OpenImageR: An Image Processing Toolkit

Incorporates functions for image preprocessing, filtering and image recognition. The package takes advantage of 'RcppArmadillo' to speed up computationally intensive functions. The histogram of oriented gradients descriptor is a modification of the 'findHOGFeatures' function of the 'SimpleCV' computer vision platform and the average_hash(), dhash() and phash() functions are based on the 'ImageHash' python library.

Version: 1.0.4
Imports: Rcpp (≥ 0.12.5), shiny, jpeg, png, tiff, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, grid, covr
Published: 2017-02-11
Author: Lampros Mouselimis [aut, cre], Sight Machine [cph] (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner [cph] (average_hash, dhash and phash functions of the ImageHash python library)
Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com>
BugReports: https://github.com/mlampros/OpenImageR/issues
License: GPL-3
Copyright: inst/COPYRIGHTS
OpenImageR copyright details
URL: https://github.com/mlampros/OpenImageR
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: OpenImageR results

Downloads:

Reference manual: OpenImageR.pdf
Vignettes: Functionality of the OpenImageR package
Package source: OpenImageR_1.0.4.tar.gz
Windows binaries: r-devel: OpenImageR_1.0.4.zip, r-release: OpenImageR_1.0.4.zip, r-oldrel: not available
OS X Mavericks binaries: r-release: OpenImageR_1.0.4.tgz, r-oldrel: OpenImageR_1.0.4.tgz
Old sources: OpenImageR archive

Reverse dependencies:

Reverse imports: ClusterR

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