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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:

  • image.CornerDetectionF9: FAST-9 corner detection for images (license: BSD-2). More info
  • image.LineSegmentDetector: Line Segment Detector (LSD) for images (license: AGPL-3). More info
  • image.ContourDetector: Unsupervised Smooth Contour Line Detection for images (license: AGPL-3). More info
  • image.CannyEdges: Canny Edge Detector for Images (license: GPL-3). More info
  • image.dlib: Speeded up robust features (SURF) and histogram of oriented gradients (HOG) features (license: AGPL-3). More info
  • 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 (license: MIT). More info
  • image.OpenPano: Image Stitching (license: see file LICENSE). More info
  • image.DenoiseNLMeans: Non-local means denoising (license: see file LICENSE). More info

More packages and extensions are under development.

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

Installation

Install all packages

install.packages("devtools")
install.packages("dlib")
devtools::install_github("bnosac/image", subdir = "image.CornerDetectionF9", build_vignettes = TRUE)
devtools::install_github("bnosac/image", subdir = "image.LineSegmentDetector", build_vignettes = TRUE)
devtools::install_github("bnosac/image", subdir = "image.ContourDetector", build_vignettes = TRUE)
devtools::install_github("bnosac/image", subdir = "image.CannyEdges", build_vignettes = TRUE)
devtools::install_github("bnosac/image", subdir = "image.dlib", build_vignettes = TRUE)
devtools::install_github("bnosac/image", subdir = "image.darknet", 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")

Support in image recognition

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