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DJP c1b80eb9a7 Replace entropy score with composite Design Effectiveness Score 
The pure Shannon entropy score penalized well-designed ads with multiple
intentional visual elements (e.g. hero product + text + logo scored ~8/100).

New composite score (0-100) weights four components:
- Peak Dominance (30%): strength of #1 hotspot vs rest
- Hierarchy Clarity (25%): monotonic intensity ordering
- Gaze Coherence (25%): smooth spatial gaze path
- Entropy Concentration (20%): sqrt-softened entropy

The raw entropy score is preserved as entropy_score for users who want it,
visible in the ScoreCard hover tooltip and PDF report.

Also adds auto-create DB tables on startup for fresh Docker deploys.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 22:50:12 -05:00
..
__init__.py Initial commit — OliVAS visual attention analysis platform 2026-02-23 20:20:58 -05:00
analysis.py Replace entropy score with composite Design Effectiveness Score 2026-02-24 22:50:12 -05:00
aoi.py Initial commit — OliVAS visual attention analysis platform 2026-02-23 20:20:58 -05:00
base.py Initial commit — OliVAS visual attention analysis platform 2026-02-23 20:20:58 -05:00
comparison.py Initial commit — OliVAS visual attention analysis platform 2026-02-23 20:20:58 -05:00
project.py Initial commit — OliVAS visual attention analysis platform 2026-02-23 20:20:58 -05:00