Commit Graph

3 Commits

Author SHA1 Message Date
lhk229 fe97d692a7 Remove dead colour-model/despill code; simplify despill; refresh stale docs
- chroma: drop BackgroundModel.hsv_center/hue_sigma (unused since the green gating
  went away), their estimation, _hue_distance, and the now-unused hsv channel from
  convert_color_spaces (one fewer cvtColor per image).
- despill: delete the dead green-channel-algebra path (the pipeline always passes a
  colour) and fold the remaining Lab-direction despill into a single despill() with
  no screen_color arg (127 -> 60 lines). Renamed despill_green -> despill.
- settings: remove the now-dead ChromaSettings.hue_sigma_min and
  DespillSettings.green_excess_margin (plus the matching config lines).
- docs/comments: generalise stale "green" wording to "background colour" (module
  docstring, alpha_post/trimap/foreground/settings) and rename the trimap variable
  green_bg -> screen_bg.

Kept: the unmix foreground fallback, --matting-method chroma, and green/blue as
illustrative examples. Verified: package compiles, both configs parse, and an
auto-detect end-to-end run is unchanged.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-02 17:49:20 +08:00
lhk229 a6d84845c6 Default to BiRefNet + CPU; add --seg-backend to pick the segmenter
- Segmentation backend now defaults to birefnet (ZhengPeng7/BiRefNet); anime-seg is
  selected at runtime with --seg-backend anime-seg, which also swaps in the matching
  weights (unknown backends raise). Config files stay for detailed tuning, not
  backend selection.
- Default device is now cpu everywhere (dataclass defaults, default.yaml,
  birefnet.yaml); pass --device cuda for GPU. Avoids a hard CUDA-required failure on
  machines without a CUDA-enabled PyTorch build.
- Docs: README + workflow status note updated (backend via --seg-backend, CPU
  default, examples no longer force --device cuda).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-02 16:32:13 +08:00
lhk229 7308730528 Add configs/birefnet.yaml for the BiRefNet segmentation backend
A copy of default.yaml with segmentation.backend switched to birefnet
(ZhengPeng7/BiRefNet). BiRefNet is a general salient-object segmenter, so it
handles non-anime subjects (text, logos, real photos) that anime-seg returns an
empty mask for. Run with: --config configs/birefnet.yaml

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-01 19:54:49 +08:00