colorizer
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An R wrapper for the DeOldify image colorization API on DeepAI.
colorizer
This R package is an interface to the awesome DeOldify image colorization API on DeepAI, providing the possibility to colorize and restore old images. More about the NoGAN learning method used to train DeOldify can be found here.
The default api-key can be used to make a few requests. After registration on DeepAI, around 5000 requests are currently (Oct 2020) possible within the free service.
Installation
Version 0.1.0 is on CRAN and can be installed as follows:
install.packages("colorizer")
Install from GitHub for a regularly updated version (latest: 0.1.0):
install.packages("devtools")
devtools::install_github("zumbov2/colorizer")
Functions
The package provides three functions/verbs: colorize()
to perform API requests, juxtapose()
to create different comparisons of original and colorized images, and clsave()
to save colorized images and comparisons.
Examples
Breadfruit, approx. 1870
# API call
colorizer::colorize(
img = "https://upload.wikimedia.org/wikipedia/commons/9/9e/Breadfruit.jpg",
key = my_key
) %>%
# Saving colorized image
colorizer::clsave(destfile = "colorized.png") %>%
# Comparing colorized image to original
colorizer::juxtapose(type = "side-by-side") %>%
# Saving comparsion
colorizer::clsave(destfile = "comparison.png")
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Children, 1920s
colorizer::colorize(
img = "https://cdn.pixabay.com/photo/2013/02/13/22/38/children-81487_1280.jpg",
key = my_key,
) %>%
juxtapose("side-by-side") %>%
clsave("children1920.jpg")
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My Grandpa, 1936
colorizer::colorize(
img = "diskus1936.jpg",
key = my_key
) %>%
colorizer::juxtapose("side-by-side") %>%
colorizer::clsave("HansZumbach.jpg")
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John Wayne and Gail Russell, 1940s
colorizer::colorize(
img = "https://cdn.pixabay.com/photo/2014/07/16/03/49/john-wayne-394468_1280.jpg",
key = my_key
) %>%
colorizer::juxtapose("side-by-side") %>%
colorizer::clsave("Wayne-Russel.jpg")
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Types of juxtaposition
The comparisons are made using the magick package – for platform-specific dependencies please see the section Installation. The following juxtaposition types are currently available:
type = "side-by-side"
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type = "stacked"
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type = "c-focus"
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type = "h-focus"
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type = "v-focus"
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type = "h-split"
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type = "v-split"
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type = "d-split"
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type = "u-animate"
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type = "s-animate"
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