Experimenting with computer vision and machine learning in R. This package exposes some of the available 'OpenCV' <https://opencv.org/> 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: | 0.2.2 |
Imports: | Rcpp, magrittr |
LinkingTo: | Rcpp |
Suggests: | grDevices |
Published: | 2022-04-28 |
Author: | Jeroen Ooms [aut, cre], Jan Wijffels [aut] |
Maintainer: | Jeroen Ooms <jeroen at berkeley.edu> |
BugReports: | https://github.com/ropensci/opencv/issues |
License: | MIT + file LICENSE |
URL: | https://docs.ropensci.org/opencv/ https://github.com/ropensci/opencv (devel) |
NeedsCompilation: | yes |
SystemRequirements: | OpenCV 3 or newer: libopencv-dev (Debian, Ubuntu) or opencv-devel (Fedora) |
Materials: | NEWS |
CRAN checks: | opencv results |
Reference manual: | opencv.pdf |
Package source: | opencv_0.2.2.tar.gz |
Windows binaries: | r-devel: opencv_0.2.2.zip, r-release: opencv_0.2.2.zip, r-oldrel: opencv_0.2.2.zip |
macOS binaries: | r-release (arm64): opencv_0.2.2.tgz, r-oldrel (arm64): opencv_0.2.2.tgz, r-release (x86_64): opencv_0.2.2.tgz, r-oldrel (x86_64): opencv_0.2.2.tgz |
Old sources: | opencv archive |
Reverse suggests: | image.textlinedetector, recogito |
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