Semantic segmentation and object detection for medical images, from a folder of pictures to a trained model and a figure, in a handful of lines or one configuration file. Architectures, losses and training run on 'PyTorch' through 'pyplatypus', a 'Python' package which is installed and isolated automatically; nothing has to be set up by hand. R keeps the parts that make an analysis fast - reading and combining masks, drawing boxes, plotting, comparing models.
| Version: | 0.2.1 |
| Depends: | R (≥ 4.1) |
| Imports: | ggplot2, grDevices, parallel, rlang, reticulate (≥ 1.41), tools, utils |
| Suggests: | callr, jsonlite, knitr, pkgload, png, RNifti, rmarkdown, testthat (≥ 3.0.0), withr, yaml |
| Published: | 2026-11-04 |
| DOI: | 10.32614/CRAN.package.rplatypus (may not be active yet) |
| Author: | Michal Maj [aut, cre] |
| Maintainer: | Michal Maj <michalmaj116 at gmail.com> |
| BugReports: | https://github.com/maju116/rplatypus/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/maju116/rplatypus, https://maju116.github.io/rplatypus/ |
| NeedsCompilation: | no |
| SystemRequirements: | Python (>= 3.10). Not a prerequisite the user installs: the package declares what it needs through 'reticulate' and 'uv' provisions an isolated environment on first use, leaving any system Python untouched. |
| Materials: | README, NEWS |
| CRAN checks: | rplatypus results |
| Package source: | rplatypus_0.2.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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