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Computer Vision and Image Recognition algorithms for R users
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README.md

image - Computer Vision and Image Recognition algorithms for R users

This repository contains a suite of R packages which perform image algorithms currently not available in other R packages like magick, imager or EBImage.

These algorithms are put into different packages because of license differences. Currently the following R packages are available:

Package Functionality License Details
image.CornerDetectionF9 FAST-9 corner detection for images BSD-2 Details
image.CornerDetectionHarris Harris corner detection for images BSD-2 Details
image.LineSegmentDetector Line Segment Detector (LSD) for images AGPL-3 Details
image.ContourDetector Unsupervised Smooth Contour Line Detection for images AGPL-3 Details
image.CannyEdges Canny Edge Detector for Images GPL-3 Details
image.Otsu Otsu's Image Segmentation Method MIT Details
image.dlib Speeded up robust features (SURF) and histogram of oriented gradients (HOG) features AGPL-3 Details
image.libfacedetection CNN for Face Detection BSD-3 Details
image.darknet Image classification using darknet with deep learning models AlexNet, Darknet, VGG-16, Extraction (GoogleNet) and Darknet19. As well object detection using the state-of-the art YOLO detection system MIT Details
image.OpenPano Image Stitching see file LICENSE Details
image.DenoiseNLMeans Non-local means denoising see file LICENSE Details

More packages and extensions are under development.

A presentation given at the useR-2017 conference is available in file presentation-user2017.pdf

Installation

  • You can see if the binary packages for your operating system are on the BNOSAC drat repo at https://github.com/bnosac/drat
  • If they are, you can just install them as follows, where you replace thepackagename with one of the packages you are interested in
install.packages("thepackagename", repos = "https://bnosac.github.io/drat")

Development packages

Install the development version of packages as follows:

install.packages("remotes")
install.packages("dlib")
remotes::install_github("bnosac/image", subdir = "image.CornerDetectionF9", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.CornerDetectionHarris", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.LineSegmentDetector", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.ContourDetector", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.CannyEdges", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.Otsu", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.dlib", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.darknet", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.DenoiseNLMeans", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.libfacedetection", build_vignettes = TRUE)
remotes::install_github("bnosac/image", subdir = "image.OpenPano", build_vignettes = TRUE)

Have a look at some vignettes

vignette("image_corner_detector_f9", package = "image.CornerDetectionF9")
vignette("image_line_segment_detector", package = "image.LineSegmentDetector")
vignette("image_contour_detector", package = "image.ContourDetector")
vignette("image_canny_edges", package = "image.CannyEdges")

CI builds

Support in image recognition

Need support in image recognition? Contact BNOSAC: http://www.bnosac.be

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