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Dlib is a C++ toolkit containing machine learning algorithms and computer vision tools. It is used in a wide range of domains including robotics, embedded devices, mobile phones, and large high performance computing environments. This package allows R users to use dlib through the Rcpp package.
The version of dlib which is included is version 19.2
Install from CRAN
install.packages("dlib")
Install this development version from github.
install.packages("devtools")
devtools::install_github("bnosac/dlib")
An example of the usage of the package is included regarding identifying SURF descriptors in an image.
## See an example of the usage
help("dlib-package")
The following shows how to include dlib inside an R package which uses Rcpp. Examples on using Rcpp in that way can be found at the Rcpp gallery, e.g. http://gallery.rcpp.org/articles/using-boost-with-bh.
#include <Rcpp.h>
using namespace Rcpp;
// [[Rcpp::plugins(cpp11)]]
// [[Rcpp::depends(dlib)]]
#include <dlib/algs.h>
#include <dlib/image_processing/frontal_face_detector.h>
An example of this can be found at the image.dlib R package where it is used for image recognition. More information: https://github.com/bnosac/image/image.dlib.
Need support in machine learning, robotics or image recognition? Contact BNOSAC: http://www.bnosac.be
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.