removed UESR nobody as it breaks permissions

Update README.md

.github/FUNDING.yml

@@ -1,6 +1,6 @@
 # These are supported funding model platforms
 
-github: # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2]
+github: k4yt3x
 patreon: k4yt3x
 open_collective: # Replace with a single Open Collective username
 ko_fi: # Replace with a single Ko-fi username

.github/ISSUE_TEMPLATE/bug-report.md

@@ -1,32 +0,0 @@
----
-name: Bug report
-about: Use this template if you believe you've encountered a bug.
-title: ''
-labels: bug
-assignees: K4YT3X
-
----
-
-## Environment Information
-
-|Module|Version|
-|-|-|
-|`Video2X`||
-|`FFmpeg`||
-|`waifu2x-caffe`||
-|`waifu2x-converter-cpp`||
-|`waifu2x-ncnn-vulkan`||
-
-## Symptom
-
-Briefly describe what's going on.
-
-## Screenshots or Error Messages
-
-Please paste screenshots or error messages here.
-Include as much details as you can, as this greatly helps debugging the problem.
-
-Please paste your error message in the code block down below:
-
-```
-```

.github/ISSUE_TEMPLATE/feature_request.md

@@ -1,16 +0,0 @@
----
-name: Feature request
-about: Request a new feature to be added
-title: ''
-labels: enhancement
-assignees: K4YT3X
-
----
-
-## Description
-
-Briefly describe the feature you want to be added into `video2x`.
-
-## Sources
-
-Paste links to descriptions of related documentations, websites and etc. here.

.github/workflows/ci.yml

@@ -0,0 +1,41 @@
+name: CI
+on:
+  push:
+    branches:
+      - master
+      - dev/*
+  pull_request: {}
+  workflow_dispatch: {}
+jobs:
+  ubuntu:
+    runs-on: ubuntu-latest
+    env:
+      DEBIAN_FRONTEND: noninteractive
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+        with:
+          submodules: recursive
+      - name: Setup Python
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.8
+      - name: Install dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y --no-install-recommends \
+            python3-opencv python3-pil python3-tqdm python3-dev \
+            libvulkan-dev glslang-dev glslang-tools swig
+          pip install wheel
+      - name: Build wheels
+        run: |
+          pip wheel -w /tmp/wheels \
+            rife-ncnn-vulkan-python@git+https://github.com/media2x/rife-ncnn-vulkan-python.git .
+      - name: Package artifacts
+        run: |
+          tar cJvf /tmp/video2x-nightly-wheels.txz /tmp/wheels/*
+      - name: Upload artifacts
+        uses: actions/upload-artifact@v2
+        with:
+          name: video2x-nightly-wheels
+          path: /tmp/video2x-nightly-wheels.txz

.github/workflows/release.yml

@@ -0,0 +1,78 @@
+name: Release
+on:
+  push:
+    tags:
+      - "*"
+
+jobs:
+  setup:
+    if: github.event.base_ref == 'refs/heads/master'
+    name: Setup
+    runs-on: ubuntu-latest
+    outputs:
+      tag: ${{ steps.get_tag.outputs.tag }}
+    steps:
+      - name: Get tag
+        id: get_tag
+        run: echo ::set-output name=tag::${GITHUB_REF/refs\/tags\//}
+
+  create-release:
+    name: Create release
+    needs:
+      - setup
+    runs-on: ubuntu-latest
+    outputs:
+      upload_url: ${{ steps.create_release.outputs.upload_url }}
+    steps:
+      - name: Create release
+        id: create_release
+        uses: actions/create-release@v1
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        with:
+          tag_name: ${{ needs.setup.outputs.tag }}
+          release_name: Video2X ${{ needs.setup.outputs.tag }}
+          draft: true
+          prerelease: false
+
+  container:
+    name: Build and upload container
+    needs:
+      - setup
+      - create-release
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+      - uses: mr-smithers-excellent/docker-build-push@v5
+        name: Build & push the Docker image
+        with:
+          registry: ghcr.io
+          username: ${{ secrets.GHCR_USER }}
+          password: ${{ secrets.GHCR_TOKEN }}
+          dockerfile: Dockerfile
+          image: video2x
+          tags: latest, ${{ needs.setup.outputs.tag }}
+
+  container-variants:
+    name: Build and upload variants of the container
+    needs:
+      - setup
+      - create-release
+    strategy:
+      matrix:
+        version:
+          - slim-alpine
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+      - uses: mr-smithers-excellent/docker-build-push@v5
+        name: Build & push the Docker image
+        with:
+          registry: ghcr.io
+          username: ${{ secrets.GHCR_USER }}
+          password: ${{ secrets.GHCR_TOKEN }}
+          dockerfile: Dockerfile.${{ matrix.version }}
+          image: video2x
+          tags: ${{ needs.setup.outputs.tag }}-${{ matrix.version }}

.gitignore

@@ -1,5 +1,17 @@
-# PyCharm
-.idea/
+# PDM
+.pdm.toml
+__pypackages__/
+
+# test videos
+*.mp4
+*.mkv
+*.mov
+*.avi
+*.flv
+*.webm
+
+# vim session file
+Session.vim
 
 # Byte-compiled / optimized / DLL files
 __pycache__/
@@ -51,8 +63,8 @@ coverage.xml
 .pytest_cache/
 
 # Translations
-*.mo
-*.pot
+#*.mo
+#*.pot
 
 # Django stuff:
 *.log
@@ -104,4 +116,4 @@ venv.bak/
 /site
 
 # mypy
-.mypy_cache/
+.mypy_cache/

CNAME

@@ -1 +0,0 @@
-video2x.org

Dockerfile

@@ -0,0 +1,42 @@
+# Name: Video2X Dockerfile
+# Creator: K4YT3X
+# Date Created: February 3, 2022
+# Last Modified: March 28, 2022
+
+# stage 1: build the python components into wheels
+FROM docker.io/nvidia/vulkan:1.2.133-450 AS builder
+ENV DEBIAN_FRONTEND=noninteractive
+
+COPY . /video2x
+WORKDIR /video2x
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends \
+        python3.8 python3-pip python3-opencv python3-pil \
+        python3.8-dev libvulkan-dev glslang-dev glslang-tools \
+        build-essential swig \
+    && pip wheel -w /wheels wheel pdm-pep517 .
+
+# stage 2: install wheels into the final image
+FROM docker.io/nvidia/vulkan:1.2.133-450
+LABEL maintainer="K4YT3X <i@k4yt3x.com>" \
+      org.opencontainers.image.source="https://github.com/k4yt3x/video2x" \
+      org.opencontainers.image.description="A lossless video/GIF/image upscaler"
+ENV DEBIAN_FRONTEND=noninteractive
+ENV VK_ICD_FILENAMES=/usr/share/vulkan/icd.d/nvidia_icd.json\
+:/usr/share/vulkan/icd.d/radeon_icd.x86_64.json\
+:/usr/share/vulkan/icd.d/intel_icd.x86_64.json
+
+COPY --from=builder /var/lib/apt/lists* /var/lib/apt/lists/
+COPY --from=builder /wheels /wheels
+COPY . /video2x
+WORKDIR /video2x
+RUN apt-get install -y --no-install-recommends \
+        python3-pip python3.8-dev \
+        python3-opencv python3-pil \
+        mesa-vulkan-drivers cuda-drivers ffmpeg \
+    && pip install --no-cache-dir --no-index -f /wheels . \
+    && apt-get clean \
+    && rm -rf /wheels /video2x /var/lib/apt/lists/*
+
+WORKDIR /host
+ENTRYPOINT ["/usr/bin/python3.8", "-m", "video2x"]

Dockerfile.slim-alpine

@@ -0,0 +1,34 @@
+# Name: Video2X Dockerfile (Slim Alpine)
+# Creator: K4YT3X
+# Date Created: February 1, 2022
+# Last Modified: March 18, 2022
+
+# stage: build python components into heels
+FROM docker.io/library/python:3.10.4-alpine3.15 AS builder
+COPY . /video2x
+WORKDIR /video2x
+RUN apk add --no-cache \
+        cmake g++ gcc git ninja swig linux-headers \
+        ffmpeg-dev glslang-dev jpeg-dev vulkan-loader-dev zlib-dev \
+    && pip install -U pip \
+    && CMAKE_ARGS="-DWITH_FFMPEG=YES" pip wheel -w /wheels opencv-python \
+    && pip wheel -w /wheels wheel pdm-pep517 .
+
+# stage 2: install wheels into final image
+FROM docker.io/library/python:3.10.4-alpine3.15
+LABEL maintainer="K4YT3X <i@k4yt3x.com>" \
+      org.opencontainers.image.source="https://github.com/k4yt3x/video2x" \
+      org.opencontainers.image.description="A lossless video/GIF/image upscaler"
+
+COPY --from=builder /wheels /wheels
+COPY . /video2x
+WORKDIR /video2x
+RUN apk add --no-cache --virtual .run-deps \
+        ffmpeg libgomp libjpeg-turbo libstdc++ \
+        vulkan-loader mesa-vulkan-ati \
+    && pip install --no-cache-dir -U pip \
+    && pip install --no-cache-dir --no-index -f /wheels . \
+    && rm -rf /wheels /video2x
+
+WORKDIR /host
+ENTRYPOINT ["/usr/local/bin/python", "-m", "video2x"]

LICENSE

@@ -1,23 +1,21 @@
-                    GNU GENERAL PUBLIC LICENSE
-                       Version 3, 29 June 2007
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
 
- Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
  Everyone is permitted to copy and distribute verbatim copies
  of this license document, but changing it is not allowed.
 
                             Preamble
 
-  The GNU General Public License is a free, copyleft license for
-software and other kinds of works.
+  The GNU Affero General Public License is a free, copyleft license for
+software and other kinds of works, specifically designed to ensure
+cooperation with the community in the case of network server software.
 
   The licenses for most software and other practical works are designed
 to take away your freedom to share and change the works.  By contrast,
-the GNU General Public License is intended to guarantee your freedom to
+our General Public Licenses are intended to guarantee your freedom to
 share and change all versions of a program--to make sure it remains free
-software for all its users.  We, the Free Software Foundation, use the
-GNU General Public License for most of our software; it applies also to
-any other work released this way by its authors.  You can apply it to
-your programs, too.
+software for all its users.
 
   When we speak of free software, we are referring to freedom, not
 price.  Our General Public Licenses are designed to make sure that you
@@ -26,44 +24,34 @@ them if you wish), that you receive source code or can get it if you
 want it, that you can change the software or use pieces of it in new
 free programs, and that you know you can do these things.
 
-  To protect your rights, we need to prevent others from denying you
-these rights or asking you to surrender the rights.  Therefore, you have
-certain responsibilities if you distribute copies of the software, or if
-you modify it: responsibilities to respect the freedom of others.
+  Developers that use our General Public Licenses protect your rights
+with two steps: (1) assert copyright on the software, and (2) offer
+you this License which gives you legal permission to copy, distribute
+and/or modify the software.
 
-  For example, if you distribute copies of such a program, whether
-gratis or for a fee, you must pass on to the recipients the same
-freedoms that you received.  You must make sure that they, too, receive
-or can get the source code.  And you must show them these terms so they
-know their rights.
+  A secondary benefit of defending all users' freedom is that
+improvements made in alternate versions of the program, if they
+receive widespread use, become available for other developers to
+incorporate.  Many developers of free software are heartened and
+encouraged by the resulting cooperation.  However, in the case of
+software used on network servers, this result may fail to come about.
+The GNU General Public License permits making a modified version and
+letting the public access it on a server without ever releasing its
+source code to the public.
 
-  Developers that use the GNU GPL protect your rights with two steps:
-(1) assert copyright on the software, and (2) offer you this License
-giving you legal permission to copy, distribute and/or modify it.
+  The GNU Affero General Public License is designed specifically to
+ensure that, in such cases, the modified source code becomes available
+to the community.  It requires the operator of a network server to
+provide the source code of the modified version running there to the
+users of that server.  Therefore, public use of a modified version, on
+a publicly accessible server, gives the public access to the source
+code of the modified version.
 
-  For the developers' and authors' protection, the GPL clearly explains
-that there is no warranty for this free software.  For both users' and
-authors' sake, the GPL requires that modified versions be marked as
-changed, so that their problems will not be attributed erroneously to
-authors of previous versions.
-
-  Some devices are designed to deny users access to install or run
-modified versions of the software inside them, although the manufacturer
-can do so.  This is fundamentally incompatible with the aim of
-protecting users' freedom to change the software.  The systematic
-pattern of such abuse occurs in the area of products for individuals to
-use, which is precisely where it is most unacceptable.  Therefore, we
-have designed this version of the GPL to prohibit the practice for those
-products.  If such problems arise substantially in other domains, we
-stand ready to extend this provision to those domains in future versions
-of the GPL, as needed to protect the freedom of users.
-
-  Finally, every program is threatened constantly by software patents.
-States should not allow patents to restrict development and use of
-software on general-purpose computers, but in those that do, we wish to
-avoid the special danger that patents applied to a free program could
-make it effectively proprietary.  To prevent this, the GPL assures that
-patents cannot be used to render the program non-free.
+  An older license, called the Affero General Public License and
+published by Affero, was designed to accomplish similar goals.  This is
+a different license, not a version of the Affero GPL, but Affero has
+released a new version of the Affero GPL which permits relicensing under
+this license.
 
   The precise terms and conditions for copying, distribution and
 modification follow.
@@ -72,7 +60,7 @@ modification follow.
 
   0. Definitions.
 
-  "This License" refers to version 3 of the GNU General Public License.
+  "This License" refers to version 3 of the GNU Affero General Public License.
 
   "Copyright" also means copyright-like laws that apply to other kinds of
 works, such as semiconductor masks.
@@ -549,35 +537,45 @@ to collect a royalty for further conveying from those to whom you convey
 the Program, the only way you could satisfy both those terms and this
 License would be to refrain entirely from conveying the Program.
 
-  13. Use with the GNU Affero General Public License.
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
+  Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
+Source of your version by providing access to the Corresponding Source
+from a network server at no charge, through some standard or customary
+means of facilitating copying of software.  This Corresponding Source
+shall include the Corresponding Source for any work covered by version 3
+of the GNU General Public License that is incorporated pursuant to the
+following paragraph.
 
   Notwithstanding any other provision of this License, you have
 permission to link or combine any covered work with a work licensed
-under version 3 of the GNU Affero General Public License into a single
+under version 3 of the GNU General Public License into a single
 combined work, and to convey the resulting work.  The terms of this
 License will continue to apply to the part which is the covered work,
-but the special requirements of the GNU Affero General Public License,
-section 13, concerning interaction through a network will apply to the
-combination as such.
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
 
   14. Revised Versions of this License.
 
   The Free Software Foundation may publish revised and/or new versions of
-the GNU General Public License from time to time.  Such new versions will
-be similar in spirit to the present version, but may differ in detail to
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
 address new problems or concerns.
 
   Each version is given a distinguishing version number.  If the
-Program specifies that a certain numbered version of the GNU General
+Program specifies that a certain numbered version of the GNU Affero General
 Public License "or any later version" applies to it, you have the
 option of following the terms and conditions either of that numbered
 version or of any later version published by the Free Software
 Foundation.  If the Program does not specify a version number of the
-GNU General Public License, you may choose any version ever published
+GNU Affero General Public License, you may choose any version ever published
 by the Free Software Foundation.
 
   If the Program specifies that a proxy can decide which future
-versions of the GNU General Public License can be used, that proxy's
+versions of the GNU Affero General Public License can be used, that proxy's
 public statement of acceptance of a version permanently authorizes you
 to choose that version for the Program.
 
@@ -635,40 +633,29 @@ the "copyright" line and a pointer to where the full notice is found.
     Copyright (C) <year>  <name of author>
 
     This program is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
+    it under the terms of the GNU Affero General Public License as published by
     the Free Software Foundation, either version 3 of the License, or
     (at your option) any later version.
 
     This program is distributed in the hope that it will be useful,
     but WITHOUT ANY WARRANTY; without even the implied warranty of
     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
+    GNU Affero 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 <http://www.gnu.org/licenses/>.
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 Also add information on how to contact you by electronic and paper mail.
 
-  If the program does terminal interaction, make it output a short
-notice like this when it starts in an interactive mode:
-
-    <program>  Copyright (C) <year>  <name of author>
-    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
-    This is free software, and you are welcome to redistribute it
-    under certain conditions; type `show c' for details.
-
-The hypothetical commands `show w' and `show c' should show the appropriate
-parts of the General Public License.  Of course, your program's commands
-might be different; for a GUI interface, you would use an "about box".
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
 
   You should also get your employer (if you work as a programmer) or school,
 if any, to sign a "copyright disclaimer" for the program, if necessary.
-For more information on this, and how to apply and follow the GNU GPL, see
-<http://www.gnu.org/licenses/>.
-
-  The GNU General Public License does not permit incorporating your program
-into proprietary programs.  If your program is a subroutine library, you
-may consider it more useful to permit linking proprietary applications with
-the library.  If this is what you want to do, use the GNU Lesser General
-Public License instead of this License.  But first, please read
-<http://www.gnu.org/philosophy/why-not-lgpl.html>.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

NOTICE

@@ -0,0 +1,43 @@
+Video2X
+Copyright (c) 2018-2022 K4YT3X and contributors.
+
+This product depends on FFmpeg, which is available under
+the GNU Lesser General Public License 2.1. The source code can be found at
+https://www.gnu.org/licenses/agpl-3.0.txt.
+
+This product depends on waifu2x-ncnn-vulkan, which is available under
+the MIT License. The source code can be found at
+https://github.com/nihui/waifu2x-ncnn-vulkan.
+
+This product depends on srmd-ncnn-vulkan, which is available under
+the MIT License. The source code can be found at
+https://github.com/nihui/srmd-ncnn-vulkan.
+
+This product depends on realsr-ncnn-vulkan, which is available under
+the MIT License. The source code can be found at
+https://github.com/nihui/realsr-ncnn-vulkan.
+
+This product depends on rife-ncnn-vulkan, which is available under
+the MIT License. The source code can be found at
+https://github.com/nihui/rife-ncnn-vulkan.
+
+This product depends on ffmpeg-python, which is available under
+the Apache License Version 2.0. The source code can be found at
+https://github.com/kkroening/ffmpeg-python.
+
+This product depends on Loguru, which is available under
+the MIT License. The source code can be found at
+https://github.com/Delgan/loguru.
+
+This product depends on opencv-python, which is available under
+the MIT License. The source code can be found at
+https://github.com/opencv/opencv-python.
+
+This product depends on Pillow, which is available under
+the Historical Permission Notice and Disclaimer. The source code
+can be found at
+https://github.com/python-pillow/Pillow.
+
+This product depends on Rich, which is available under
+the MIT License. The source code can be found at
+https://github.com/Textualize/rich.

README.md

@@ -1,272 +1,124 @@
-![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 />
+<p align="center">
+   <img src="https://user-images.githubusercontent.com/21986859/102733190-872a7880-4334-11eb-8e9e-0ca747f130b1.png"/>
+   </br>
+   <img src="https://img.shields.io/github/v/release/k4yt3x/video2x?style=flat-square"/>
+   <img src="https://img.shields.io/github/workflow/status/k4yt3x/video2x/CI?label=CI&style=flat-square"/>
+   <img src="https://img.shields.io/github/downloads/k4yt3x/video2x/total?style=flat-square"/>
+   <img src="https://img.shields.io/github/license/k4yt3x/video2x?style=flat-square"/>
+   <img src="https://img.shields.io/badge/dynamic/json?color=%23e85b46&label=Patreon&query=data.attributes.patron_count&suffix=%20patrons&url=https%3A%2F%2Fwww.patreon.com%2Fapi%2Fcampaigns%2F4507807&style=flat-square"/>
+</p>
 
-# Video2X Lossless Video Enlarger
+## [💬 Telegram Discussion Group](https://t.me/video2x)
 
-### Official Discussion Group (Telegram): https://t.me/video2x
+Join our Telegram discussion group to ask any questions you have about Video2X, chat directly with the developers, or discuss about upscaling technologies and the future of Video2X in general.
 
-## Download Builds (Windows)
+## [🪟 Download Windows Releases](https://github.com/k4yt3x/video2x/releases/tag/4.8.1)
 
-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.
+The latest Windows update is built based on version 4.8.1. GUI is not available for 5.0.0 yet, but is already under development. Go to the [GUI](https://github.com/k4yt3x/video2x/wiki/GUI) page to see the basic usages of the GUI. Try the [mirror](https://files.k4yt3x.com/Projects/Video2X/latest) if you can't download releases directly from GitHub.
 
-The **`full`** package provides all packages that will possibly be needed by `Video2X`, including `FFmpeg`, `waifu2x-caffe`, `waifu2x-converter-cpp`, `waifu2x-ncnn-vulkan`, `srmd-ncnn-vulkan` and `Anime4KCPP`. The config file (`video2x.yaml`) is also already configured for the environment. All you need to do is just to launch `video2x.exe`.
+## [📔 Google Colab](https://colab.research.google.com/drive/1gWEwcA9y57EsxwOjmLNmNMXPsafw0kGo)
 
-The **`light`** package provides only the most basic functions of `Video2X`. Only `video2x.exe`, `video2x_setup.exe` and `video2x.yaml` are included. To setup dependencies (e.g. `FFmpeg` and `Waifu2X`) automatically, simply launch `video2x_setup.exe`.
+You can use Video2X on [Google Colab](https://colab.research.google.com/) **for free** if you don't have a powerful GPU of your own. You can borrow a powerful GPU (Tesla K80, T4, P4, or P100) on Google's server for free for a maximum of 12 hours per session. **Please use the free resource fairly** and do not create sessions back-to-back and run upscaling 24/7. This might result in you getting banned. You can get [Colab Pro/Pro+](https://colab.research.google.com/signup/pricing) if you'd like to use better GPUs and get longer runtimes. Usage instructions are embedded in the [Colab Notebook](https://colab.research.google.com/drive/1gWEwcA9y57EsxwOjmLNmNMXPsafw0kGo).
 
-## Prerequisites
+## [🌙 Download Nightly Releases](https://github.com/k4yt3x/video2x/actions/workflows/ci.yml)
 
-Component names that are **bolded** can be automatically downloaded and configured with the `video2x_setup.py` script.
+Nightly releases are automatically created by the GitHub Actions CI/CD pipelines. They usually contain more experimental features and bug fixes. However, they are much less stable to the stable releases. **You must log in to GitHub to download CI build artifacts.**
 
-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)
-   - [**srmd-ncnn-vulkan**](https://github.com/nihui/srmd-ncnn-vulkan)
-   - [**Anime4KCPP**](https://github.com/TianZerL/Anime4KCPP)
+## [📦 Container Image](https://github.com/k4yt3x/video2x/pkgs/container/video2x)
 
-## Recent Changes
+Video2X container images are available on the GitHub Container Registry for easy deployment on Linux and macOS. If you already have Docker/Podman installed, only one command is needed to start upscaling a video. For more information on how to use Video2X's Docker image, please refer to the [documentations](https://github.com/K4YT3X/video2x/wiki/Container).
 
-### 4.0.0 (May 5, 2020)
+## [📖 Documentations](https://github.com/k4yt3x/video2x/wiki)
 
-- 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
+Video2X's documentations are hosted on this repository's [Wiki page](https://github.com/k4yt3x/video2x/wiki). It includes comprehensive explanations for how to use the [GUI](https://github.com/k4yt3x/video2x/wiki/GUI), the [CLI](https://github.com/k4yt3x/video2x/wiki/CLI), the [container image](https://github.com/K4YT3X/video2x/wiki/Container), the [library](https://github.com/k4yt3x/video2x/wiki/Library), and more. The Wiki is open to edits by the community, so you, yes you, can also correct errors or add new contents to the documentations.
 
-### 3.2.0 (April 26, 2020)
+## Introduction
 
-- Added support for [SRMD-NCNN-Vulkan](https://github.com/nihui/srmd-ncnn-vulkan)
+Video2X is a video/GIF/image upscaling and frame interpolation software written in Python. It can use these following state-of-the-art algorithms to increase the resolution and frame rate of your video/GIF/image. More information about the algorithms that it supports can be found in [the documentations](https://github.com/k4yt3x/video2x/wiki/Algorithms).
 
-### 3.1.0 (February 26, 2020)
+### Video Upscaling
 
-- 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)`
+![Spirited Away Demo](https://user-images.githubusercontent.com/21986859/49412428-65083280-f73a-11e8-8237-bb34158a545e.png)\
+_Upscale demo: Spirited Away's movie trailer_
 
-### Setup Script 1.8.0 (May 5, 2020)
+- **Spirited Away**: [YouTube](https://youtu.be/mGEfasQl2Zo) | [Bilibili](https://www.bilibili.com/video/BV1V5411471i/)
+  - 360P to 4K
+  - The [original video](https://www.youtube.com/watch?v=ByXuk9QqQkk)'s copyright belongs to 株式会社スタジオジブリ
+- **Bad Apple!!**: [YouTube](https://youtu.be/A81rW_FI3cw) | [Bilibili](https://www.bilibili.com/video/BV16K411K7ue)
+  - 384P to 4K 120FPS
+  - The [original video](https://www.nicovideo.jp/watch/sm8628149)'s copyright belongs to あにら
+- **The Pet Girl of Sakurasou**: [YouTube](https://youtu.be/M0vDI1HH2_Y) | [Bilibili](https://www.bilibili.com/video/BV14k4y167KP/)
+  - 240P to 1080P 60FPS
+  - The original video's copyright belongs to ASCII Media Works
 
-- Added support for Anime4KCPP
+### GIF Upscaling
 
-## Description
+![catfru](https://user-images.githubusercontent.com/21986859/81631069-96d4fc80-93f6-11ea-92fb-33d6545055e7.gif)
+![catfru4x](https://user-images.githubusercontent.com/21986859/81631070-976d9300-93f6-11ea-9137-072a3b386110.gif)\
+_Catfru scaled up to 4x its original size using waifu2x [(original image)](https://gfycat.com/craftyeasygoingankole-capoo-bug-cat)_
 
-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.
+### Image Upscaling
 
-For short: **Video2X enlarges your video without losing details**.
+![Jill Comparison](https://user-images.githubusercontent.com/21986859/81631903-79a12d80-93f8-11ea-9c3c-f340240cf08c.png)\
+_Image 8x upscaling demo ([original image](https://72915.tumblr.com/post/173793265673) by [nananicu](https://twitter.com/nananicu))_
 
-Watch for the sharper edges in this screenshot around the shadows:
+### Standard Test Clip
 
-![preview](https://user-images.githubusercontent.com/21986859/49412428-65083280-f73a-11e8-8237-bb34158a545e.png)
+The following clip can be used to test if your setup works properly. This is also the standard clip used for running performance benchmarks.
 
-*Upscale Comparison Demonstration*
+- [Standard Test Clip (240P)](https://files.k4yt3x.com/Resources/Videos/standard-test.mp4) 4.54 MiB
+- [waifu2x Upscaled Sample (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-waifu2x.mp4) 4.54 MiB
+- [Original Ground Truth (1080P)](https://files.k4yt3x.com/Resources/Videos/standard-original.mp4) 22.2 MiB
 
-**You can also watch the YouTube video Demo: https://www.youtube.com/watch?v=PG94iPoeoZk**
-
-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.
-
-## Screenshots
-
-### Video2X GUI
-
-![Video2X GUI Main Tab Screenshot](https://user-images.githubusercontent.com/21986859/81241806-dcf71e00-8ffa-11ea-88ed-50b062d9bb5e.png)
-
-*Video2X GUI Main Tab Screenshot*
-
-![Video2X GUI Driver Settings Screenshot](https://user-images.githubusercontent.com/21986859/81241837-f9935600-8ffa-11ea-8b89-5ae098b63de4.png)
-
-*Video2X GUI Driver Settings Screenshot*
-
-### Video2X CLI
-
-![Video2X CLI Screenshot](https://user-images.githubusercontent.com/21986859/81039711-4fe88380-8e99-11ea-9846-175f72100a76.png)
-
-*Video2X CLI Screenshot*
-
----
-
-## Documentations
-
-### [Video2X Wiki](https://github.com/k4yt3x/video2x/wiki)
-
-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.
-
-### [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.
-
-### [Drivers](https://github.com/k4yt3x/video2x/wiki/Drivers)
-
-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.
-
----
-
-## Quick Start
-
-### Prerequisites
-
-- **Python 3.8**
-Download: https://www.python.org/downloads/windows/
-- **FFmpeg Windows Build**
-Download: https://ffmpeg.org/download.html
-- **waifu2x-caffe** (designed for Nvidia CUDA/cuDNN)
-Download: https://github.com/lltcggie/waifu2x-caffe/releases
-- **waifu2x-converter-cpp**
-Download: https://github.com/DeadSix27/waifu2x-converter-cpp/releases
-- **waifu2x-ncnn-vulkan**
-Download: https://github.com/nihui/waifu2x-ncnn-vulkan/releases
-- **Anime4KCPP**
-Download: https://github.com/TianZerL/Anime4KCPP/releases
-- **srmd-ncnn-vulkan**
-Download: https://github.com/nihui/srmd-ncnn-vulkan/releases
-
-### Installing Dependencies
-
-First, clone the video2x repository.
-
-```shell
-git clone https://github.com/k4yt3x/video2x.git
-cd video2x/src
-```
-
-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`, and all upscaling drivers 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
-```
-
-### 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 Upscale Videos*
-
-- [Sample Video Original (240P) 1.7MB](https://files.k4yt3x.com/Resources/Videos/sample_input.mp4)
-- [Sample Video Upscaled (1080P) 4.8MB](https://files.k4yt3x.com/Resources/Videos/sample_output.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.
-
-### 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 -r 2 -d waifu2x_caffe
-```
-
-### Advanced Upscale Example
-
-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 -r 2 -d waifu2x_caffe -- --tta 1
-```
-
-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 -d waifu2x_caffe -- --help
-```
-
----
-
-# Full Usage
-
-## General Options:
-
-### -h, --help
-    show this help message and exit
-
-### -i INPUT, --input INPUT
-    source video file/directory
-
-### -o OUTPUT, --output OUTPUT
-    output video file/directory
-
-### -c CONFIG, --config CONFIG
-    video2x config file path
-
-### -d {waifu2x_caffe,waifu2x_converter_cpp,waifu2x_ncnn_vulkan,srmd_ncnn_vulkan,anime4kcpp}, --driver {waifu2x_caffe,waifu2x_converter_cpp,waifu2x_ncnn_vulkan,srmd_ncnn_vulkan,anime4kcpp}
-    upscaling driver (default: waifu2x_caffe)
-
-### -p PROCESSES, --processes PROCESSES
-    number of processes to use for upscaling (default: 1)
-
-### -v, --version
-    display version, lawful information and exit
-
-## Scaling Options
-
-### --width WIDTH
-    output video width
-
-### --height HEIGHT
-    output video height
-
-### -r RATIO, --ratio RATIO
-    scaling ratio
-
----
+The original clip came from the anime "さくら荘のペットな彼女."\
+Copyright of this clip belongs to 株式会社アニプレックス.
 
 ## License
 
-Licensed under the GNU General Public License Version 3 (GNU GPL v3)
-https://www.gnu.org/licenses/gpl-3.0.txt
+This project is licensed under the [GNU Affero General Public License Version 3 (GNU AGPL v3)](https://www.gnu.org/licenses/agpl-3.0.txt)\
+Copyright (c) 2018-2022 K4YT3X and contributors.
 
-![GPLv3 Icon](https://www.gnu.org/graphics/gplv3-127x51.png)
+![AGPLv3](https://www.gnu.org/graphics/agplv3-155x51.png)
 
-(C) 2018-2020 K4YT3X
+This project includes or depends on these following projects:
 
-## Credits
+| Project                                                             | License         |
+| ------------------------------------------------------------------- | --------------- |
+| [FFmpeg](https://www.ffmpeg.org/)                                   | LGPLv2.1, GPLv2 |
+| [waifu2x-ncnn-vulkan](https://github.com/nihui/waifu2x-ncnn-vulkan) | MIT License     |
+| [srmd-ncnn-vulkan](https://github.com/nihui/srmd-ncnn-vulkan)       | MIT License     |
+| [realsr-ncnn-vulkan](https://github.com/nihui/realsr-ncnn-vulkan)   | MIT License     |
+| [rife-ncnn-vulkan](https://github.com/nihui/rife-ncnn-vulkan)       | MIT License     |
+| [ffmpeg-python](https://github.com/kkroening/ffmpeg-python)         | Apache-2.0      |
+| [Loguru](https://github.com/Delgan/loguru)                          | MIT License     |
+| [opencv-python](https://github.com/opencv/opencv-python)            | MIT License     |
+| [Pillow](https://github.com/python-pillow/Pillow)                   | HPND License    |
+| [Rich](https://github.com/Textualize/rich)                          | MIT License     |
 
-This project relies on the following software and projects.
+Legacy versions of this project includes or depends on these following projects:
 
-- [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)
-- [srmd-ncnn-vulkan](https://github.com/nihui/srmd-ncnn-vulkan)
-- [Anime4KCPP](https://github.com/TianZerL/Anime4KCPP)
+| Project                                                                     | License              |
+| --------------------------------------------------------------------------- | -------------------- |
+| [waifu2x-caffe](https://github.com/lltcggie/waifu2x-caffe)                  | MIT License          |
+| [waifu2x-converter-cpp](https://github.com/DeadSix27/waifu2x-converter-cpp) | MIT License          |
+| [Anime4K](https://github.com/bloc97/Anime4K)                                | MIT License          |
+| [Anime4KCPP](https://github.com/TianZerL/Anime4KCPP)                        | MIT License          |
+| [Gifski](https://github.com/ImageOptim/gifski)                              | AGPLv3               |
+| [tqdm](https://github.com/tqdm/tqdm)                                        | MPLv2.0, MIT License |
+
+More licensing information can be found in the [NOTICES](NOTICES) file.
 
 ## Special Thanks
 
-Appreciations given to the following code contributors:
+Appreciations given to the following personnel who have contributed significantly to the project.
 
-- @BrianPetkovsek
-- @SAT3LL
+- [@BrianPetkovsek](https://github.com/BrianPetkovsek)
+- [@sat3ll](https://github.com/sat3ll)
+- [@ddouglas87](https://github.com/ddouglas87)
+- [@lhanjian](https://github.com/lhanjian)
+- [@ArchieMeng](https://github.com/archiemeng)
 
-## Related Projects
+## Similar Projects
 
 - [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.

_config.yml

@@ -1 +0,0 @@
-theme: jekyll-theme-slate

examples/container-run-interpolate-rife.sh

@@ -0,0 +1,10 @@
+#!/bin/sh
+
+set -euxo pipefail
+
+sudo podman run \
+    -it --rm --gpus all -v /dev/dri:/dev/dri \
+    -v $PWD/data:/host \
+    ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda \
+    -i input.mp4 -o output.mp4 \
+    interpolate

examples/container-run-upscale-waifu2x.sh

@@ -0,0 +1,11 @@
+#!/bin/sh
+
+set -euxo pipefail
+
+sudo podman run \
+    -it --rm --gpus all -v /dev/dri:/dev/dri \
+    -v $PWD/data:/host \
+    ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda \
+    -i input.mp4 -o output.mp4 \
+    -p5 upscale \
+    -h 720 -a waifu2x -n3

examples/run_interpolate_rife.py

@@ -0,0 +1,21 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+
+# built-in imports
+import pathlib
+
+# import video2x
+from video2x import Video2X
+
+
+# create video2x object
+video2x = Video2X()
+
+# run upscale
+video2x.interpolate(
+    pathlib.Path("input.mp4"),   # input video path
+    pathlib.Path("output.mp4"),  # another
+    3,                           # processes: number of parallel processors
+    10,                          # threshold: adjacent frames with > n% diff won't be processed (100 == process all)
+    "rife",                      # algorithm: the algorithm to use to process the video
+)

examples/run_upscale_waifu2x.py

@@ -0,0 +1,24 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+
+# built-in imports
+import pathlib
+
+# import video2x
+from video2x import Video2X
+
+
+# create video2x object
+video2x = Video2X()
+
+# run upscale
+video2x.upscale(
+    pathlib.Path("input.mp4"),   # input video path
+    pathlib.Path("output.mp4"),  # another
+    None,                        # width: width of output, None == auto
+    720,                         # height: height of output, None == auto
+    3,                           # noise: noise level, algorithm-dependent
+    5,                           # processes: number of parallel processors
+    0,                           # threshold: adjacent frames with < n% diff won't be processed (0 == process all)
+    "waifu2x",                   # algorithm: the algorithm to use to process the video
+)

licenses/LICENSE-Pillow

@@ -0,0 +1,30 @@
+The Python Imaging Library (PIL) is
+
+    Copyright © 1997-2011 by Secret Labs AB
+    Copyright © 1995-2011 by Fredrik Lundh
+
+Pillow is the friendly PIL fork. It is
+
+    Copyright © 2010-2022 by Alex Clark and contributors
+
+Like PIL, Pillow is licensed under the open source HPND License:
+
+By obtaining, using, and/or copying this software and/or its associated
+documentation, you agree that you have read, understood, and will comply
+with the following terms and conditions:
+
+Permission to use, copy, modify, and distribute this software and its
+associated documentation for any purpose and without fee is hereby granted,
+provided that the above copyright notice appears in all copies, and that
+both that copyright notice and this permission notice appear in supporting
+documentation, and that the name of Secret Labs AB or the author not be
+used in advertising or publicity pertaining to distribution of the software
+without specific, written prior permission.
+
+SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
+SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS.
+IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR BE LIABLE FOR ANY SPECIAL,
+INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE
+OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+PERFORMANCE OF THIS SOFTWARE.

licenses/LICENSE-opencv-python

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) Olli-Pekka Heinisuo
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

licenses/LICENSE-realsr-ncnn-vulkan

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2019 nihui
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

licenses/LICENSE-rife-ncnn-vulkan

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2019 nihui
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

licenses/LICENSE-srmd-ncnn-vulkan

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2019 nihui
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

licenses/LICENSE-waifu2x-ncnn-vulkan

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2019 nihui
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

licenses/agpl-3.0.txt

@@ -0,0 +1,661 @@
+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
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+  12. No Surrender of Others' Freedom.
+
+  If conditions are imposed on you (whether by court order, agreement or
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+not convey it at all.  For example, if you agree to terms that obligate you
+to collect a royalty for further conveying from those to whom you convey
+the Program, the only way you could satisfy both those terms and this
+License would be to refrain entirely from conveying the Program.
+
+  13. Remote Network Interaction; Use with the GNU General Public License.
+
+  Notwithstanding any other provision of this License, if you modify the
+Program, your modified version must prominently offer all users
+interacting with it remotely through a computer network (if your version
+supports such interaction) an opportunity to receive the Corresponding
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+from a network server at no charge, through some standard or customary
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+shall include the Corresponding Source for any work covered by version 3
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+following paragraph.
+
+  Notwithstanding any other provision of this License, you have
+permission to link or combine any covered work with a work licensed
+under version 3 of the GNU General Public License into a single
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+License will continue to apply to the part which is the covered work,
+but the work with which it is combined will remain governed by version
+3 of the GNU General Public License.
+
+  14. Revised Versions of this License.
+
+  The Free Software Foundation may publish revised and/or new versions of
+the GNU Affero General Public License from time to time.  Such new versions
+will be similar in spirit to the present version, but may differ in detail to
+address new problems or concerns.
+
+  Each version is given a distinguishing version number.  If the
+Program specifies that a certain numbered version of the GNU Affero General
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+option of following the terms and conditions either of that numbered
+version or of any later version published by the Free Software
+Foundation.  If the Program does not specify a version number of the
+GNU Affero General Public License, you may choose any version ever published
+by the Free Software Foundation.
+
+  If the Program specifies that a proxy can decide which future
+versions of the GNU Affero General Public License can be used, that proxy's
+public statement of acceptance of a version permanently authorizes you
+to choose that version for the Program.
+
+  Later license versions may give you additional or different
+permissions.  However, no additional obligations are imposed on any
+author or copyright holder as a result of your choosing to follow a
+later version.
+
+  15. Disclaimer of Warranty.
+
+  THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
+APPLICABLE LAW.  EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
+HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
+OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
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+IS WITH YOU.  SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
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+  16. Limitation of Liability.
+
+  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
+WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
+THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
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+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
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+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
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+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
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+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
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+
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+of the code.  There are many ways you could offer source, and different
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+
+  You should also get your employer (if you work as a programmer) or school,
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+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

licenses/apache-2.0.txt

@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
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+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
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+   Copyright 2017 Karl Kroening
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
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+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

licenses/mit.txt

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2017 
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

pdm.lock

@@ -0,0 +1,533 @@
+[[package]]
+name = "cmake"
+version = "3.22.3"
+summary = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
+
+[[package]]
+name = "cmake-build-extension"
+version = "0.5.0"
+requires_python = ">=3.6"
+summary = "Setuptools extension to build and package CMake projects."
+dependencies = [
+    "GitPython",
+    "cmake",
+    "ninja",
+    "setuptools-scm",
+]
+
+[[package]]
+name = "colorama"
+version = "0.4.4"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+summary = "Cross-platform colored terminal text."
+
+[[package]]
+name = "commonmark"
+version = "0.9.1"
+summary = "Python parser for the CommonMark Markdown spec"
+
+[[package]]
+name = "evdev"
+version = "1.4.0"
+summary = "Bindings to the Linux input handling subsystem"
+
+[[package]]
+name = "ffmpeg-python"
+version = "0.2.0"
+summary = "Python bindings for FFmpeg - with complex filtering support"
+dependencies = [
+    "future",
+]
+
+[[package]]
+name = "future"
+version = "0.18.2"
+requires_python = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+summary = "Clean single-source support for Python 3 and 2"
+
+[[package]]
+name = "gitdb"
+version = "4.0.9"
+requires_python = ">=3.6"
+summary = "Git Object Database"
+dependencies = [
+    "smmap<6,>=3.0.1",
+]
+
+[[package]]
+name = "gitpython"
+version = "3.1.27"
+requires_python = ">=3.7"
+summary = "GitPython is a python library used to interact with Git repositories"
+dependencies = [
+    "gitdb<5,>=4.0.1",
+    "typing-extensions>=3.7.4.3; python_version < \"3.8\"",
+]
+
+[[package]]
+name = "loguru"
+version = "0.6.0"
+requires_python = ">=3.5"
+summary = "Python logging made (stupidly) simple"
+dependencies = [
+    "colorama>=0.3.4; sys_platform == \"win32\"",
+    "win32-setctime>=1.0.0; sys_platform == \"win32\"",
+]
+
+[[package]]
+name = "ninja"
+version = "1.10.2.3"
+summary = "Ninja is a small build system with a focus on speed"
+
+[[package]]
+name = "numpy"
+version = "1.22.3"
+requires_python = ">=3.8"
+summary = "NumPy is the fundamental package for array computing with Python."
+
+[[package]]
+name = "opencv-python"
+version = "4.5.5.64"
+requires_python = ">=3.6"
+summary = "Wrapper package for OpenCV python bindings."
+dependencies = [
+    "numpy>=1.14.5; python_version >= \"3.7\"",
+    "numpy>=1.17.3; python_version >= \"3.8\"",
+    "numpy>=1.19.3; python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\"",
+    "numpy>=1.19.3; python_version >= \"3.9\"",
+    "numpy>=1.21.2; python_version >= \"3.10\"",
+    "numpy>=1.21.2; python_version >= \"3.6\" and platform_system == \"Darwin\" and platform_machine == \"arm64\"",
+]
+
+[[package]]
+name = "packaging"
+version = "21.3"
+requires_python = ">=3.6"
+summary = "Core utilities for Python packages"
+dependencies = [
+    "pyparsing!=3.0.5,>=2.0.2",
+]
+
+[[package]]
+name = "pillow"
+version = "9.0.1"
+requires_python = ">=3.7"
+summary = "Python Imaging Library (Fork)"
+
+[[package]]
+name = "pygments"
+version = "2.11.2"
+requires_python = ">=3.5"
+summary = "Pygments is a syntax highlighting package written in Python."
+
+[[package]]
+name = "pynput"
+version = "1.7.6"
+summary = "Monitor and control user input devices"
+dependencies = [
+    "evdev>=1.3; \"linux\" in sys_platform",
+    "pyobjc-framework-ApplicationServices>=8.0; sys_platform == \"darwin\"",
+    "pyobjc-framework-Quartz>=8.0; sys_platform == \"darwin\"",
+    "python-xlib>=0.17; \"linux\" in sys_platform",
+    "six",
+]
+
+[[package]]
+name = "pyobjc-core"
+version = "8.4.1"
+requires_python = ">=3.6"
+summary = "Python<->ObjC Interoperability Module"
+
+[[package]]
+name = "pyobjc-framework-applicationservices"
+version = "8.4.1"
+requires_python = ">=3.6"
+summary = "Wrappers for the framework ApplicationServices on macOS"
+dependencies = [
+    "pyobjc-core>=8.4.1",
+    "pyobjc-framework-Cocoa>=8.4.1",
+    "pyobjc-framework-Quartz>=8.4.1",
+]
+
+[[package]]
+name = "pyobjc-framework-cocoa"
+version = "8.4.1"
+requires_python = ">=3.6"
+summary = "Wrappers for the Cocoa frameworks on macOS"
+dependencies = [
+    "pyobjc-core>=8.4.1",
+]
+
+[[package]]
+name = "pyobjc-framework-quartz"
+version = "8.4.1"
+requires_python = ">=3.6"
+summary = "Wrappers for the Quartz frameworks on macOS"
+dependencies = [
+    "pyobjc-core>=8.4.1",
+    "pyobjc-framework-Cocoa>=8.4.1",
+]
+
+[[package]]
+name = "pyparsing"
+version = "3.0.7"
+requires_python = ">=3.6"
+summary = "Python parsing module"
+
+[[package]]
+name = "python-xlib"
+version = "0.31"
+summary = "Python X Library"
+dependencies = [
+    "six>=1.10.0",
+]
+
+[[package]]
+name = "realcugan-ncnn-vulkan-python"
+version = "1.0.0"
+requires_python = ">=3.6"
+summary = "A Python FFI of nihui/realcugan-ncnn-vulkan achieved with SWIG"
+dependencies = [
+    "pillow",
+]
+
+[[package]]
+name = "realsr-ncnn-vulkan-python"
+version = "1.0.4"
+requires_python = ">=3.6"
+summary = "A Python FFI of nihui/realsr-ncnn-vulkan achieved with SWIG"
+dependencies = [
+    "pillow",
+]
+
+[[package]]
+name = "rich"
+version = "12.0.0"
+requires_python = ">=3.6.2,<4.0.0"
+summary = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
+dependencies = [
+    "commonmark<0.10.0,>=0.9.0",
+    "pygments<3.0.0,>=2.6.0",
+    "typing-extensions<5.0,>=3.7.4; python_version < \"3.8\"",
+]
+
+[[package]]
+name = "rife-ncnn-vulkan-python"
+version = "1.1.2.post3"
+requires_python = ">=3.6"
+summary = "A Python FFI of nihui/rife-ncnn-vulkan achieved with SWIG"
+dependencies = [
+    "pillow",
+]
+
+[[package]]
+name = "setuptools"
+version = "60.10.0"
+requires_python = ">=3.7"
+summary = "Easily download, build, install, upgrade, and uninstall Python packages"
+
+[[package]]
+name = "setuptools-scm"
+version = "6.4.2"
+requires_python = ">=3.6"
+summary = "the blessed package to manage your versions by scm tags"
+dependencies = [
+    "packaging>=20.0",
+    "setuptools",
+    "tomli>=1.0.0",
+]
+
+[[package]]
+name = "six"
+version = "1.16.0"
+requires_python = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+summary = "Python 2 and 3 compatibility utilities"
+
+[[package]]
+name = "smmap"
+version = "5.0.0"
+requires_python = ">=3.6"
+summary = "A pure Python implementation of a sliding window memory map manager"
+
+[[package]]
+name = "srmd-ncnn-vulkan-python"
+version = "1.0.2"
+requires_python = ">=3.6"
+summary = "A Python FFI of nihui/srmd-ncnn-vulkan achieved with SWIG"
+dependencies = [
+    "pillow",
+]
+
+[[package]]
+name = "tomli"
+version = "2.0.1"
+requires_python = ">=3.7"
+summary = "A lil' TOML parser"
+
+[[package]]
+name = "typing-extensions"
+version = "4.1.1"
+requires_python = ">=3.6"
+summary = "Backported and Experimental Type Hints for Python 3.6+"
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pyproject.toml

@@ -0,0 +1,56 @@
+[project]
+name = "video2x"
+description = "A video/image upscaling and frame interpolation framework"
+readme = "README.md"
+requires-python = ">=3.7"
+license = { text = "AGPL-3.0-or-later" }
+keywords = [
+  "super-resolution",
+  "upscaling",
+  "neural-network",
+  "machine-learning",
+]
+authors = [{ name = "K4YT3X", email = "i@k4yt3x.com" }]
+classifiers = [
+  "Environment :: Console",
+  "Operating System :: OS Independent",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.6",
+  "Programming Language :: Python :: 3.7",
+  "Programming Language :: Python :: 3.8",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Topic :: Multimedia :: Video",
+  "Topic :: Scientific/Engineering :: Image Processing",
+]
+dependencies = [
+  "ffmpeg-python>=0.2.0",
+  "loguru>=0.6.0",
+  "opencv-python>=4.5.5.64",
+  "pillow>=9.0.1",
+  "rich>=12.0.0",
+  "waifu2x-ncnn-vulkan-python>=1.0.2rc3",
+  "srmd-ncnn-vulkan-python>=1.0.2",
+  "realsr-ncnn-vulkan-python>=1.0.4",
+  "rife-ncnn-vulkan-python>=1.1.2.post3",
+  "realcugan-ncnn-vulkan-python>=1.0.0",
+  "pynput>=1.7.6",
+]
+dynamic = ["version"]
+
+[project.urls]
+homepage = "https://github.com/k4yt3x/video2x/"
+documentation = "https://github.com/k4yt3x/video2x/wiki"
+repository = "https://github.com/k4yt3x/video2x.git"
+changelog = "https://github.com/k4yt3x/video2x/releases"
+
+[project.scripts]
+video2x = "video2x:main"
+
+[tool.pdm]
+version = { from = "video2x/__init__.py" }
+
+[build-system]
+requires = ["pdm-pep517"]
+build-backend = "pdm.pep517.api"

scripts/run-interactive-container.sh

@@ -0,0 +1,19 @@
+#!/bin/sh
+# mount the current (video2x repo root) directory into a container
+# with drivers installed so the code can be debugged in the container
+# this one launches an interactive shell instead of Python
+
+set -euo pipefail
+
+sudo podman run -it --rm \
+    --gpus all -v /dev/dri:/dev/dri \
+    -v $PWD:/host \
+    -m 15g \
+    --cpus 0.9 \
+    -v $HOME/projects/media2x/video2x:/video2x \
+    -e PYTHONPATH=/video2x \
+    -e PYTHONDONTWRITEBYTECODE=1 \
+    --entrypoint=/bin/bash \
+    ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda
+
+# alias upscale='python3 -m video2x -i /host/input-large.mp4 -o /host/output-large.mp4 -p3 upscale -h 1440 -d waifu2x -n3'

scripts/run-source-in-container.sh

@@ -0,0 +1,19 @@
+#!/bin/sh
+# mount the current (video2x repo root) directory into a container
+# with drivers installed so the code can be debugged in the container
+
+set -euo pipefail
+
+sudo podman run -it --rm \
+    --gpus all -v /dev/dri:/dev/dri \
+    -v $PWD:/host \
+    -m 15g \
+    --cpus 0.9 \
+    -v $HOME/projects/media2x/video2x:/video2x \
+    -e PYTHONPATH=/video2x \
+    -e PYTHONDONTWRITEBYTECODE=1 \
+    ghcr.io/k4yt3x/video2x:5.0.0-beta4-cuda \
+    -i data/input.mp4 -o data/output.mp4 \
+    -p3 \
+    upscale \
+    -h 1440 -a waifu2x -n3

src/build.ps1

@@ -1,92 +0,0 @@
-<#
-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"

src/exceptions.py

@@ -1,28 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Video2X Exceptions
-Dev: K4YT3X
-Date Created: December 13, 2018
-Last Modified: July 27, 2019
-"""
-
-
-class ArgumentError(Exception):
-    def __init__(self, message):
-        super().__init__(message)
-
-
-class StreamNotFoundError(Exception):
-    def __init__(self, message):
-        super().__init__(message)
-
-
-class UnrecognizedDriverError(Exception):
-    def __init__(self, message):
-        super().__init__(message)
-
-
-class UnsupportedPixelError(Exception):
-    def __init__(self, message):
-        super().__init__(message)

src/image_cleaner.py

@@ -1,79 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Video2X Image Cleaner
-Author: BrianPetkovsek
-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.
-"""
-
-# built-in imports
-import threading
-import time
-
-
-class ImageCleaner(threading.Thread):
-    """ Video2X Image Cleaner
-
-    This class creates an object that keeps track of extracted
-    frames that has already been upscaled and are not needed
-    anymore. It then deletes them to save disk space.
-
-    Extends:
-        threading.Thread
-    """
-
-    def __init__(self, input_directory, output_directory, threads):
-        threading.Thread.__init__(self)
-        self.input_directory = input_directory
-        self.output_directory = output_directory
-        self.threads = threads
-        self.running = False
-
-    def run(self):
-        """ Run image cleaner
-        """
-        self.running = True
-
-        while self.running:
-            self.remove_upscaled_frames()
-            time.sleep(1)
-
-    def stop(self):
-        """ Stop the image cleaner
-        """
-        self.running = False
-        self.join()
-
-    def remove_upscaled_frames(self):
-        """ remove frames that have already been upscaled
-
-        This method compares the files in the extracted frames
-        directory with the upscaled frames directory, and removes
-        the frames that has already been upscaled.
-        """
-
-        # list all images in the extracted frames
-        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
-        for thread_id in range(self.threads):
-            dir_path = self.input_directory / str(thread_id)
-
-            # for each file within all the directories
-            for file in dir_path.iterdir():
-                # if file also exists in the output directory, then the file
-                # has already been processed, thus not needed anymore
-                if file.is_file() and file.name in output_frames:
-                    file.unlink()
-                    output_frames.remove(file.name)

src/locale/zh_CN/LC_MESSAGES/zh_CN.po

@@ -1,280 +0,0 @@
-# SOME DESCRIPTIVE TITLE.
-# Copyright (C) YEAR ORGANIZATION
-# FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
-#
-msgid ""
-msgstr ""
-"Project-Id-Version: \n"
-"POT-Creation-Date: 2020-05-08 22:10-0400\n"
-"PO-Revision-Date: 2020-05-08 22:11-0400\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\n"
-"Plural-Forms: nplurals=1; plural=0;\n"
-
-#: progress_monitor.py:42
-msgid "Upscaling Progress"
-msgstr "放大进度"
-
-#: upscaler.py:105
-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:111
-msgid "Creating cache directory {}"
-msgstr "创建缓存目录 {}"
-
-#: upscaler.py:114
-msgid "Unable to create {}"
-msgstr "无法创建 {}"
-
-#: upscaler.py:119
-msgid "Extracted frames are being saved to: {}"
-msgstr "提取的帧将被保存到：{}"
-
-#: upscaler.py:121
-msgid "Upscaled frames are being saved to: {}"
-msgstr "已放大的帧将被保存到：{}"
-
-#: upscaler.py:131
-msgid "Cleaning up cache directory: {}"
-msgstr "清理缓存目录：{}"
-
-#: upscaler.py:134
-msgid "Unable to delete: {}"
-msgstr "无法删除：{}"
-
-#: upscaler.py:140 upscaler.py:155 upscaler.py:166
-msgid "Input and output path type mismatch"
-msgstr "输入和输出路径类型不匹配"
-
-#: upscaler.py:141
-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:145
-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:149 upscaler.py:171
-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:156
-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:159
-msgid "No suffix found in output file path"
-msgstr "在输出文件路径中未找到后缀"
-
-#: upscaler.py:160
-msgid "Suffix must be specified for FFmpeg"
-msgstr "必须为 FFmpeg 指定后缀"
-
-#: upscaler.py:167
-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:176
-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:185
-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:186 upscaler.py:196
-msgid "Please check the configuration file settings"
-msgstr "请检查配置文件设置"
-
-#: upscaler.py:195
-msgid "Specified driver executable directory doesn't exist"
-msgstr "指定驱动的可执行文件不存在"
-
-#: upscaler.py:222
-msgid "Failed to parse driver argument: {}"
-msgstr "解析驱动程序参数失败：{}"
-
-#: upscaler.py:237
-msgid "Unrecognized driver: {}"
-msgstr "无法识别的驱动名称：{}"
-
-#: upscaler.py:309
-msgid "Starting progress monitor"
-msgstr "启动进度监视器"
-
-#: upscaler.py:314
-msgid "Starting upscaled image cleaner"
-msgstr "启动已放大图像清理程序"
-
-#: upscaler.py:323 upscaler.py:340
-msgid "Killing progress monitor"
-msgstr "终结进度监视器"
-
-#: upscaler.py:326 upscaler.py:343
-msgid "Killing upscaled image cleaner"
-msgstr "终结已放大图像清理程序"
-
-#: upscaler.py:347
-msgid "Terminating all processes"
-msgstr "正在终止所有进程"
-
-#: upscaler.py:354
-msgid "Main process waiting for subprocesses to exit"
-msgstr "主进程开始等待子进程结束"
-
-#: upscaler.py:373 upscaler.py:377
-msgid "Subprocess {} exited with code {}"
-msgstr "子进程 {} 结束，返回码 {}"
-
-#: upscaler.py:383
-msgid "Stop signal received"
-msgstr "收到停止信号"
-
-#: upscaler.py:388
-msgid "Subprocess execution ran into an error"
-msgstr "子进程执行遇到错误"
-
-#: upscaler.py:430
-msgid "Upscaling single video file: {}"
-msgstr "放大单个视频文件：{}"
-
-#: upscaler.py:452 upscaler.py:515
-msgid "Starting to upscale extracted images"
-msgstr "开始对提取的帧进行放大"
-
-#: upscaler.py:461 upscaler.py:517
-msgid "Upscaling completed"
-msgstr "放大完成"
-
-#: upscaler.py:470
-msgid "Reading video information"
-msgstr "读取视频信息"
-
-#: upscaler.py:484
-msgid "Aborting: No video stream found"
-msgstr "程序中止：文件中未找到视频流"
-
-#: upscaler.py:502
-msgid "Unsupported pixel format: {}"
-msgstr "不支持的像素格式：{}"
-
-#: upscaler.py:505
-msgid "Framerate: {}"
-msgstr "帧率：{}"
-
-#: upscaler.py:520
-msgid "Converting extracted frames into video"
-msgstr "将提取的帧转换为视频"
-
-#: upscaler.py:525
-msgid "Conversion completed"
-msgstr "转换已完成"
-
-#: upscaler.py:528
-msgid "Migrating audio tracks and subtitles to upscaled video"
-msgstr "将音轨和字幕迁移到放大后的视频"
-
-#: video2x.py:87
-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:109
-msgid "General Options"
-msgstr "通用选项"
-
-#: video2x.py:110
-msgid "show this help message and exit"
-msgstr "显示此帮助消息并退出"
-
-#: video2x.py:111
-msgid "source video file/directory"
-msgstr "源视频文件/目录"
-
-#: video2x.py:112
-msgid "output video file/directory"
-msgstr "输出视频文件/目录"
-
-#: video2x.py:113
-msgid "video2x config file path"
-msgstr "video2x 配置文件路径"
-
-#: video2x.py:115
-msgid "upscaling driver"
-msgstr "视频放大驱动"
-
-#: video2x.py:116
-msgid "number of processes to use for upscaling"
-msgstr "并发进程数"
-
-#: video2x.py:117
-msgid "display version, lawful information and exit"
-msgstr "显示版本和法律信息并退出"
-
-#: video2x.py:120
-msgid "Scaling Options"
-msgstr "缩放选项"
-
-#: video2x.py:121
-msgid "output video width"
-msgstr "输出视频宽度"
-
-#: video2x.py:122
-msgid "output video height"
-msgstr "输出视频高度"
-
-#: video2x.py:123
-msgid "scaling ratio"
-msgstr "缩放比"
-
-#: video2x.py:163
-msgid "This file cannot be imported"
-msgstr "此文件无法被当作模块导入"
-
-#: video2x.py:224
-msgid "Program completed, taking {} seconds"
-msgstr "程序执行完毕，总计花费 {} 秒"
-
-#: video2x.py:227
-msgid "An exception has occurred"
-msgstr "发生了异常"
-
-#~ 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：{}"

src/progress_monitor.py

@@ -1,61 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Video2X Upscale Progress Monitor
-Author: BrianPetkovsek
-Date Created: May 7, 2020
-Last Modified: May 7, 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):
-                    self.upscaler.total_frames_upscaled = len([f for f in self.upscaler.upscaled_frames.iterdir() if str(f).lower().endswith(self.upscaler.image_format.lower())])
-
-                    # 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()

src/requirements.txt

@@ -1,9 +0,0 @@
-avalon_framework
-colorama
-patool
-psutil
-pyqt5
-pyunpack
-pyyaml
-requests
-tqdm

src/upscaler.py

@@ -1,544 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Video2X Upscaler
-Author: K4YT3X
-Date Created: December 10, 2018
-Last Modified: May 8, 2020
-
-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 exceptions import *
-from image_cleaner import ImageCleaner
-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 time
-import traceback
-
-# third-party imports
-from avalon_framework import Avalon
-
-# 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:
-    """ An instance of this class is a upscaler that will
-    upscale all images in the given directory.
-
-    Raises:
-        Exception -- all exceptions
-        ArgumentError -- if argument is not valid
-    """
-
-    def __init__(self, input_path, output_path, driver_settings, ffmpeg_settings):
-        # mandatory arguments
-        self.input = input_path
-        self.output = output_path
-        self.driver_settings = driver_settings
-        self.ffmpeg_settings = ffmpeg_settings
-
-        # optional arguments
-        self.driver = 'waifu2x_caffe'
-        self.scale_width = None
-        self.scale_height = None
-        self.scale_ratio = None
-        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()
-
-    def create_temp_directories(self):
-        """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(_('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(_('Upscaled frames are being saved to: {}').format(self.upscaled_frames))
-
-    def cleanup_temp_directories(self):
-        """delete temp directories when done
-        """
-        if not self.preserve_frames:
-            for directory in [self.extracted_frames, self.upscaled_frames, self.video2x_cache_directory]:
-                try:
-                    # avalon framework cannot be used if python is shutting down
-                    # therefore, plain print is used
-                    print(_('Cleaning up cache directory: {}').format(directory))
-                    shutil.rmtree(directory)
-                except (OSError, FileNotFoundError):
-                    print(_('Unable to delete: {}').format(directory))
-                    traceback.print_exc()
-
-    def _check_arguments(self):
-        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):
-                    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 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')
-
-        # 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')
-
-        # 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 Fmpeg 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
-
-    def _upscale_frames(self):
-        """ Upscale video frames with waifu2x-caffe
-
-        This function upscales all the frames extracted
-        by ffmpeg using the waifu2x-caffe binary.
-
-        Arguments:
-            w2 {Waifu2x Object} -- initialized waifu2x object
-        """
-
-        # initialize waifu2x driver
-        if self.driver not in AVAILABLE_DRIVERS:
-            raise UnrecognizedDriverError(_('Unrecognized driver: {}').format(self.driver))
-
-        # 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 processes,
-        # create only the processes necessary
-        if len(frames) < self.processes:
-            self.processes = len(frames)
-
-        # 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)
-
-            # 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 == 'waifu2x_converter_cpp':
-            process_directories = [self.extracted_frames]
-
-        else:
-            # evenly distribute images into each directory
-            # until there is none left in the directory
-            for image in frames:
-                # move image
-                image.rename(process_directories[0] / image.name)
-                # rotate list
-                process_directories = process_directories[-1:] + process_directories[:-1]
-
-        # create threads and start them
-        for process_directory in process_directories:
-
-            DriverWrapperMain = getattr(importlib.import_module(f'wrappers.{self.driver}'), 'WrapperMain')
-            driver = DriverWrapperMain(copy.deepcopy(self.driver_settings))
-
-            # if the driver being used is waifu2x-caffe
-            if self.driver == 'waifu2x_caffe':
-                self.process_pool.append(driver.upscale(process_directory,
-                                                        self.upscaled_frames,
-                                                        self.scale_ratio,
-                                                        self.scale_width,
-                                                        self.scale_height,
-                                                        self.image_format,
-                                                        self.bit_depth))
-
-            # if the driver being used is waifu2x-converter-cpp
-            elif self.driver == 'waifu2x_converter_cpp':
-                self.process_pool.append(driver.upscale(process_directory,
-                                                        self.upscaled_frames,
-                                                        self.scale_ratio,
-                                                        self.processes,
-                                                        self.image_format))
-
-            # if the driver being used is waifu2x-ncnn-vulkan
-            elif self.driver == 'waifu2x_ncnn_vulkan':
-                self.process_pool.append(driver.upscale(process_directory,
-                                                        self.upscaled_frames,
-                                                        self.scale_ratio))
-
-            # if the driver being used is srmd_ncnn_vulkan
-            elif self.driver == 'srmd_ncnn_vulkan':
-                self.process_pool.append(driver.upscale(process_directory,
-                                                        self.upscaled_frames,
-                                                        self.scale_ratio))
-
-        # 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)
-
-                    else:
-                        Avalon.debug_info(_('Subprocess {} exited with code {}').format(process.pid, process_status))
-                        self.process_pool.remove(process)
-
-                time.sleep(0.1)
-
-        except (KeyboardInterrupt, SystemExit) as e:
-            Avalon.warning(_('Stop signal received'))
-            self._terminate_subprocesses()
-            raise e
-
-        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
-
-        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 = []
-
-        # parse arguments for waifu2x
-        # check argument sanity
-        self._check_arguments()
-
-        # define processing queue
-        self.processing_queue = queue.Queue()
-
-        # 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)
-
-            for input_path in self.input:
-
-                if input_path.is_file():
-                    output_video = self.output / input_path.name
-                    self.processing_queue.put((input_path.absolute(), output_video.absolute()))
-
-                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()))
-
-        # 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()))
-
-        # if input specified is a directory
-        elif self.input.is_dir():
-
-            # 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()))
-
-        # record video count for external calls
-        self.total_videos = self.processing_queue.qsize()
-
-        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'))
-
-                # import and initialize Anime4KCPP wrapper
-                DriverWrapperMain = getattr(importlib.import_module('wrappers.anime4kcpp'), 'WrapperMain')
-                driver = DriverWrapperMain(copy.deepcopy(self.driver_settings))
-
-                # run Anime4KCPP
-                self.process_pool.append(driver.upscale(self.current_input_video, output_video, self.scale_ratio, self.processes))
-                self._wait()
-                Avalon.info(_('Upscaling completed'))
-
-            else:
-                try:
-                    self.create_temp_directories()
-
-                    # initialize objects for ffmpeg and waifu2x-caffe
-                    fm = Ffmpeg(self.ffmpeg_settings, self.image_format)
-
-                    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']
-
-                    # 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]['avg_frame_rate']))
-                    fm.pixel_format = video_info['streams'][video_stream_index]['pix_fmt']
-
-                    # 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.bit_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
-                    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)
-
-                    # 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.convert_video(framerate, f'{self.scale_width}x{self.scale_height}', self.upscaled_frames))
-                    self._wait()
-                    Avalon.info(_('Conversion completed'))
-
-                    # migrate audio tracks and subtitles
-                    Avalon.info(_('Migrating audio tracks and subtitles to upscaled video'))
-                    self.process_pool.append(fm.migrate_audio_tracks_subtitles(self.current_input_video, output_video, self.upscaled_frames))
-                    self._wait()
-
-                    # destroy temp directories
-                    self.cleanup_temp_directories()
-
-                except (Exception, KeyboardInterrupt, SystemExit) as e:
-                    with contextlib.suppress(ValueError):
-                        self.cleanup_temp_directories()
-                    raise e
-
-            # increment total number of videos processed
-            self.total_processed += 1
-
-        # signal upscaling completion
-        self.running = False

src/video2x.py

@@ -1,228 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-r"""
-
-__      __  _       _                  ___   __   __
-\ \    / / (_)     | |                |__ \  \ \ / /
- \ \  / /   _    __| |   ___    ___      ) |  \ V /
-  \ \/ /   | |  / _` |  / _ \  / _ \    / /    > <
-   \  /    | | | (_| | |  __/ | (_) |  / /_   / . \
-    \/     |_|  \__,_|  \___|  \___/  |____| /_/ \_\
-
-
-Name: Video2X Controller
-Creator: K4YT3X
-Date Created: Feb 24, 2018
-Last Modified: May 7, 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
-
-(C) 2018 - 2020 K4YT3X
-
-Video2X is free software: you can redistribute it and/or modify
-it under the terms of the GNU General Public License as published by
-the Free Software Foundation, either version 3 of the License, or
-(at your option) any later version.
-
-Video2X is distributed in the hope that it will be useful,
-but WITHOUT ANY WARRANTY; without even the implied warranty of
-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/>.
-
-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.
-"""
-
-# local imports
-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
-import traceback
-import yaml
-
-# third-party imports
-from avalon_framework import Avalon
-
-# 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 = '4.0.0'
-
-LEGAL_INFO = _('''Video2X Version: {}
-Author: K4YT3X
-License: GNU GPL v3
-Github Page: https://github.com/k4yt3x/video2x
-Contact: k4yt3x@k4yt3x.com''').format(VERSION)
-
-LOGO = r'''
-    __      __  _       _                  ___   __   __
-    \ \    / / (_)     | |                |__ \  \ \ / /
-     \ \  / /   _    __| |   ___    ___      ) |  \ V /
-      \ \/ /   | |  / _` |  / _ \  / _ \    / /    > <
-       \  /    | | | (_| | |  __/ | (_) |  / /_   / . \
-        \/     |_|  \__,_|  \___|  \___/  |____| /_/ \_\
-'''
-
-
-def parse_arguments():
-    """ parse CLI arguments
-    """
-    parser = argparse.ArgumentParser(prog='video2x', formatter_class=argparse.ArgumentDefaultsHelpFormatter, add_help=False)
-
-    # video options
-    general_options = parser.add_argument_group(_('General Options'))
-    general_options.add_argument('-h', '--help', action='help', help=_('show this help message and exit'))
-    general_options.add_argument('-i', '--input', type=pathlib.Path, help=_('source video file/directory'))
-    general_options.add_argument('-o', '--output', type=pathlib.Path, help=_('output video file/directory'))
-    general_options.add_argument('-c', '--config', type=pathlib.Path, help=_('video2x config file path'), action='store',
-                                 default=pathlib.Path(__file__).parent.absolute() / 'video2x.yaml')
-    general_options.add_argument('-d', '--driver', help=_('upscaling driver'), choices=AVAILABLE_DRIVERS, default='waifu2x_caffe')
-    general_options.add_argument('-p', '--processes', help=_('number of processes to use for upscaling'), action='store', type=int, default=1)
-    general_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)
-
-    # if no driver arguments are specified
-    if '--' not in sys.argv:
-        video2x_args = parser.parse_args()
-        return video2x_args, None
-
-    # 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():
-    """print video2x logo"""
-    print(LOGO)
-    print(f'\n{"Video2X Video Enlarger".rjust(40, " ")}')
-    print(f'\n{Avalon.FM.BD}{f"Version {VERSION}".rjust(36, " ")}{Avalon.FM.RST}\n')
-
-
-def read_config(config_file: pathlib.Path) -> dict:
-    """ read video2x configurations from config file
-
-    Arguments:
-        config_file {pathlib.Path} -- video2x configuration file pathlib.Path
-
-    Returns:
-        dict -- dictionary of video2x configuration
-    """
-
-    with open(config_file, 'r') as config:
-        return yaml.load(config, Loader=yaml.FullLoader)
-
-
-# /////////////////// Execution /////////////////// #
-
-# this is not a library
-if __name__ != '__main__':
-    Avalon.error(_('This file cannot be imported'))
-    raise ImportError(f'{__file__} cannot be imported')
-
-# print video2x logo
-print_logo()
-
-# parse command line arguments
-video2x_args, driver_args = parse_arguments()
-
-# display version and lawful informaition
-if video2x_args.version:
-    print(LEGAL_INFO)
-    sys.exit(0)
-
-# read configurations from configuration file
-config = read_config(video2x_args.config)
-
-# load waifu2x configuration
-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']
-video2x_cache_directory = 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()
-
-    # initialize upscaler object
-    upscaler = Upscaler(input_path=video2x_args.input,
-                        output_path=video2x_args.output,
-                        driver_settings=driver_settings,
-                        ffmpeg_settings=ffmpeg_settings)
-
-    # set upscaler optional options
-    upscaler.driver = video2x_args.driver
-    upscaler.scale_width = video2x_args.width
-    upscaler.scale_height = video2x_args.height
-    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
-
-    # run upscaler
-    upscaler.run()
-
-    Avalon.info(_('Program completed, taking {} seconds').format(round((time.time() - begin_time), 5)))
-
-except Exception:
-    Avalon.error(_('An exception has occurred'))
-    traceback.print_exc()

src/video2x.yaml

@@ -1,140 +0,0 @@
-# Name: Video2X Configuration File
-# Creator: K4YT3X
-# Date Created: October 23, 2018
-# Last Modified: May 8, 2020
-# Items commented out are parameters handled by Video2x.
-waifu2x_caffe:
-  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 chaneel 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: null # custom scale height
-  #scale_width: null # custom scale width
-  #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 # extention to output image file when output_path is (auto) or input_path is folder
-  input_extention_list: null # extention 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: '%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: '%LOCALAPPDATA%\video2x\ffmpeg-latest-win64-static\bin'
-  # step 1: extract all frames from original video
-  # into temporary directory
-  video_to_frames:
-    output_options:
-      '-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': null
-      '-qscale:a': null
-      '-f': image2
-    output_options:
-      '-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': null
-      '-metadata': 'comment=Upscaled by Video2X'
-    '-hwaccel': auto
-    '-y': true
-video2x:
-  video2x_cache_directory: null # default: %TEMP%\video2x
-  image_format: png
-  preserve_frames: false

src/video2x_gui.py

@@ -1,826 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Creator: Video2X GUI
-Author: K4YT3X
-Date Created: May 5, 2020
-Last Modified: May 8, 2020
-"""
-
-# local imports
-from upscaler import Upscaler
-
-# built-in imports
-import contextlib
-import os
-import pathlib
-import sys
-import tempfile
-import time
-import traceback
-import yaml
-
-# third-party imports
-from PyQt5 import QtGui, uic
-from PyQt5.QtCore import *
-from PyQt5.QtWidgets import *
-# QObject, pyqtSlot, pyqtSignal, QRunnable, QThreadPool, QAbstractTableModel, Qt
-
-VERSION = '2.0.0'
-
-LEGAL_INFO = f'''Video2X GUI Version: {VERSION}
-Author: K4YT3X
-License: GNU GPL v3
-Github Page: https://github.com/k4yt3x/video2x
-Contact: k4yt3x@k4yt3x.com'''
-
-AVAILABLE_DRIVERS = {
-    'Waifu2X Caffe': 'waifu2x_caffe',
-    'Waifu2X Converter CPP': 'waifu2x_converter_cpp',
-    'Waifu2X NCNN Vulkan': 'waifu2x_ncnn_vulkan',
-    'SRMD NCNN Vulkan': 'srmd_ncnn_vulkan',
-    'Anime4KCPP': 'anime4kcpp'
-}
-
-
-def resource_path(relative_path: str) -> pathlib.Path:
-    try:
-        base_path = pathlib.Path(sys._MEIPASS)
-    except AttributeError:
-        base_path = pathlib.Path(__file__).parent
-    return base_path / relative_path
-
-
-class WorkerSignals(QObject):
-    progress = pyqtSignal(tuple)
-    error = pyqtSignal(Exception)
-    interrupted = pyqtSignal()
-    finished = pyqtSignal()
-
-
-class ProgressMonitorWorkder(QRunnable):
-    def __init__(self, fn, *args, **kwargs):
-        super(ProgressMonitorWorkder, self).__init__()
-        self.fn = fn
-        self.args = args
-        self.kwargs = kwargs
-        self.signals = WorkerSignals()
-        self.kwargs['progress_callback'] = self.signals.progress
-
-    @pyqtSlot()
-    def run(self):
-        try:
-            self.fn(*self.args, **self.kwargs)
-        except Exception:
-            pass
-
-
-class UpscalerWorker(QRunnable):
-
-    def __init__(self, fn, *args, **kwargs):
-        super(UpscalerWorker, self).__init__()
-
-        # Store constructor arguments (re-used for processing)
-        self.fn = fn
-        self.args = args
-        self.kwargs = kwargs
-        self.signals = WorkerSignals()
-
-    @pyqtSlot()
-    def run(self):
-
-        # Retrieve args/kwargs here; and fire processing using them
-        try:
-            self.fn(*self.args, **self.kwargs)
-        except (KeyboardInterrupt, SystemExit):
-            self.signals.interrupted.emit()
-        except Exception as e:
-            traceback.print_exc()
-            self.signals.error.emit(e)
-        else:
-            self.signals.finished.emit()
-
-
-class InputTableModel(QAbstractTableModel):
-    def __init__(self, data):
-        super(InputTableModel, self).__init__()
-        self._data = data
-
-    def data(self, index, role):
-        if role == Qt.DisplayRole:
-
-            if index.column() == 0:
-                return str(self._data[index.row()].absolute())
-            else:
-                if self._data[index.row()].is_file():
-                    return 'File'
-                elif self._data[index.row()].is_dir():
-                    return 'Folder'
-                else:
-                    return 'Unknown'
-
-    def rowCount(self, index):
-        return len(self._data)
-
-    def columnCount(self, index):
-        return 2
-
-    def removeRow(self, index):
-        self._data.pop(index)
-
-    def headerData(self, section, orientation, role):
-        # section is the index of the column/row.
-        if role != Qt.DisplayRole:
-            return None
-
-        horizontal_headers = ['File Path', 'Type']
-
-        # return the correspondign header
-        if orientation == Qt.Horizontal:
-            return horizontal_headers[section]
-
-        # simply return the line number
-        if orientation == Qt.Vertical:
-            return str(section)
-
-
-class Video2XMainWindow(QMainWindow):
-
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        uic.loadUi(str(resource_path('video2x_gui.ui')), self)
-
-        # create thread pool for upscaler workers
-        self.threadpool = QThreadPool()
-
-        # set window title and icon
-        self.video2x_icon_path = str(resource_path('images/video2x.png'))
-        self.setWindowTitle(f'Video2X GUI {VERSION}')
-        self.setWindowIcon(QtGui.QIcon(self.video2x_icon_path))
-
-        # menu bar
-        self.action_exit = self.findChild(QAction, 'actionExit')
-        self.action_exit.triggered.connect(sys.exit)
-
-        self.action_about = self.findChild(QAction, 'actionAbout')
-        self.action_about.triggered.connect(self.show_about)
-
-        # main tab
-        # select input file/folder
-        self.input_table_view = self.findChild(QTableView, 'inputTableView')
-        self.input_table_view.dragEnterEvent = self.dragEnterEvent
-        self.input_table_view.dropEvent = self.dropEvent
-
-        # initialize data in table
-        self.input_table_data = []
-        self.input_table_model = InputTableModel(self.input_table_data)
-        self.input_table_view.setModel(self.input_table_model)
-        # stretch file path and fill columns horizontally
-        self.input_table_view.horizontalHeader().setSectionResizeMode(0, QHeaderView.Stretch)
-
-        # input table buttons
-        self.input_select_file_button = self.findChild(QPushButton, 'inputSelectFileButton')
-        self.input_select_file_button.clicked.connect(self.select_input_file)
-        self.input_select_folder_button = self.findChild(QPushButton, 'inputSelectFolderButton')
-        self.input_select_folder_button.clicked.connect(self.select_input_folder)
-        self.input_delete_selected_button = self.findChild(QPushButton, 'inputDeleteSelectedButton')
-        self.input_delete_selected_button.clicked.connect(self.input_table_delete_selected)
-        self.input_clear_all_button = self.findChild(QPushButton, 'inputClearAllButton')
-        self.input_clear_all_button.clicked.connect(self.input_table_clear_all)
-
-        # other paths selection
-        # select output file/folder
-        self.output_line_edit = self.findChild(QLineEdit, 'outputLineEdit')
-        self.enable_line_edit_file_drop(self.output_line_edit)
-        self.output_line_edit.setText(str((pathlib.Path().cwd() / 'output').absolute()))
-        self.output_select_file_button = self.findChild(QPushButton, 'outputSelectFileButton')
-        self.output_select_file_button.clicked.connect(self.select_output_file)
-        self.output_select_folder_button = self.findChild(QPushButton, 'outputSelectFolderButton')
-        self.output_select_folder_button.clicked.connect(self.select_output_folder)
-
-        # config file
-        self.config_line_edit = self.findChild(QLineEdit, 'configLineEdit')
-        self.enable_line_edit_file_drop(self.config_line_edit)
-        self.config_line_edit.setText(str((pathlib.Path(__file__).parent / 'video2x.yaml').absolute()))
-        self.config_select_file_button = self.findChild(QPushButton, 'configSelectButton')
-        self.config_select_file_button.clicked.connect(self.select_config_file)
-
-        # cache directory
-        self.cache_line_edit = self.findChild(QLineEdit, 'cacheLineEdit')
-        self.enable_line_edit_file_drop(self.cache_line_edit)
-        self.cache_select_folder_button = self.findChild(QPushButton, 'cacheSelectFolderButton')
-        self.cache_select_folder_button.clicked.connect(self.select_cache_folder)
-
-        # express settings
-        self.driver_combo_box = self.findChild(QComboBox, 'driverComboBox')
-        self.driver_combo_box.currentTextChanged.connect(self.update_gui_for_driver)
-        self.processes_spin_box = self.findChild(QSpinBox, 'processesSpinBox')
-        self.scale_ratio_double_spin_box = self.findChild(QDoubleSpinBox, 'scaleRatioDoubleSpinBox')
-        self.preserve_frames_check_box = self.findChild(QCheckBox, 'preserveFramesCheckBox')
-
-        # currently processing
-        self.currently_processing_label = self.findChild(QLabel, 'currentlyProcessingLabel')
-        self.current_progress_bar = self.findChild(QProgressBar, 'currentProgressBar')
-        self.time_elapsed_label = self.findChild(QLabel, 'timeElapsedLabel')
-        self.time_remaining_label = self.findChild(QLabel, 'timeRemainingLabel')
-        self.rate_label = self.findChild(QLabel, 'rateLabel')
-        self.frames_label = self.findChild(QLabel, 'framesLabel')
-
-        # overall progress
-        self.overall_progress_bar = self.findChild(QProgressBar, 'overallProgressBar')
-        self.overall_progress_label = self.findChild(QLabel, 'overallProgressLabel')
-        self.start_button = self.findChild(QPushButton, 'startButton')
-        self.start_button.clicked.connect(self.start)
-        self.stop_button = self.findChild(QPushButton, 'stopButton')
-        self.stop_button.clicked.connect(self.stop)
-
-        # driver settings
-        # waifu2x-caffe
-        self.waifu2x_caffe_path_line_edit = self.findChild(QLineEdit, 'waifu2xCaffePathLineEdit')
-        self.enable_line_edit_file_drop(self.waifu2x_caffe_path_line_edit)
-        self.waifu2x_caffe_path_select_button = self.findChild(QPushButton, 'waifu2xCaffePathSelectButton')
-        self.waifu2x_caffe_path_select_button.clicked.connect(lambda: self.select_driver_binary_path(self.waifu2x_caffe_path_line_edit))
-        self.waifu2x_caffe_mode_combo_box = self.findChild(QComboBox, 'waifu2xCaffeModeComboBox')
-        self.waifu2x_caffe_noise_level_spin_box = self.findChild(QSpinBox, 'waifu2xCaffeNoiseLevelSpinBox')
-        self.waifu2x_caffe_process_combo_box = self.findChild(QComboBox, 'waifu2xCaffeProcessComboBox')
-        self.waifu2x_caffe_model_combobox = self.findChild(QComboBox, 'waifu2xCaffeModelComboBox')
-        self.waifu2x_caffe_crop_size_spin_box = self.findChild(QSpinBox, 'waifu2xCaffeCropSizeSpinBox')
-        self.waifu2x_caffe_output_quality_spin_box = self.findChild(QSpinBox, 'waifu2xCaffeOutputQualitySpinBox')
-        self.waifu2x_caffe_output_depth_spin_box = self.findChild(QSpinBox, 'waifu2xCaffeOutputDepthSpinBox')
-        self.waifu2x_caffe_batch_size_spin_box = self.findChild(QSpinBox, 'waifu2xCaffeBatchSizeSpinBox')
-        self.waifu2x_caffe_gpu_spin_box = self.findChild(QSpinBox, 'waifu2xCaffeGpuSpinBox')
-        self.waifu2x_caffe_tta_check_box = self.findChild(QCheckBox, 'waifu2xCaffeTtaCheckBox')
-
-        # waifu2x-converter-cpp
-        self.waifu2x_converter_cpp_path_line_edit = self.findChild(QLineEdit, 'waifu2xConverterCppPathLineEdit')
-        self.enable_line_edit_file_drop(self.waifu2x_converter_cpp_path_line_edit)
-        self.waifu2x_converter_cpp_path_edit_button = self.findChild(QPushButton, 'waifu2xConverterCppPathSelectButton')
-        self.waifu2x_converter_cpp_path_edit_button.clicked.connect(lambda: self.select_driver_binary_path(self.waifu2x_converter_cpp_path_line_edit))
-        self.waifu2x_converter_cpp_png_compression_spin_box = self.findChild(QSpinBox, 'waifu2xConverterCppPngCompressionSpinBox')
-        self.waifu2x_converter_cpp_processor_spin_box = self.findChild(QSpinBox, 'waifu2xConverterCppProcessorSpinBox')
-        self.waifu2x_converter_cpp_model_combo_box = self.findChild(QComboBox, 'waifu2xConverterCppModelComboBox')
-        self.waifu2x_converter_cpp_mode_combo_box = self.findChild(QComboBox, 'waifu2xConverterCppModeComboBox')
-        self.waifu2x_converter_cpp_disable_gpu_check_box = self.findChild(QCheckBox, 'disableGpuCheckBox')
-        self.waifu2x_converter_cpp_tta_check_box = self.findChild(QCheckBox, 'ttaCheckBox')
-
-        # waifu2x-ncnn-vulkan
-        self.waifu2x_ncnn_vulkan_path_line_edit = self.findChild(QLineEdit, 'waifu2xNcnnVulkanPathLineEdit')
-        self.enable_line_edit_file_drop(self.waifu2x_ncnn_vulkan_path_line_edit)
-        self.waifu2x_ncnn_vulkan_path_select_button = self.findChild(QPushButton, 'waifu2xNcnnVulkanPathSelectButton')
-        self.waifu2x_ncnn_vulkan_path_select_button.clicked.connect(lambda: self.select_driver_binary_path(self.waifu2x_ncnn_vulkan_path_line_edit))
-        self.waifu2x_ncnn_vulkan_noise_level_spin_box = self.findChild(QSpinBox, 'waifu2xNcnnVulkanNoiseLevelSpinBox')
-        self.waifu2x_ncnn_vulkan_tile_size_spin_box = self.findChild(QSpinBox, 'waifu2xNcnnVulkanTileSizeSpinBox')
-        self.waifu2x_ncnn_vulkan_model_combo_box = self.findChild(QComboBox, 'waifu2xNcnnVulkanModelComboBox')
-        self.waifu2x_ncnn_vulkan_gpu_id_spin_box = self.findChild(QSpinBox, 'waifu2xNcnnVulkanGpuIdSpinBox')
-        self.waifu2x_ncnn_vulkan_jobs_line_edit = self.findChild(QLineEdit, 'waifu2xNcnnVulkanJobsLineEdit')
-        self.waifu2x_ncnn_vulkan_tta_check_box = self.findChild(QCheckBox, 'waifu2xNcnnVulkanTtaCheckBox')
-
-        # srmd-ncnn-vulkan
-        self.srmd_ncnn_vulkan_path_line_edit = self.findChild(QLineEdit, 'srmdNcnnVulkanPathLineEdit')
-        self.enable_line_edit_file_drop(self.srmd_ncnn_vulkan_path_line_edit)
-        self.srmd_ncnn_vulkan_path_select_button = self.findChild(QPushButton, 'srmdNcnnVulkanPathSelectButton')
-        self.srmd_ncnn_vulkan_path_select_button.clicked.connect(lambda: self.select_driver_binary_path(self.srmd_ncnn_vulkan_path_line_edit))
-        self.srmd_ncnn_vulkan_noise_level_spin_box = self.findChild(QSpinBox, 'srmdNcnnVulkanNoiseLevelSpinBox')
-        self.srmd_ncnn_vulkan_tile_size_spin_box = self.findChild(QSpinBox, 'srmdNcnnVulkanTileSizeSpinBox')
-        self.srmd_ncnn_vulkan_model_combo_box = self.findChild(QComboBox, 'srmdNcnnVulkanModelComboBox')
-        self.srmd_ncnn_vulkan_gpu_id_spin_box = self.findChild(QSpinBox, 'srmdNcnnVulkanGpuIdSpinBox')
-        self.srmd_ncnn_vulkan_jobs_line_edit = self.findChild(QLineEdit, 'srmdNcnnVulkanJobsLineEdit')
-        self.srmd_ncnn_vulkan_tta_check_box = self.findChild(QCheckBox, 'srmdNcnnVulkanTtaCheckBox')
-
-        # anime4k
-        self.anime4kcpp_path_line_edit = self.findChild(QLineEdit, 'anime4kCppPathLineEdit')
-        self.enable_line_edit_file_drop(self.anime4kcpp_path_line_edit)
-        self.anime4kcpp_path_select_button = self.findChild(QPushButton, 'anime4kCppPathSelectButton')
-        self.anime4kcpp_path_select_button.clicked.connect(lambda: self.select_driver_binary_path(self.anime4kcpp_path_line_edit))
-        self.anime4kcpp_passes_spin_box = self.findChild(QSpinBox, 'anime4kCppPassesSpinBox')
-        self.anime4kcpp_push_color_count_spin_box = self.findChild(QSpinBox, 'anime4kCppPushColorCountSpinBox')
-        self.anime4kcpp_strength_color_spin_box = self.findChild(QDoubleSpinBox, 'anime4kCppStrengthColorSpinBox')
-        self.anime4kcpp_strength_gradient_spin_box = self.findChild(QDoubleSpinBox, 'anime4kCppStrengthGradientSpinBox')
-        self.anime4kcpp_threads_spin_box = self.findChild(QSpinBox, 'anime4kCppThreadsSpinBox')
-        self.anime4kcpp_pre_filters_spin_box = self.findChild(QSpinBox, 'anime4kCppPreFiltersSpinBox')
-        self.anime4kcpp_post_filters_spin_box = self.findChild(QSpinBox, 'anime4kCppPostFiltersSpinBox')
-        self.anime4kcpp_platform_id_spin_box = self.findChild(QSpinBox, 'anime4kCppPlatformIdSpinBox')
-        self.anime4kcpp_device_id_spin_box = self.findChild(QSpinBox, 'anime4kCppDeviceIdSpinBox')
-        self.anime4kcpp_codec_combo_box = self.findChild(QComboBox, 'anime4kCppCodecComboBox')
-        self.anime4kcpp_fast_mode_check_box = self.findChild(QCheckBox, 'anime4kCppFastModeCheckBox')
-        self.anime4kcpp_pre_processing_check_box = self.findChild(QCheckBox, 'anime4kCppPreProcessingCheckBox')
-        self.anime4kcpp_post_processing_check_box = self.findChild(QCheckBox, 'anime4kCppPostProcessingCheckBox')
-        self.anime4kcpp_gpu_mode_check_box = self.findChild(QCheckBox, 'anime4kCppGpuModeCheckBox')
-
-        # load configurations
-        self.load_configurations()
-
-    def dragEnterEvent(self, event):
-        if event.mimeData().hasUrls():
-            event.accept()
-        else:
-            event.ignore()
-
-    def dropEvent(self, event):
-        input_paths = [pathlib.Path(u.toLocalFile()) for u in event.mimeData().urls()]
-        for path in input_paths:
-            if (path.is_file() or path.is_dir()) and not self.input_table_path_exists(path):
-                self.input_table_data.append(path)
-
-        self.update_input_table()
-        self.update_output_path()
-
-    def enable_line_edit_file_drop(self, line_edit: QLineEdit):
-        line_edit.dragEnterEvent = self.dragEnterEvent
-        line_edit.dropEvent = lambda event: line_edit.setText(str(pathlib.Path(event.mimeData().urls()[0].toLocalFile()).absolute()))
-
-    @staticmethod
-    def read_config(config_file: pathlib.Path) -> dict:
-        """ read video2x configurations from config file
-
-        Arguments:
-            config_file {pathlib.Path} -- video2x configuration file pathlib.Path
-
-        Returns:
-            dict -- dictionary of video2x configuration
-        """
-
-        with open(config_file, 'r') as config:
-            return yaml.load(config, Loader=yaml.FullLoader)
-
-    def load_configurations(self):
-
-        # get config file path from line edit
-        config_file_path = pathlib.Path(os.path.expandvars(self.config_line_edit.text()))
-
-        # if file doesn't exist, return
-        if not config_file_path.is_file():
-            QErrorMessage(self).showMessage('Video2X configuration file not found, please specify manually.')
-            return
-
-        # read configuration dict from config file
-        self.config = self.read_config(config_file_path)
-
-        # load FFmpeg settings
-        self.ffmpeg_settings = self.config['ffmpeg']
-        self.ffmpeg_settings['ffmpeg_path'] = str(pathlib.Path(os.path.expandvars(self.ffmpeg_settings['ffmpeg_path'])).absolute())
-
-        # set cache directory path
-        if self.config['video2x']['video2x_cache_directory'] is None:
-            video2x_cache_directory = str((pathlib.Path(tempfile.gettempdir()) / 'video2x').absolute())
-        self.cache_line_edit.setText(video2x_cache_directory)
-
-        # load preserve frames settings
-        self.preserve_frames_check_box.setChecked(self.config['video2x']['preserve_frames'])
-        self.start_button.setEnabled(True)
-
-        # waifu2x-caffe
-        settings = self.config['waifu2x_caffe']
-        self.waifu2x_caffe_path_line_edit.setText(str(pathlib.Path(os.path.expandvars(settings['path'])).absolute()))
-        self.waifu2x_caffe_mode_combo_box.setCurrentText(settings['mode'])
-        self.waifu2x_caffe_noise_level_spin_box.setValue(settings['noise_level'])
-        self.waifu2x_caffe_process_combo_box.setCurrentText(settings['process'])
-        self.waifu2x_caffe_crop_size_spin_box.setValue(settings['crop_size'])
-        self.waifu2x_caffe_output_quality_spin_box.setValue(settings['output_quality'])
-        self.waifu2x_caffe_output_depth_spin_box.setValue(settings['output_depth'])
-        self.waifu2x_caffe_batch_size_spin_box.setValue(settings['batch_size'])
-        self.waifu2x_caffe_gpu_spin_box.setValue(settings['gpu'])
-        self.waifu2x_caffe_tta_check_box.setChecked(bool(settings['tta']))
-
-        # waifu2x-converter-cpp
-        settings = self.config['waifu2x_converter_cpp']
-        self.waifu2x_converter_cpp_path_line_edit.setText(str(pathlib.Path(os.path.expandvars(settings['path'])).absolute()))
-        self.waifu2x_converter_cpp_png_compression_spin_box.setValue(settings['png-compression'])
-        self.waifu2x_converter_cpp_processor_spin_box.setValue(settings['processor'])
-        self.waifu2x_converter_cpp_mode_combo_box.setCurrentText(settings['mode'])
-        self.waifu2x_converter_cpp_disable_gpu_check_box.setChecked(settings['disable-gpu'])
-        self.waifu2x_converter_cpp_tta_check_box.setChecked(bool(settings['tta']))
-
-        # waifu2x-ncnn-vulkan
-        settings = self.config['waifu2x_ncnn_vulkan']
-        self.waifu2x_ncnn_vulkan_path_line_edit.setText(str(pathlib.Path(os.path.expandvars(settings['path'])).absolute()))
-        self.waifu2x_ncnn_vulkan_noise_level_spin_box.setValue(settings['n'])
-        self.waifu2x_ncnn_vulkan_tile_size_spin_box.setValue(settings['t'])
-        self.waifu2x_ncnn_vulkan_gpu_id_spin_box.setValue(settings['g'])
-        self.waifu2x_ncnn_vulkan_jobs_line_edit.setText(settings['j'])
-        self.waifu2x_ncnn_vulkan_tta_check_box.setChecked(settings['x'])
-
-        # srmd-ncnn-vulkan
-        settings = self.config['srmd_ncnn_vulkan']
-        self.srmd_ncnn_vulkan_path_line_edit.setText(str(pathlib.Path(os.path.expandvars(settings['path'])).absolute()))
-        self.srmd_ncnn_vulkan_noise_level_spin_box.setValue(settings['n'])
-        self.srmd_ncnn_vulkan_tile_size_spin_box.setValue(settings['t'])
-        self.srmd_ncnn_vulkan_gpu_id_spin_box.setValue(settings['g'])
-        self.srmd_ncnn_vulkan_jobs_line_edit.setText(settings['j'])
-        self.srmd_ncnn_vulkan_tta_check_box.setChecked(settings['x'])
-
-        # anime4k
-        settings = self.config['anime4kcpp']
-        self.anime4kcpp_path_line_edit.setText(str(pathlib.Path(os.path.expandvars(settings['path'])).absolute()))
-        self.anime4kcpp_passes_spin_box.setValue(settings['passes'])
-        self.anime4kcpp_push_color_count_spin_box.setValue(settings['pushColorCount'])
-        self.anime4kcpp_strength_color_spin_box.setValue(settings['strengthColor'])
-        self.anime4kcpp_strength_gradient_spin_box.setValue(settings['strengthGradient'])
-        self.anime4kcpp_threads_spin_box.setValue(settings['threads'])
-        self.anime4kcpp_pre_filters_spin_box.setValue(settings['preFilters'])
-        self.anime4kcpp_post_filters_spin_box.setValue(settings['postFilters'])
-        self.anime4kcpp_platform_id_spin_box.setValue(settings['platformID'])
-        self.anime4kcpp_device_id_spin_box.setValue(settings['deviceID'])
-        self.anime4kcpp_codec_combo_box.setCurrentText(settings['codec'])
-        self.anime4kcpp_fast_mode_check_box.setChecked(settings['fastMode'])
-        self.anime4kcpp_pre_processing_check_box.setChecked(settings['preprocessing'])
-        self.anime4kcpp_post_processing_check_box.setChecked(settings['postprocessing'])
-        self.anime4kcpp_gpu_mode_check_box.setChecked(settings['GPUMode'])
-
-    def resolve_driver_settings(self):
-
-        # waifu2x-caffe
-        self.config['waifu2x_caffe']['path'] = os.path.expandvars(self.waifu2x_caffe_path_line_edit.text())
-        self.config['waifu2x_caffe']['mode'] = self.waifu2x_caffe_mode_combo_box.currentText()
-        self.config['waifu2x_caffe']['noise_level'] = self.waifu2x_caffe_noise_level_spin_box.value()
-        self.config['waifu2x_caffe']['process'] = self.waifu2x_caffe_process_combo_box.currentText()
-        self.config['waifu2x_caffe']['model_dir'] = str((pathlib.Path(self.config['waifu2x_caffe']['path']).parent / 'models' / self.waifu2x_caffe_model_combobox.currentText()).absolute())
-        self.config['waifu2x_caffe']['crop_size'] = self.waifu2x_caffe_crop_size_spin_box.value()
-        self.config['waifu2x_caffe']['output_quality'] = self.waifu2x_caffe_output_depth_spin_box.value()
-        self.config['waifu2x_caffe']['output_depth'] = self.waifu2x_caffe_output_depth_spin_box.value()
-        self.config['waifu2x_caffe']['batch_size'] = self.waifu2x_caffe_batch_size_spin_box.value()
-        self.config['waifu2x_caffe']['gpu'] = self.waifu2x_caffe_gpu_spin_box.value()
-        self.config['waifu2x_caffe']['tta'] = int(self.waifu2x_caffe_tta_check_box.isChecked())
-
-        # waifu2x-converter-cpp
-        self.config['waifu2x_converter_cpp']['path'] = os.path.expandvars(self.waifu2x_converter_cpp_path_line_edit.text())
-        self.config['waifu2x_converter_cpp']['png-compression'] = self.waifu2x_converter_cpp_png_compression_spin_box.value()
-        self.config['waifu2x_converter_cpp']['processor'] = self.waifu2x_converter_cpp_processor_spin_box.value()
-        self.config['waifu2x_converter_cpp']['model-dir'] = str((pathlib.Path(self.config['waifu2x_converter_cpp']['path']).parent / self.waifu2x_converter_cpp_model_combo_box.currentText()).absolute())
-        self.config['waifu2x_converter_cpp']['mode'] = self.waifu2x_converter_cpp_mode_combo_box.currentText()
-        self.config['waifu2x_converter_cpp']['disable-gpu'] = bool(self.waifu2x_converter_cpp_disable_gpu_check_box.isChecked())
-        self.config['waifu2x_converter_cpp']['tta'] = int(self.waifu2x_converter_cpp_tta_check_box.isChecked())
-
-        # waifu2x-ncnn-vulkan
-        self.config['waifu2x_ncnn_vulkan']['path'] = os.path.expandvars(self.waifu2x_ncnn_vulkan_path_line_edit.text())
-        self.config['waifu2x_ncnn_vulkan']['n'] = self.waifu2x_ncnn_vulkan_noise_level_spin_box.value()
-        self.config['waifu2x_ncnn_vulkan']['t'] = self.waifu2x_ncnn_vulkan_tile_size_spin_box.value()
-        self.config['waifu2x_ncnn_vulkan']['m'] = str((pathlib.Path(self.config['waifu2x_ncnn_vulkan']['path']).parent / self.waifu2x_ncnn_vulkan_model_combo_box.currentText()).absolute())
-        self.config['waifu2x_ncnn_vulkan']['g'] = self.waifu2x_ncnn_vulkan_gpu_id_spin_box.value()
-        self.config['waifu2x_ncnn_vulkan']['j'] = self.waifu2x_ncnn_vulkan_jobs_line_edit.text()
-        self.config['waifu2x_ncnn_vulkan']['x'] = self.waifu2x_ncnn_vulkan_tta_check_box.isChecked()
-
-        # srmd-ncnn-vulkan
-        self.config['srmd_ncnn_vulkan']['path'] = os.path.expandvars(self.srmd_ncnn_vulkan_path_line_edit.text())
-        self.config['srmd_ncnn_vulkan']['n'] = self.srmd_ncnn_vulkan_noise_level_spin_box.value()
-        self.config['srmd_ncnn_vulkan']['t'] = self.srmd_ncnn_vulkan_tile_size_spin_box.value()
-        self.config['srmd_ncnn_vulkan']['m'] = str((pathlib.Path(self.config['srmd_ncnn_vulkan']['path']).parent / self.srmd_ncnn_vulkan_model_combo_box.currentText()).absolute())
-        self.config['srmd_ncnn_vulkan']['g'] = self.srmd_ncnn_vulkan_gpu_id_spin_box.value()
-        self.config['srmd_ncnn_vulkan']['j'] = self.srmd_ncnn_vulkan_jobs_line_edit.text()
-        self.config['srmd_ncnn_vulkan']['x'] = self.srmd_ncnn_vulkan_tta_check_box.isChecked()
-
-        # anime4k
-        self.config['anime4kcpp']['path'] = os.path.expandvars(self.anime4kcpp_path_line_edit.text())
-        self.config['anime4kcpp']['passes'] = self.anime4kcpp_passes_spin_box.value()
-        self.config['anime4kcpp']['pushColorCount'] = self.anime4kcpp_push_color_count_spin_box.value()
-        self.config['anime4kcpp']['strengthColor'] = self.anime4kcpp_strength_color_spin_box.value()
-        self.config['anime4kcpp']['strengthGradient'] = self.anime4kcpp_strength_gradient_spin_box.value()
-        self.config['anime4kcpp']['threads'] = self.anime4kcpp_threads_spin_box.value()
-        self.config['anime4kcpp']['preFilters'] = self.anime4kcpp_pre_filters_spin_box.value()
-        self.config['anime4kcpp']['postFilters'] = self.anime4kcpp_post_filters_spin_box.value()
-        self.config['anime4kcpp']['platformID'] = self.anime4kcpp_platform_id_spin_box.value()
-        self.config['anime4kcpp']['deviceID'] = self.anime4kcpp_device_id_spin_box.value()
-        self.config['anime4kcpp']['codec'] = self.anime4kcpp_codec_combo_box.currentText()
-        self.config['anime4kcpp']['fastMode'] = bool(self.anime4kcpp_fast_mode_check_box.isChecked())
-        self.config['anime4kcpp']['preprocessing'] = bool(self.anime4kcpp_pre_processing_check_box.isChecked())
-        self.config['anime4kcpp']['postprocessing'] = bool(self.anime4kcpp_post_processing_check_box.isChecked())
-        self.config['anime4kcpp']['GPUMode'] = bool(self.anime4kcpp_gpu_mode_check_box.isChecked())
-
-    def update_gui_for_driver(self):
-        current_driver = AVAILABLE_DRIVERS[self.driver_combo_box.currentText()]
-
-        # update scale ratio constraints
-        if current_driver in ['waifu2x_caffe', 'waifu2x_converter_cpp', 'anime4kcpp']:
-            self.scale_ratio_double_spin_box.setMinimum(0.0)
-            self.scale_ratio_double_spin_box.setMaximum(999.0)
-            self.scale_ratio_double_spin_box.setValue(2.0)
-        elif current_driver == 'waifu2x_ncnn_vulkan':
-            self.scale_ratio_double_spin_box.setMinimum(1.0)
-            self.scale_ratio_double_spin_box.setMaximum(2.0)
-            self.scale_ratio_double_spin_box.setValue(2.0)
-        elif current_driver == 'srmd_ncnn_vulkan':
-            self.scale_ratio_double_spin_box.setMinimum(2.0)
-            self.scale_ratio_double_spin_box.setMaximum(4.0)
-            self.scale_ratio_double_spin_box.setValue(2.0)
-
-        # update preferred processes/threads count
-        if current_driver == 'anime4kcpp':
-            self.processes_spin_box.setValue(16)
-        else:
-            self.processes_spin_box.setValue(1)
-
-    def update_input_table(self):
-        # HACK: use insertRow, removeRow and signals
-        del self.input_table_model
-        self.input_table_model = InputTableModel(self.input_table_data)
-        self.input_table_view.setModel(self.input_table_model)
-
-    def input_table_delete_selected(self):
-        items_to_delete = []
-        for index in [i.row() for i in self.input_table_view.selectedIndexes()]:
-            items_to_delete.append(self.input_table_data[index])
-
-        for item in items_to_delete:
-            self.input_table_data.remove(item)
-        self.update_input_table()
-
-    def input_table_clear_all(self):
-        self.input_table_data = []
-        self.update_input_table()
-
-    def input_table_path_exists(self, input_path):
-        for path in self.input_table_data:
-            # not using Path.samefile since file may not exist
-            if str(path.absolute()) == str(input_path.absolute()):
-                return True
-        return False
-
-    def select_file(self, *args, **kwargs) -> pathlib.Path:
-        file_selected = QFileDialog.getOpenFileName(self, *args, **kwargs)
-        if not isinstance(file_selected, tuple) or file_selected[0] == '':
-            return None
-        return pathlib.Path(file_selected[0])
-
-    def select_folder(self, *args, **kwargs) -> pathlib.Path:
-        folder_selected = QFileDialog.getExistingDirectory(self, *args, **kwargs)
-        if folder_selected == '':
-            return None
-        return pathlib.Path(folder_selected)
-
-    def update_output_path(self):
-        # if there is more than one input
-        if len(self.input_table_data) != 1:
-            return
-
-        input_path = self.input_table_data[0]
-        # give up if input path doesn't exist or isn't a file or a directory
-        if not input_path.exists() or not (input_path.is_file() or input_path.is_dir()):
-            return
-
-        if input_path.is_file():
-            output_path = input_path.parent / f'{input_path.stem}_output.mp4'
-        elif input_path.is_dir():
-            output_path = input_path.parent / f'{input_path.stem}_output'
-
-        # try up to 1000 times
-        output_path_id = 0
-        while output_path.exists() and output_path_id <= 1000:
-            if input_path.is_file():
-                output_path = input_path.parent / pathlib.Path(f'{input_path.stem}_output_{output_path_id}.mp4')
-            elif input_path.is_dir():
-                output_path = input_path.parent / pathlib.Path(f'{input_path.stem}_output_{output_path_id}')
-            output_path_id += 1
-
-        if not output_path.exists():
-            self.output_line_edit.setText(str(output_path.absolute()))
-
-    def select_input_file(self):
-        if ((input_file := self.select_file('Select Input File')) is None or
-                self.input_table_path_exists(input_file)):
-            return
-        self.input_table_data.append(input_file)
-        self.update_output_path()
-        self.update_input_table()
-
-    def select_input_folder(self):
-        if ((input_folder := self.select_folder('Select Input Folder')) is None or
-                self.input_table_path_exists(input_folder)):
-            return
-        self.input_table_data.append(input_folder)
-        self.update_output_path()
-        self.update_input_table()
-
-    def select_output_file(self):
-        if (output_file := self.select_file('Select Output File')) is None:
-            return
-        self.output_line_edit.setText(str(output_file.absolute()))
-
-    def select_output_folder(self):
-        if (output_folder := self.select_folder('Select Output Folder')) is None:
-            return
-        self.output_line_edit.setText(str(output_folder.absolute()))
-
-    def select_cache_folder(self):
-        if (cache_folder := self.select_folder('Select Cache Folder')) is None:
-            return
-        self.cache_line_edit.setText(str(cache_folder.absolute()))
-
-    def select_config_file(self):
-        if (config_file := self.select_file('Select Config File', filter='(YAML files (*.yaml))')) is None:
-            return
-        self.config_line_edit.setText(str(config_file.absolute()))
-        self.load_configurations()
-
-    def select_driver_binary_path(self, driver_line_edit):
-        if (driver_binary_path := self.select_file('Select Driver Binary File')) is None:
-            return
-        driver_line_edit.setText(str(driver_binary_path.absolute()))
-
-    def show_about(self, message: str):
-        message_box = QMessageBox(self)
-        message_box.setWindowTitle('About Video2X')
-        message_box.setIconPixmap(QtGui.QPixmap(self.video2x_icon_path).scaled(64, 64))
-        message_box.setText(LEGAL_INFO)
-        message_box.exec_()
-
-    def show_information(self, message: str):
-        message_box = QMessageBox(self)
-        message_box.setWindowTitle('Information')
-        message_box.setIcon(QMessageBox.Information)
-        message_box.setText(message)
-        message_box.exec_()
-
-    def show_warning(self, message: str):
-        message_box = QMessageBox(self)
-        message_box.setWindowTitle('Warning')
-        message_box.setIcon(QMessageBox.Warning)
-        message_box.setText(message)
-        message_box.exec_()
-
-    def show_error(self, exception: Exception):
-        # QErrorMessage(self).showMessage(message.replace('\n', '<br>'))
-        message_box = QMessageBox(self)
-        message_box.setWindowTitle('Error')
-        message_box.setIcon(QMessageBox.Critical)
-
-        error_message = '''Upscaler ran into an error:
-{}
-Check the console output for details.
-When reporting an error, please include console output.'''
-
-        try:
-            message_box.setText(error_message.format(exception.args[0]))
-        except (AttributeError, IndexError):
-            message_box.setText(error_message.format(exception))
-
-        message_box.exec_()
-
-    def progress_monitor(self, progress_callback):
-
-        # initialize progress bar values
-        upscale_begin_time = time.time()
-        progress_callback.emit((upscale_begin_time, 0, 0, 0, 0, pathlib.Path()))
-
-        # keep querying upscaling process and feed information to callback signal
-        while self.upscaler.running:
-
-            progress_callback.emit((upscale_begin_time,
-                                    self.upscaler.total_frames_upscaled,
-                                    self.upscaler.total_frames,
-                                    self.upscaler.total_processed,
-                                    self.upscaler.total_videos,
-                                    self.upscaler.current_input_video))
-            time.sleep(1)
-
-        # upscale process will stop at 99%
-        # so it's set to 100 manually when all is done
-        progress_callback.emit((upscale_begin_time, 0, 0, 0, 0, pathlib.Path()))
-
-    def set_progress(self, progress_information: tuple):
-        upscale_begin_time = progress_information[0]
-        total_frames_upscaled = progress_information[1]
-        total_frames = progress_information[2]
-        total_processed = progress_information[3]
-        total_videos = progress_information[4]
-        current_input_video = progress_information[5]
-
-        # calculate fields based on frames and time elapsed
-        time_elapsed = time.time() - upscale_begin_time
-        try:
-            rate = total_frames_upscaled / (time.time() - upscale_begin_time)
-            time_remaining = (total_frames - total_frames_upscaled) / rate
-        except Exception:
-            rate = 0.0
-            time_remaining = 0.0
-
-        # set calculated values in GUI
-        self.current_progress_bar.setMaximum(total_frames)
-        self.current_progress_bar.setValue(total_frames_upscaled)
-        self.frames_label.setText('Frames: {}/{}'.format(total_frames_upscaled, total_frames))
-        self.time_elapsed_label.setText('Time Elapsed: {}'.format(time.strftime("%H:%M:%S", time.gmtime(time_elapsed))))
-        self.time_remaining_label.setText('Time Remaining: {}'.format(time.strftime("%H:%M:%S", time.gmtime(time_remaining))))
-        self.rate_label.setText('Rate (FPS): {}'.format(round(rate, 2)))
-        self.overall_progress_label.setText('Overall Progress: {}/{}'.format(total_processed, total_videos))
-        self.overall_progress_bar.setMaximum(total_videos)
-        self.overall_progress_bar.setValue(total_processed)
-        self.currently_processing_label.setText('Currently Processing: {}'.format(str(current_input_video.name)))
-
-    def reset_progress_display(self):
-        # reset progress display UI elements
-        self.current_progress_bar.setMaximum(100)
-        self.current_progress_bar.setValue(0)
-        self.frames_label.setText('Frames: {}/{}'.format(0, 0))
-        self.time_elapsed_label.setText('Time Elapsed: {}'.format(time.strftime("%H:%M:%S", time.gmtime(0))))
-        self.time_remaining_label.setText('Time Remaining: {}'.format(time.strftime("%H:%M:%S", time.gmtime(0))))
-        self.rate_label.setText('Rate (FPS): {}'.format(0.0))
-        self.overall_progress_label.setText('Overall Progress: {}/{}'.format(0, 0))
-        self.overall_progress_bar.setMaximum(100)
-        self.overall_progress_bar.setValue(0)
-        self.currently_processing_label.setText('Currently Processing:')
-
-    def start(self):
-
-        # start execution
-        try:
-            # start timer
-            self.begin_time = time.time()
-
-            # resolve input and output directories from GUI
-            if len(self.input_table_data) == 0:
-                self.show_warning('Input path unspecified', standard_icon=QMessageBox.Warning)
-                return
-            if self.output_line_edit.text().strip() == '':
-                self.show_warning('Output path unspecified', standard_icon=QMessageBox.Warning)
-                return
-
-            if len(self.input_table_data) == 1:
-                input_directory = self.input_table_data[0]
-            else:
-                input_directory = self.input_table_data
-
-            # resolve output directory
-            output_directory = pathlib.Path(os.path.expandvars(self.output_line_edit.text()))
-
-            # load driver settings from GUI
-            self.resolve_driver_settings()
-
-            # load driver settings for the current driver
-            self.driver_settings = self.config[AVAILABLE_DRIVERS[self.driver_combo_box.currentText()]]
-
-            self.upscaler = Upscaler(input_path=input_directory,
-                                     output_path=output_directory,
-                                     driver_settings=self.driver_settings,
-                                     ffmpeg_settings=self.ffmpeg_settings)
-
-            # set optional options
-            self.upscaler.driver = AVAILABLE_DRIVERS[self.driver_combo_box.currentText()]
-            self.upscaler.scale_ratio = self.scale_ratio_double_spin_box.value()
-            self.upscaler.processes = self.processes_spin_box.value()
-            self.upscaler.video2x_cache_directory = pathlib.Path(os.path.expandvars(self.cache_line_edit.text()))
-            self.upscaler.image_format = self.config['video2x']['image_format'].lower()
-            self.upscaler.preserve_frames = bool(self.preserve_frames_check_box.isChecked())
-
-            # run upscaler
-            worker = UpscalerWorker(self.upscaler.run)
-            worker.signals.error.connect(self.upscale_errored)
-            worker.signals.interrupted.connect(self.upscale_interrupted)
-            worker.signals.finished.connect(self.upscale_successful)
-            self.threadpool.start(worker)
-
-            # start progress monitoring
-            progress_bar_worker = ProgressMonitorWorkder(self.progress_monitor)
-            progress_bar_worker.signals.progress.connect(self.set_progress)
-            self.threadpool.start(progress_bar_worker)
-
-            self.start_button.setEnabled(False)
-            self.stop_button.setEnabled(True)
-
-        except Exception as e:
-            traceback.print_exc()
-            self.upscale_errored(e)
-
-    def upscale_errored(self, exception: Exception):
-        self.show_error(exception)
-        self.threadpool.waitForDone(5)
-        self.start_button.setEnabled(True)
-        self.stop_button.setEnabled(False)
-        self.reset_progress_display()
-
-    def upscale_interrupted(self):
-        self.show_information('Upscale has been interrupted')
-        self.threadpool.waitForDone(5)
-        self.start_button.setEnabled(True)
-        self.stop_button.setEnabled(False)
-        self.reset_progress_display()
-
-    def upscale_successful(self):
-        # if all threads have finished
-        self.threadpool.waitForDone(5)
-        self.show_information('Upscale finished successfully, taking {} seconds'.format(round((time.time() - self.begin_time), 5)))
-        self.start_button.setEnabled(True)
-        self.stop_button.setEnabled(False)
-        self.reset_progress_display()
-
-    def stop(self):
-        with contextlib.suppress(AttributeError):
-            self.upscaler.running = False
-
-    def closeEvent(self, event):
-        # try cleaning up temp directories
-        self.stop()
-        event.accept()
-
-
-# this file shouldn't be imported
-if __name__ == '__main__':
-    try:
-        app = QApplication(sys.argv)
-        window = Video2XMainWindow()
-        window.show()
-        app.exec_()
-
-    # on GUI exception, print error message in console
-    # and hold window open using input()
-    except Exception:
-        traceback.print_exc()
-        input('Press enter to close')

src/video2x_gui.pyproject

@@ -1,3 +0,0 @@
-{
-    "files": ["video2x_gui.ui","video2x_gui.py"]
-}

src/video2x_gui.pyproject.user

@@ -1,190 +0,0 @@
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src/video2x_setup.py

@@ -1,412 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Video2X Setup Script
-Creator: K4YT3X
-Date Created: November 28, 2018
-Last Modified: May 8, 2020
-
-Editor: BrianPetkovsek
-Editor: SAT3LL
-
-Description: This script helps installing all dependencies of video2x
-and generates a configuration for it.
-
-Installation Details:
-- ffmpeg: %LOCALAPPDATA%\\video2x\\ffmpeg
-- waifu2x-caffe: %LOCALAPPDATA%\\video2x\\waifu2x-caffe
-- waifu2x-cpp-converter: %LOCALAPPDATA%\\video2x\\waifu2x-converter-cpp
-- waifu2x_ncnn_vulkan: %LOCALAPPDATA%\\video2x\\waifu2x-ncnn-vulkan
-- anime4kcpp: %LOCALAPPDATA%\\video2x\\anime4kcpp
-- srmd_ncnn_vulkan: %LOCALAPPDATA%\\video2x\\srmd-ncnn-vulkan
-"""
-
-# built-in imports
-from datetime import timedelta
-import argparse
-import contextlib
-import os
-import pathlib
-import re
-import shutil
-import subprocess
-import sys
-import tempfile
-import time
-import traceback
-import urllib
-import zipfile
-
-# Requests doesn't come with windows, therefore
-# it will be installed as a dependency and imported
-# later in the script.
-# import requests
-
-VERSION = '1.8.0'
-
-# global static variables
-LOCALAPPDATA = pathlib.Path(os.getenv('localappdata'))
-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():
-    """Processes CLI arguments
-    """
-    parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
-
-    # video options
-    general_options = parser.add_argument_group('General Options')
-    general_options.add_argument('-d', '--driver', help='driver to download and configure', action='store', choices=DRIVER_OPTIONS, default='all')
-
-    # parse arguments
-    return parser.parse_args()
-
-
-class Video2xSetup:
-    """ Install dependencies for video2x video enlarger
-
-    This library is meant to be executed as a stand-alone
-    script. All files will be installed under %LOCALAPPDATA%\\video2x.
-    """
-
-    def __init__(self, driver, download_python_modules):
-        self.driver = driver
-        self.download_python_modules = download_python_modules
-        self.trash = []
-
-    def run(self):
-        if self.download_python_modules:
-            print('\nInstalling Python libraries')
-            self._install_python_requirements()
-
-        if self.driver == 'all':
-            self._install_ffmpeg()
-            self._install_waifu2x_caffe()
-            self._install_waifu2x_converter_cpp()
-            self._install_waifu2x_ncnn_vulkan()
-            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_cpp':
-            self._install_waifu2x_converter_cpp()
-        elif self.driver == 'waifu2x_ncnn_vulkan':
-            self._install_waifu2x_ncnn_vulkan()
-        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()
-
-        print('\nCleaning up temporary files')
-        self._cleanup()
-
-    def _install_python_requirements(self):
-        """ Read requirements.txt and return its content
-        """
-        pip_install('requirements.txt')
-
-    def _cleanup(self):
-        """ Cleanup all the temp files downloaded
-        """
-        for file in self.trash:
-            try:
-                if file.is_dir():
-                    print(f'Deleting directory: {file}')
-                    shutil.rmtree(file)
-                else:
-                    print(f'Deleting file: {file}')
-                    file.unlink()
-            except Exception:
-                print(f'Error deleting: {file}')
-                traceback.print_exc()
-
-    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())
-        self.trash.append(ffmpeg_zip)
-
-        with zipfile.ZipFile(ffmpeg_zip) as zipf:
-            zipf.extractall(LOCALAPPDATA / 'video2x')
-
-    def _install_waifu2x_caffe(self):
-        """ Install waifu2x_caffe
-        """
-        print('\nInstalling waifu2x-caffe')
-        import requests
-
-        # Get latest release of waifu2x-caffe via GitHub API
-        latest_release = requests.get('https://api.github.com/repos/lltcggie/waifu2x-caffe/releases/latest').json()
-
-        for a in latest_release['assets']:
-            if 'waifu2x-caffe.zip' in a['browser_download_url']:
-                waifu2x_caffe_zip = download(a['browser_download_url'], tempfile.gettempdir())
-                self.trash.append(waifu2x_caffe_zip)
-
-        with zipfile.ZipFile(waifu2x_caffe_zip) as zipf:
-            zipf.extractall(LOCALAPPDATA / 'video2x')
-
-    def _install_waifu2x_converter_cpp(self):
-        """ Install waifu2x_caffe
-        """
-        print('\nInstalling waifu2x-converter-cpp')
-        import requests
-
-        # Get latest release of waifu2x-caffe via GitHub API
-        latest_release = requests.get('https://api.github.com/repos/DeadSix27/waifu2x-converter-cpp/releases/latest').json()
-
-        for a in latest_release['assets']:
-            if re.search(r'waifu2x-DeadSix27-win64_v[0-9]*\.zip', a['browser_download_url']):
-                waifu2x_converter_cpp_zip = download(a['browser_download_url'], tempfile.gettempdir())
-                self.trash.append(waifu2x_converter_cpp_zip)
-
-        with zipfile.ZipFile(waifu2x_converter_cpp_zip) as zipf:
-            zipf.extractall(LOCALAPPDATA / 'video2x' / 'waifu2x-converter-cpp')
-
-    def _install_waifu2x_ncnn_vulkan(self):
-        """ Install waifu2x-ncnn-vulkan
-        """
-        print('\nInstalling waifu2x-ncnn-vulkan')
-        import requests
-
-        # Get latest release of waifu2x-ncnn-vulkan via Github API
-        latest_release = requests.get('https://api.github.com/repos/nihui/waifu2x-ncnn-vulkan/releases/latest').json()
-
-        for a in latest_release['assets']:
-            if re.search(r'waifu2x-ncnn-vulkan-\d*\.zip', a['browser_download_url']):
-                waifu2x_ncnn_vulkan_zip = download(a['browser_download_url'], tempfile.gettempdir())
-                self.trash.append(waifu2x_ncnn_vulkan_zip)
-
-        # extract and rename
-        waifu2x_ncnn_vulkan_directory = LOCALAPPDATA / 'video2x' / 'waifu2x-ncnn-vulkan'
-        with zipfile.ZipFile(waifu2x_ncnn_vulkan_zip) as zipf:
-            zipf.extractall(LOCALAPPDATA / 'video2x')
-
-            # if directory already exists, remove it
-            if waifu2x_ncnn_vulkan_directory.exists():
-                shutil.rmtree(waifu2x_ncnn_vulkan_directory)
-
-            # rename the newly extracted directory
-            (LOCALAPPDATA / 'video2x' / zipf.namelist()[0]).rename(waifu2x_ncnn_vulkan_directory)
-
-    def _install_anime4kcpp(self):
-        """ Install Anime4KCPP
-        """
-        print('\nInstalling Anime4KCPP')
-
-        import pyunpack
-        import requests
-
-        # 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/TianZerL/Anime4KCPP/releases/latest').json()
-
-        for a in latest_release['assets']:
-            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 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
-        """
-        import yaml
-
-        # open current video2x configuration file as template
-        with open(VIDEO2X_CONFIG, 'r') as template:
-            template_dict = yaml.load(template, Loader=yaml.FullLoader)
-            template.close()
-
-        # configure only the specified drivers
-        if self.driver == 'all':
-            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')
-        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')
-        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
-        template_dict['video2x']['preserve_frames'] = False
-
-        # write configuration into file
-        with open(VIDEO2X_CONFIG, 'w') as config:
-            yaml.dump(template_dict, config)
-
-
-def download(url, save_path, chunk_size=4096):
-    """ Download file to local with requests library
-    """
-    from tqdm import tqdm
-    import requests
-
-    save_path = pathlib.Path(save_path)
-
-    # create target folder if it doesn't exist
-    save_path.mkdir(parents=True, exist_ok=True)
-
-    # create requests stream for steaming file
-    stream = requests.get(url, stream=True, allow_redirects=True)
-
-    # get file name
-    file_name = None
-    if 'content-disposition' in stream.headers:
-        disposition = stream.headers['content-disposition']
-        with contextlib.suppress(IndexError):
-            file_name = re.findall("filename=(.+)", disposition)[0].strip('"')
-
-    if file_name is None:
-        # output_file = f'{save_path}\\{stream.url.split("/")[-1]}'
-        output_file = save_path / stream.url.split('/')[-1]
-    else:
-        output_file = save_path / file_name
-
-    # decode url encoding
-    output_file = pathlib.Path(urllib.parse.unquote(str(output_file)))
-
-    # get total size for progress bar if provided in headers
-    total_size = 0
-    if 'content-length' in stream.headers:
-        total_size = int(stream.headers['content-length'])
-
-    # print download information summary
-    print(f'Downloading: {url}')
-    print(f'Total size: {total_size}')
-    print(f'Chunk size: {chunk_size}')
-    print(f'Saving to: {output_file}')
-
-    # Write content into file
-    with open(output_file, 'wb') as output:
-        with tqdm(total=total_size, ascii=True) as progress_bar:
-            for chunk in stream.iter_content(chunk_size=chunk_size):
-                if chunk:
-                    output.write(chunk)
-                    progress_bar.update(len(chunk))
-
-    # return the full path of saved file
-    return output_file
-
-
-def pip_install(file):
-    """ Install python package via python pip module
-
-    pip.main() is not available after pip 9.0.1, thus
-    pip module is not used in this case.
-    """
-    return subprocess.run([sys.executable, '-m', 'pip', 'install', '-U', '-r', file]).returncode
-
-
-if __name__ == '__main__':
-    try:
-        # set default exit code
-        EXIT_CODE = 0
-
-        # get start time
-        start_time = time.time()
-
-        # check platform
-        if sys.platform != 'win32':
-            print('This script is currently only compatible with Windows')
-            EXIT_CODE = 1
-            sys.exit(1)
-
-        # parse command line arguments
-        args = parse_arguments()
-        print('Video2X Setup Script')
-        print(f'Version: {VERSION}')
-
-        # do not install pip modules if script
-        # is packaged in exe format
-        download_python_modules = True
-        if sys.argv[0].endswith('.exe'):
-            print('\nScript is packaged as exe, skipping pip module download')
-            download_python_modules = False
-
-        setup = Video2xSetup(args.driver, download_python_modules)
-        setup.run()
-        print('\nScript finished successfully')
-
-    except SystemExit:
-        pass
-
-    # if PermissionError is raised
-    # user needs to run this with higher privilege
-    except PermissionError:
-        traceback.print_exc()
-        print('You might have insufficient privilege for this script to run')
-        print('Try running this script with Administrator privileges')
-        EXIT_CODE = 1
-
-    # for any exception in the script
-    except Exception:
-        traceback.print_exc()
-        print('An error has occurred')
-        print('Video2X Automatic Setup has failed')
-
-        # in case of a failure, try cleaning up temp files
-        try:
-            setup._cleanup()
-        except Exception:
-            traceback.print_exc()
-            print('An error occurred while trying to cleanup files')
-
-        EXIT_CODE = 1
-
-    # regardless if script finishes successfully or not
-    # print script execution summary
-    finally:
-        print('Script finished')
-        print(f'Time taken: {timedelta(seconds=round(time.time() - start_time))}')
-        input('Press [ENTER] to exit script')
-        sys.exit(EXIT_CODE)

src/wrappers/anime4kcpp.py

@@ -1,107 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x Caffe Driver
-Author: K4YT3X
-Date Created: May 3, 2020
-Last Modified: May 7, 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 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=pathlib.Path, help='File for loading')
-        # parser.add_argument('-o', '--output', type=pathlib.Path, 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=float, help='Strength for pushing color,range 0 to 1,higher for thinner')
-        parser.add_argument('-g', '--strengthGradient', type=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 upscale(self, input_file, output_file, zoom_factor, threads):
-        """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
-        self.driver_settings['zoomFactor'] = zoom_factor
-        self.driver_settings['threads'] = threads
-
-        # 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)

src/wrappers/ffmpeg.py

@@ -1,287 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Video2X FFmpeg Controller
-Author: K4YT3X
-Date Created: Feb 24, 2018
-Last Modified: May 7, 2020
-
-Description: This class handles all FFmpeg related operations.
-"""
-
-# built-in imports
-import json
-import pathlib
-import subprocess
-
-# third-party imports
-from avalon_framework import Avalon
-
-
-class Ffmpeg:
-    """This class communicates with FFmpeg
-
-    This class deals with FFmpeg. It handles extracting
-    frames, stripping audio, converting images into videos
-    and inserting audio tracks to videos.
-    """
-
-    def __init__(self, ffmpeg_settings, image_format):
-        self.ffmpeg_settings = ffmpeg_settings
-
-        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'
-        self.image_format = image_format
-        self.pixel_format = None
-
-    def get_pixel_formats(self):
-        """ Get a dictionary of supported pixel formats
-
-        List all supported pixel formats and their
-        corresponding bit depth.
-
-        Returns:
-            dictionary -- JSON dict of all pixel formats to bit depth
-        """
-        execute = [
-            self.ffmpeg_probe_binary,
-            '-v',
-            'quiet',
-            '-pix_fmts'
-        ]
-
-        # turn elements into str
-        execute = [str(e) for e in execute]
-
-        Avalon.debug_info(f'Executing: {" ".join(execute)}')
-
-        # initialize dictionary to store pixel formats
-        pixel_formats = {}
-
-        # record all pixel formats into dictionary
-        for line in subprocess.run(execute, check=True, stdout=subprocess.PIPE).stdout.decode().split('\n'):
-            try:
-                pixel_formats[' '.join(line.split()).split()[1]] = int(' '.join(line.split()).split()[3])
-            except (IndexError, ValueError):
-                pass
-
-        # print pixel formats for debugging
-        Avalon.debug_info(str(pixel_formats))
-
-        return pixel_formats
-
-    def get_video_info(self, input_video):
-        """ Gets input video information
-
-        This method reads input video information
-        using ffprobe in dictionary
-
-        Arguments:
-            input_video {string} -- input video file path
-
-        Returns:
-            dictionary -- JSON text of input video information
-        """
-
-        # this execution command needs to be hard-coded
-        # since video2x only strictly recignizes this one format
-        execute = [
-            self.ffmpeg_probe_binary,
-            '-v',
-            'quiet',
-            '-print_format',
-            'json',
-            '-show_format',
-            '-show_streams',
-            '-i',
-            input_video
-        ]
-
-        # turn elements into str
-        execute = [str(e) for e in execute]
-
-        Avalon.debug_info(f'Executing: {" ".join(execute)}')
-        json_str = subprocess.run(execute, check=True, stdout=subprocess.PIPE).stdout
-        return json.loads(json_str.decode('utf-8'))
-
-    def extract_frames(self, input_video, extracted_frames):
-        """Extract every frame from original videos
-
-        This method extracts every frame from input video using FFmpeg
-
-        Arguments:
-            input_video {string} -- input video path
-            extracted_frames {string} -- video output directory
-        """
-        execute = [
-            self.ffmpeg_binary
-        ]
-
-        execute.extend(self._read_configuration(phase='video_to_frames'))
-
-        execute.extend([
-            '-i',
-            input_video
-        ])
-
-        execute.extend(self._read_configuration(phase='video_to_frames', section='output_options'))
-
-        execute.extend([
-            extracted_frames / f'extracted_%0d.{self.image_format}'
-        ])
-
-        return(self._execute(execute))
-
-    def convert_video(self, framerate, resolution, upscaled_frames):
-        """Converts images into videos
-
-        This method converts a set of images into a video
-
-        Arguments:
-            framerate {float} -- target video framerate
-            resolution {string} -- target video resolution
-            upscaled_frames {string} -- source images directory
-        """
-        execute = [
-            self.ffmpeg_binary,
-            '-r',
-            str(framerate),
-            '-s',
-            resolution
-        ]
-
-        # read other options
-        execute.extend(self._read_configuration(phase='frames_to_video'))
-
-        # read FFmpeg input options
-        execute.extend(self._read_configuration(phase='frames_to_video', section='input_options'))
-
-        # WORKAROUND FOR WAIFU2X-NCNN-VULKAN
-        # Dev: SAT3LL
-        # rename all .png.png suffixes to .png
-        import re
-        regex = re.compile(r'\.png\.png$', re.IGNORECASE)
-        for frame_name in upscaled_frames.iterdir():
-            (upscaled_frames / frame_name).rename(upscaled_frames / regex.sub('.png', str(frame_name)))
-        # END WORKAROUND
-
-        # append input frames path into command
-        execute.extend([
-            '-i',
-            upscaled_frames / f'extracted_%d.{self.image_format}'
-        ])
-
-        # read FFmpeg output options
-        execute.extend(self._read_configuration(phase='frames_to_video', section='output_options'))
-
-        # specify output file location
-        execute.extend([
-            upscaled_frames / 'no_audio.mp4'
-        ])
-
-        return(self._execute(execute))
-
-    def migrate_audio_tracks_subtitles(self, input_video, output_video, upscaled_frames):
-        """ Migrates audio tracks and subtitles from input video to output video
-
-        Arguments:
-            input_video {string} -- input video file path
-            output_video {string} -- output video file path
-            upscaled_frames {string} -- directory containing upscaled frames
-        """
-        execute = [
-            self.ffmpeg_binary
-        ]
-
-        execute.extend(self._read_configuration(phase='migrating_tracks'))
-
-        execute.extend([
-            '-i',
-            upscaled_frames / 'no_audio.mp4',
-            '-i',
-            input_video
-        ])
-
-        execute.extend(self._read_configuration(phase='migrating_tracks', section='output_options'))
-
-        execute.extend([
-            output_video
-        ])
-
-        return(self._execute(execute))
-
-    def _read_configuration(self, phase, section=None):
-        """ read configuration from JSON
-
-        Read the configurations (arguments) from the JSON
-        configuration file and append them to the end of the
-        FFmpeg command.
-
-        Arguments:
-            execute {list} -- list of arguments to be executed
-            phase {str} -- phase of operation
-        """
-
-        configuration = []
-
-        # if section is specified, read configurations or keys
-        # from only that section
-        if section:
-            source = self.ffmpeg_settings[phase][section].keys()
-
-            # if pixel format is not specified, use the source pixel format
-            try:
-                if self.ffmpeg_settings[phase][section].get('-pix_fmt') is None:
-                    self.ffmpeg_settings[phase][section]['-pix_fmt'] = self.pixel_format
-            except KeyError:
-                pass
-        else:
-            source = self.ffmpeg_settings[phase].keys()
-
-        for key in source:
-
-            if section:
-                value = self.ffmpeg_settings[phase][section][key]
-            else:
-                value = self.ffmpeg_settings[phase][key]
-
-            # null or None means that leave this option out (keep default)
-            if value is None or value is False or isinstance(value, dict):
-                continue
-
-            # if the value is a list, append the same argument and all values
-            elif isinstance(value, list):
-
-                for subvalue in value:
-                    configuration.append(key)
-                    if value is not True:
-                        configuration.append(str(subvalue))
-
-            # otherwise the value is typical
-            else:
-                configuration.append(key)
-
-                # true means key is an option
-                if value is True:
-                    continue
-
-                configuration.append(str(value))
-
-        return configuration
-
-    def _execute(self, execute):
-        """ execute command
-
-        Arguments:
-            execute {list} -- list of arguments to be executed
-
-        Returns:
-            int -- execution return code
-        """
-        # turn all list elements into string to avoid errors
-        execute = [str(e) for e in execute]
-
-        Avalon.debug_info(f'Executing: {execute}')
-
-        return subprocess.Popen(execute)

src/wrappers/srmd_ncnn_vulkan.py

@@ -1,100 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: SRMD NCNN Vulkan Driver
-Creator: K4YT3X
-Date Created: April 26, 2020
-Last Modified: May 7, 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=pathlib.Path, help='input image path (jpg/png) or directory')
-        # parser.add_argument('-o', type=pathlib.Path, 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 upscale(self, input_directory, output_directory, scale_ratio):
-        """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
-        self.driver_settings['s'] = scale_ratio
-
-        # 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)

src/wrappers/waifu2x_caffe.py

@@ -1,111 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x Caffe Driver
-Author: K4YT3X
-Date Created: Feb 24, 2018
-Last Modified: May 7, 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'], help='image processing mode')
-        parser.add_argument('-e', '--output_extension', 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=pathlib.Path, help='path to output image file (when input_path is folder, output_path must be folder)')
-        # parser.add_argument('-i', '--input_file', type=pathlib.Path, help='(required)  path to input image file')
-        return parser.parse_args(arguments)
-
-    def upscale(self, input_directory, output_directory, scale_ratio, scale_width, scale_height, image_format, bit_depth):
-        """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
-        """
-
-        # 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
-        self.driver_settings['output_depth'] = bit_depth
-
-        # 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)

src/wrappers/waifu2x_converter_cpp.py

@@ -1,117 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x Converter CPP Driver
-Author: K4YT3X
-Date Created: February 8, 2019
-Last Modified: May 7, 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=pathlib.Pathh, help='path to output image file or directory  (you should use the full path)')
-        # parser.add_argument('-i', '--input', type=pathlib.Path, 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 upscale(self, input_directory, output_directory, scale_ratio, jobs, image_format):
-        """ 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
-        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['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)

src/wrappers/waifu2x_ncnn_vulkan.py

@@ -1,103 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Name: Waifu2x NCNN Vulkan Driver
-Creator: SAT3LL
-Date Created: June 26, 2019
-Last Modified: May 7, 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=pathlib.Path, help='input image path (jpg/png) or directory')
-        # parser.add_argument('-o', type=pathlib.Path, 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 upscale(self, input_directory, output_directory, scale_ratio):
-        """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
-        self.driver_settings['s'] = int(scale_ratio)
-
-        # 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)

video2x/__init__.py

@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: Package Init
+Author: K4YT3X
+Date Created: July 3, 2021
+Last Modified: February 16, 2022
+"""
+
+# version assignment has to precede imports to
+# prevent setup.cfg from producing import errors
+__version__ = "5.0.0-beta5"
+
+from .interpolator import Interpolator
+from .upscaler import Upscaler
+from .video2x import Video2X

video2x/__main__.py

@@ -0,0 +1,30 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: Package Main
+Author: K4YT3X
+Date Created: July 3, 2021
+Last Modified: February 26, 2022
+"""
+
+import sys
+
+from .video2x import main
+
+if __name__ == "__main__":
+    sys.exit(main())

video2x/decoder.py

@@ -0,0 +1,198 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: Video Decoder
+Author: K4YT3X
+Date Created: June 17, 2021
+Last Modified: March 21, 2022
+"""
+
+import contextlib
+import multiprocessing
+import os
+import pathlib
+import queue
+import signal
+import subprocess
+import threading
+import time
+from multiprocessing.sharedctypes import Synchronized
+
+import ffmpeg
+from loguru import logger
+from PIL import Image
+
+from .pipe_printer import PipePrinter
+
+# map Loguru log levels to FFmpeg log levels
+LOGURU_FFMPEG_LOGLEVELS = {
+    "trace": "trace",
+    "debug": "debug",
+    "info": "info",
+    "success": "info",
+    "warning": "warning",
+    "error": "error",
+    "critical": "fatal",
+}
+
+
+class VideoDecoder(threading.Thread):
+    def __init__(
+        self,
+        input_path: pathlib.Path,
+        input_width: int,
+        input_height: int,
+        frame_rate: float,
+        processing_queue: multiprocessing.Queue,
+        processing_settings: tuple,
+        pause: Synchronized,
+        ignore_max_image_pixels=True,
+    ) -> None:
+        threading.Thread.__init__(self)
+        self.running = False
+        self.input_path = input_path
+        self.input_width = input_width
+        self.input_height = input_height
+        self.processing_queue = processing_queue
+        self.processing_settings = processing_settings
+        self.pause = pause
+
+        # this disables the "possible DDoS" warning
+        if ignore_max_image_pixels:
+            Image.MAX_IMAGE_PIXELS = None
+
+        self.exception = None
+        self.decoder = subprocess.Popen(
+            ffmpeg.compile(
+                ffmpeg.input(input_path, r=frame_rate)["v"]
+                .output("pipe:1", format="rawvideo", pix_fmt="rgb24", vsync="cfr")
+                .global_args("-hide_banner")
+                .global_args("-nostats")
+                .global_args("-nostdin")
+                .global_args(
+                    "-loglevel",
+                    LOGURU_FFMPEG_LOGLEVELS.get(
+                        os.environ.get("LOGURU_LEVEL", "INFO").lower()
+                    ),
+                ),
+                overwrite_output=True,
+            ),
+            env={"AV_LOG_FORCE_COLOR": "TRUE"},
+            stdin=subprocess.DEVNULL,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+
+        # start the PIPE printer to start printing FFmpeg logs
+        self.pipe_printer = PipePrinter(self.decoder.stderr)
+        self.pipe_printer.start()
+
+    def run(self) -> None:
+        self.running = True
+
+        # the index of the frame
+        frame_index = 0
+
+        # create placeholder for previous frame
+        # used in interpolate mode
+        previous_image = None
+
+        # continue running until an exception occurs
+        # or all frames have been decoded
+        while self.running:
+
+            # pause if pause flag is set
+            if self.pause.value is True:
+                time.sleep(0.1)
+                continue
+
+            try:
+                buffer = self.decoder.stdout.read(
+                    3 * self.input_width * self.input_height
+                )
+
+                # source depleted (decoding finished)
+                # after the last frame has been decoded
+                # read will return nothing
+                if len(buffer) == 0:
+                    self.stop()
+                    continue
+
+                # convert raw bytes into image object
+                image = Image.frombytes(
+                    "RGB", (self.input_width, self.input_height), buffer
+                )
+
+                # keep checking if the running flag is set to False
+                # while waiting to put the next image into the queue
+                while self.running:
+                    with contextlib.suppress(queue.Full):
+                        self.processing_queue.put(
+                            (
+                                frame_index,
+                                (previous_image, image),
+                                self.processing_settings,
+                            ),
+                            timeout=0.1,
+                        )
+                        break
+
+                previous_image = image
+                frame_index += 1
+
+            # most likely "not enough image data"
+            except ValueError as e:
+                self.exception = e
+
+                # ignore queue closed
+                if "is closed" not in str(e):
+                    logger.exception(e)
+                break
+
+            # send exceptions into the client connection pipe
+            except Exception as e:
+                self.exception = e
+                logger.exception(e)
+                break
+        else:
+            logger.debug("Decoding queue depleted")
+
+        # flush the remaining data in STDOUT and STDERR
+        self.decoder.stdout.flush()
+        self.decoder.stderr.flush()
+
+        # send SIGINT (2) to FFmpeg
+        # this instructs it to finalize and exit
+        self.decoder.send_signal(signal.SIGINT)
+
+        # close PIPEs to prevent process from getting stuck
+        self.decoder.stdout.close()
+        self.decoder.stderr.close()
+
+        # wait for process to exit
+        self.decoder.wait()
+
+        # wait for PIPE printer to exit
+        self.pipe_printer.stop()
+        self.pipe_printer.join()
+
+        logger.info("Decoder thread exiting")
+        return super().run()
+
+    def stop(self) -> None:
+        self.running = False

video2x/encoder.py

@@ -0,0 +1,198 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: Video Encoder
+Author: K4YT3X
+Date Created: June 17, 2021
+Last Modified: March 20, 2022
+"""
+
+import os
+import pathlib
+import signal
+import subprocess
+import threading
+import time
+from multiprocessing.managers import ListProxy
+from multiprocessing.sharedctypes import Synchronized
+
+import ffmpeg
+from loguru import logger
+
+from .pipe_printer import PipePrinter
+
+# map Loguru log levels to FFmpeg log levels
+LOGURU_FFMPEG_LOGLEVELS = {
+    "trace": "trace",
+    "debug": "debug",
+    "info": "info",
+    "success": "info",
+    "warning": "warning",
+    "error": "error",
+    "critical": "fatal",
+}
+
+
+class VideoEncoder(threading.Thread):
+    def __init__(
+        self,
+        input_path: pathlib.Path,
+        frame_rate: float,
+        output_path: pathlib.Path,
+        output_width: int,
+        output_height: int,
+        total_frames: int,
+        processed_frames: ListProxy,
+        processed: Synchronized,
+        pause: Synchronized,
+        copy_audio: bool = True,
+        copy_subtitle: bool = True,
+        copy_data: bool = False,
+        copy_attachments: bool = False,
+    ) -> None:
+        threading.Thread.__init__(self)
+        self.running = False
+        self.input_path = input_path
+        self.output_path = output_path
+        self.total_frames = total_frames
+        self.processed_frames = processed_frames
+        self.processed = processed
+        self.pause = pause
+
+        # stores exceptions if the thread exits with errors
+        self.exception = None
+
+        # create FFmpeg input for the original input video
+        self.original = ffmpeg.input(input_path)
+
+        # define frames as input
+        frames = ffmpeg.input(
+            "pipe:0",
+            format="rawvideo",
+            pix_fmt="rgb24",
+            vsync="cfr",
+            s=f"{output_width}x{output_height}",
+            r=frame_rate,
+        )
+
+        # copy additional streams from original file
+        # https://ffmpeg.org/ffmpeg.html#Stream-specifiers-1
+        additional_streams = [
+            # self.original["1:v?"],
+            self.original["a?"] if copy_audio is True else None,
+            self.original["s?"] if copy_subtitle is True else None,
+            self.original["d?"] if copy_data is True else None,
+            self.original["t?"] if copy_attachments is True else None,
+        ]
+
+        # run FFmpeg and produce final output
+        self.encoder = subprocess.Popen(
+            ffmpeg.compile(
+                ffmpeg.output(
+                    frames,
+                    *[s for s in additional_streams if s is not None],
+                    str(self.output_path),
+                    vcodec="libx264",
+                    vsync="cfr",
+                    pix_fmt="yuv420p",
+                    crf=17,
+                    preset="veryslow",
+                    # acodec="libfdk_aac",
+                    # cutoff=20000,
+                    r=frame_rate,
+                    map_metadata=1,
+                    metadata="comment=Processed with Video2X",
+                )
+                .global_args("-hide_banner")
+                .global_args("-nostats")
+                .global_args(
+                    "-loglevel",
+                    LOGURU_FFMPEG_LOGLEVELS.get(
+                        os.environ.get("LOGURU_LEVEL", "INFO").lower()
+                    ),
+                ),
+                overwrite_output=True,
+            ),
+            env={"AV_LOG_FORCE_COLOR": "TRUE"},
+            stdin=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+
+        # start the PIPE printer to start printing FFmpeg logs
+        self.pipe_printer = PipePrinter(self.encoder.stderr)
+        self.pipe_printer.start()
+
+    def run(self) -> None:
+        self.running = True
+        frame_index = 0
+        while self.running and frame_index < self.total_frames:
+
+            # pause if pause flag is set
+            if self.pause.value is True:
+                time.sleep(0.1)
+                continue
+
+            try:
+                image = self.processed_frames[frame_index]
+                if image is None:
+                    time.sleep(0.1)
+                    continue
+
+                # send the image to FFmpeg for encoding
+                self.encoder.stdin.write(image.tobytes())
+
+                # remove the image from memory
+                self.processed_frames[frame_index] = None
+
+                with self.processed.get_lock():
+                    self.processed.value += 1
+
+                frame_index += 1
+
+            # send exceptions into the client connection pipe
+            except Exception as e:
+                self.exception = e
+                logger.exception(e)
+                break
+        else:
+            logger.debug("Encoding queue depleted")
+
+        # flush the remaining data in STDIN and STDERR
+        self.encoder.stdin.flush()
+        self.encoder.stderr.flush()
+
+        # send SIGINT (2) to FFmpeg
+        # this instructs it to finalize and exit
+        self.encoder.send_signal(signal.SIGINT)
+
+        # close PIPEs to prevent process from getting stuck
+        self.encoder.stdin.close()
+        self.encoder.stderr.close()
+
+        # wait for process to exit
+        self.encoder.wait()
+
+        # wait for PIPE printer to exit
+        self.pipe_printer.stop()
+        self.pipe_printer.join()
+
+        logger.info("Encoder thread exiting")
+        return super().run()
+
+    def stop(self) -> None:
+        self.running = False

video2x/interpolator.py

@@ -0,0 +1,125 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: Interpolator
+Author: K4YT3X
+Date Created: May 27, 2021
+Last Modified: March 20, 2022
+"""
+
+import multiprocessing
+import queue
+import signal
+import time
+from multiprocessing.managers import ListProxy
+from multiprocessing.sharedctypes import Synchronized
+
+from loguru import logger
+from PIL import ImageChops, ImageStat
+from rife_ncnn_vulkan_python.rife_ncnn_vulkan import Rife
+
+ALGORITHM_CLASSES = {"rife": Rife}
+
+
+class Interpolator(multiprocessing.Process):
+    def __init__(
+        self,
+        processing_queue: multiprocessing.Queue,
+        processed_frames: ListProxy,
+        pause: Synchronized,
+    ) -> None:
+        multiprocessing.Process.__init__(self)
+        self.running = False
+        self.processing_queue = processing_queue
+        self.processed_frames = processed_frames
+        self.pause = pause
+
+        signal.signal(signal.SIGTERM, self._stop)
+
+    def run(self) -> None:
+        self.running = True
+        logger.opt(colors=True).info(
+            f"Interpolator process <blue>{self.name}</blue> initiating"
+        )
+        processor_objects = {}
+        while self.running:
+            try:
+                # pause if pause flag is set
+                if self.pause.value is True:
+                    time.sleep(0.1)
+                    continue
+
+                try:
+                    # get new job from queue
+                    (
+                        frame_index,
+                        (image0, image1),
+                        (difference_threshold, algorithm),
+                    ) = self.processing_queue.get(False)
+                except queue.Empty:
+                    time.sleep(0.1)
+                    continue
+
+                # if image0 is None, image1 is the first frame
+                # skip this round
+                if image0 is None:
+                    continue
+
+                difference = ImageChops.difference(image0, image1)
+                difference_stat = ImageStat.Stat(difference)
+                difference_ratio = (
+                    sum(difference_stat.mean) / (len(difference_stat.mean) * 255) * 100
+                )
+
+                # if the difference is lower than threshold
+                # process the interpolation
+                if difference_ratio < difference_threshold:
+
+                    # select a processor object with the required settings
+                    # create a new object if none are available
+                    processor_object = processor_objects.get(algorithm)
+                    if processor_object is None:
+                        processor_object = ALGORITHM_CLASSES[algorithm](0)
+                        processor_objects[algorithm] = processor_object
+                    interpolated_image = processor_object.process(image0, image1)
+
+                # if the difference is greater than threshold
+                # there's a change in camera angle, ignore
+                else:
+                    interpolated_image = image0
+
+                if frame_index == 1:
+                    self.processed_frames[0] = image0
+                self.processed_frames[frame_index * 2 - 1] = interpolated_image
+                self.processed_frames[frame_index * 2] = image1
+
+            # send exceptions into the client connection pipe
+            except (SystemExit, KeyboardInterrupt):
+                break
+
+            except Exception as e:
+                logger.exception(e)
+                break
+
+        logger.opt(colors=True).info(
+            f"Interpolator process <blue>{self.name}</blue> terminating"
+        )
+        return super().run()
+
+    def _stop(self, _signal_number, _frame) -> None:
+        self.running = False

video2x/pipe_printer.py

@@ -0,0 +1,63 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: PIPE Printer
+Author: K4YT3X
+Date Created: February 27, 2022
+Last Modified: February 28, 2022
+"""
+
+import os
+import sys
+import threading
+import time
+from typing import IO
+
+
+class PipePrinter(threading.Thread):
+    def __init__(self, stderr: IO[bytes]) -> None:
+        threading.Thread.__init__(self)
+        self.stderr = stderr
+        self.running = False
+
+        # set read mode to non-blocking
+        os.set_blocking(self.stderr.fileno(), False)
+
+    def _print_output(self) -> None:
+        output = self.stderr.read()
+        if output is not None and len(output) != 0:
+            print(output.decode(), file=sys.stderr)
+
+    def run(self) -> None:
+        self.running = True
+
+        # keep printing contents in the PIPE
+        while self.running:
+            time.sleep(0.5)
+
+            try:
+                self._print_output()
+
+            # pipe closed
+            except ValueError:
+                break
+
+        return super().run()
+
+    def stop(self) -> None:
+        self.running = False

video2x/upscaler.py

@@ -0,0 +1,207 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+Name: Upscaler
+Author: K4YT3X
+Date Created: May 27, 2021
+Last Modified: March 20, 2022
+"""
+
+import math
+import multiprocessing
+import queue
+import signal
+import time
+from multiprocessing.managers import ListProxy
+from multiprocessing.sharedctypes import Synchronized
+
+from loguru import logger
+from PIL import Image, ImageChops, ImageStat
+from realcugan_ncnn_vulkan_python import Realcugan
+from realsr_ncnn_vulkan_python import Realsr
+from srmd_ncnn_vulkan_python import Srmd
+from waifu2x_ncnn_vulkan_python import Waifu2x
+
+# fixed scaling ratios supported by the algorithms
+# that only support certain fixed scale ratios
+ALGORITHM_FIXED_SCALING_RATIOS = {
+    "waifu2x": [1, 2],
+    "srmd": [2, 3, 4],
+    "realsr": [4],
+    "realcugan": [1, 2, 3, 4],
+}
+
+ALGORITHM_CLASSES = {
+    "waifu2x": Waifu2x,
+    "srmd": Srmd,
+    "realsr": Realsr,
+    "realcugan": Realcugan,
+}
+
+
+class Upscaler(multiprocessing.Process):
+    def __init__(
+        self,
+        processing_queue: multiprocessing.Queue,
+        processed_frames: ListProxy,
+        pause: Synchronized,
+    ) -> None:
+        multiprocessing.Process.__init__(self)
+        self.running = False
+        self.processing_queue = processing_queue
+        self.processed_frames = processed_frames
+        self.pause = pause
+
+        signal.signal(signal.SIGTERM, self._stop)
+
+    def run(self) -> None:
+        self.running = True
+        logger.opt(colors=True).info(
+            f"Upscaler process <blue>{self.name}</blue> initiating"
+        )
+        processor_objects = {}
+        while self.running:
+            try:
+                # pause if pause flag is set
+                if self.pause.value is True:
+                    time.sleep(0.1)
+                    continue
+
+                try:
+                    # get new job from queue
+                    (
+                        frame_index,
+                        (image0, image1),
+                        (
+                            output_width,
+                            output_height,
+                            noise,
+                            difference_threshold,
+                            algorithm,
+                        ),
+                    ) = self.processing_queue.get(False)
+
+                    # destructure settings
+                except queue.Empty:
+                    time.sleep(0.1)
+                    continue
+
+                difference_ratio = 0
+                if image0 is not None:
+                    difference = ImageChops.difference(image0, image1)
+                    difference_stat = ImageStat.Stat(difference)
+                    difference_ratio = (
+                        sum(difference_stat.mean)
+                        / (len(difference_stat.mean) * 255)
+                        * 100
+                    )
+
+                # if the difference is lower than threshold
+                # skip this frame
+                if difference_ratio < difference_threshold:
+
+                    # make sure the previous frame has been processed
+                    if frame_index > 0:
+                        while self.processed_frames[frame_index - 1] is None:
+                            time.sleep(0.1)
+
+                    # make the current image the same as the previous result
+                    self.processed_frames[frame_index] = self.processed_frames[
+                        frame_index - 1
+                    ]
+
+                # if the difference is greater than threshold
+                # process this frame
+                else:
+                    width, height = image1.size
+
+                    # calculate required minimum scale ratio
+                    output_scale = max(output_width / width, output_height / height)
+
+                    # select the optimal algorithm scaling ratio to use
+                    supported_scaling_ratios = sorted(
+                        ALGORITHM_FIXED_SCALING_RATIOS[algorithm]
+                    )
+
+                    remaining_scaling_ratio = math.ceil(output_scale)
+                    scaling_jobs = []
+
+                    # if the scaling ratio is 1.0
+                    # apply the smallest scaling ratio available
+                    if remaining_scaling_ratio == 1:
+                        scaling_jobs.append(supported_scaling_ratios[0])
+                    else:
+                        while remaining_scaling_ratio > 1:
+                            for ratio in supported_scaling_ratios:
+                                if ratio >= remaining_scaling_ratio:
+                                    scaling_jobs.append(ratio)
+                                    remaining_scaling_ratio /= ratio
+                                    break
+
+                            else:
+                                found = False
+                                for i in supported_scaling_ratios:
+                                    for j in supported_scaling_ratios:
+                                        if i * j >= remaining_scaling_ratio:
+                                            scaling_jobs.extend([i, j])
+                                            remaining_scaling_ratio /= i * j
+                                            found = True
+                                            break
+                                    if found is True:
+                                        break
+
+                                if found is False:
+                                    scaling_jobs.append(supported_scaling_ratios[-1])
+                                    remaining_scaling_ratio /= supported_scaling_ratios[
+                                        -1
+                                    ]
+
+                    for job in scaling_jobs:
+
+                        # select a processor object with the required settings
+                        # create a new object if none are available
+                        processor_object = processor_objects.get((algorithm, job))
+                        if processor_object is None:
+                            processor_object = ALGORITHM_CLASSES[algorithm](
+                                noise=noise, scale=job
+                            )
+                            processor_objects[(algorithm, job)] = processor_object
+
+                        # process the image with the selected algorithm
+                        image1 = processor_object.process(image1)
+
+                    # downscale the image to the desired output size and
+                    # save the image to disk
+                    image1 = image1.resize((output_width, output_height), Image.LANCZOS)
+                    self.processed_frames[frame_index] = image1
+
+            # send exceptions into the client connection pipe
+            except (SystemExit, KeyboardInterrupt):
+                break
+
+            except Exception as e:
+                logger.exception(e)
+                break
+
+        logger.opt(colors=True).info(
+            f"Upscaler process <blue>{self.name}</blue> terminating"
+        )
+        return super().run()
+
+    def _stop(self, _signal_number, _frame) -> None:
+        self.running = False

video2x/video2x.py

@@ -0,0 +1,643 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+r"""
+Copyright (C) 2018-2022 K4YT3X and contributors.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU Affero General Public License as
+published by the Free Software Foundation, either version 3 of the
+License, or (at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+GNU Affero General Public License for more details.
+
+You should have received a copy of the GNU Affero General Public License
+along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+__      __  _       _                  ___   __   __
+\ \    / / (_)     | |                |__ \  \ \ / /
+ \ \  / /   _    __| |   ___    ___      ) |  \ V /
+  \ \/ /   | |  / _` |  / _ \  / _ \    / /    > <
+   \  /    | | | (_| | |  __/ | (_) |  / /_   / . \
+    \/     |_|  \__,_|  \___|  \___/  |____| /_/ \_\
+
+
+Name: Video2X
+Creator: K4YT3X
+Date Created: February 24, 2018
+Last Modified: March 21, 2022
+
+Editor: BrianPetkovsek
+Last Modified: June 17, 2019
+
+Editor: SAT3LL
+Last Modified: June 25, 2019
+
+Editor: 28598519a
+Last Modified: March 23, 2020
+"""
+
+import argparse
+import ctypes
+import math
+import multiprocessing
+import os
+import pathlib
+import signal
+import sys
+import time
+
+import cv2
+import ffmpeg
+from loguru import logger
+from rich import print
+from rich.console import Console
+from rich.file_proxy import FileProxy
+from rich.progress import (
+    BarColumn,
+    Progress,
+    ProgressColumn,
+    Task,
+    TimeElapsedColumn,
+    TimeRemainingColumn,
+)
+from rich.text import Text
+
+from . import __version__
+from .decoder import VideoDecoder
+from .encoder import VideoEncoder
+from .interpolator import Interpolator
+from .upscaler import Upscaler
+
+# for desktop environments only
+# if pynput can be loaded, enable global pause hotkey support
+try:
+    import pynput
+except ImportError:
+    ENABLE_HOTKEY = False
+else:
+    ENABLE_HOTKEY = True
+
+LEGAL_INFO = """Video2X\t\t{}
+Author:\t\tK4YT3X
+License:\tGNU AGPL v3
+Github Page:\thttps://github.com/k4yt3x/video2x
+Contact:\ti@k4yt3x.com""".format(
+    __version__
+)
+
+# algorithms available for upscaling tasks
+UPSCALING_ALGORITHMS = [
+    "waifu2x",
+    "srmd",
+    "realsr",
+    "realcugan",
+]
+
+# algorithms available for frame interpolation tasks
+INTERPOLATION_ALGORITHMS = ["rife"]
+
+# progress bar labels for different modes
+MODE_LABELS = {"upscale": "Upscaling", "interpolate": "Interpolating"}
+
+# format string for Loguru loggers
+LOGURU_FORMAT = (
+    "<green>{time:HH:mm:ss.SSSSSS!UTC}</green> | "
+    "<level>{level: <8}</level> | "
+    "<level>{message}</level>"
+)
+
+
+class ProcessingSpeedColumn(ProgressColumn):
+    """Custom progress bar column that displays the processing speed"""
+
+    def render(self, task: Task) -> Text:
+        speed = task.finished_speed or task.speed
+        return Text(
+            f"{round(speed, 2) if isinstance(speed, float) else '?'} FPS",
+            style="progress.data.speed",
+        )
+
+
+class Video2X:
+    """
+    Video2X class
+
+    provides two vital functions:
+        - upscale: perform upscaling on a file
+        - interpolate: perform motion interpolation on a file
+    """
+
+    def __init__(self) -> None:
+        self.version = __version__
+
+    def _get_video_info(self, path: pathlib.Path) -> tuple:
+        """
+        get video file information with FFmpeg
+
+        :param path pathlib.Path: video file path
+        :raises RuntimeError: raised when video stream isn't found
+        """
+        # probe video file info
+        logger.info("Reading input video information")
+        for stream in ffmpeg.probe(path)["streams"]:
+            if stream["codec_type"] == "video":
+                video_info = stream
+                break
+        else:
+            raise RuntimeError("unable to find video stream")
+
+        # get total number of frames to be processed
+        capture = cv2.VideoCapture(str(path))
+
+        # check if file is opened successfully
+        if not capture.isOpened():
+            raise RuntimeError("OpenCV has failed to open the input file")
+
+        total_frames = int(capture.get(cv2.CAP_PROP_FRAME_COUNT))
+        frame_rate = capture.get(cv2.CAP_PROP_FPS)
+
+        return video_info["width"], video_info["height"], total_frames, frame_rate
+
+    def _toggle_pause(self, _signal_number: int = -1, _frame=None):
+        # print console messages and update the progress bar's status
+        if self.pause.value is False:
+            self.progress.update(self.task, description=self.description + " (paused)")
+            self.progress.stop_task(self.task)
+            logger.warning("Processing paused, press Ctrl+Alt+V again to resume")
+
+        elif self.pause.value is True:
+            self.progress.update(self.task, description=self.description)
+            logger.warning("Resuming processing")
+            self.progress.start_task(self.task)
+
+        # invert the value of the pause flag
+        with self.pause.get_lock():
+            self.pause.value = not self.pause.value
+
+    def _run(
+        self,
+        input_path: pathlib.Path,
+        width: int,
+        height: int,
+        total_frames: int,
+        frame_rate: float,
+        output_path: pathlib.Path,
+        output_width: int,
+        output_height: int,
+        Processor: object,
+        mode: str,
+        processes: int,
+        processing_settings: tuple,
+    ) -> None:
+
+        # record original STDOUT and STDERR for restoration
+        original_stdout = sys.stdout
+        original_stderr = sys.stderr
+
+        # create console for rich's Live display
+        console = Console()
+
+        # redirect STDOUT and STDERR to console
+        sys.stdout = FileProxy(console, sys.stdout)
+        sys.stderr = FileProxy(console, sys.stderr)
+
+        # re-add Loguru to point to the new STDERR
+        logger.remove()
+        logger.add(sys.stderr, colorize=True, format=LOGURU_FORMAT)
+
+        # initialize values
+        self.processor_processes = []
+        self.processing_queue = multiprocessing.Queue(maxsize=processes * 10)
+        processed_frames = multiprocessing.Manager().list([None] * total_frames)
+        self.processed = multiprocessing.Value("I", 0)
+        self.pause = multiprocessing.Value(ctypes.c_bool, False)
+
+        # set up and start decoder thread
+        logger.info("Starting video decoder")
+        self.decoder = VideoDecoder(
+            input_path,
+            width,
+            height,
+            frame_rate,
+            self.processing_queue,
+            processing_settings,
+            self.pause,
+        )
+        self.decoder.start()
+
+        # set up and start encoder thread
+        logger.info("Starting video encoder")
+        self.encoder = VideoEncoder(
+            input_path,
+            frame_rate * 2 if mode == "interpolate" else frame_rate,
+            output_path,
+            output_width,
+            output_height,
+            total_frames,
+            processed_frames,
+            self.processed,
+            self.pause,
+        )
+        self.encoder.start()
+
+        # create processor processes
+        for process_name in range(processes):
+            process = Processor(self.processing_queue, processed_frames, self.pause)
+            process.name = str(process_name)
+            process.daemon = True
+            process.start()
+            self.processor_processes.append(process)
+
+        # create progress bar
+        self.progress = Progress(
+            "[progress.description]{task.description}",
+            BarColumn(complete_style="blue", finished_style="green"),
+            "[progress.percentage]{task.percentage:>3.0f}%",
+            "[color(240)]({task.completed}/{task.total})",
+            ProcessingSpeedColumn(),
+            TimeElapsedColumn(),
+            "<",
+            TimeRemainingColumn(),
+            console=console,
+            speed_estimate_period=300.0,
+            disable=True,
+        )
+
+        self.description = f"[cyan]{MODE_LABELS.get(mode, 'Unknown')}"
+        self.task = self.progress.add_task(self.description, total=total_frames)
+
+        # allow sending SIGUSR1 to pause/resume processing
+        signal.signal(signal.SIGUSR1, self._toggle_pause)
+
+        # enable global pause hotkey if it's supported
+        if ENABLE_HOTKEY is True:
+
+            # create global pause hotkey
+            pause_hotkey = pynput.keyboard.HotKey(
+                pynput.keyboard.HotKey.parse("<ctrl>+<alt>+v"), self._toggle_pause
+            )
+
+            # create global keyboard input listener
+            keyboard_listener = pynput.keyboard.Listener(
+                on_press=(
+                    lambda key: pause_hotkey.press(keyboard_listener.canonical(key))
+                ),
+                on_release=(
+                    lambda key: pause_hotkey.release(keyboard_listener.canonical(key))
+                ),
+            )
+
+            # start monitoring global key presses
+            keyboard_listener.start()
+
+        # a temporary variable that stores the exception
+        exception = []
+
+        try:
+
+            # wait for jobs in queue to deplete
+            while self.processed.value < total_frames - 1:
+                time.sleep(1)
+
+                # check processor health
+                for process in self.processor_processes:
+                    if not process.is_alive():
+                        raise Exception("process died unexpectedly")
+
+                # check decoder health
+                if not self.decoder.is_alive() and self.decoder.exception is not None:
+                    raise Exception("decoder died unexpectedly")
+
+                # check encoder health
+                if not self.encoder.is_alive() and self.encoder.exception is not None:
+                    raise Exception("encoder died unexpectedly")
+
+                # show progress bar when upscale starts
+                if self.progress.disable is True and self.processed.value > 0:
+                    self.progress.disable = False
+                    self.progress.start()
+
+                # update progress
+                if self.pause.value is False:
+                    self.progress.update(self.task, completed=self.processed.value)
+
+            self.progress.update(self.task, completed=total_frames)
+            self.progress.stop()
+            logger.info("Processing has completed")
+
+        # if SIGTERM is received or ^C is pressed
+        # TODO: pause and continue here
+        except (SystemExit, KeyboardInterrupt) as e:
+            self.progress.stop()
+            logger.warning("Exit signal received, exiting gracefully")
+            logger.warning("Press ^C again to force terminate")
+            exception.append(e)
+
+        except Exception as e:
+            self.progress.stop()
+            logger.exception(e)
+            exception.append(e)
+
+        finally:
+
+            # stop keyboard listener
+            if ENABLE_HOTKEY is True:
+                keyboard_listener.stop()
+                keyboard_listener.join()
+
+            # stop progress display
+            self.progress.stop()
+
+            # stop processor processes
+            logger.info("Stopping processor processes")
+            for process in self.processor_processes:
+                process.terminate()
+
+            # wait for processes to finish
+            for process in self.processor_processes:
+                process.join()
+
+            # stop encoder and decoder
+            logger.info("Stopping decoder and encoder threads")
+            self.decoder.stop()
+            self.encoder.stop()
+            self.decoder.join()
+            self.encoder.join()
+
+            # mark processing queue as closed
+            self.processing_queue.close()
+
+            # raise the error if there is any
+            if len(exception) > 0:
+                raise exception[0]
+
+            # restore original STDOUT and STDERR
+            sys.stdout = original_stdout
+            sys.stderr = original_stderr
+
+            # re-add Loguru to point to the restored STDERR
+            logger.remove()
+            logger.add(sys.stderr, colorize=True, format=LOGURU_FORMAT)
+
+    def upscale(
+        self,
+        input_path: pathlib.Path,
+        output_path: pathlib.Path,
+        output_width: int,
+        output_height: int,
+        noise: int,
+        processes: int,
+        threshold: float,
+        algorithm: str,
+    ) -> None:
+
+        # get basic video information
+        width, height, total_frames, frame_rate = self._get_video_info(input_path)
+
+        # automatically calculate output width and height if only one is given
+        if output_width == 0 or output_width is None:
+            output_width = output_height / height * width
+
+        elif output_height == 0 or output_height is None:
+            output_height = output_width / width * height
+
+        # sanitize output width and height to be divisible by 2
+        output_width = int(math.ceil(output_width / 2.0) * 2)
+        output_height = int(math.ceil(output_height / 2.0) * 2)
+
+        # start processing
+        self._run(
+            input_path,
+            width,
+            height,
+            total_frames,
+            frame_rate,
+            output_path,
+            output_width,
+            output_height,
+            Upscaler,
+            "upscale",
+            processes,
+            (
+                output_width,
+                output_height,
+                noise,
+                threshold,
+                algorithm,
+            ),
+        )
+
+    def interpolate(
+        self,
+        input_path: pathlib.Path,
+        output_path: pathlib.Path,
+        processes: int,
+        threshold: float,
+        algorithm: str,
+    ) -> None:
+
+        # get video basic information
+        width, height, original_frames, frame_rate = self._get_video_info(input_path)
+
+        # calculate the number of total output frames
+        total_frames = original_frames * 2 - 1
+
+        # start processing
+        self._run(
+            input_path,
+            width,
+            height,
+            total_frames,
+            frame_rate,
+            output_path,
+            width,
+            height,
+            Interpolator,
+            "interpolate",
+            processes,
+            (threshold, algorithm),
+        )
+
+
+def parse_arguments() -> argparse.Namespace:
+    """
+    parse command line arguments
+
+    :rtype argparse.Namespace: command parsing results
+    """
+    parser = argparse.ArgumentParser(
+        prog="video2x",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+    )
+    parser.add_argument(
+        "--version", help="show version information and exit", action="store_true"
+    )
+    parser.add_argument(
+        "-i",
+        "--input",
+        type=pathlib.Path,
+        help="input file/directory path",
+        required=True,
+    )
+    parser.add_argument(
+        "-o",
+        "--output",
+        type=pathlib.Path,
+        help="output file/directory path",
+        required=True,
+    )
+    parser.add_argument(
+        "-p", "--processes", type=int, help="number of processes to launch", default=1
+    )
+    parser.add_argument(
+        "-l",
+        "--loglevel",
+        choices=["trace", "debug", "info", "success", "warning", "error", "critical"],
+        default="info",
+    )
+
+    # upscaler arguments
+    action = parser.add_subparsers(
+        help="action to perform", dest="action", required=True
+    )
+
+    upscale = action.add_parser(
+        "upscale",
+        help="upscale a file",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+        add_help=False,
+    )
+    upscale.add_argument(
+        "--help", action="help", help="show this help message and exit"
+    )
+    upscale.add_argument("-w", "--width", type=int, help="output width")
+    upscale.add_argument("-h", "--height", type=int, help="output height")
+    upscale.add_argument("-n", "--noise", type=int, help="denoise level", default=3)
+    upscale.add_argument(
+        "-a",
+        "--algorithm",
+        choices=UPSCALING_ALGORITHMS,
+        help="algorithm to use for upscaling",
+        default=UPSCALING_ALGORITHMS[0],
+    )
+    upscale.add_argument(
+        "-t",
+        "--threshold",
+        type=float,
+        help=(
+            "skip if the percent difference between two adjacent frames is below this"
+            " value; set to 0 to process all frames"
+        ),
+        default=0,
+    )
+
+    # interpolator arguments
+    interpolate = action.add_parser(
+        "interpolate",
+        help="interpolate frames for file",
+        formatter_class=argparse.ArgumentDefaultsHelpFormatter,
+        add_help=False,
+    )
+    interpolate.add_argument(
+        "--help", action="help", help="show this help message and exit"
+    )
+    interpolate.add_argument(
+        "-a",
+        "--algorithm",
+        choices=UPSCALING_ALGORITHMS,
+        help="algorithm to use for upscaling",
+        default=INTERPOLATION_ALGORITHMS[0],
+    )
+    interpolate.add_argument(
+        "-t",
+        "--threshold",
+        type=float,
+        help=(
+            "skip if the percent difference between two adjacent frames exceeds this"
+            " value; set to 100 to interpolate all frames"
+        ),
+        default=10,
+    )
+
+    return parser.parse_args()
+
+
+def main() -> int:
+    """
+    command line entrypoint for direct CLI invocation
+
+    :rtype int: 0 if completed successfully, else other int
+    """
+
+    try:
+        # display version and lawful informaition
+        if "--version" in sys.argv:
+            print(LEGAL_INFO)
+            return 0
+
+        # parse command line arguments
+        args = parse_arguments()
+
+        # check input/output file paths
+        if not args.input.exists():
+            logger.critical(f"Cannot find input file: {args.input}")
+            return 1
+        elif not args.input.is_file():
+            logger.critical("Input path is not a file")
+            return 1
+
+        # set logger level
+        if os.environ.get("LOGURU_LEVEL") is None:
+            os.environ["LOGURU_LEVEL"] = args.loglevel.upper()
+
+        # remove default handler
+        logger.remove()
+
+        # add new sink with custom handler
+        logger.add(sys.stderr, colorize=True, format=LOGURU_FORMAT)
+
+        # print package version and copyright notice
+        logger.opt(colors=True).info(f"<magenta>Video2X {__version__}</magenta>")
+        logger.opt(colors=True).info(
+            "<magenta>Copyright (C) 2018-2022 K4YT3X and contributors.</magenta>"
+        )
+
+        # initialize video2x object
+        video2x = Video2X()
+
+        if args.action == "upscale":
+            video2x.upscale(
+                args.input,
+                args.output,
+                args.width,
+                args.height,
+                args.noise,
+                args.processes,
+                args.threshold,
+                args.algorithm,
+            )
+
+        elif args.action == "interpolate":
+            video2x.interpolate(
+                args.input,
+                args.output,
+                args.processes,
+                args.threshold,
+                args.algorithm,
+            )
+
+    # don't print the traceback for manual terminations
+    except KeyboardInterrupt:
+        return 2
+
+    except Exception as e:
+        logger.exception(e)
+        return 1
+
+    # if no exceptions were produced
+    else:
+        logger.success("Processing completed successfully")
+        return 0