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Author SHA1 Message Date
DJP
f95d5efbf7 Fix Docker build: add missing deps and .dockerignore 
- Replace deprecated libgl1-mesa-glx with libgl1 (Debian Trixie)
- Add CLIP, einops, ftfy, regex dependencies for DeepGaze models
- Add backend .dockerignore to exclude .venv (128MB → 1.6MB context)
- Update Makefile with CLIP install step
- All 3 models load successfully in Docker

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 22:16:58 -05:00
DJP
2425cd2677 Fix Docker and install files for current codebase 
- Fix backend Dockerfile: install deps before copying source for
  proper layer caching (non-editable install)
- Add ai_insights, ai_score, ai_score_reason, ai_cost_usd columns
  to initial Alembic migration so fresh Docker deploys have full schema
- Add ANTHROPIC_API_KEY to docker-compose.yml, docker-compose.dev.yml,
  and .env.example
- Remove accidental backend/=0.40 pip artifact file

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 21:54:41 -05:00
DJP
2ef458ec72 Add individual analysis deletion from AnalysisView and ProjectDetail 
- Delete button on AnalysisView header (red, with confirmation dialog)
- Trash icon on each analysis card in ProjectDetail grid
- useDeleteAnalysis hook with query invalidation
- Navigates back after successful deletion

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 21:48:10 -05:00
DJP
92062b254d Add score clarity, AI design score, image format fix, cost tracking 
- Replace bare score badge with rich ScoreCard component showing
  color-coded score (green/amber/red), label, and hover tooltip
  explaining what the 0-100 Attention Focus score means
- Add AI Design Effectiveness Score (1-10) from Claude alongside
  qualitative insights, with score_reason explanation
- Fix image/png media type error by converting all images to PNG
  before sending to Claude API
- Save ai_score and ai_score_reason to DB
- Display AI score badge in InsightsPanel with color coding

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 20:37:03 -05:00
DJP
3467dbcf03 Initial commit — OliVAS visual attention analysis platform 
Full-stack application for predicting where humans look in images using
DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction,
hotspot detection, AOI analysis, rule-based insights, optional Claude AI
design analysis, and professional PDF report generation.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-23 20:20:58 -05:00