Package: rplatypus Type: Package Title: Computer Vision for Medical Imaging Version: 0.2.1 Authors@R: person("Michal", "Maj", email = "michalmaj116@gmail.com", role = c("aut", "cre")) Description: 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. License: MIT + file LICENSE URL: https://github.com/maju116/rplatypus, https://maju116.github.io/rplatypus/ BugReports: https://github.com/maju116/rplatypus/issues 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. Encoding: UTF-8 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 Config/testthat/edition: 3 VignetteBuilder: knitr Config/roxygen2/version: 8.1.0 NeedsCompilation: no Packaged: 2026-11-05 01:34:34 UTC; root Author: Michal Maj [aut, cre] Maintainer: Michal Maj Config/pak/sysreqs: python3 Repository: https://cran.r-universe.dev Date/Publication: 2026-11-04 22:00:02 UTC RemoteUrl: https://github.com/cran/rplatypus RemoteRef: HEAD RemoteSha: 3bd95253d551ac3f849d3f4fba10126a719aca0f