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Chainer implementation of waifu2x

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Waifu2x

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Waifu2x is an image upscaling and noise reduction algorithm that gained popularity for its ability to enhance the quality of anime-style images. The implementation in Chainer, a deep learning framework, uses neural networks to perform the image enhancement tasks.

Help

usage: __main__.py [-h] [--gpu GPU] [--input INPUT] [--output OUTPUT]
                   [--quality QUALITY] [--model_dir MODEL_DIR]
                   [--scale_ratio SCALE_RATIO] [--tta]
                   [--batch_size BATCH_SIZE] [--block_size BLOCK_SIZE]
                   [--extension {png,webp}]
                   [--arch {VGG7,0,UpConv7,1,ResNet10,2,UpResNet10,3}]
                   [--method {noise,scale,noise_scale}]
                   [--noise_level {0,1,2,3}] [--color {y,rgb}]
                   [--tta_level {2,4,8}]
                   [--width WIDTH | --height HEIGHT | --shorter_side SHORTER_SIDE | --longer_side LONGER_SIDE]

Chainer implementation of waifu2x

optional arguments:
  -h, --help            show this help message and exit
  --gpu GPU, -g GPU
  --input INPUT, -i INPUT
  --output OUTPUT, -o OUTPUT
  --quality QUALITY, -q QUALITY
  --model_dir MODEL_DIR, -d MODEL_DIR
  --scale_ratio SCALE_RATIO, -s SCALE_RATIO
  --tta, -t
  --batch_size BATCH_SIZE, -b BATCH_SIZE
  --block_size BLOCK_SIZE, -l BLOCK_SIZE
  --extension {png,webp}, -e {png,webp}
  --arch {VGG7,0,UpConv7,1,ResNet10,2,UpResNet10,3}, -a {VGG7,0,UpConv7,1,ResNet10,2,UpResNet10,3}
  --method {noise,scale,noise_scale}, -m {noise,scale,noise_scale}
  --noise_level {0,1,2,3}, -n {0,1,2,3}
  --color {y,rgb}, -c {y,rgb}
  --tta_level {2,4,8}, -T {2,4,8}
  --width WIDTH, -W WIDTH
  --height HEIGHT, -H HEIGHT
  --shorter_side SHORTER_SIDE, -S SHORTER_SIDE
  --longer_side LONGER_SIDE, -L LONGER_SIDE

Table of Contents

Documentation

A high-level overview of how the documentation is organized organized will help you know where to look for certain things:

  • Tutorials take you by the hand through a series of steps to get started using the software. Start here if you’re new.
  • The Technical Reference documents APIs and other aspects of the machinery. This documentation describes how to use the classes and functions at a lower level and assume that you have a good high-level understanding of the software.

Install With PIP

pip install waifu2x

Head to https://pypi.org/project/Waifu2x/ for more info

Language information

Built for

This program has been written for Python versions 3.8 - 3.11 and has been tested with both 3.8 and 3.11

Install Python on Windows

Chocolatey

choco install python

Windows - Python.org

To install Python, go to https://www.python.org/downloads/windows/ and download the latest version.

Install Python on Linux

Apt

sudo apt install python3.x

Dnf

sudo dnf install python3.x

Install Python on MacOS

Homebrew

brew install python@3.x

MacOS - Python.org

To install Python, go to https://www.python.org/downloads/macos/ and download the latest version.

How to run

Windows

  • Module py -3.x -m [module] or [module] (if module installs a script)

  • File py -3.x [file] or ./[file]

Linux/ MacOS

  • Module python3.x -m [module] or [module] (if module installs a script)

  • File python3.x [file] or ./[file]

Building

This project uses https://github.com/FHPythonUtils/FHMake to automate most of the building. This command generates the documentation, updates the requirements.txt and builds the library artefacts

Note the functionality provided by fhmake can be approximated by the following

handsdown  --cleanup -o documentation/reference
poetry export -f requirements.txt --output requirements.txt
poetry export -f requirements.txt --with dev --output requirements_optional.txt
poetry build

fhmake audit can be run to perform additional checks

Testing

For testing with the version of python used by poetry use

poetry run pytest

Alternatively use tox to run tests over python 3.8 - 3.11

tox

Download Project

Clone

Using The Command Line

  1. Press the Clone or download button in the top right
  2. Copy the URL (link)
  3. Open the command line and change directory to where you wish to clone to
  4. Type 'git clone' followed by URL in step 2
    git clone https://github.com/FHPythonUtils/Waifu2x
    

More information can be found at https://help.github.com/en/articles/cloning-a-repository

Using GitHub Desktop

  1. Press the Clone or download button in the top right
  2. Click open in desktop
  3. Choose the path for where you want and click Clone

More information can be found at https://help.github.com/en/desktop/contributing-to-projects/cloning-a-repository-from-github-to-github-desktop

Download Zip File

  1. Download this GitHub repository
  2. Extract the zip archive
  3. Copy/ move to the desired location

Community Files

Licence

MIT License (See the LICENSE for more information.)

Changelog

See the Changelog for more information.

Code of Conduct

Online communities include people from many backgrounds. The Project contributors are committed to providing a friendly, safe and welcoming environment for all. Please see the Code of Conduct for more information.

Contributing

Contributions are welcome, please see the Contributing Guidelines for more information.

Security

Thank you for improving the security of the project, please see the Security Policy for more information.

Support

Thank you for using this project, I hope it is of use to you. Please be aware that those involved with the project often do so for fun along with other commitments (such as work, family, etc). Please see the Support Policy for more information.

Rationale

The rationale acts as a guide to various processes regarding projects such as the versioning scheme and the programming styles used. Please see the Rationale for more information.

Project details


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Source Distribution

waifu2x-2024.0.1.tar.gz (52.5 MB view hashes)

Uploaded Source

Built Distribution

waifu2x-2024.0.1-py3-none-any.whl (52.5 MB view hashes)

Uploaded Python 3

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