rembg 0.1.1
- Ask for confirmation before downloading models into the cache, per
CRAN policy: an interactive prompt confirms the location on first use,
and non-interactive use opts in with
options(rembg.download = TRUE) or
REMBG_DOWNLOAD=1.
rembg 0.1.0
- First release. An R port of the Python rembg
background-removal package, running pre-trained ONNX segmentation models
through onnxr (no Python), with
jpeg/png and base R for image IO,
resize and compositing.
- 16 models plus 3 bring-your-own-model presets: the u2net family,
silueta, isnet (general/anime), birefnet (7 variants), bria-rmbg,
u2net_cloth_seg, sam, and u2net_custom / dis_custom / ben_custom.
rembg() outputs a transparent RGBA cutout, the mask
only, a solid background colour, raw PNG bytes, or a written file.- Optional closed-form alpha matting (a port of pymatting)
for soft hair/fur edges, JPEG EXIF orientation handling, per-garment
clothing segmentation, and SAM click-to-segment point prompts.