[{"_1":2,"_181":-5,"_182":-5},"loaderData",{"_3":4,"_18":19,"_25":26,"_156":157},"root",{"_5":-5,"_6":-7,"_7":8,"_9":-7,"_10":11,"_12":-7,"_13":14,"_15":16,"_17":11},"currentUser","primaryEmail","siteVerification","6LeIxAcTAAAAAJcZVRqyHh71UMIEGNQ_MXjiZKhI","toast","enableDev",false,"incidentStatus","theme","system","contrast","normal","dockerRebrandTour","routes/_layout",{"_20":-5,"_21":22,"_23":11,"_24":22},"username","isAskGordonEnabled",true,"showMinimalLanding","showHoneypotTrap","routes/_layout.r.$namespace.$reponame",{"_27":28,"_29":-5,"_30":11,"_31":11,"_32":33,"_34":35,"_36":-5,"_37":11,"_38":39,"_88":-5,"_89":90,"_144":-5,"_145":11,"_146":22,"_147":11,"_148":11,"_149":-5,"_150":11,"_151":-5,"_152":153,"_154":91,"_155":-7},"canonicalUrl","https://hub.docker.com/r/mlampros/openimager/tags","mcpServer","canSeeDockerfile","canSeeAutobuilds","namespace","mlampros","reponame","openimager","cloudBuildSource","isAutobuildsAvailable","repo",{"_40":41,"_42":43,"_45":46,"_47":48,"_49":11,"_50":51,"_52":53,"_54":55,"_57":35,"_32":33,"_58":59,"_60":44,"_61":62,"_63":64,"_65":66,"_67":-5,"_68":62,"_69":70,"_71":11,"_72":33,"_73":74,"_79":11,"_80":81,"_85":33,"_86":87},"categories",[],"content_types",[44],"image","date_registered","2019-11-29T11:43:32.777252Z","description","docker image for the OpenImageR package ","is_private","last_updated","2023-07-08T07:57:03.375755Z","last_modified","2024-10-16T13:48:34.145251Z","media_types",[56],"application/vnd.oci.image.index.v1+json","name","pull_count",219,"repository_type","star_count",0,"status",1,"status_description","active","source","collaborator_count","full_description","\n[![tic](https://github.com/mlampros/OpenImageR/workflows/tic/badge.svg?branch=master)](https://github.com/mlampros/OpenImageR/actions)\n[![codecov.io](https://codecov.io/github/mlampros/OpenImageR/coverage.svg?branch=master)](https://codecov.io/github/mlampros/OpenImageR?branch=master)\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/OpenImageR)](http://cran.r-project.org/package=OpenImageR)\n[![Downloads](http://cranlogs.r-pkg.org/badges/grand-total/OpenImageR?color=blue)](http://www.r-pkg.org/pkg/OpenImageR)\n $\"Buy$ \n[![](https://img.shields.io/docker/automated/mlampros/openimager.svg)](https://hub.docker.com/r/mlampros/openimager)\n[![Dependencies](https://tinyverse.netlify.com/badge/OpenImageR)](https://cran.r-project.org/package=OpenImageR)\n\n\n## OpenImageR\n
\n\nThe OpenImageR package is an image processing library. It includes functions for image preprocessing, filtering and image recognition. More details on the functionality of OpenImageR can be found in the [first](http://mlampros.github.io/2016/07/08/OpenImageR/), [second](http://mlampros.github.io/2018/08/08/Gabor_Feature_Extraction/) and [third](http://mlampros.github.io/2018/11/09/Image_Segmentation_Superpixels_Clustering/) blog-posts, and in the package Documentation ( *scroll down for information on how to use the* **docker image** )\n

\n\n\n**UPDATE 06-11-2018**\n\nAs of version 1.1.2 the *OpenImageR* package allows R package maintainers to perform **linking between packages at a C++ code (Rcpp) level**. This means that the Rcpp functions of the *OpenImageR* package can be called in the C++ files of another package. In the next lines I'll give detailed explanations on how this can be done:\n\n
\n\nAssumming that an R package ('PackageA') calls one of the *OpenImageR* Rcpp functions. Then the maintainer of 'PackageA' has to :\n\n
\n\n* **1st.** install the *OpenImageR* package to take advantage of the new functionality either from CRAN using,\n\n
\n\n\n```R\n\ninstall.packages(\"OpenImageR\")\n \n\n```\n\n
\n\nor download the latest version from Github using the *devtools* package,\n\n
\n\n```R\n\ndevtools::install_github('mlampros/OpenImageR')\n \n\n```\n\n
\n\n* **2nd.** update the **DESCRIPTION** file of 'PackageA' and especially the *LinkingTo* field by adding the *OpenImageR* package (besides any other packages),\n\n
\n\n```R\n\nLinkingTo: OpenImageR\n\n```\n\n
\n\n* **3rd.** open a **new C++ file** (for instance in Rstudio) and at the top of the file add the following 'headers', 'depends' and 'plugins',\n\n
\n\n```R\n\n# include \n# include \n// [[Rcpp::depends(\"RcppArmadillo\")]]\n// [[Rcpp::depends(OpenImageR)]]\n// [[Rcpp::plugins(cpp11)]]\n\n\n```\n
\n\nThe available C++ classes (*Utility_functions*, *Gabor_Features*, *Gabor_Features_Rcpp*, *HoG_features*, *Image_Hashing*) can be found in the **inst/include/OpenImageRheader.h** file.\n\n
\n\nA *complete minimal example* would be :\n\n
\n\n```R\n\n# include \n# include \n// [[Rcpp::depends(\"RcppArmadillo\")]]\n// [[Rcpp::depends(OpenImageR)]]\n// [[Rcpp::plugins(cpp11)]]\n\n\n// [[Rcpp::export]]\narma::mat rgb_2gray_exp(arma::cube RGB_image) {\n\n oimageR::Utility_functions UTLF;\n return UTLF.rgb_2gray_rcpp(RGB_image);\n}\n\n\n```\n\n
\n\nThen, by opening an R file a user can call the *rgb_2gray_exp* function using,\n\n
\n\n```R\n\nRcpp::sourceCpp('example.cpp') # assuming that the previous Rcpp code is included in 'example.cpp' \n \nset.seed(1)\nim_rgb = array(runif(30000), c(100, 100, 3))\n\nim_grey = rgb_2gray_exp(im_rgb)\n\nstr(im_grey)\n\n```\n\n
\n\nUse the following link to report bugs/issues,\n

\n\n[https://github.com/mlampros/OpenImageR/issues](https://github.com/mlampros/OpenImageR/issues)\n\n\n
\n\n\n**UPDATE 29-11-2019**\n\n
\n\n**Docker images** of the *OpenImageR* package are available to download from my [dockerhub](https://hub.docker.com/r/mlampros/openimager) account. The images come with *Rstudio* and the *R-development* version (latest) installed. The whole process was tested on Ubuntu 18.04. To **pull** & **run** the image do the following,\n\n
\n\n```R\n\ndocker pull mlampros/openimager:rstudiodev\n\ndocker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 mlampros/openimager:rstudiodev\n\n```\n\n
\n\nThe user can also **bind** a home directory / folder to the image to use its files by specifying the **-v** command,\n\n
\n\n```R\n\ndocker run -d --name rstudio_dev -e USER=rstudio -e PASSWORD=give_here_your_password --rm -p 8787:8787 -v /home/YOUR_DIR:/home/rstudio/YOUR_DIR mlampros/openimager:rstudiodev\n\n\n```\n\n
\n\nIn the latter case you might have first give permission privileges for write access to **YOUR_DIR** directory (not necessarily) using,\n\n
\n\n```R\n\nchmod -R 777 /home/YOUR_DIR\n\n\n```\n\n
\n\nThe **USER** defaults to *rstudio* but you have to give your **PASSWORD** of preference (see [www.rocker-project.org](https://www.rocker-project.org/) for more information).\n\n
\n\nOpen your web-browser and depending where the docker image was *build / run* give, \n\n
\n\n**1st. Option** on your personal computer,\n\n
\n\n```R\nhttp://0.0.0.0:8787 \n\n```\n\n
\n\n**2nd. Option** on a cloud instance, \n\n
\n\n```R\nhttp://Public DNS:8787\n\n```\n\n
\n\nto access the Rstudio console in order to give your username and password.\n\n
\n\n### **Citation:**\n\nIf you use the code of this repository in your paper or research please cite both **OpenImageR** and the **original articles / software** `https://CRAN.R-project.org/package=OpenImageR`:\n\n
\n\n```R\n@Manual{,\n title = {{OpenImageR}: An Image Processing Toolkit},\n author = {Lampros Mouselimis},\n year = {2021},\n note = {R package version 1.1.8},\n url = {https://CRAN.R-project.org/package=OpenImageR},\n}\n```\n\n
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mlampros/openimager

Tags for mlampros/openimager