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Computer Vision and Image Recognition algorithms for R users
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# 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](https://CRAN.R-project.org/package=magick), [imager](https://CRAN.R-project.org/package=imager) or [EBImage](https://bioconductor.org/packages/release/bioc/html/EBImage.html).
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.CornerDetectionF9) |
| **image.CornerDetectionHarris**| Harris corner detection for images | BSD-2 | [Details](image.CornerDetectionHarris) |
| **image.LineSegmentDetector** | Line Segment Detector (LSD) for images | AGPL-3 | [Details](image.LineSegmentDetector) |
| **image.ContourDetector** | Unsupervised Smooth Contour Line Detection for images | AGPL-3 | [Details](image.ContourDetector) |
| **image.CannyEdges** | Canny Edge Detector for Images | GPL-3 | [Details](image.CannyEdges) |
| **image.Otsu** | Otsu's Image Segmentation Method | MIT | [Details](image.Otsu) |
| **image.dlib** | Speeded up robust features (SURF) and histogram of oriented gradients (HOG) features | AGPL-3 | [Details](image.dlib) |
| **image.libfacedetection** | CNN for Face Detection | BSD-3 | [Details](image.libfacedetection) |
| **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.darknet) |
| **image.OpenPano** | Image Stitching | see file LICENSE | [Details](image.OpenPano) |
| **image.DenoiseNLMeans** | Non-local means denoising | see file LICENSE | [Details](image.DenoiseNLMeans) |
More packages and extensions are under development.
A presentation given at the useR-2017 conference is available in file [presentation-user2017.pdf](presentation-user2017.pdf)
## Installation
- Some packages are on CRAN
```
install.packages("image.CannyEdges")
install.packages("image.ContourDetector")
install.packages("image.CornerDetectionF9")
install.packages("image.CornerDetectionHarris")
install.packages("image.dlib")
install.packages("image.libfacedetection")
install.packages("image.LineSegmentDetector")
install.packages("image.Otsu")
install.packages("image.binarization")
```
- 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")
remotes::install_github("bnosac/image", subdir = "image.CornerDetectionF9")
remotes::install_github("bnosac/image", subdir = "image.CornerDetectionHarris")
remotes::install_github("bnosac/image", subdir = "image.LineSegmentDetector")
remotes::install_github("bnosac/image", subdir = "image.ContourDetector")
remotes::install_github("bnosac/image", subdir = "image.CannyEdges")
remotes::install_github("bnosac/image", subdir = "image.Otsu")
remotes::install_github("bnosac/image", subdir = "image.dlib")
remotes::install_github("bnosac/image", subdir = "image.darknet")
remotes::install_github("bnosac/image", subdir = "Excerpt of 4,433 characters
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