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boundingbox  

Create a Bounding Box in an Image
View on CRAN: Click here


Download and install boundingbox package within the R console
Install from CRAN:
install.packages("boundingbox")

Install from Github:
library("remotes")
install_github("cran/boundingbox")

Install by package version:
library("remotes")
install_version("boundingbox", "1.0.1")



Attach the package and use:
library("boundingbox")
Maintained by
David Stomski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2020-06-09
Description:
Generate ground truth cases for object localization algorithms. Cycle through a list of images, select points around which to generate bounding boxes and assign classifiers. Output the coordinates, and images annotated with boxes and labels. For an example study that uses bounding boxes for image localization and classification see Ibrahim, Badr, Abdallah, and Eissa (2012) "Bounding Box Object Localization Based on Image Superpixelization" .
How to cite:
David Stomski (2020). boundingbox: Create a Bounding Box in an Image. R package version 1.0.1, https://cran.r-project.org/web/packages/boundingbox. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for boundingbox
Functions, R codes and Examples using the boundingbox R package
Some associated functions: boxer . boxer2 . outBox . 
Some associated R codes: boxer.R . boxer2.R . boxpoints.R . capturepoints.R . checkbounds.R . outbox.R . paramcheck.R . recaptureimage.R . showplot.R .  Full boundingbox package functions and examples
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