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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.