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.

Maintainer: Lampros Mouselimis <mouselimislampros at gmail.com>

Author(s): Lampros Mouselimis*, Sight Machine* (findHOGFeatures function of the SimpleCV computer vision platform), Johannes Buchner* (average_hash, dhash and phash functions of the ImageHash python library)

Install package and any missing dependencies by running this line in your R console:

install.packages("OpenImageR")

Depends
Imports Rcpp(>=0.12.5), shiny, jpeg, png, tiff, utils
Suggests testthat, knitr, rmarkdown, grid, covr
Enhances
Linking to Rcpp, RcppArmadillo
Reverse
depends
Reverse
imports
ClusterR
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package OpenImageR
Materials
URL https://github.com/mlampros/OpenImageR
Task Views
Version 1.0.4
Published 2017-02-11
License GPL-3
BugReports https://github.com/mlampros/OpenImageR/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks OpenImageR check results
Package source OpenImageR_1.0.4.tar.gz