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https://github.com/jonthegeek/stylex
Neural Style Transfer Assistant
https://github.com/jonthegeek/stylex
Last synced: about 2 months ago
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Neural Style Transfer Assistant
- Host: GitHub
- URL: https://github.com/jonthegeek/stylex
- Owner: jonthegeek
- License: other
- Created: 2021-03-27T14:08:55.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-03-28T17:39:16.000Z (over 3 years ago)
- Last Synced: 2024-08-13T07:13:36.743Z (4 months ago)
- Language: R
- Size: 16.6 KB
- Stars: 9
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - jonthegeek/stylex - Neural Style Transfer Assistant (R)
README
---
output: github_document
---```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```# stylex
[![Codecov test coverage](https://codecov.io/gh/jonthegeek/stylex/branch/main/graph/badge.svg)](https://codecov.io/gh/jonthegeek/stylex?branch=main)
[![R-CMD-check](https://github.com/jonthegeek/stylex/workflows/R-CMD-check/badge.svg)](https://github.com/jonthegeek/stylex/actions)Neural style transfer is the process of using the style of one image and the content of another to produce a new image ([Gatys, Ecker,Bethge (2015) ](https://arxiv.org/abs/1508.06576)).
Implementing style transfer often involves multiple iterations to dial in the desired effect.
This package aims to guide the user through that process.This package was heavily inspired by a [blog by Athos Damiani](https://blog.curso-r.com/posts/2021-02-22-neural-style-transfer/).
## Installation
You can install the released version of stylex from [CRAN](https://CRAN.R-project.org) with:
``` r
# No you can't.
# install.packages("stylex")
```And the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("jonthegeek/stylex")
```
## Example```{r example}
library(stylex)
## basic example code to come
```