R Observatory: Metrics for image.CannyEdges version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

image.CannyEdges

0.1.1Package record

Implementation of the Canny Edge Detector for Images

0packages depend

2.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jan WijffelsCRAN page ↗GitHub ↗

An implementation of the Canny Edge Detector for detecting edges in images. The package provides an interface to the algorithm available at https://github.com/Neseb/canny.

Changes in 0.1.1

Use Rf_error("%s", fmt) instead of Rf_error(fmt) in tools.c:41:12 to avoid warning: format string is not a string literal
Wrap part of the examples of image_canny_edge_detector in donttest to avoid timing issues with magick on cran debian

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("image.CannyEdges", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("bnosac/image")

Development version from bnosac/image. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-image.cannyedges

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-image.CannyEdges

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-image.CannyEdges

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.5 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 92 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3includes a package overview page
Examples that run: 100%2 run in a plain check (1 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.8K

CRAN downloads in the past year

Rank #17,791 · ~8/day · ~230/mo

Releases R versions

Daily download trend is not available in this view yet.

25630 days

72390 days

2.8K1 year

Compare downloads with other packages →

Also on574 r2u1 autocran

How downloads are counted

Repository

bnosac/image ↗Organization: bnosac

286Stars

67Forks

17Open issues

3Open PRs

3Releases

148Commits

2Commit identities

image-recognitiondarknetcomputer-visiondlibrr-packagecontourssurf

148 commits · Last activity 2025-11-27 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 20
Median days to close, 50 most recently updated closed PRs: 8

Stars over time

2025-07-14 · 2812026-08-30 · 286

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bnosac/image on 2026-10-22.

Continuous integration (3)

Travis CI (config file)AppVeyortic

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing image.CannyEdges adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (0)

none

Imports (1)

Rcpp

LinkingTo (1)

Rcpp

Suggests (2)

pixmap magick

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (4)

Jan Wijffels

Vincent Maioli

Contributor, Copyright holder

BNOSAC

Copyright holder

IPOL Image Processing On Line

Copyright holder

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.1.1Latest
record
2023-11-29 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.0
record
2020-08-01
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-08-01
Total releases: 2 / 6 yrs
License: GPL-3 OSI
Download size: 904 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("image.CannyEdges")

Format

Wijffels, J., BNOSAC, IPOL Image Processing On Line, & Vincent Maioli. (2023). image.CannyEdges: Implementation of the Canny Edge Detector for Images (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.image.CannyEdges

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for image.CannyEdges version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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