Add non-flat background mode (--no-chroma / chroma.enabled: false)
No colour key at all: segmentation alone drives the trimap (mode forced to 'seg', whose chroma terms degrade to no-ops on a zero background- confidence map), ViTMatte still refines the unknown band at full resolution, and pymatting still estimates edge foreground colour. Every colour-keyed stage is bypassed: background auto-detect, the directional hue split, chroma alpha suppression, despill, the cross-check veto (its suspect zone is background-hued by definition; with reuse_as_seg the second opinion still serves as the segmenter), and the unmix fallback. Guards: requires segmentation.enabled and matting_method 'vitmatte' (clear errors otherwise); despill/foreground handle model=None. Validation: flat-background default path is bit-identical pre/post (alpha and RGB |D|max = 0 on TestImage3). On a known-alpha subject composited over a gradient+blotch background, recovered alpha scores MAE 0.0018 / IoU@0.5 0.993 (0.995 with --cross-check-as-seg); the same input correctly fails auto-detection in default mode. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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@@ -10,7 +10,7 @@ from .settings import DespillSettings
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def despill(
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rgb: np.ndarray,
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alpha: np.ndarray,
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model: BackgroundModel,
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model: BackgroundModel | None,
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settings: DespillSettings,
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) -> tuple[np.ndarray, np.ndarray]:
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"""Remove background-colour spill from the foreground.
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@@ -24,7 +24,8 @@ def despill(
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Returns the corrected RGB (uint8) and the per-pixel despill weight (float32).
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"""
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if not settings.enabled:
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# model is None with chroma disabled: no key colour means no spill direction.
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if not settings.enabled or model is None:
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return rgb.copy(), np.zeros(alpha.shape, dtype=np.float32)
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bg_lab = np.asarray(model.lab_center, dtype=np.float32)
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