Changes in version 0.1.1 (2026-07-22)                  

  - 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.

                        Changes in version 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.