Experimenting with computer vision and machine learning in R. This package exposes some of the available 'OpenCV' vision algorithms, such as edge, body or face detection. These can either be applied to analyze static images, or to filter live video footage from a camera device.
Version: | 0.1 |
Imports: | Rcpp, magrittr |
LinkingTo: | Rcpp |
Published: | 2019-04-01 |
Author: | Jeroen Ooms |
Maintainer: | Jeroen Ooms <jeroen at berkeley.edu> |
BugReports: | https://github.com/ropensci/opencv/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/ropensci/opencv |
NeedsCompilation: | yes |
SystemRequirements: | OpenCV: libopencv-dev (Debian, Ubuntu) or opencv-devel (Fedora) |
CRAN checks: | opencv results |
Reference manual: | opencv.pdf |
Package source: | opencv_0.1.tar.gz |
Windows binaries: | r-devel: opencv_0.1.zip, r-release: opencv_0.1.zip, r-oldrel: opencv_0.1.zip |
macOS binaries: | r-release: opencv_0.1.tgz, r-oldrel: opencv_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=opencv to link to this page.