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" <doi:10.1016/j.procs.2012.09.119>.
| Version: | 1.0.1 |
| Imports: | imager, grDevices, graphics, utils, tools, gplots |
| Suggests: | testthat, knitr, rmarkdown, spelling |
| Published: | 2020-06-09 |
| Author: | David Stomski [aut, cre] |
| Maintainer: | David Stomski <stomperusa at verizon.net> |
| License: | MIT + file LICENSE |
| URL: | <https://github.com/stomperusa/boundingbox> |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | boundingbox results |
| Reference manual: | boundingbox.pdf |
| Vignettes: |
Introduction to Boundingbox |
| Package source: | boundingbox_1.0.1.tar.gz |
| Windows binaries: | r-devel: boundingbox_1.0.1.zip, r-release: boundingbox_1.0.1.zip, r-oldrel: boundingbox_1.0.1.zip |
| macOS binaries: | r-release (arm64): boundingbox_1.0.1.tgz, r-oldrel (arm64): boundingbox_1.0.1.tgz, r-release (x86_64): boundingbox_1.0.1.tgz, r-oldrel (x86_64): boundingbox_1.0.1.tgz |
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