalon.info('Upscaling completed')
+            else:
+                try:
+                    self.create_temp_directories()

-        # frames to Video
-        Avalon.info('Converting extracted frames into video')
+                    # initialize objects for ffmpeg and waifu2x-caffe
+                    fm = Ffmpeg(self.ffmpeg_settings, self.image_format)

-        # use user defined output size
-        fm.convert_video(framerate, f'{self.scale_width}x{self.scale_height}', self.upscaled_frames)
-        Avalon.info('Conversion completed')
+                    Avalon.info(_('Reading video information'))
+                    video_info = fm.get_video_info(self.current_input_video)
+                    # analyze original video with FFprobe and retrieve framerate
+                    # width, height = info['streams'][0]['width'], info['streams'][0]['height']

-        # migrate audio tracks and subtitles
-        Avalon.info('Migrating audio tracks and subtitles to upscaled video')
-        fm.migrate_audio_tracks_subtitles(self.input_video, self.output_video, self.upscaled_frames)
+                    # find index of video stream
+                    video_stream_index = None
+                    for stream in video_info['streams']:
+                        if stream['codec_type'] == 'video':
+                            video_stream_index = stream['index']
+                            break
+
+                    # exit if no video stream found
+                    if video_stream_index is None:
+                        Avalon.error(_('Aborting: No video stream found'))
+                        raise StreamNotFoundError('no video stream found')
+
+                    # extract frames from video
+                    self.process_pool.append((fm.extract_frames(self.current_input_video, self.extracted_frames)))
+                    self._wait()
+
+                    # get average frame rate of video stream
+                    framerate = float(Fraction(video_info['streams'][video_stream_index]['r_frame_rate']))
+                    fm.pixel_format = video_info['streams'][video_stream_index]['pix_fmt']
+
+                    if self.driver == 'waifu2x_caffe':
+                        # get a dict of all pixel formats and corresponding bit depth
+                        pixel_formats = fm.get_pixel_formats()
+
+                        # try getting pixel format's corresponding bti depth
+                        try:
+                            self.driver_settings['output_depth'] = pixel_formats[fm.pixel_format]
+                        except KeyError:
+                            Avalon.error(_('Unsupported pixel format: {}').format(fm.pixel_format))
+                            raise UnsupportedPixelError(f'unsupported pixel format {fm.pixel_format}')
+
+                    Avalon.info(_('Framerate: {}').format(framerate))
+
+                    # width/height will be coded width/height x upscale factor
+                    original_width = video_info['streams'][video_stream_index]['width']
+                    original_height = video_info['streams'][video_stream_index]['height']
+                    scale_width = int(self.scale_ratio * original_width)
+                    scale_height = int(self.scale_ratio * original_height)
+
+                    # upscale images one by one using waifu2x
+                    Avalon.info(_('Starting to upscale extracted images'))
+                    self._upscale_frames()
+                    Avalon.info(_('Upscaling completed'))
+
+                    # frames to Video
+                    Avalon.info(_('Converting extracted frames into video'))
+
+                    # use user defined output size
+                    self.process_pool.append(fm.assemble_video(framerate,
+                                                               f'{scale_width}x{scale_height}',
+                                                               self.upscaled_frames))
+                    self._wait()
+                    Avalon.info(_('Conversion completed'))
+
+                    try:
+                        # migrate audio tracks and subtitles
+                        Avalon.info(_('Migrating audio, subtitles and other streams to upscaled video'))
+                        self.process_pool.append(fm.migrate_streams(self.current_input_video,
+                                                                    output_video,
+                                                                    self.upscaled_frames))
+                        self._wait()
+
+                    # if failed to copy streams
+                    # use file with only video stream
+                    except subprocess.CalledProcessError:
+                        Avalon.error(_('Failed to migrate streams'))
+                        Avalon.warning(_('Trying to output video without additional streams'))
+
+                        # construct output file path
+                        output_video_path = output_video.parent / f'{output_video.stem}{fm.intermediate_file_name.suffix}'
+
+                        # if output file already exists, cancel
+                        if output_video_path.exists():
+                            Avalon.error(_('Output video file exists, aborting'))
+
+                        # otherwise, rename intermediate file to the output file
+                        else:
+                            Avalon.info(_('Writing intermediate file to: {}').format(output_video_path.absolute()))
+                            (self.upscaled_frames / fm.intermediate_file_name).rename(output_video_path)
+
+                    # destroy temp directories
+                    self.cleanup_temp_directories()
+
+                except (Exception, KeyboardInterrupt, SystemExit) as e:
+                    with contextlib.suppress(ValueError):
+                        self.cleanup_temp_directories()
+                        self.running = False
+                    raise e
+
+            # increment total number of videos processed
+            self.total_processed += 1
+
+        # signal upscaling completion
+        self.running = False
--- a/src/video2x.json
+++ b/src/video2x.json
@@ -1,102 +0,0 @@
-{
-  "waifu2x_caffe": {
-    "waifu2x_caffe_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\waifu2x-caffe\\waifu2x-caffe-cui.exe",
-    "input_extention_list": null,
-    "output_extention": null,
-    "mode": "noise_scale",
-    "scale_ratio": null,
-    "scale_width": null,
-    "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": null,
-    "crop_w": null,
-    "crop_h": null
-  },
-  "waifu2x_converter": {
-    "waifu2x_converter_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\waifu2x-converter-cpp",
-    "output-format": null,
-    "png-compression": null,
-    "image-quality": null,
-    "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",
-    "silent": true,
-    "output": null,
-    "input": null
-  },
-  "waifu2x_ncnn_vulkan": {
-    "waifu2x_ncnn_vulkan_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\waifu2x-ncnn-vulkan\\waifu2x-ncnn-vulkan.exe",
-    "v": null,
-    "i": null,
-    "o": null,
-    "n": 2,
-    "s": 2,
-    "t": 400,
-    "m": "models-cunet",
-    "g": 0,
-    "j": "1:2:2"
-  },
-  "anime4k": {
-    "anime4k_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\anime4k\\Anime4K.jar",
-    "java_path": "C:\\Program Files\\Java\\jdk-12.0.2\\bin\\java.exe"
-  },
-  "ffmpeg": {
-    "ffmpeg_path": "C:\\Users\\K4YT3X\\AppData\\Local\\video2x\\ffmpeg-latest-win64-static\\bin",
-    "video_to_frames": {
-      "output_options": {
-        "-qscale:v": null,
-        "-pix_fmt": "rgba64be"
-      },
-      "-hwaccel": "auto",
-      "-y": true
-    },
-    "frames_to_video": {
-      "input_options": {
-        "-qscale:v": null,
-        "-qscale:a": null,
-        "-f": "image2"
-      },
-      "output_options": {
-        "-vcodec": "libx264",
-        "-crf": 17,
-        "-b:v": null,
-        "-pix_fmt": null
-      },
-      "-hwaccel": "auto",
-      "-y": true
-    },
-    "migrating_tracks": {
-      "output_options": {
-        "-map": [
-          "0:v:0?",
-          "1?",
-          "-1:v?"
-        ],
-        "-c": "copy",
-        "-pix_fmt": null
-      },
-      "-hwaccel": "auto",
-      "-y": true
-    }
-  },
-  "video2x": {
-    "video2x_cache_directory": null,
-    "image_format": "png",
-    "preserve_frames": false
-  }
-}
--- a/src/video2x.pot
+++ b/src/video2x.pot
@@ -0,0 +1,262 @@
+# SOME DESCRIPTIVE TITLE.
+# Copyright (C) YEAR ORGANIZATION
+# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
+#
+msgid ""
+msgstr ""
+"Project-Id-Version: PACKAGE VERSION\n"
+"POT-Creation-Date: 2020-05-11 04:39-0400\n"
+"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
+"Language-Team: LANGUAGE <LL@li.org>\n"
+"MIME-Version: 1.0\n"
+"Content-Type: text/plain; charset=cp1252\n"
+"Content-Transfer-Encoding: 8bit\n"
+"Generated-By: pygettext.py 1.5\n"
+
+
+#: progress_monitor.py:42
+msgid "Upscaling Progress"
+msgstr ""
+
+#: upscaler.py:104
+msgid "Specified or default cache directory is a file/link"
+msgstr ""
+
+#: upscaler.py:110
+msgid "Creating cache directory {}"
+msgstr ""
+
+#: upscaler.py:113
+msgid "Unable to create {}"
+msgstr ""
+
+#: upscaler.py:118
+msgid "Extracted frames are being saved to: {}"
+msgstr ""
+
+#: upscaler.py:120
+msgid "Upscaled frames are being saved to: {}"
+msgstr ""
+
+#: upscaler.py:130
+msgid "Cleaning up cache directory: {}"
+msgstr ""
+
+#: upscaler.py:133
+msgid "Unable to delete: {}"
+msgstr ""
+
+#: upscaler.py:139 upscaler.py:154 upscaler.py:165
+msgid "Input and output path type mismatch"
+msgstr ""
+
+#: upscaler.py:140
+msgid "Input is multiple files but output is not directory"
+msgstr ""
+
+#: upscaler.py:144
+msgid "Input path {} is neither a file nor a directory"
+msgstr ""
+
+#: upscaler.py:148 upscaler.py:170
+msgid "Input directory and output directory cannot be the same"
+msgstr ""
+
+#: upscaler.py:155
+msgid "Input is single file but output is directory"
+msgstr ""
+
+#: upscaler.py:158
+msgid "No suffix found in output file path"
+msgstr ""
+
+#: upscaler.py:159
+msgid "Suffix must be specified for FFmpeg"
+msgstr ""
+
+#: upscaler.py:166
+msgid "Input is directory but output is existing single file"
+msgstr ""
+
+#: upscaler.py:175
+msgid "Input path is neither a file nor a directory"
+msgstr ""
+
+#: upscaler.py:184
+msgid "FFmpeg or FFprobe cannot be found under the specified path"
+msgstr ""
+
+#: upscaler.py:185 upscaler.py:195
+msgid "Please check the configuration file settings"
+msgstr ""
+
+#: upscaler.py:194
+msgid "Specified driver executable directory doesn't exist"
+msgstr ""
+
+#: upscaler.py:221
+msgid "Failed to parse driver argument: {}"
+msgstr ""
+
+#: upscaler.py:253
+msgid "Unrecognized driver: {}"
+msgstr ""
+
+#: upscaler.py:293
+msgid "Starting progress monitor"
+msgstr ""
+
+#: upscaler.py:298
+msgid "Starting upscaled image cleaner"
+msgstr ""
+
+#: upscaler.py:307 upscaler.py:324
+msgid "Killing progress monitor"
+msgstr ""
+
+#: upscaler.py:310 upscaler.py:327
+msgid "Killing upscaled image cleaner"
+msgstr ""
+
+#: upscaler.py:331
+msgid "Terminating all processes"
+msgstr ""
+
+#: upscaler.py:338
+msgid "Main process waiting for subprocesses to exit"
+msgstr ""
+
+#: upscaler.py:357 upscaler.py:361
+msgid "Subprocess {} exited with code {}"
+msgstr ""
+
+#: upscaler.py:367
+msgid "Stop signal received"
+msgstr ""
+
+#: upscaler.py:372
+msgid "Subprocess execution ran into an error"
+msgstr ""
+
+#: upscaler.py:421
+msgid "Upscaling single video file: {}"
+msgstr ""
+
+#: upscaler.py:443 upscaler.py:502
+msgid "Starting to upscale extracted images"
+msgstr ""
+
+#: upscaler.py:448 upscaler.py:504
+msgid "Upscaling completed"
+msgstr ""
+
+#: upscaler.py:457
+msgid "Reading video information"
+msgstr ""
+
+#: upscaler.py:471
+msgid "Aborting: No video stream found"
+msgstr ""
+
+#: upscaler.py:490
+msgid "Unsupported pixel format: {}"
+msgstr ""
+
+#: upscaler.py:493
+msgid "Framerate: {}"
+msgstr ""
+
+#: upscaler.py:507
+msgid "Converting extracted frames into video"
+msgstr ""
+
+#: upscaler.py:514
+msgid "Conversion completed"
+msgstr ""
+
+#: upscaler.py:518
+msgid "Migrating audio, subtitles and other streams to upscaled video"
+msgstr ""
+
+#: upscaler.py:527
+msgid "Failed to migrate streams"
+msgstr ""
+
+#: upscaler.py:528
+msgid "Trying to output video without additional streams"
+msgstr ""
+
+#: upscaler.py:535
+msgid "Output video file exists, aborting"
+msgstr ""
+
+#: upscaler.py:539
+msgid "Writing intermediate file to: {}"
+msgstr ""
+
+#: video2x.py:84
+msgid ""
+"Video2X Version: {}\n"
+"Author: K4YT3X\n"
+"License: GNU GPL v3\n"
+"Github Page: https://github.com/k4yt3x/video2x\n"
+"Contact: k4yt3x@k4yt3x.com"
+msgstr ""
+
+#: video2x.py:106
+msgid "Video2X Options"
+msgstr ""
+
+#: video2x.py:107
+msgid "show this help message and exit"
+msgstr ""
+
+#: video2x.py:108
+msgid "source video file/directory"
+msgstr ""
+
+#: video2x.py:109
+msgid "output video file/directory"
+msgstr ""
+
+#: video2x.py:110
+msgid "video2x config file path"
+msgstr ""
+
+#: video2x.py:112
+msgid "display version, lawful information and exit"
+msgstr ""
+
+#: video2x.py:115
+msgid "Upscaling Options"
+msgstr ""
+
+#: video2x.py:116
+msgid "upscaling driver"
+msgstr ""
+
+#: video2x.py:117
+msgid "scaling ratio"
+msgstr ""
+
+#: video2x.py:118
+msgid "number of processes to use for upscaling"
+msgstr ""
+
+#: video2x.py:119
+msgid "preserve extracted and upscaled frames"
+msgstr ""
+
+#: video2x.py:159
+msgid "This file cannot be imported"
+msgstr ""
+
+#: video2x.py:229
+msgid "Program completed, taking {} seconds"
+msgstr ""
+
+#: video2x.py:232
+msgid "An exception has occurred"
+msgstr ""
+
--- a/src/video2x.py
+++ b/src/video2x.py
@@ -13,10 +13,16 @@ __      __  _       _                  ___   __   __
 Name: Video2X Controller
 Creator: K4YT3X
 Date Created: Feb 24, 2018
-Last Modified: January 4, 2020
+Last Modified: May 10, 2020

 Editor: BrianPetkovsek
+Last Modified: June 17, 2019
+
 Editor: SAT3LL
+Last Modified: June 25, 2019
+
+Editor: 28598519a
+Last Modified: March 23, 2020

 Licensed under the GNU General Public License Version 3 (GNU GPL v3),
    available at: https://www.gnu.org/licenses/gpl-3.0.txt
@@ -34,7 +40,7 @@ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 GNU General Public License for more details.

 You should have received a copy of the GNU General Public License
-along with this program.  If not, see <https://www.gnu.org/licenses/>.
+along with this program. If not, see <https://www.gnu.org/licenses/>.

 Description: Video2X is an automation software based on waifu2x image
 enlarging engine. It extracts frames from a video, enlarge it by a
@@ -43,16 +49,16 @@ smooth and edges sharp.
 """

 # local imports
-from exceptions import *
 from upscaler import AVAILABLE_DRIVERS
 from upscaler import Upscaler

 # built-in imports
 import argparse
-import contextlib
+import gettext
+import importlib
+import locale
+import os
 import pathlib
-import re
-import shutil
 import sys
 import tempfile
 import time
@@ -61,17 +67,25 @@ import yaml

 # third-party imports
 from avalon_framework import Avalon
-import GPUtil
-import psutil
+
+# internationalization constants
+DOMAIN = 'video2x'
+LOCALE_DIRECTORY = pathlib.Path(__file__).parent.absolute() / 'locale'
+
+# getting default locale settings
+default_locale, encoding = locale.getdefaultlocale()
+language = gettext.translation(DOMAIN, LOCALE_DIRECTORY, [default_locale], fallback=True)
+language.install()
+_ = language.gettext


-VERSION = '3.0.0'
+VERSION = '4.0.0'

-LEGAL_INFO = f'''Video2X Version: {VERSION}
+LEGAL_INFO = _('''Video2X Version: {}
 Author: K4YT3X
 License: GNU GPL v3
 Github Page: https://github.com/k4yt3x/video2x
-Contact: k4yt3x@k4yt3x.com'''
+Contact: k4yt3x@k4yt3x.com''').format(VERSION)

 LOGO = r'''
    __      __  _       _                  ___   __   __
@@ -82,47 +96,39 @@ LOGO = r'''
        \/     |_|  \__,_|  \___|  \___/  |____| /_/ \_\
 '''

-# each thread might take up to 2.5 GB during initialization.
-# (system memory, not to be confused with GPU memory)
-SYS_MEM_PER_THREAD = 2.5
-GPU_MEM_PER_THREAD = 3.5
-

 def parse_arguments():
-    """Processes CLI arguments
-
-    This function parses all arguments
-    This allows users to customize options
-    for the output video.
+    """ parse CLI arguments
    """
-    parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
+    parser = argparse.ArgumentParser(prog='video2x', formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)

    # video options
-    file_options = parser.add_argument_group('File Options')
-    file_options.add_argument('-i', '--input', type=pathlib.Path, help='source video file/directory', action='store')
-    file_options.add_argument('-o', '--output', type=pathlib.Path, 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'])
-    upscaler_options.add_argument('-d', '--driver', help='upscaling driver', action='store', default='waifu2x_caffe', choices=AVAILABLE_DRIVERS)
-    upscaler_options.add_argument('-y', '--model_dir', type=pathlib.Path, 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', type=pathlib.Path, help='video2x config file location', action='store', default=pathlib.Path(sys.argv[0]).parent.absolute() / 'video2x.yaml')
-    upscaler_options.add_argument('-b', '--batch', help='enable batch mode (select all default values to questions)', action='store_true')
+    video2x_options = parser.add_argument_group(_('Video2X Options'))
+    video2x_options.add_argument('-h', '--help', action='help', help=_('show this help message and exit'))
+    video2x_options.add_argument('-i', '--input', type=pathlib.Path, help=_('source video file/directory'))
+    video2x_options.add_argument('-o', '--output', type=pathlib.Path, help=_('output video file/directory'))
+    video2x_options.add_argument('-c', '--config', type=pathlib.Path, help=_('video2x config file path'), action='store',
+                                 default=pathlib.Path(__file__).parent.absolute() / 'video2x.yaml')
+    video2x_options.add_argument('-v', '--version', help=_('display version, lawful information and exit'), 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)
+    upscaling_options = parser.add_argument_group(_('Upscaling Options'))
+    upscaling_options.add_argument('-d', '--driver', help=_('upscaling driver'), choices=AVAILABLE_DRIVERS, default='waifu2x_caffe')
+    upscaling_options.add_argument('-r', '--ratio', help=_('scaling ratio'), action='store', type=float, default=2.0)
+    upscaling_options.add_argument('-p', '--processes', help=_('number of processes to use for upscaling'), action='store', type=int, default=1)
+    upscaling_options.add_argument('--preserve_frames', help=_('preserve extracted and upscaled frames'), action='store_true')

-    # 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')
+    # if no driver arguments are specified
+    if '--' not in sys.argv:
+        video2x_args = parser.parse_args()
+        return video2x_args, None

-    # parse arguments
-    return parser.parse_args()
+    # if driver arguments are specified
+    else:
+        video2x_args = parser.parse_args(sys.argv[1:sys.argv.index('--')])
+        wrapper = getattr(importlib.import_module(f'wrappers.{video2x_args.driver}'), 'WrapperMain')
+        driver_args = wrapper.parse_arguments(sys.argv[sys.argv.index('--') + 1:])
+        return video2x_args, driver_args


 def print_logo():
@@ -132,61 +138,6 @@ def print_logo():
    print(f'\n{Avalon.FM.BD}{f"Version {VERSION}".rjust(36, " ")}{Avalon.FM.RST}\n')


-def check_memory():
-    """ Check usable system memory
-    Warn the user if insufficient memory is available for
-    the number of threads that the user have chosen.
-    """
-
-    memory_status = []
-    # get system available memory
-    system_memory_available = psutil.virtual_memory().available / (1024 ** 3)
-    memory_status.append(('system', system_memory_available))
-
-    # check if Nvidia-smi is available
-    # GPUtil requires nvidia-smi.exe to interact with GPU
-    if args.method in ['gpu', 'cudnn']:
-        if not (shutil.which('nvidia-smi') or
-                pathlib.Path(r'C:\Program Files\NVIDIA Corporation\NVSMI\nvidia-smi.exe').is_file()):
-            # 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')
-        else:
-            with contextlib.suppress(ValueError):
-                # "0" is GPU ID. Both waifu2x drivers use the first GPU available, therefore only 0 makes sense
-                gpu_memory_available = (GPUtil.getGPUs()[0].memoryTotal - GPUtil.getGPUs()[0].memoryUsed) / 1024
-                memory_status.append(('GPU', gpu_memory_available))
-
-    # go though each checkable memory type and check availability
-    for memory_type, memory_available in memory_status:
-
-        if memory_type == 'system':
-            mem_per_thread = SYS_MEM_PER_THREAD
-        else:
-            mem_per_thread = GPU_MEM_PER_THREAD
-
-        # if user doesn't even have enough memory to run even one thread
-        if memory_available < mem_per_thread:
-            Avalon.warning(f'You might have insufficient amount of {memory_type} memory available to run this program ({memory_available} GB)')
-            Avalon.warning('Proceed with caution')
-            if args.threads > 1:
-                if Avalon.ask('Reduce number of threads to avoid crashing?', default=True, batch=args.batch):
-                    args.threads = 1
-        # if memory available is less than needed, warn the user
-        elif memory_available < (mem_per_thread * args.threads):
-            Avalon.warning(f'Each waifu2x-caffe thread will require up to {SYS_MEM_PER_THREAD} GB of system memory')
-            Avalon.warning(f'You demanded {args.threads} threads to be created, but you only have {round(memory_available, 4)} GB {memory_type} memory available')
-            Avalon.warning(f'{mem_per_thread * args.threads} GB of {memory_type} memory is recommended for {args.threads} threads')
-            Avalon.warning(f'With your current amount of {memory_type} memory available, {int(memory_available // mem_per_thread)} threads is recommended')
-
-            # ask the user if he / she wants to change to the recommended
-            # number of threads
-            if Avalon.ask('Change to the recommended value?', default=True, batch=args.batch):
-                args.threads = int(memory_available // mem_per_thread)
-            else:
-                Avalon.warning('Proceed with caution')
-
-
 def read_config(config_file: pathlib.Path) -> dict:
    """ read video2x configurations from config file

@@ -201,246 +152,82 @@ def read_config(config_file: pathlib.Path) -> dict:
        return yaml.load(config, Loader=yaml.FullLoader)


-def absolutify_paths(config):
-    """ Check to see if paths to binaries are absolute
-
-    This function checks if paths to binary files are absolute.
-    If not, then absolutify the path.
-
-    Arguments:
-        config {dict} -- configuration file dictionary
-
-    Returns:
-        dict -- configuration file dictionary
-    """
-    current_directory = pathlib.Path(sys.argv[0]).parent.absolute()
-
-    # check waifu2x-caffe path
-    if not re.match('^[a-z]:', config['waifu2x_caffe']['waifu2x_caffe_path'], re.IGNORECASE):
-        config['waifu2x_caffe']['waifu2x_caffe_path'] = current_directory / config['waifu2x_caffe']['waifu2x_caffe_path']
-
-    # check waifu2x-converter-cpp path
-    if not re.match('^[a-z]:', config['waifu2x_converter']['waifu2x_converter_path'], re.IGNORECASE):
-        config['waifu2x_converter']['waifu2x_converter_path'] = current_directory / config['waifu2x_converter']['waifu2x_converter_path']
-
-    # check waifu2x_ncnn_vulkan path
-    if not re.match('^[a-z]:', config['waifu2x_ncnn_vulkan']['waifu2x_ncnn_vulkan_path'], re.IGNORECASE):
-        config['waifu2x_ncnn_vulkan']['waifu2x_ncnn_vulkan_path'] = current_directory / config['waifu2x_ncnn_vulkan']['waifu2x_ncnn_vulkan_path']
-
-    # check anime4k path
-    if not re.match('^[a-z]:', config['anime4k']['anime4k_path'], re.IGNORECASE):
-        config['anime4k']['anime4k_path'] = current_directory / config['anime4k']['anime4k_path']
-
-    # check ffmpeg path
-    if not re.match('^[a-z]:', config['ffmpeg']['ffmpeg_path'], re.IGNORECASE):
-        config['ffmpeg']['ffmpeg_path'] = current_directory / config['ffmpeg']['ffmpeg_path']
-
-    # check video2x cache path
-    if config['video2x']['video2x_cache_directory']:
-        if not re.match('^[a-z]:', config['video2x']['video2x_cache_directory'], re.IGNORECASE):
-            config['video2x']['video2x_cache_directory'] = current_directory / config['video2x']['video2x_cache_directory']
-
-    return config
-
-
 # /////////////////// Execution /////////////////// #

 # this is not a library
 if __name__ != '__main__':
-    Avalon.error('This file cannot be imported')
+    Avalon.error(_('This file cannot be imported'))
    raise ImportError(f'{__file__} cannot be imported')

 # print video2x logo
 print_logo()

 # parse command line arguments
-args = parse_arguments()
+video2x_args, driver_args = parse_arguments()

 # display version and lawful informaition
-if args.version:
+if video2x_args.version:
    print(LEGAL_INFO)
    sys.exit(0)

-# arguments sanity check
-if not args.input:
-    Avalon.error('You must specify input video file/directory path')
-    raise ArgumentError('input video path not specified')
-if not args.output:
-    Avalon.error('You must specify output video file/directory path')
-    raise ArgumentError('output video path not specified')
-if (args.driver in ['waifu2x_converter', 'waifu2x_ncnn_vulkan', 'anime4k']) and args.width and args.height:
-    Avalon.error('Selected driver accepts only scaling ratio')
-    raise ArgumentError('selected driver supports only scaling ratio')
-if args.driver == 'waifu2x_ncnn_vulkan' and args.ratio is not None and (args.ratio > 2 or not args.ratio.is_integer()):
-    Avalon.error('Scaling ratio must be 1 or 2 for waifu2x_ncnn_vulkan')
-    raise ArgumentError('scaling ratio must be 1 or 2 for waifu2x_ncnn_vulkan')
-if (args.width or args.height) and args.ratio:
-    Avalon.error('You can only specify either scaling ratio or output width and height')
-    raise ArgumentError('both scaling ration and width/height specified')
-if (args.width and not args.height) or (not args.width and args.height):
-    Avalon.error('You must specify both width and height')
-    raise ArgumentError('only one of width or height is specified')
-
-# check available memory if driver is waifu2x-based
-if args.driver in ['waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan']:
-    check_memory()
-
-# anime4k runs significantly faster with more threads
-if args.driver == 'anime4k' and args.threads <= 1:
-    Avalon.warning('Anime4K runs significantly faster with more threads')
-    if Avalon.ask('Use more threads of Anime4K?', default=True, batch=args.batch):
-        while True:
-            try:
-                threads = Avalon.gets('Amount of threads to use [5]: ', default=5, batch=args.batch)
-                args.threads = int(threads)
-                break
-            except ValueError:
-                if threads == '':
-                    args.threads = 5
-                    break
-                Avalon.error(f'{threads} is not a valid integer')
-
 # read configurations from configuration file
-config = read_config(args.config)
-
-# config = absolutify_paths(config)
+config = read_config(video2x_args.config)

 # load waifu2x configuration
-driver_settings = config[args.driver]
-
-# check if driver path exists
-if not pathlib.Path(driver_settings['path']).is_file():
-    if not pathlib.Path(f'{driver_settings["path"]}.exe').is_file():
-        Avalon.error('Specified driver executable directory doesn\'t exist')
-        Avalon.error('Please check the configuration file settings')
-        raise FileNotFoundError(driver_settings['path'])
-
-# if the driver is Anime4K, check if JDK 12 is installed
-if args.driver == 'anime4k':
-    if not pathlib.Path('C:/Program Files/Java/jdk-12.0.2/bin/java.exe').is_file():
-        Avalon.warning('Cannot find JDK 12 at its default installation location')
-        Avalon.warning('Please ensure you have JDK 12 installed and configured')
+driver_settings = config[video2x_args.driver]
+driver_settings['path'] = os.path.expandvars(driver_settings['path'])

 # read FFmpeg configuration
 ffmpeg_settings = config['ffmpeg']
+ffmpeg_settings['ffmpeg_path'] = os.path.expandvars(ffmpeg_settings['ffmpeg_path'])

 # load video2x settings
 image_format = config['video2x']['image_format'].lower()
 preserve_frames = config['video2x']['preserve_frames']

-# load cache directory
-if isinstance(config['video2x']['video2x_cache_directory'], str):
-    video2x_cache_directory = pathlib.Path(config['video2x']['video2x_cache_directory'])
+# if preserve frames specified in command line
+# overwrite config file options
+if video2x_args.preserve_frames is True:
+    preserve_frames = True
+
+# if cache directory not specified
+# use default path: %TEMP%\video2x
+if config['video2x']['video2x_cache_directory'] is None:
+    video2x_cache_directory = (pathlib.Path(tempfile.gettempdir()) / 'video2x')
 else:
-    video2x_cache_directory = pathlib.Path(tempfile.gettempdir()) / 'video2x'
-
-if video2x_cache_directory.exists() and not video2x_cache_directory.is_dir():
-    Avalon.error('Specified cache directory is a file/link')
-    raise FileExistsError('Specified cache directory is a file/link')
-
-elif not video2x_cache_directory.exists():
-    # if destination file is a file or a symbolic link
-    Avalon.warning(f'Specified cache directory {video2x_cache_directory} does not exist')
-
-    # try creating the cache directory
-    if Avalon.ask('Create directory?', default=True, batch=args.batch):
-        try:
-            video2x_cache_directory.mkdir(parents=True, exist_ok=True)
-            Avalon.info(f'{video2x_cache_directory} created')
-
-        # there can be a number of exceptions here
-        # PermissionError, FileExistsError, etc.
-        # therefore, we put a catch-them-all here
-        except Exception as e:
-            Avalon.error(f'Unable to create {video2x_cache_directory}')
-            Avalon.error('Aborting...')
-            raise e
-    else:
-        raise FileNotFoundError('Could not create cache directory')
+    video2x_cache_directory = pathlib.Path(config['video2x']['video2x_cache_directory'])

+# overwrite driver_settings with driver_args
+if driver_args is not None:
+    driver_args_dict = vars(driver_args)
+    for key in driver_args_dict:
+        if driver_args_dict[key] is not None:
+            driver_settings[key] = driver_args_dict[key]

 # start execution
 try:
    # start timer
    begin_time = time.time()

-    # if input specified is a single file
-    if args.input.is_file():
+    # initialize upscaler object
+    upscaler = Upscaler(input_path=video2x_args.input,
+                        output_path=video2x_args.output,
+                        driver_settings=driver_settings,
+                        ffmpeg_settings=ffmpeg_settings)

-        # upscale single video file
-        Avalon.info(f'Upscaling single video file: {args.input}')
+    # set upscaler optional options
+    upscaler.driver = video2x_args.driver
+    upscaler.scale_ratio = video2x_args.ratio
+    upscaler.processes = video2x_args.processes
+    upscaler.video2x_cache_directory = video2x_cache_directory
+    upscaler.image_format = image_format
+    upscaler.preserve_frames = preserve_frames

-        # check for input output format mismatch
-        if args.output.is_dir():
-            Avalon.error('Input and output path type mismatch')
-            Avalon.error('Input is single file but output is directory')
-            raise Exception('input output path type mismatch')
-        if not re.search(r'.*\..*$', str(args.output)):
-            Avalon.error('No suffix found in output file path')
-            Avalon.error('Suffix must be specified for FFmpeg')
-            raise Exception('No suffix specified')
+    # run upscaler
+    upscaler.run()

-        upscaler = Upscaler(input_video=args.input, output_video=args.output, method=args.method, driver_settings=driver_settings, ffmpeg_settings=ffmpeg_settings)
-
-        # set optional options
-        upscaler.waifu2x_driver = args.driver
-        upscaler.scale_width = args.width
-        upscaler.scale_height = args.height
-        upscaler.scale_ratio = args.ratio
-        upscaler.model_dir = args.model_dir
-        upscaler.threads = args.threads
-        upscaler.video2x_cache_directory = video2x_cache_directory
-        upscaler.image_format = image_format
-        upscaler.preserve_frames = preserve_frames
-
-        # run upscaler
-        upscaler.create_temp_directories()
-        upscaler.run()
-        upscaler.cleanup_temp_directories()
-
-    # if input specified is a directory
-    elif args.input.is_dir():
-        # upscale videos in a directory
-        Avalon.info(f'Upscaling videos in directory: {args.input}')
-
-        # make output directory if it doesn't exist
-        args.output.mkdir(parents=True, exist_ok=True)
-
-        for input_video in [f for f in args.input.iterdir() if f.is_file()]:
-            output_video = args.output / input_video.name
-            upscaler = Upscaler(input_video=input_video, output_video=output_video, method=args.method, driver_settings=driver_settings, ffmpeg_settings=ffmpeg_settings)
-
-            # set optional options
-            upscaler.waifu2x_driver = args.driver
-            upscaler.scale_width = args.width
-            upscaler.scale_height = args.height
-            upscaler.scale_ratio = args.ratio
-            upscaler.model_dir = args.model_dir
-            upscaler.threads = args.threads
-            upscaler.video2x_cache_directory = video2x_cache_directory
-            upscaler.image_format = image_format
-            upscaler.preserve_frames = preserve_frames
-
-            # run upscaler
-            upscaler.create_temp_directories()
-            upscaler.run()
-            upscaler.cleanup_temp_directories()
-    else:
-        Avalon.error('Input path is neither a file nor a directory')
-        raise FileNotFoundError(f'{args.input} is neither file nor directory')
-
-    Avalon.info(f'Program completed, taking {round((time.time() - begin_time), 5)} seconds')
+    Avalon.info(_('Program completed, taking {} seconds').format(round((time.time() - begin_time), 5)))

 except Exception:
-    Avalon.error('An exception has occurred')
+    Avalon.error(_('An exception has occurred'))
    traceback.print_exc()
-
-    # try cleaning up temp directories
-    with contextlib.suppress(Exception):
-        upscaler.cleanup_temp_directories()
-
-finally:
-    # remove Video2X cache directory
-    with contextlib.suppress(FileNotFoundError):
-        if not preserve_frames:
-            shutil.rmtree(video2x_cache_directory)
--- a/src/video2x.yaml
+++ b/src/video2x.yaml
@@ -1,89 +1,144 @@
---
+# Name: Video2X Configuration File
+# Creator: K4YT3X
+# Date Created: October 23, 2018
+# Last Modified: May 9, 2020
+# Values here are the default values. Change the value here to
+#   save the default value permanently.
+# Items commented out are parameters irrelevant to this context
+#   or parameters handled by Video2X internally.
 waifu2x_caffe:
-  path: C:\Users\K4YT3X\AppData\Local\video2x\waifu2x-caffe\waifu2x-caffe-cui
-  input_extention_list:
-  output_extention:
-  mode: noise_scale
-  scale_ratio:
-  scale_width:
-  scale_height:
-  noise_level: 3
-  process: gpu
-  crop_size: 128
-  output_quality: -1
-  output_depth: 8
-  batch_size: 1
-  gpu: 0
-  tta: 0
-  input_path:
-  output_path:
-  model_dir:
-  crop_w:
-  crop_h:
-waifu2x_converter:
-  path: C:\Users\K4YT3X\AppData\Local\video2x\waifu2x-converter-cpp
-  output-format:
-  png-compression:
-  image-quality:
-  block-size:
-  disable-gpu:
-  force-OpenCL:
-  processor:
-  jobs:
-  model-dir:
-  scale-ratio:
-  noise-level: 3
-  mode: noise-scale
-  silent: true
-  output:
-  input:
+  path: '%LOCALAPPDATA%\video2x\waifu2x-caffe\waifu2x-caffe-cui'
+  tta: 0 # <0|1> 8x slower and slightly high quality
+  gpu: 0 # gpu device no
+  batch_size: 1 # input batch size
+  crop_h: null # input image split size(height)
+  crop_w: null # input image split size(width)
+  crop_size: 128 # input image split size
+  output_depth: 8 # output image chanel depth bit
+  output_quality: -1 # output image quality
+  process: gpu # <cpu|gpu|cudnn> process mode
+  model_dir: null # path to custom model directory (don't append last / )
+  scale_height: 0 # custom scale height (specifying this will overwrite scale_ratio)
+  scale_width: 0 # custom scale width (specifying this will overwrite scale_ratio)
+  #scale_ratio: null # custom scale ratio
+  noise_level: 3 # <0|1|2|3> noise reduction level
+  mode: noise_scale # <noise|scale|noise_scale|auto_scale> image processing mode
+  output_extention: null # extension to output image file when output_path is (auto) or input_path is folder
+  input_extention_list: null # extension to input image file when input_path is folder
+  #output_path: null # path to output image file (when input_path is folder, output_path must be folder)
+  #input_path: null # (required) path to input image file
+waifu2x_converter_cpp:
+  path: '%LOCALAPPDATA%\video2x\waifu2x-converter-cpp\waifu2x-converter-cpp'
+  #list-supported-formats: null # dump currently supported format list
+  #list-opencv-formats: null # (deprecated. Use --list-supported-formats) dump opencv supported format list
+  #list-processor # dump processor list
+  output-format: null # The format used when running in recursive/folder mode
+  png-compression: 5 # Set PNG compression level (0-9), 9 = Max compression (slowest & smallest)
+  image-quality: -1 # JPEG & WebP Compression quality (-1-101, 0 being smallest size and lowest quality, -1 being default), use 101 for lossless WebP
+  block-size: 0 # block size
+  disable-gpu: false # disable GPU
+  force-OpenCL: false # force to use OpenCL on Intel Platform
+  processor: -1 # set target processor (-1 uses default device)
+  jobs: 0 # number of threads launching at the same time
+  model-dir: null # path to custom model directory (don't append last / ) default: models_rgb
+  #scale-ratio: 2.0 # custom scale ratio
+  noise-level: 1 # <0|1|2|3> noise reduction level
+  mode: noise-scale # <noise|scale|noise-scale> image processing mode
+  log-level: 1 # <0|1|2|3|4> Set log level
+  silent: true # Enable silent mode. (same as --log-level 1)
+  tta: 0 # Enable Test-Time Augmentation mode. (0 or 1)
+  #generate-subdir: 0 # Generate sub folder when recursive directory is enabled.
+  #auto-naming: 0 # Add postfix to output name when output path is not specified.
+  #recursive-directory: 0 # Search recursively through directories to find more images to process.
+  #output: null # path to output image file or directory  (you should use the full path)
+  #input: null # (required) path to input image file or directory (you should use the full path)
 waifu2x_ncnn_vulkan:
-  path: C:\Users\K4YT3X\AppData\Local\video2x\waifu2x-ncnn-vulkan\waifu2x-ncnn-vulkan
-  v:
-  i:
-  o:
-  n: 2
-  s: 2
-  t: 400
-  m: models-cunet
-  g: 0
-  j: "1:2:2"
-anime4k:
-  path: C:\Users\K4YT3X\AppData\Local\video2x\anime4k\Anime4K.jar
-  java_path: C:\Program Files\Java\jdk-12.0.2\bin\java.exe
+  path: '%LOCALAPPDATA%\video2x\waifu2x-ncnn-vulkan\waifu2x-ncnn-vulkan'
+  v: null # verbose output
+  #i: null # input-path: input image path (jpg/png) or directory
+  #o: null # output-path: output image path (png) or directory
+  'n': 2 # noise-level: denoise level (-1/0/1/2/3, default=0)
+  s: 2 # scale: upscale ratio (1/2, default=2)
+  t: 400 # tile-size: tile size (>=32, default=400)
+  m: null # model-path: waifu2x model path (default=models-cunet)
+  g: 0 # gpu-id: gpu device to use (default=0)
+  j: '1:2:2' # thread count for load/proc/save (default=1:2:2)
+  x: false # enable tta mode
+srmd_ncnn_vulkan:
+  path: '%LOCALAPPDATA%\video2x\srmd-ncnn-vulkan\srmd-ncnn-vulkan'
+  v: null # verbose output
+  #i: null # input-path: input image path (jpg/png) or directory
+  #o: null # output-path: output image path (png) or directory
+  'n': 3 # noise-level: denoise level (-1/0/1/2/3/4/5/6/7/8/9/10, default=3)
+  s: 2 # upscale ratio (2/3/4, default=2)
+  t: 400 # tile-size: tile size (>=32, default=400)
+  m: null # srmd model path (default=models-srmd)
+  g: 0 # gpu device to use (default=0)
+  j: '1:2:2' # thread count for load/proc/save (default=1:2:2)
+  x: false # enable tta mode
+anime4kcpp:
+  path: '%LOCALAPPDATA%\video2x\anime4kcpp\CLI\Anime4KCPP_CLI\Anime4KCPP_CLI'
+  #input: null # File for loading (string [=./pic/p1.png])
+  #output: null # File for outputting (string [=output.png])
+  passes: 2 # Passes for processing (int [=2])
+  pushColorCount: 2 # Limit the number of color pushes (int [=2])
+  strengthColor: 0.3 # Strength for pushing color,range 0 to 1,higher for thinner (double [=0.3])
+  strengthGradient: 1.0 # Strength for pushing gradient,range 0 to 1,higher for sharper (double [=1])
+  zoomFactor: 2.0 # zoom factor for resizing (double [=2])
+  threads: 16 # Threads count for video processing (unsigned int [=16])
+  fastMode: false # Faster but maybe low quality
+  videoMode: true # Video process
+  preview: null # Preview image
+  preprocessing: False # Enable pre processing
+  postprocessing: False # Enable post processing
+  preFilters: 4 # Enhancement filter, only working when preProcessing is true,there are 5 options by binary:Median blur=0000001, Mean blur=0000010, CAS Sharpening=0000100, Gaussian blur weak=0001000, Gaussian blur=0010000, Bilateral filter=0100000, Bilateral filter faster=1000000, you can freely combine them, eg: Gaussian blur weak + Bilateral filter = 0001000 | 0100000 = 0101000 = 40(D) (unsigned int [=4])
+  postFilters: 40 # Enhancement filter, only working when postProcessing is true,there are 5 options by binary:Median blur=0000001, Mean blur=0000010, CAS Sharpening=0000100, Gaussian blur weak=0001000, Gaussian blur=0010000, Bilateral filter=0100000, Bilateral filter faster=1000000, you can freely combine them, eg: Gaussian blur weak + Bilateral filter = 0001000 | 0100000 = 0101000 = 40(D), so you can put 40 to enable Gaussian blur weak and Bilateral filter, which also is what I recommend for image that < 1080P, 48 for image that >= 1080P, and for performance I recommend to use 72 for video that < 1080P, 80 for video that >=1080P (unsigned int [=40])
+  GPUMode: False # Enable GPU acceleration
+  listGPUs: null # list GPUs
+  platformID: 0 # Specify the platform ID (unsigned int [=0])
+  deviceID: 0 # Specify the device ID (unsigned int [=0])
+  codec: mp4v # Specify the codec for encoding from mp4v(recommended in Windows), dxva(for Windows), avc1(H264, recommended in Linux), vp09(very slow), hevc(not support in Windowds), av01(not support in Windowds) (string [=mp4v])
 ffmpeg:
-  ffmpeg_path: C:\Users\K4YT3X\AppData\Local\video2x\ffmpeg-latest-win64-static\bin
+  ffmpeg_path: '%LOCALAPPDATA%\video2x\ffmpeg-latest-win64-static\bin'
+  intermediate_file_name: 'intermediate.mkv'
+  # step 1: extract all frames from original video
+  # into temporary directory
  video_to_frames:
    output_options:
-      "-qscale:v":
-      "-pix_fmt": rgba64be
-    "-hwaccel": auto
-    "-y": true
+      '-qscale:v': null
+      '-pix_fmt': rgba64be
+    '-hwaccel': auto
+    '-y': true
+  # step 2: stitch all frames back into a video
+  # with only a video track
  frames_to_video:
    input_options:
-      "-qscale:v":
-      "-qscale:a":
-      "-f": image2
+      '-qscale:v': null
+      '-qscale:a': null
+      '-f': image2
    output_options:
-      "-vcodec": libx264
-      "-crf": 17
-      "-b:v":
-      "-pix_fmt":
-    "-hwaccel": auto
-    "-y": true
+      '-vcodec': libx264
+      '-crf': 17
+      '-b:v': null
+      '-pix_fmt': null
+    '-hwaccel': auto
+    '-y': true
+  # step 3: migrate audio and subtitle tracks from original
+  # video into the upscaled video
  migrating_tracks:
    output_options:
-      "-map":
-        - 0:v?
-        - 1:a?
-        - 1:s?
-        - 1:d?
-        - 1:t?
-      "-c": copy
-      "-pix_fmt":
-    "-hwaccel": auto
-    "-y": true
+      '-map':
+        - '0:v?'
+        - '1:a?'
+        - '1:s?'
+        - '1:d?'
+        - '1:t?'
+      '-c': copy
+      '-pix_fmt': null
+      '-metadata': 'comment=Upscaled by Video2X'
+    '-hwaccel': auto
+    '-y': true
 video2x:
-  video2x_cache_directory:
+  video2x_cache_directory: null # default: %TEMP%\video2x
  image_format: png
  preserve_frames: false
--- a/src/video2x_gui.py
+++ b/src/video2x_gui.py
--- a/src/video2x_gui.pyproject
+++ b/src/video2x_gui.pyproject
@@ -0,0 +1,3 @@
+{
+    "files": ["video2x_gui.ui","video2x_gui.py"]
+}
--- a/src/video2x_gui.pyproject.user
+++ b/src/video2x_gui.pyproject.user
@@ -0,0 +1,190 @@
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+    <value type="bool" key="Analyzer.Valgrind.FilterExternalIssues">true</value>
+    <value type="QString" key="Analyzer.Valgrind.KCachegrindExecutable">kcachegrind</value>
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+    <valuelist type="QVariantList" key="PE.EnvironmentAspect.Changes"/>
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+    <value type="QString" key="ProjectExplorer.ProjectConfiguration.Id">PythonEditor.RunConfiguration.C:/Users/k4yt3x/Documents/Projects/video2x/src/video2x_gui.py</value>
+    <value type="QString" key="ProjectExplorer.RunConfiguration.BuildKey">C:/Users/k4yt3x/Documents/Projects/video2x/src/video2x_gui.py</value>
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+    <value type="QString" key="PythonEditor.RunConfiguation.Script">C:\Users\k4yt3x\Documents\Projects\video2x\src\video2x_gui.py</value>
+    <value type="QString" key="RunConfiguration.Arguments"></value>
+    <value type="bool" key="RunConfiguration.Arguments.multi">false</value>
+    <value type="QString" key="RunConfiguration.OverrideDebuggerStartup"></value>
+    <value type="bool" key="RunConfiguration.UseCppDebugger">false</value>
+    <value type="bool" key="RunConfiguration.UseCppDebuggerAuto">true</value>
+    <value type="bool" key="RunConfiguration.UseMultiProcess">false</value>
+    <value type="bool" key="RunConfiguration.UseQmlDebugger">false</value>
+    <value type="bool" key="RunConfiguration.UseQmlDebuggerAuto">true</value>
+    <value type="QString" key="RunConfiguration.WorkingDirectory"></value>
+    <value type="QString" key="RunConfiguration.WorkingDirectory.default"></value>
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+ <data>
+  <variable>ProjectExplorer.Project.TargetCount</variable>
+  <value type="int">1</value>
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+ <data>
+  <variable>ProjectExplorer.Project.Updater.FileVersion</variable>
+  <value type="int">22</value>
+ </data>
+ <data>
+  <variable>Version</variable>
+  <value type="int">22</value>
+ </data>
+</qtcreator>
--- a/src/video2x_gui.ui
+++ b/src/video2x_gui.ui
--- a/src/video2x_setup.py
+++ b/src/video2x_setup.py
@@ -4,7 +4,7 @@
 Name: Video2X Setup Script
 Creator: K4YT3X
 Date Created: November 28, 2018
-Last Modified: January 4, 2020
+Last Modified: May 8, 2020

 Editor: BrianPetkovsek
 Editor: SAT3LL
@@ -17,7 +17,8 @@ Installation Details:
 - waifu2x-caffe: %LOCALAPPDATA%\\video2x\\waifu2x-caffe
 - waifu2x-cpp-converter: %LOCALAPPDATA%\\video2x\\waifu2x-converter-cpp
 - waifu2x_ncnn_vulkan: %LOCALAPPDATA%\\video2x\\waifu2x-ncnn-vulkan
- anime4k: %LOCALAPPDATA%\\video2x\\anime4k
+- anime4kcpp: %LOCALAPPDATA%\\video2x\\anime4kcpp
+- srmd_ncnn_vulkan: %LOCALAPPDATA%\\video2x\\srmd-ncnn-vulkan
 """

 # built-in imports
@@ -41,12 +42,12 @@ import zipfile
 # later in the script.
 # import requests

-VERSION = '1.6.1'
+VERSION = '1.8.0'

 # global static variables
 LOCALAPPDATA = pathlib.Path(os.getenv('localappdata'))
-VIDEO2X_CONFIG = pathlib.Path(sys.argv[0]).parent.absolute() / 'video2x.yaml'
-DRIVER_OPTIONS = ['all', 'waifu2x_caffe', 'waifu2x_converter', 'waifu2x_ncnn_vulkan', 'anime4k']
+VIDEO2X_CONFIG = pathlib.Path(__file__).parent.absolute() / 'video2x.yaml'
+DRIVER_OPTIONS = ['all', 'ffmpeg', 'waifu2x_caffe', 'waifu2x_converter_cpp', 'waifu2x_ncnn_vulkan', 'anime4kcpp', 'srmd_ncnn_vulkan']


 def parse_arguments():
@@ -79,22 +80,25 @@ class Video2xSetup:
            print('\nInstalling Python libraries')
            self._install_python_requirements()

-        print('\nInstalling FFmpeg')
-        self._install_ffmpeg()
-
        if self.driver == 'all':
+            self._install_ffmpeg()
            self._install_waifu2x_caffe()
            self._install_waifu2x_converter_cpp()
            self._install_waifu2x_ncnn_vulkan()
-            self._install_anime4k()
+            self._install_anime4kcpp()
+            self._install_srmd_ncnn_vulkan()
+        elif self.driver == 'ffmpeg':
+            self._install_ffmpeg()
        elif self.driver == 'waifu2x_caffe':
            self._install_waifu2x_caffe()
-        elif self.driver == 'waifu2x_converter':
+        elif self.driver == 'waifu2x_converter_cpp':
            self._install_waifu2x_converter_cpp()
        elif self.driver == 'waifu2x_ncnn_vulkan':
            self._install_waifu2x_ncnn_vulkan()
-        elif self.driver == 'anime4k':
-            self._install_anime4k()
+        elif self.driver == 'anime4kcpp':
+            self._install_anime4kcpp()
+        elif self.driver == 'srmd_ncnn_vulkan':
+            self._install_srmd_ncnn_vulkan()

        print('\nGenerating Video2X configuration file')
        self._generate_config()
@@ -125,6 +129,8 @@ class Video2xSetup:
    def _install_ffmpeg(self):
        """ Install FFMPEG
        """
+        print('\nInstalling FFmpeg')
+
        latest_release = 'https://ffmpeg.zeranoe.com/builds/win64/static/ffmpeg-latest-win64-static.zip'

        ffmpeg_zip = download(latest_release, tempfile.gettempdir())
@@ -193,33 +199,54 @@ class Video2xSetup:
            # rename the newly extracted directory
            (LOCALAPPDATA / 'video2x' / zipf.namelist()[0]).rename(waifu2x_ncnn_vulkan_directory)

-    def _install_anime4k(self):
-        """ Install Anime4K
+    def _install_anime4kcpp(self):
+        """ Install Anime4KCPP
        """
-        print('\nInstalling Anime4K')
+        print('\nInstalling Anime4KCPP')

-        """
+        import pyunpack
        import requests

-        # get latest release of Anime4K via Github API
-        # at the time of writing this portion, Anime4K doesn't yet have a stable release
+        # get latest release of Anime4KCPP via Github API
+        # at the time of writing this portion, Anime4KCPP doesn't yet have a stable release
        # therefore releases/latest won't work
-        latest_release = requests.get('https://api.github.com/repos/bloc97/Anime4K/releases').json()[0]
+        latest_release = requests.get('https://api.github.com/repos/TianZerL/Anime4KCPP/releases/latest').json()

        for a in latest_release['assets']:
-            if 'Anime4K_Java.zip' in a['browser_download_url']:
-                anime4k_zip = download(a['browser_download_url'], tempfile.gettempdir())
-                self.trash.append(anime4k_zip)
-        """
-
-        # since Java pre-compiled release has been removed from download
-        # page, we use this cached version as a temporary solution
-        anime4k_zip = download('https://files.flexio.org/Resources/anime4k.zip', tempfile.gettempdir())
-        self.trash.append(anime4k_zip)
+            if re.search(r'Anime4KCPP_CLI-.*-Win64-msvc\.7z', a['browser_download_url']):
+                anime4kcpp_zip = download(a['browser_download_url'], tempfile.gettempdir())
+                self.trash.append(anime4kcpp_zip)

        # extract and rename
-        with zipfile.ZipFile(anime4k_zip) as zipf:
-            zipf.extractall(LOCALAPPDATA / 'video2x' / 'anime4k')
+        # with py7zr.SevenZipFile(anime4kcpp_zip, mode='r') as archive:
+        (LOCALAPPDATA / 'video2x' / 'anime4kcpp').mkdir(parents=True, exist_ok=True)
+        pyunpack.Archive(anime4kcpp_zip).extractall(LOCALAPPDATA / 'video2x' / 'anime4kcpp')
+
+    def _install_srmd_ncnn_vulkan(self):
+        """ Install srmd-ncnn-vulkan
+        """
+        print('\nInstalling srmd-ncnn-vulkan')
+        import requests
+
+        # Get latest release of srmd-ncnn-vulkan via Github API
+        latest_release = requests.get('https://api.github.com/repos/nihui/srmd-ncnn-vulkan/releases/latest').json()
+
+        for a in latest_release['assets']:
+            if re.search(r'srmd-ncnn-vulkan-\d*\.zip', a['browser_download_url']):
+                srmd_ncnn_vulkan_zip = download(a['browser_download_url'], tempfile.gettempdir())
+                self.trash.append(srmd_ncnn_vulkan_zip)
+
+        # extract and rename
+        srmd_ncnn_vulkan_directory = LOCALAPPDATA / 'video2x' / 'srmd-ncnn-vulkan'
+        with zipfile.ZipFile(srmd_ncnn_vulkan_zip) as zipf:
+            zipf.extractall(LOCALAPPDATA / 'video2x')
+
+            # if directory already exists, remove it
+            if srmd_ncnn_vulkan_directory.exists():
+                shutil.rmtree(srmd_ncnn_vulkan_directory)
+
+            # rename the newly extracted directory
+            (LOCALAPPDATA / 'video2x' / zipf.namelist()[0]).rename(srmd_ncnn_vulkan_directory)

    def _generate_config(self):
        """ Generate video2x config
@@ -233,18 +260,21 @@ class Video2xSetup:

        # configure only the specified drivers
        if self.driver == 'all':
-            template_dict['waifu2x_caffe']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-caffe' / 'waifu2x-caffe-cui.exe')
-            template_dict['waifu2x_converter']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp')
-            template_dict['waifu2x_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan' / 'waifu2x-ncnn-vulkan.exe')
-            template_dict['anime4k']['path'] = str(LOCALAPPDATA / 'video2x' / 'anime4k' / 'Anime4K.jar')
+            template_dict['waifu2x_caffe']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-caffe' / 'waifu2x-caffe-cui')
+            template_dict['waifu2x_converter_cpp']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp' / 'waifu2x-converter-cpp')
+            template_dict['waifu2x_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan' / 'waifu2x-ncnn-vulkan')
+            template_dict['srmd_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'srmd-ncnn-vulkan' / 'srmd-ncnn-vulkan')
+            template_dict['anime4kcpp']['path'] = str(LOCALAPPDATA / 'video2x' / 'anime4kcpp' / 'CLI' / 'Anime4KCPP_CLI' / 'Anime4KCPP_CLI')
        elif self.driver == 'waifu2x_caffe':
-            template_dict['waifu2x_caffe']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-caffe' / 'waifu2x-caffe-cui.exe')
-        elif self.driver == 'waifu2x_converter':
-            template_dict['waifu2x_converter']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp')
+            template_dict['waifu2x_caffe']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-caffe' / 'waifu2x-caffe-cui')
+        elif self.driver == 'waifu2x_converter_cpp':
+            template_dict['waifu2x_converter_cpp']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp' / 'waifu2x-converter-cpp')
        elif self.driver == 'waifu2x_ncnn_vulkan':
-            template_dict['waifu2x_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan' / 'waifu2x-ncnn-vulkan.exe')
-        elif self.driver == 'anime4k':
-            template_dict['anime4k']['path'] = str(LOCALAPPDATA / 'video2x' / 'anime4k' / 'Anime4K.jar')
+            template_dict['waifu2x_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan' / 'waifu2x-ncnn-vulkan')
+        elif self.driver == 'srmd_ncnn_vulkan':
+            template_dict['srmd_ncnn_vulkan']['path'] = str(LOCALAPPDATA / 'video2x' / 'srmd-ncnn-vulkan' / 'srmd-ncnn-vulkan')
+        elif self.driver == 'anime4kcpp':
+            template_dict['anime4kcpp']['path'] = str(LOCALAPPDATA / 'video2x' / 'anime4kcpp' / 'CLI' / 'Anime4KCPP_CLI' / 'Anime4KCPP_CLI')

        template_dict['ffmpeg']['ffmpeg_path'] = str(LOCALAPPDATA / 'video2x' / 'ffmpeg-latest-win64-static' / 'bin')
        template_dict['video2x']['video2x_cache_directory'] = None
--- a/src/waifu2x_caffe.py
+++ b/src/waifu2x_caffe.py
@@ -1,98 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x Caffe Driver
-Author: K4YT3X
-Date Created: Feb 24, 2018
-Last Modified: October 6, 2019
-
-Description: This class is a high-level wrapper
-for waifu2x-caffe.
-"""
-
-# built-in imports
-import subprocess
-import threading
-
-# third-party imports
-from avalon_framework import Avalon
-
-
-class Waifu2xCaffe:
-    """This class communicates with waifu2x cui 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, driver_settings, process, model_dir, bit_depth):
-        self.driver_settings = driver_settings
-        self.driver_settings['process'] = process
-        self.driver_settings['model_dir'] = model_dir
-        self.driver_settings['output_depth'] = bit_depth
-
-        # 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, input_directory, output_directory, scale_ratio, scale_width, scale_height, image_format, upscaler_exceptions):
-        """This is the core function for WAIFU2X class
-
-        Arguments:
-            input_directory {string} -- source directory path
-            output_directory {string} -- output directory path
-            width {int} -- output video width
-            height {int} -- output video height
-        """
-
-        try:
-            # overwrite config file settings
-            self.driver_settings['input_path'] = input_directory
-            self.driver_settings['output_path'] = output_directory
-
-            if scale_ratio:
-                self.driver_settings['scale_ratio'] = scale_ratio
-            elif scale_width and scale_height:
-                self.driver_settings['scale_width'] = scale_width
-                self.driver_settings['scale_height'] = scale_height
-
-            self.driver_settings['output_extention'] = image_format
-
-            # print thread start message
-            self.print_lock.acquire()
-            Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
-            self.print_lock.release()
-
-            # list to be executed
-            # initialize the list with waifu2x binary path as the first element
-            execute = [str(self.driver_settings['path'])]
-
-            for key in self.driver_settings.keys():
-
-                value = self.driver_settings[key]
-
-                # is executable key or null or None means that leave this option out (keep default)
-                if key == 'path' or value is None or value is False:
-                    continue
-                else:
-                    if len(key) == 1:
-                        execute.append(f'-{key}')
-                    else:
-                        execute.append(f'--{key}')
-                    execute.append(str(value))
-
-            Avalon.debug_info(f'Executing: {execute}')
-            completed_command = subprocess.run(execute, check=True)
-
-            # print thread exiting message
-            self.print_lock.acquire()
-            Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
-            self.print_lock.release()
-
-            # return command execution return code
-            return completed_command.returncode
-        except Exception as e:
-            upscaler_exceptions.append(e)
--- a/src/waifu2x_converter.py
+++ b/src/waifu2x_converter.py
@@ -1,96 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x Converter CPP Driver
-Author: K4YT3X
-Date Created: February 8, 2019
-Last Modified: October 6, 2019
-
-Description: This class is a high-level wrapper
-for waifu2x-converter-cpp.
-"""
-
-# built-in imports
-import pathlib
-import subprocess
-import threading
-
-# third-party imports
-from avalon_framework import Avalon
-
-
-class Waifu2xConverter:
-    """This class communicates with waifu2x cui 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, driver_settings, model_dir):
-        self.driver_settings = driver_settings
-        self.driver_settings['model_dir'] = model_dir
-        self.print_lock = threading.Lock()
-
-    def upscale(self, input_directory, output_directory, scale_ratio, jobs, image_format, upscaler_exceptions):
-        """ Waifu2x Converter Driver Upscaler
-        This method executes the upscaling of extracted frames.
-
-        Arguments:
-            input_directory {string} -- source directory path
-            output_directory {string} -- output directory path
-            scale_ratio {int} -- frames' scale ratio
-            threads {int} -- number of threads
-        """
-
-        try:
-            # overwrite config file settings
-            self.driver_settings['input'] = input_directory
-            self.driver_settings['output'] = output_directory
-            self.driver_settings['scale-ratio'] = scale_ratio
-            self.driver_settings['jobs'] = jobs
-            self.driver_settings['output-format'] = image_format
-
-            # models_rgb must be specified manually for waifu2x-converter-cpp
-            # if it's not specified in the arguments, create automatically
-            if self.driver_settings['model-dir'] is None:
-                self.driver_settings['model-dir'] = pathlib.Path(self.driver_settings['waifu2x_converter_path']) / 'models_rgb'
-
-            # print thread start message
-            self.print_lock.acquire()
-            Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
-            self.print_lock.release()
-
-            # list to be executed
-            # initialize the list with waifu2x binary path as the first element
-            execute = [str(pathlib.Path(self.driver_settings['path']) / 'waifu2x-converter-cpp.exe')]
-
-            for key in self.driver_settings.keys():
-
-                value = self.driver_settings[key]
-
-                # the key doesn't need to be passed in this case
-                if key == 'path':
-                    continue
-
-                # 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(f'-{key}')
-                    else:
-                        execute.append(f'--{key}')
-
-                    # true means key is an option
-                    if value is True:
-                        continue
-
-                    execute.append(str(value))
-
-            Avalon.debug_info(f'Executing: {execute}')
-            return subprocess.run(execute, check=True).returncode
-
-        except Exception as e:
-            upscaler_exceptions.append(e)
--- a/src/waifu2x_ncnn_vulkan.py
+++ b/src/waifu2x_ncnn_vulkan.py
@@ -1,94 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x NCNN Vulkan Driver
-Creator: SAT3LL
-Date Created: June 26, 2019
-Last Modified: November 15, 2019
-
-Editor: K4YT3X
-Last Modified: January 4, 2020
-
-Description: This class is a high-level wrapper
-for waifu2x_ncnn_vulkan.
-"""
-
-# built-in imports
-import os
-import subprocess
-import threading
-
-# third-party imports
-from avalon_framework import Avalon
-
-
-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, driver_settings):
-        self.driver_settings = driver_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.driver_settings['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.driver_settings['i'] = input_directory
-            self.driver_settings['o'] = output_directory
-            self.driver_settings['s'] = int(scale_ratio)
-
-            # print thread start message
-            self.print_lock.acquire()
-            Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} started')
-            self.print_lock.release()
-
-            # list to be executed
-            # initialize the list with waifu2x binary path as the first element
-            execute = [str(self.driver_settings['path'])]
-
-            for key in self.driver_settings.keys():
-
-                value = self.driver_settings[key]
-
-                # is executable key or null or None means that leave this option out (keep default)
-                if key == 'path' or value is None or value is False:
-                    continue
-                else:
-                    if len(key) == 1:
-                        execute.append(f'-{key}')
-                    else:
-                        execute.append(f'--{key}')
-                    execute.append(str(value))
-
-            Avalon.debug_info(f'Executing: {execute}')
-            completed_command = subprocess.run(execute, check=True)
-
-            # print thread exiting message
-            self.print_lock.acquire()
-            Avalon.debug_info(f'[upscaler] Thread {threading.current_thread().name} exiting')
-            self.print_lock.release()
-
-            # return command execution return code
-            return completed_command.returncode
-        except Exception as e:
-            upscaler_exceptions.append(e)
--- a/src/wrappers/anime4kcpp.py
+++ b/src/wrappers/anime4kcpp.py
@@ -0,0 +1,116 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: Waifu2x Caffe Driver
+Author: K4YT3X
+Date Created: May 3, 2020
+Last Modified: May 11, 2020
+
+Description: This class is a high-level wrapper
+for waifu2x-caffe.
+"""
+
+# built-in imports
+import argparse
+import os
+import pathlib
+import platform
+import shlex
+import subprocess
+import threading
+
+# third-party imports
+from avalon_framework import Avalon
+
+
+class WrapperMain:
+    """ Anime4K CPP wrapper
+    """
+
+    def __init__(self, driver_settings):
+        self.driver_settings = driver_settings
+        self.print_lock = threading.Lock()
+
+    @staticmethod
+    def zero_to_one_float(value):
+        value = float(value)
+        if value < 0.0 or value > 1.0:
+            raise argparse.ArgumentTypeError(f'{value} is not between 0.0 and 1.0')
+        return value
+
+    @staticmethod
+    def parse_arguments(arguments):
+        parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
+        parser.error = lambda message: (_ for _ in ()).throw(AttributeError(message))
+        parser.add_argument('--help', action='help', help='show this help message and exit')
+        parser.add_argument('-i', '--input', type=str, help=argparse.SUPPRESS)  # help='File for loading')
+        parser.add_argument('-o', '--output', type=str, help=argparse.SUPPRESS)  # help='File for outputting')
+        parser.add_argument('-p', '--passes', type=int, help='Passes for processing')
+        parser.add_argument('-n', '--pushColorCount', type=int, help='Limit the number of color pushes')
+        parser.add_argument('-c', '--strengthColor', type=WrapperMain.zero_to_one_float, help='Strength for pushing color,range 0 to 1,higher for thinner')
+        parser.add_argument('-g', '--strengthGradient', type=WrapperMain.zero_to_one_float, help='Strength for pushing gradient,range 0 to 1,higher for sharper')
+        parser.add_argument('-z', '--zoomFactor', type=float, help='zoom factor for resizing')
+        parser.add_argument('-t', '--threads', type=int, help='Threads count for video processing')
+        parser.add_argument('-f', '--fastMode', action='store_true', help='Faster but maybe low quality')
+        parser.add_argument('-v', '--videoMode', action='store_true', help='Video process')
+        parser.add_argument('-s', '--preview', action='store_true', help='Preview image')
+        parser.add_argument('-b', '--preprocessing', action='store_true', help='Enable pre processing')
+        parser.add_argument('-a', '--postprocessing', action='store_true', help='Enable post processing')
+        parser.add_argument('-r', '--preFilters', type=int, help='Enhancement filter, only working when preProcessing is true,there are 5 options by binary:Median blur=0000001, Mean blur=0000010, CAS Sharpening=0000100, Gaussian blur weak=0001000, Gaussian blur=0010000, Bilateral filter=0100000, Bilateral filter faster=1000000, you can freely combine them, eg: Gaussian blur weak + Bilateral filter = 0001000 | 0100000 = 0101000 = 40(D)')
+        parser.add_argument('-e', '--postFilters', type=int, help='Enhancement filter, only working when postProcessing is true,there are 5 options by binary:Median blur=0000001, Mean blur=0000010, CAS Sharpening=0000100, Gaussian blur weak=0001000, Gaussian blur=0010000, Bilateral filter=0100000, Bilateral filter faster=1000000, you can freely combine them, eg: Gaussian blur weak + Bilateral filter = 0001000 | 0100000 = 0101000 = 40(D), so you can put 40 to enable Gaussian blur weak and Bilateral filter, which also is what I recommend for image that < 1080P, 48 for image that >= 1080P, and for performance I recommend to use 72 for video that < 1080P, 80 for video that >=1080P')
+        parser.add_argument('-q', '--GPUMode', action='store_true', help='Enable GPU acceleration')
+        parser.add_argument('-l', '--listGPUs', action='store_true', help='list GPUs')
+        parser.add_argument('-h', '--platformID', type=int, help='Specify the platform ID')
+        parser.add_argument('-d', '--deviceID', type=int, help='Specify the device ID')
+        parser.add_argument('-C', '--codec', type=str, help='Specify the codec for encoding from mp4v(recommended in Windows), dxva(for Windows), avc1(H264, recommended in Linux), vp09(very slow), hevc(not support in Windowds), av01(not support in Windowds) (string [=mp4v])')
+        return parser.parse_args(arguments)
+
+    def load_configurations(self, upscaler):
+        self.driver_settings['zoomFactor'] = upscaler.scale_ratio
+        self.driver_settings['threads'] = upscaler.processes
+
+    def upscale(self, input_file, output_file):
+        """This is the core function for WAIFU2X class
+
+        Arguments:
+            input_file {string} -- source directory path
+            output_file {string} -- output directory path
+            width {int} -- output video width
+            height {int} -- output video height
+        """
+
+        # overwrite config file settings
+        self.driver_settings['input'] = input_file
+        self.driver_settings['output'] = output_file
+
+        # Anime4KCPP will look for Anime4KCPPKernel.cl under the current working directory
+        # change the CWD to its containing directory so it will find it
+        if platform.system() == 'Windows':
+            os.chdir(pathlib.Path(self.driver_settings['path']).parent)
+
+        # list to be executed
+        # initialize the list with waifu2x binary path as the first element
+        execute = [self.driver_settings.pop('path')]
+
+        for key in self.driver_settings.keys():
+
+            value = self.driver_settings[key]
+
+            # null or None means that leave this option out (keep default)
+            if value is None or value is False:
+                continue
+            else:
+                if len(key) == 1:
+                    execute.append(f'-{key}')
+                else:
+                    execute.append(f'--{key}')
+
+                # true means key is an option
+                if value is not True:
+                    execute.append(str(value))
+
+        # return the Popen object of the new process created
+        self.print_lock.acquire()
+        Avalon.debug_info(f'[upscaler] Subprocess {os.getpid()} executing: {shlex.join(execute)}')
+        self.print_lock.release()
+        return subprocess.Popen(execute)
--- a/src/wrappers/ffmpeg.py
+++ b/src/wrappers/ffmpeg.py
@@ -4,7 +4,7 @@
 Name: Video2X FFmpeg Controller
 Author: K4YT3X
 Date Created: Feb 24, 2018
-Last Modified: November 15, 2019
+Last Modified: May 9, 2020

 Description: This class handles all FFmpeg related operations.
 """
@@ -32,7 +32,10 @@ class Ffmpeg:
        self.ffmpeg_path = pathlib.Path(self.ffmpeg_settings['ffmpeg_path'])
        self.ffmpeg_binary = self.ffmpeg_path / 'ffmpeg'
        self.ffmpeg_probe_binary = self.ffmpeg_path / 'ffprobe'
+
+        # video metadata
        self.image_format = image_format
+        self.intermediate_file_name = pathlib.Path(self.ffmpeg_settings['intermediate_file_name'])
        self.pixel_format = None

    def get_pixel_formats(self):
@@ -131,9 +134,9 @@ class Ffmpeg:
            extracted_frames / f'extracted_%0d.{self.image_format}'
        ])

-        self._execute(execute)
+        return(self._execute(execute))

-    def convert_video(self, framerate, resolution, upscaled_frames):
+    def assemble_video(self, framerate, resolution, upscaled_frames):
        """Converts images into videos

        This method converts a set of images into a video
@@ -177,12 +180,12 @@ class Ffmpeg:

        # specify output file location
        execute.extend([
-            upscaled_frames / 'no_audio.mp4'
+            upscaled_frames / self.intermediate_file_name
        ])

-        self._execute(execute)
+        return(self._execute(execute))

-    def migrate_audio_tracks_subtitles(self, input_video, output_video, upscaled_frames):
+    def migrate_streams(self, input_video, output_video, upscaled_frames):
        """ Migrates audio tracks and subtitles from input video to output video

        Arguments:
@@ -198,7 +201,7 @@ class Ffmpeg:

        execute.extend([
            '-i',
-            upscaled_frames / 'no_audio.mp4',
+            upscaled_frames / self.intermediate_file_name,
            '-i',
            input_video
        ])
@@ -209,7 +212,7 @@ class Ffmpeg:
            output_video
        ])

-        self._execute(execute)
+        return(self._execute(execute))

    def _read_configuration(self, phase, section=None):
        """ read configuration from JSON
@@ -284,4 +287,4 @@ class Ffmpeg:

        Avalon.debug_info(f'Executing: {execute}')

-        return subprocess.run(execute, check=True).returncode
+        return subprocess.Popen(execute)
--- a/src/wrappers/srmd_ncnn_vulkan.py
+++ b/src/wrappers/srmd_ncnn_vulkan.py
@@ -0,0 +1,103 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: SRMD NCNN Vulkan Driver
+Creator: K4YT3X
+Date Created: April 26, 2020
+Last Modified: May 11, 2020
+
+Description: This class is a high-level wrapper
+for srmd_ncnn_vulkan.
+"""
+
+# built-in imports
+import argparse
+import os
+import pathlib
+import platform
+import shlex
+import subprocess
+import threading
+
+# third-party imports
+from avalon_framework import Avalon
+
+
+class WrapperMain:
+    """This class communicates with SRMD 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, driver_settings):
+        self.driver_settings = driver_settings
+        self.print_lock = threading.Lock()
+
+    @staticmethod
+    def parse_arguments(arguments):
+        parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
+        parser.error = lambda message: (_ for _ in ()).throw(AttributeError(message))
+        parser.add_argument('--help', action='help', help='show this help message and exit')
+        parser.add_argument('-v', action='store_true', help='verbose output')
+        parser.add_argument('-i', type=str, help=argparse.SUPPRESS)  # help='input image path (jpg/png) or directory')
+        parser.add_argument('-o', type=str, help=argparse.SUPPRESS)  # help='output image path (png) or directory')
+        parser.add_argument('-n', type=int, choices=range(-1, 11), help='denoise level')
+        parser.add_argument('-s', type=int, choices=range(2, 5), help='upscale ratio')
+        parser.add_argument('-t', type=int, help='tile size (>=32)')
+        parser.add_argument('-m', type=str, help='srmd model path')
+        parser.add_argument('-g', type=int, help='gpu device to use')
+        parser.add_argument('-j', type=str, help='thread count for load/proc/save')
+        parser.add_argument('-x', action='store_true', help='enable tta mode')
+        return parser.parse_args(arguments)
+
+    def load_configurations(self, upscaler):
+        self.driver_settings['s'] = int(upscaler.scale_ratio)
+        self.driver_settings['j'] = '{}:{}:{}'.format(upscaler.processes, upscaler.processes, upscaler.processes)
+
+    def upscale(self, input_directory, output_directory):
+        """This is the core function for SRMD ncnn Vulkan class
+
+        Arguments:
+            input_directory {string} -- source directory path
+            output_directory {string} -- output directory path
+            ratio {int} -- output video ratio
+        """
+
+        # overwrite config file settings
+        self.driver_settings['i'] = input_directory
+        self.driver_settings['o'] = output_directory
+
+        # by default, srmd-ncnn-vulkan will look for the models under the current working directory
+        # change the working directory to its containing folder if model directory not specified
+        if self.driver_settings['m'] is None and platform.system() == 'Windows':
+            os.chdir(pathlib.Path(self.driver_settings['path']).parent)
+
+        # list to be executed
+        # initialize the list with the binary path as the first element
+        execute = [self.driver_settings.pop('path')]
+
+        for key in self.driver_settings.keys():
+
+            value = self.driver_settings[key]
+
+            # null or None means that leave this option out (keep default)
+            if value is None or value is False:
+                continue
+            else:
+                if len(key) == 1:
+                    execute.append(f'-{key}')
+                else:
+                    execute.append(f'--{key}')
+
+                # true means key is an option
+                if value is not True:
+                    execute.append(str(value))
+
+        # return the Popen object of the new process created
+        self.print_lock.acquire()
+        Avalon.debug_info(f'[upscaler] Subprocess {os.getpid()} executing: {shlex.join(execute)}')
+        self.print_lock.release()
+        return subprocess.Popen(execute)
--- a/src/wrappers/waifu2x_caffe.py
+++ b/src/wrappers/waifu2x_caffe.py
@@ -0,0 +1,105 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: Waifu2x Caffe Driver
+Author: K4YT3X
+Date Created: Feb 24, 2018
+Last Modified: May 11, 2020
+
+Description: This class is a high-level wrapper
+for waifu2x-caffe.
+"""
+
+# built-in imports
+import argparse
+import os
+import shlex
+import subprocess
+import threading
+
+# third-party imports
+from avalon_framework import Avalon
+
+
+class WrapperMain:
+    """This class communicates with waifu2x cui 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, driver_settings):
+        self.driver_settings = driver_settings
+        self.print_lock = threading.Lock()
+
+    @staticmethod
+    def parse_arguments(arguments):
+        parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
+        parser.error = lambda message: (_ for _ in ()).throw(AttributeError(message))
+        parser.add_argument('--help', action='help', help='show this help message and exit')
+        parser.add_argument('-t', '--tta', type=int, choices=range(2), help='8x slower and slightly high quality')
+        parser.add_argument('--gpu', type=int, help='gpu device no')
+        parser.add_argument('-b', '--batch_size', type=int, help='input batch size')
+        parser.add_argument('--crop_h', type=int, help='input image split size(height)')
+        parser.add_argument('--crop_w', type=int, help='input image split size(width)')
+        parser.add_argument('-c', '--crop_size', type=int, help='input image split size')
+        parser.add_argument('-d', '--output_depth', type=int, help='output image chaneel depth bit')
+        parser.add_argument('-q', '--output_quality', type=int, help='output image quality')
+        parser.add_argument('-p', '--process', choices=['cpu', 'gpu', 'cudnn'], help='process mode')
+        parser.add_argument('--model_dir', type=str, help='path to custom model directory (don\'t append last / )')
+        parser.add_argument('-h', '--scale_height', type=int, help='custom scale height')
+        parser.add_argument('-w', '--scale_width', type=int, help='custom scale width')
+        parser.add_argument('-s', '--scale_ratio', type=float, help='custom scale ratio')
+        parser.add_argument('-n', '--noise_level', type=int, choices=range(4), help='noise reduction level')
+        parser.add_argument('-m', '--mode', choices=['noise', 'scale', 'noise_scale', 'auto_scale'], help='image processing mode')
+        parser.add_argument('-e', '--output_extention', type=str, help='extention to output image file when output_path is (auto) or input_path is folder')
+        parser.add_argument('-l', '--input_extention_list', type=str, help='extention to input image file when input_path is folder')
+        parser.add_argument('-o', '--output', type=str, help=argparse.SUPPRESS)  # help='path to output image file (when input_path is folder, output_path must be folder)')
+        parser.add_argument('-i', '--input_file', type=str, help=argparse.SUPPRESS)  # help='(required) path to input image file')
+        return parser.parse_args(arguments)
+
+    def load_configurations(self, upscaler):
+        # use scale width and scale height if specified
+        self.driver_settings['scale_ratio'] = upscaler.scale_ratio
+        self.driver_settings['output_extention'] = upscaler.image_format
+
+        # bit_depth will be 12 at this point
+        # it will up updated later
+        self.driver_settings['output_depth'] = 12
+
+    def upscale(self, input_directory, output_directory):
+        """ start upscaling process
+        """
+
+        # overwrite config file settings
+        self.driver_settings['input_path'] = input_directory
+        self.driver_settings['output_path'] = output_directory
+
+        # list to be executed
+        # initialize the list with waifu2x binary path as the first element
+        execute = [self.driver_settings.pop('path')]
+
+        for key in self.driver_settings.keys():
+
+            value = self.driver_settings[key]
+
+            # null or None means that leave this option out (keep default)
+            if value is None or value is False:
+                continue
+            else:
+                if len(key) == 1:
+                    execute.append(f'-{key}')
+                else:
+                    execute.append(f'--{key}')
+
+                # true means key is an option
+                if value is not True:
+                    execute.append(str(value))
+
+        # return the Popen object of the new process created
+        self.print_lock.acquire()
+        Avalon.debug_info(f'[upscaler] Subprocess {os.getpid()} executing: {shlex.join(execute)}')
+        self.print_lock.release()
+        return subprocess.Popen(execute)
--- a/src/wrappers/waifu2x_converter_cpp.py
+++ b/src/wrappers/waifu2x_converter_cpp.py
@@ -0,0 +1,119 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: Waifu2x Converter CPP Driver
+Author: K4YT3X
+Date Created: February 8, 2019
+Last Modified: May 11, 2020
+
+Description: This class is a high-level wrapper
+for waifu2x-converter-cpp.
+"""
+
+# built-in imports
+import argparse
+import os
+import pathlib
+import shlex
+import subprocess
+import threading
+
+# third-party imports
+from avalon_framework import Avalon
+
+
+class WrapperMain:
+    """This class communicates with waifu2x cui 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, driver_settings):
+        self.driver_settings = driver_settings
+        self.print_lock = threading.Lock()
+
+    @staticmethod
+    def parse_arguments(arguments):
+        parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
+        parser.error = lambda message: (_ for _ in ()).throw(AttributeError(message))
+        parser.add_argument('--help', action='help', help='show this help message and exit')
+        parser.add_argument('--list-supported-formats', action='store_true', help='dump currently supported format list')
+        parser.add_argument('--list-opencv-formats', action='store_true', help='(deprecated. Use --list-supported-formats) dump opencv supported format list')
+        parser.add_argument('-l', '--list-processor', action='store_true', help='dump processor list')
+        parser.add_argument('-f', '--output-format', choices=['png', 'jpg'], help='The format used when running in recursive/folder mode\nSee --list-supported-formats for a list of supported formats/extensions.')
+        parser.add_argument('-c', '--png-compression', type=int, choices=range(10), help='Set PNG compression level (0-9), 9 = Max compression (slowest & smallest)')
+        parser.add_argument('-q', '--image-quality', type=int, choices=range(-1, 102), help='JPEG & WebP Compression quality (0-101, 0 being smallest size and lowest quality), use 101 for lossless WebP')
+        parser.add_argument('--block-size', type=int, help='block size')
+        parser.add_argument('--disable-gpu', action='store_true', help='disable GPU')
+        parser.add_argument('--force-OpenCL', action='store_true', help='force to use OpenCL on Intel Platform')
+        parser.add_argument('-p', '--processor', type=int, help='set target processor')
+        parser.add_argument('-j', '--jobs', type=int, help='number of threads launching at the same time')
+        parser.add_argument('--model-dir', type=str, help='path to custom model directory (don\'t append last / )')
+        parser.add_argument('--scale-ratio', type=float, help='custom scale ratio')
+        parser.add_argument('--noise-level', type=int, choices=range(4), help='noise reduction level')
+        parser.add_argument('-m', '--mode', choices=['noise', 'scale', 'noise-scale'], help='image processing mode')
+        parser.add_argument('-v', '--log-level', type=int, choices=range(5), help='Set log level')
+        parser.add_argument('-s', '--silent', action='store_true', help='Enable silent mode. (same as --log-level 1)')
+        parser.add_argument('-t', '--tta', type=int, choices=range(2), help='Enable Test-Time Augmentation mode.')
+        parser.add_argument('-g', '--generate-subdir', type=int, choices=range(2), help='Generate sub folder when recursive directory is enabled.')
+        parser.add_argument('-a', '--auto-naming', type=int, choices=range(2), help='Add postfix to output name when output path is not specified.\nSet 0 to disable this.')
+        parser.add_argument('-r', '--recursive-directory', type=int, choices=range(2), help='Search recursively through directories to find more images to process.')
+        parser.add_argument('-o', '--output', type=str, help=argparse.SUPPRESS)  # help='path to output image file or directory  (you should use the full path)')
+        parser.add_argument('-i', '--input', type=str, help=argparse.SUPPRESS)  # help='(required)  path to input image file or directory (you should use the full path)')
+        parser.add_argument('--version', action='store_true', help='Displays version information and exits.')
+        return parser.parse_args(arguments)
+
+    def load_configurations(self, upscaler):
+        self.driver_settings['scale-ratio'] = upscaler.scale_ratio
+        self.driver_settings['jobs'] = upscaler.processes
+        self.driver_settings['output-format'] = upscaler.image_format.lower()
+
+    def upscale(self, input_directory, output_directory):
+        """ Waifu2x Converter Driver Upscaler
+        This method executes the upscaling of extracted frames.
+
+        Arguments:
+            input_directory {string} -- source directory path
+            output_directory {string} -- output directory path
+            scale_ratio {int} -- frames' scale ratio
+            threads {int} -- number of threads
+        """
+
+        # overwrite config file settings
+        self.driver_settings['input'] = input_directory
+        self.driver_settings['output'] = output_directory
+
+        # models_rgb must be specified manually for waifu2x-converter-cpp
+        # if it's not specified in the arguments, create automatically
+        if self.driver_settings['model-dir'] is None:
+            self.driver_settings['model-dir'] = pathlib.Path(self.driver_settings['path']).parent / 'models_rgb'
+
+        # list to be executed
+        # initialize the list with waifu2x binary path as the first element
+        execute = [self.driver_settings.pop('path')]
+
+        for key in self.driver_settings.keys():
+
+            value = self.driver_settings[key]
+
+            # null or None means that leave this option out (keep default)
+            if value is None or value is False:
+                continue
+            else:
+                if len(key) == 1:
+                    execute.append(f'-{key}')
+                else:
+                    execute.append(f'--{key}')
+
+                # true means key is an option
+                if value is not True:
+                    execute.append(str(value))
+
+        # return the Popen object of the new process created
+        self.print_lock.acquire()
+        Avalon.debug_info(f'[upscaler] Subprocess {os.getpid()} executing: {shlex.join(execute)}')
+        self.print_lock.release()
+        return subprocess.Popen(execute)
--- a/src/wrappers/waifu2x_ncnn_vulkan.py
+++ b/src/wrappers/waifu2x_ncnn_vulkan.py
@@ -0,0 +1,106 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Name: Waifu2x NCNN Vulkan Driver
+Creator: SAT3LL
+Date Created: June 26, 2019
+Last Modified: May 11, 2020
+
+Editor: K4YT3X
+Last Modified: February 22, 2020
+
+Description: This class is a high-level wrapper
+for waifu2x_ncnn_vulkan.
+"""
+
+# built-in imports
+import argparse
+import os
+import pathlib
+import platform
+import shlex
+import subprocess
+import threading
+
+# third-party imports
+from avalon_framework import Avalon
+
+
+class WrapperMain:
+    """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, driver_settings):
+        self.driver_settings = driver_settings
+        self.print_lock = threading.Lock()
+
+    @staticmethod
+    def parse_arguments(arguments):
+        parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
+        parser.error = lambda message: (_ for _ in ()).throw(AttributeError(message))
+        parser.add_argument('--help', action='help', help='show this help message and exit')
+        parser.add_argument('-v', action='store_true', help='verbose output')
+        parser.add_argument('-i', type=str, help=argparse.SUPPRESS)  # help='input image path (jpg/png) or directory')
+        parser.add_argument('-o', type=str, help=argparse.SUPPRESS)  # help='output image path (png) or directory')
+        parser.add_argument('-n', type=int, choices=range(-1, 4), help='denoise level')
+        parser.add_argument('-s', type=int, choices=range(1, 3), help='upscale ratio')
+        parser.add_argument('-t', type=int, help='tile size (>=32)')
+        parser.add_argument('-m', type=str, help='waifu2x model path')
+        parser.add_argument('-g', type=int, help='gpu device to use')
+        parser.add_argument('-j', type=str, help='thread count for load/proc/save')
+        parser.add_argument('-x', action='store_true', help='enable tta mode')
+        return parser.parse_args(arguments)
+
+    def load_configurations(self, upscaler):
+        self.driver_settings['s'] = int(upscaler.scale_ratio)
+        self.driver_settings['j'] = '{}:{}:{}'.format(upscaler.processes, upscaler.processes, upscaler.processes)
+
+    def upscale(self, input_directory, output_directory):
+        """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
+        """
+
+        # overwrite config file settings
+        self.driver_settings['i'] = input_directory
+        self.driver_settings['o'] = output_directory
+
+        # by default, waifu2x-ncnn-vulkan will look for the models under the current working directory
+        # change the working directory to its containing folder if model directory not specified
+        if self.driver_settings['m'] is None and platform.system() == 'Windows':
+            os.chdir(pathlib.Path(self.driver_settings['path']).parent)
+
+        # list to be executed
+        # initialize the list with waifu2x binary path as the first element
+        execute = [self.driver_settings.pop('path')]
+
+        for key in self.driver_settings.keys():
+
+            value = self.driver_settings[key]
+
+            # null or None means that leave this option out (keep default)
+            if value is None or value is False:
+                continue
+            else:
+                if len(key) == 1:
+                    execute.append(f'-{key}')
+                else:
+                    execute.append(f'--{key}')
+
+                # true means key is an option
+                if value is not True:
+                    execute.append(str(value))
+
+        # return the Popen object of the new process created
+        self.print_lock.acquire()
+        Avalon.debug_info(f'[upscaler] Subprocess {os.getpid()} executing: {shlex.join(execute)}')
+        self.print_lock.release()
+        return subprocess.Popen(execute)
Author	SHA1	Message	Date
k4yt3x	5cf3271aad	added Bad Apple!! to demo videos	2020-05-11 16:24:09 -04:00
k4yt3x	bcbead4d96	updated CLI usages	2020-05-11 06:57:16 -04:00
k4yt3x	a3d0465e44	updated GUI screenshot	2020-05-11 05:32:39 -04:00
k4yt3x	995fdec5c8	updated sample video URLs	2020-05-11 05:18:00 -04:00
k4yt3x	5c3ea51ccb	updated demo video links	2020-05-11 05:13:06 -04:00
k4yt3x	a24b321088	updated translations	2020-05-11 04:41:05 -04:00
k4yt3x	a83249c670	fixed waifu2x-caffe pixel format check typo	2020-05-11 04:38:33 -04:00
k4yt3x	ab2f982a84	fixed waifu2x-caffe parsing error	2020-05-11 04:33:38 -04:00
k4yt3x	91401977da	added frame preview, redesigned driver instance initiation and argument parsing	2020-05-11 04:17:21 -04:00
k4yt3x	99971bceb1	adjusted GUI dimensions	2020-05-10 00:59:16 -04:00
k4yt3x	0c6de8af16	re-added CLI usages	2020-05-09 23:31:34 -04:00
k4yt3x	4def30f516	added prerequisites in README	2020-05-09 23:22:36 -04:00
k4yt3x	8d553ac575	added a link for download builds	2020-05-09 23:14:24 -04:00
k4yt3x	e1a1cf578b	moved badges below the icon	2020-05-09 23:13:12 -04:00
k4yt3x	4015617152	updated README for recent code updates	2020-05-09 23:12:37 -04:00
k4yt3x	648bf4fd3d	added video2x banner files	2020-05-09 23:12:20 -04:00
k4yt3x	e3ed08ff40	updated logo files	2020-05-09 22:20:40 -04:00
k4yt3x	90f807655a	better about and error dialog	2020-05-09 20:27:04 -04:00
k4yt3x	ab77d62c71	updated config file comments	2020-05-09 20:13:08 -04:00
k4yt3x	a64fabae87	added more GUI options for waifu2x-converter-cpp	2020-05-09 20:10:12 -04:00
k4yt3x	26558c6159	changed some wording in upscaler	2020-05-09 19:40:18 -04:00
k4yt3x	4fbbb20258	updated zh_CN translation files	2020-05-09 19:40:07 -04:00
k4yt3x	4659a9a9f5	changed gitignore to include translation files	2020-05-09 19:39:51 -04:00
k4yt3x	4c48af4fa4	output intermediate video-only file if stream migration fails	2020-05-09 19:30:24 -04:00
k4yt3x	4a6f90a1f0	fixing temp directory loading problem attempt 2	2020-05-09 05:49:59 -04:00
k4yt3x	2d9c5fe751	fixed custom cache path loading issues	2020-05-09 05:39:40 -04:00
k4yt3x	bef3861d3c	fixed some spelling errors in waifu2x-caffe	2020-05-09 05:39:19 -04:00
k4yt3x	bcb54b6d2c	yielding multithreading control to srmd/waifu2x-ncnn-vulkan, fixing FFmpeg framerate detection	2020-05-09 04:54:28 -04:00
k4yt3x	e82a26d44f	deleted some unused imports	2020-05-09 02:23:21 -04:00
k4yt3x	14f7f34ee3	build script displays v2x version when building	2020-05-09 01:11:03 -04:00
k4yt3x	11ba334f16	added more comments and ffmpeg Video2X signature	2020-05-09 01:01:12 -04:00
k4yt3x	c451b14bd7	fixed waifu2x-converter-cpp path error	2020-05-09 00:54:57 -04:00
k4yt3x	80623a6bb7	fixed waifu2x-converter-cpp constraints	2020-05-09 00:47:12 -04:00
k4yt3x	a5dd87a72c	updated build script to read version from args	2020-05-08 22:35:10 -04:00
k4yt3x	9b20ef89c9	fixed Anime4KCPP execution issues	2020-05-08 22:34:53 -04:00
k4yt3x	91efe2d684	updated zh_CN translation	2020-05-08 22:12:33 -04:00
k4yt3x	0d9d5c4f43	fixed progress monitor error, enhanced GUI error display	2020-05-08 22:12:24 -04:00
k4yt3x	e0e42b11c8	update qtcreator file	2020-05-08 20:29:08 -04:00
k4yt3x	790bb54598	redesigned UI progress display	2020-05-08 20:28:46 -04:00
k4yt3x	f2943802cb	upgraded input QLineEdit to QTableView	2020-05-08 17:37:16 -04:00
k4yt3x	d12f2a3888	deleted blank lines	2020-05-08 17:32:36 -04:00
k4yt3x	871d6386a8	added file drag and drop to GUI	2020-05-07 21:11:33 -04:00
k4yt3x	589a68caf7	removed some obsolete items from gitignore	2020-05-07 19:59:04 -04:00
k4yt3x	afacc48e1e	added qtcreator project file	2020-05-07 19:58:51 -04:00
k4yt3x	4a3553607b	deleted some empty lines with indentations in the project	2020-05-07 19:55:33 -04:00
k4yt3x	988600a769	fixed checkbox return value type error	2020-05-07 19:50:40 -04:00
k4yt3x	36aa3bf1d4	GUI resolve driver paths into absolute paths	2020-05-07 16:31:05 -04:00
k4yt3x	9dde3c66f1	build script 1.0.1: building into directory with name of version	2020-05-07 16:30:36 -04:00
k4yt3x	e9c1c22788	better exception handling, soft task interruption, GUI stop button, GUI folder processing, better argument checks	2020-05-07 15:58:22 -04:00
k4yt3x	134e8b7080	uncommented some keys unmanaged by v2x	2020-05-07 10:03:42 -04:00
k4yt3x	a295b4a54f	finished adding comments for all drivers	2020-05-07 09:58:25 -04:00
k4yt3x	c198082190	updated new Anime4KCPP parameters	2020-05-07 09:38:13 -04:00
k4yt3x	8f2dc43af3	updated UI for newest Anime4KCPP	2020-05-07 09:33:37 -04:00
k4yt3x	b0ce8f3ff9	added environment variable expansion support, updated for newest Anime4KCPP	2020-05-07 09:33:12 -04:00
k4yt3x	0b1f7b8422	replaced absolute paths with environment variables, updated for newest Anime4KCPP	2020-05-07 09:32:51 -04:00
k4yt3x	def20650e2	added environment variable expansion support	2020-05-07 09:32:15 -04:00
k4yt3x	7489376404	fixed srmd-ncnn-vulkan path not added issue in the setup script	2020-05-07 09:02:42 -04:00
k4yt3x	826279ce09	fixing image captions	2020-05-06 20:48:19 -04:00
k4yt3x	88d2cd9e14	updated README screenshots and added image captions	2020-05-06 20:40:35 -04:00
k4yt3x	31728ff625	added PowerShell automatic build script	2020-05-06 20:20:51 -04:00
k4yt3x	3168737fd4	added time elapsed, time remaining and speed rate	2020-05-06 20:20:38 -04:00
k4yt3x	5fbc195740	unified config path case	2020-05-06 20:19:49 -04:00
K4YT3X	40d0d79141	added a patreon badge	2020-05-06 20:03:49 +00:00
k4yt3x	37a0966bad	added binary path loading and error dialog system	2020-05-06 15:36:55 -04:00
k4yt3x	baf4c5815f	added pyqt5 into requirements	2020-05-06 14:30:59 -04:00
k4yt3x	d25a478e64	added automatic constraint update upon driver selection	2020-05-06 14:27:21 -04:00
K4YT3X	ba723c6216	enable sponsorships	2020-05-06 17:46:35 +00:00
k4yt3x	11ea8a7a21	added config descriptions for some drivers	2020-05-06 13:24:32 -04:00
k4yt3x	3bce37416b	GUI 2.0 design and basic functionalities finished	2020-05-06 13:24:10 -04:00
k4yt3x	e3cfe13b5c	fixed some bugs in GUI	2020-05-06 11:01:14 -04:00
k4yt3x	81d8ce78cb	updated default values	2020-05-06 10:40:04 -04:00
k4yt3x	89fa91c8c5	updated GUI UI file for new settings	2020-05-06 10:39:47 -04:00
k4yt3x	c8dbb90f5b	added waifu2x-caffe and waifu2x-converter-cpp settings to GUI	2020-05-06 10:39:34 -04:00
k4yt3x	685120011b	added Waifu2x-Extension-GUI into the related projects section	2020-05-06 04:57:43 -04:00
k4yt3x	82da40327b	updated Video2X GUI screenshot	2020-05-06 04:48:04 -04:00
k4yt3x	9b4fb3258a	video2x GUI 2.0.0: completely redesigned and rewritten with PyQt5	2020-05-06 04:45:48 -04:00
k4yt3x	f00a10aa91	added image files and project files	2020-05-06 04:44:36 -04:00
k4yt3x	93e8f36ffb	fixed a typo	2020-05-06 00:12:49 -04:00
k4yt3x	f10e59099c	deprecated JSON config file	2020-05-06 00:12:31 -04:00
k4yt3x	82715ade18	addressed srmd-ncnn-vulkan and waifu2x-ncnn-vulkan model path issues	2020-05-05 02:49:10 -04:00
K4YT3X	63de63e594	added master branch version badge	2020-05-05 06:29:03 +00:00
K4YT3X	8daeb862a4	updated README terminal screenshot	2020-05-05 06:26:39 +00:00
k4yt3x	be0d1f1d08	added some badges	2020-05-05 02:22:37 -04:00
k4yt3x	ec1327b5d8	updated README for version 4.0.0	2020-05-05 01:51:24 -04:00
k4yt3x	5b3e5604cc	fixed srmd-ncnn-vulkan binary path issue	2020-05-05 01:12:12 -04:00
k4yt3x	a2fc71d6c5	fixed Anime4KCPP upscaling bug	2020-05-05 01:11:50 -04:00
k4yt3x	ab684bcd48	updated default Anime4KCPP path	2020-05-05 01:11:37 -04:00
k4yt3x	d26b406813	setup script 1.8.0: added Anime4KCPP setup support	2020-05-05 01:11:26 -04:00
k4yt3x	133b837b15	added language zh_CN	2020-05-04 20:25:43 -04:00
k4yt3x	9aebc77883	removing default values for model directories for multi-platform support	2020-05-04 20:25:32 -04:00
k4yt3x	b8472f155a	added internationalization support	2020-05-04 20:25:12 -04:00
k4yt3x	19e6d241d5	fixing driver argument TypeError	2020-05-04 17:19:48 -04:00
k4yt3x	89860f22cb	4.0.0 new argument parsing mechanism and project structure	2020-05-04 17:12:41 -04:00
k4yt3x	88299d404a	removed anime4k support and added Anime4KCPP support; cleaned up the program	2020-05-03 19:20:23 -04:00
k4yt3x	0f1639ed62	adding Anime4KCPP support	2020-05-03 19:19:19 -04:00
k4yt3x	3b6462d1da	removing support for Anime4K (Java)	2020-05-03 19:19:00 -04:00
k4yt3x	43a2078330	moving wrappers into a sub-directory	2020-05-03 19:18:39 -04:00
k4yt3x	b1e844dcad	updated README for setup script 1.7.0	2020-04-26 20:12:42 -04:00
k4yt3x	becce32d3e	setup script 1.7.0: added support for srmd-ncnn-vulkan	2020-04-26 20:12:06 -04:00
k4yt3x	d2ddf32527	updated README for 3.2.0	2020-04-26 20:04:37 -04:00
k4yt3x	7224c53997	3.2.0 added SRMD NCNN Vulkan support	2020-04-26 20:01:37 -04:00
k4yt3x	2ed9bd4da6	updated configuration files for SRMD NCNN Vulkan	2020-04-26 20:00:01 -04:00
k4yt3x	38c52cdfd2	updated JSON config file to match YAML	2020-04-26 19:40:21 -04:00
k4yt3x	80579d3fa9	updated absolutify paths function	2020-04-26 13:40:22 -04:00
k4yt3x	47f94dfd6c	updated Anime4K ZIP file download URL	2020-04-24 00:22:39 -04:00
k4yt3x	c470dde5da	fixing issue #220	2020-04-04 06:24:40 -04:00
k4yt3x	c532ac3c88	updated file modification dates and editor information	2020-03-23 09:05:24 -04:00
K4YT3X	f50ceecd62	Merge pull request #214 from 28598519a/master Fix k4yt3x#211 bug	2020-03-23 08:55:16 -04:00
劃破黑夜	2ba0e951f9	Fix k4yt3x#211 bug	2020-03-17 22:01:56 +08:00
k4yt3x	5753ea8f52	updated readme for version 3.1.0	2020-02-26 22:31:51 -05:00
k4yt3x	09db8bedd0	3.1.0 switched to multi-processing and added KeyboardInterrupt support	2020-02-26 05:28:48 -05:00
k4yt3x	6a100b1526	removed multi-threading in favor of muti-processing	2020-02-26 05:27:57 -05:00
k4yt3x	a2150a8dbc	fixing progress bar error due to string case mismatch	2020-02-22 02:31:39 -05:00
k4yt3x	78ded08ed5	changed default number of threads to 1	2020-02-21 23:16:22 -05:00