evaluate (>= 0.10.1), httpuv (>= 1.3), knitr (>= 1.6),
jsonlite (>= 1.4), devtools (>= 1.12), sys (>= 1.6), webutils
(>= 0.6), curl (>= 2.6), sendmailR, rappdirs, zip, mime,
protolite, brew, openssl

evaluate (>= 0.10), httpuv (>= 1.3), knitr (>= 1.6), jsonlite
(>= 1.4), devtools (>= 1.12), sys (>= 1.3), webutils (>= 0.5),
curl (>= 2.5), rappdirs, zip, mime, protolite, brew, openssl,
pander
unix (>= 1.3), feather, sendmailR, R.rsp

evaluate (>= 0.12), httpuv (>= 1.3), knitr (>= 1.6), jsonlite
(>= 1.4), remotes (>= 2.0.2), sys (>= 2.1), webutils (>= 0.6),
curl (>= 2.6), sendmailR, rappdirs, zip, mime, protolite, brew,
openssl
unix (>= 1.4), haven, feather, pander, R.rsp

evaluate (>= 0.12), httpuv (>= 1.3), knitr (>= 1.6), jsonlite
(>= 1.4), remotes (>= 2.0.2), sys (>= 2.1), webutils (>= 0.6),
curl (>= 4.0), rappdirs, zip, mime, protolite, brew, openssl

unix (>= 1.4), haven, feather, pander, R.rsp, svglite

unix (>= 1.5.3), haven, feather, pander, R.rsp, svglite

arrow, unix (>= 1.5.3), haven, pander, R.rsp, svglite

Some demo R functions and apps for OpenCPU

Jeroen Ooms and others as specified in the manual page.
Some demo R functions and apps for the OpenCPU framework.
See http://www.opencpu.org for more details.
lattice, ggplot2, quantmod, plyr, reshape2, lattice, ggplot2,
httpRequest, RCurl, RJSONIO, mgcv

Encodes R objects to a standardized JSON format

Bindings to 'OpenCV' Computer Vision Library
c(person("Jeroen", "Ooms", role = c("aut", "cre"),
email = "jeroen@berkeley.edu", comment = c(ORCID = "0000-0002-4035-0289")))
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.
OpenCV: libopencv-dev (Debian, Ubuntu) or
opencv-devel (Fedora)

c(
person("Jeroen", "Ooms", role = c("aut", "cre"), email = "jeroen@berkeley.edu",
comment = c(ORCID = "0000-0002-4035-0289")),
person('Jan', 'Wijffels', role = 'aut'))
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.
OpenCV 3 or newer: libopencv-dev (Debian, Ubuntu)
or opencv-devel (Fedora)
Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>),
Jan Wijffels [aut]