ai_qc

Oliver/ai_qc

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Author	SHA1	Message	Date
nickviljoen	b6f5f7471e	Tune background_contrast prompt: focus on actual visibility not colour similarity The prompt was too aggressive about light products on light backgrounds, causing professional product photography on white backgrounds to fail (e.g. L'Oreal cream jar on white). Now evaluates whether the product is actually VISIBLE and DISTINGUISHABLE (via shadows, edges, texture, contrasting elements) rather than failing on theoretical colour match. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-04-07 19:13:49 +02:00
nickviljoen	a580d4bb0f	Revert L'Oreal profile to 3 checks and add hidden text detection Reverted loreal_static from 2-check (visual_readability_contrast) to 3-check setup (language_consistency, text_readability, background_contrast) to avoid score dilution. Updated text_readability and background_contrast prompts from POS-focused to digital marketing, and added critical hidden/ invisible text detection (black-on-black, white-on-white scanning). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-30 12:28:57 +02:00
nickviljoen	3fec052c12	Create frontend and backend folder structure for deployment Organized the application into separate frontend and backend directories for cleaner deployment and better separation of concerns. Frontend Directory (frontend/): - index.html: Single-page web interface (renamed from web_ui.html) - README.md: Frontend deployment guide - Total size: ~113 KB (self-contained) - Smart base path detection (works at / or /ai_qc/) - No configuration changes required Backend Directory (backend/): - All Python files (api_server.py, llm_config.py, etc.) - visual_qc_apps/: 33 QC check modules - profiles/: 6 QC profile configurations - brand_guidelines/: Reference asset storage - config/: Environment configurations - scripts/: Deployment automation - uploads/, output/: Data directories - requirements.txt, ai_qc.service, apache_config.conf - Complete documentation New Documentation: - FOLDER_STRUCTURE.md: Comprehensive guide to new structure - frontend/README.md: Frontend deployment instructions - backend/BACKEND_README.md: Backend deployment guide Deployment Mapping: - frontend/ → /var/www/html/ai_qc/ (web root) - backend/ → /opt/ai_qc/ (application directory) Benefits: - Clear separation of concerns - Backend code not in web-accessible directory - Independent frontend/backend updates - Matches server's existing patterns (/opt/veo3, /opt/voice2text) - Industry-standard architecture - Easy to deploy and maintain Original files preserved in root directory for reference. Ready for production deployment following MIGRATION_GUIDE.md. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-11-06 11:55:53 +02:00

Author

SHA1

Message

Date

nickviljoen

b6f5f7471e

Tune background_contrast prompt: focus on actual visibility not colour similarity

The prompt was too aggressive about light products on light backgrounds,
causing professional product photography on white backgrounds to fail
(e.g. L'Oreal cream jar on white). Now evaluates whether the product
is actually VISIBLE and DISTINGUISHABLE (via shadows, edges, texture,
contrasting elements) rather than failing on theoretical colour match.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-07 19:13:49 +02:00

nickviljoen

a580d4bb0f

Revert L'Oreal profile to 3 checks and add hidden text detection

Reverted loreal_static from 2-check (visual_readability_contrast) to
3-check setup (language_consistency, text_readability, background_contrast)
to avoid score dilution. Updated text_readability and background_contrast
prompts from POS-focused to digital marketing, and added critical hidden/
invisible text detection (black-on-black, white-on-white scanning).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-30 12:28:57 +02:00

nickviljoen

3fec052c12

Create frontend and backend folder structure for deployment

Organized the application into separate frontend and backend directories for cleaner deployment and better separation of concerns.

Frontend Directory (frontend/):
- index.html: Single-page web interface (renamed from web_ui.html)
- README.md: Frontend deployment guide
- Total size: ~113 KB (self-contained)
- Smart base path detection (works at / or /ai_qc/)
- No configuration changes required

Backend Directory (backend/):
- All Python files (api_server.py, llm_config.py, etc.)
- visual_qc_apps/: 33 QC check modules
- profiles/: 6 QC profile configurations
- brand_guidelines/: Reference asset storage
- config/: Environment configurations
- scripts/: Deployment automation
- uploads/, output/: Data directories
- requirements.txt, ai_qc.service, apache_config.conf
- Complete documentation

New Documentation:
- FOLDER_STRUCTURE.md: Comprehensive guide to new structure
- frontend/README.md: Frontend deployment instructions
- backend/BACKEND_README.md: Backend deployment guide

Deployment Mapping:
- frontend/ → /var/www/html/ai_qc/ (web root)
- backend/ → /opt/ai_qc/ (application directory)

Benefits:
- Clear separation of concerns
- Backend code not in web-accessible directory
- Independent frontend/backend updates
- Matches server's existing patterns (/opt/veo3, /opt/voice2text)
- Industry-standard architecture
- Easy to deploy and maintain

Original files preserved in root directory for reference.
Ready for production deployment following MIGRATION_GUIDE.md.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

2025-11-06 11:55:53 +02:00

3 commits