diff options
| author | Paul Buetow <paul@buetow.org> | 2026-03-25 11:03:09 +0200 |
|---|---|---|
| committer | Paul Buetow <paul@buetow.org> | 2026-03-25 11:03:09 +0200 |
| commit | cd063bc60a93ed4664d0246218d70880cd3ee291 (patch) | |
| tree | 033fd5b98cb318ff7d81e613cd1d6ea4ff2abf85 | |
| parent | 4b642f7762a0d5f432c81f1d5b87554dffd972de (diff) | |
photo-enhance: reduce contrast a further 0.05 across all scene profiles
Second round of user-feedback contrast reduction (still a bit high after -0.10):
landscape/golden_hour/overcast/street 1.10→1.05
indoor/beach/default 1.05→1.00 (portrait/night already at 1.00)
Retrospective fix applied to 26 existing _e.jpg photos via:
magick -function polynomial 0.9545,0.02275
(equivalent to undoing 1.10 and re-applying 1.05 around the 0.5 midpoint)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
| -rw-r--r-- | smart_photo_node.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/smart_photo_node.py b/smart_photo_node.py index d3b70e9..ca19e06 100644 --- a/smart_photo_node.py +++ b/smart_photo_node.py @@ -270,21 +270,21 @@ class AdaptivePhotoGrade: # Portraits: gentle — preserve skin tones, avoid over-sharpening hair "portrait": dict(stops=0.30, contrast=1.00, saturation=1.00, detail=1.2, denoise=0.15), # Landscapes: vivid — strong clarity, saturated skies & greens - "landscape": dict(stops=0.20, contrast=1.10, saturation=1.15, detail=1.8, denoise=0.05), + "landscape": dict(stops=0.20, contrast=1.05, saturation=1.15, detail=1.8, denoise=0.05), # Night: lift shadows aggressively, reduce sharpening (hides noise) "night": dict(stops=0.80, contrast=1.00, saturation=0.90, detail=0.8, denoise=0.30), # Indoor: correct typically warm/dim ambient light - "indoor": dict(stops=0.50, contrast=1.05, saturation=1.05, detail=1.3, denoise=0.10), + "indoor": dict(stops=0.50, contrast=1.00, saturation=1.05, detail=1.3, denoise=0.10), # Golden hour: enhance warmth, lift shadow detail - "golden_hour": dict(stops=0.25, contrast=1.10, saturation=1.20, detail=1.5, denoise=0.05), + "golden_hour": dict(stops=0.25, contrast=1.05, saturation=1.20, detail=1.5, denoise=0.05), # Overcast: punch contrast to compensate for flat light - "overcast": dict(stops=0.40, contrast=1.10, saturation=1.10, detail=1.6, denoise=0.08), + "overcast": dict(stops=0.40, contrast=1.05, saturation=1.10, detail=1.6, denoise=0.08), # Beach: bright scene, protect highlights, boost blues/greens - "beach": dict(stops=0.15, contrast=1.05, saturation=1.20, detail=1.7, denoise=0.05), + "beach": dict(stops=0.15, contrast=1.00, saturation=1.20, detail=1.7, denoise=0.05), # Street: punchy contrast, neutral colour - "street": dict(stops=0.35, contrast=1.10, saturation=1.05, detail=1.5, denoise=0.08), + "street": dict(stops=0.35, contrast=1.05, saturation=1.05, detail=1.5, denoise=0.08), # Balanced fallback for unrecognised labels - "default": dict(stops=0.40, contrast=1.05, saturation=1.05, detail=1.5, denoise=0.10), + "default": dict(stops=0.40, contrast=1.00, saturation=1.05, detail=1.5, denoise=0.10), } @classmethod |