Package: image.CornerDetectionF9 0.1.1

Jan Wijffels

image.CornerDetectionF9: Find Corners in Digital Images with FAST-9

An implementation of the "FAST-9" corner detection algorithm explained in the paper 'FASTER and better: A machine learning approach to corner detection' by Rosten E., Porter R. and Drummond T. (2008), available at <doi:10.48550/arXiv.0810.2434>. The package allows to detect corners in digital images.

Authors:Jan Wijffels [aut, cre, cph], BNOSAC [cph], Julien Cayzac [ctb, cph]

image.CornerDetectionF9_0.1.1.tar.gz
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image.CornerDetectionF9_0.1.1.tar.gz(r-4.7-arm64)image.CornerDetectionF9_0.1.1.tar.gz(r-4.7-x86_64)image.CornerDetectionF9_0.1.1.tar.gz(r-4.6-arm64)image.CornerDetectionF9_0.1.1.tar.gz(r-4.6-x86_64)
image.CornerDetectionF9_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
image.CornerDetectionF9/json (API)

# Install 'image.CornerDetectionF9' in R:
install.packages('image.CornerDetectionF9', repos = c('https://bnosac.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bnosac/image/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

canny-edge-detectioncomputer-visioncontoursdarknetdlibf9harris-cornersharris-interest-point-detectorhog-featuresimage-algorithmsimage-recognitionopenpanootsusurfcpp

5.16 score 286 stars 6 scripts 335 downloads 1 exports 1 dependencies

Last updated from:f87c039742. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK110
source / vignettesOK138
linux-release-arm64OK97
linux-release-x86_64OK126
macos-release-arm64OK83
macos-release-x86_64OK228
macos-oldrel-arm64OK82
macos-oldrel-x86_64OK192
windows-devel-arm64OK213
windows-devel-x86_64OK121
windows-release-arm64OK217
windows-release-x86_64OK86
windows-oldrel-x86_64OK89
wasm-releaseOK77

Exports:image_detect_corners

Dependencies:Rcpp