Cherry Blossom Trees Session 2 + GREEN SCREEN Learning

Session 2 Work:
- Added cherry blossom tree PNG sprites (multiple attempts)
- Implemented random tree growth (0.3x - 0.7x scale)
- Increased scattered trees (15  50 across map)
- Wider tree distribution (10-90 range)

 Green Screen Experiments:
- Attempted AI-generated PNG with green screen (#00FF00)
- Implemented green chroma-key removal in PreloadScene
- Multiple iterations (normal  ultra  nuclear green removal)
- Conclusion: AI green screen unreliable, reverted to procedural

 Final Solution:
- Disabled PNG sprite rendering
- Using 100% procedural cherry blossom trees (pink triangles)
- Random growth scaling for variety
- 50+ trees scattered across entire map

 Documentation:
- Updated DNEVNIK.md with Session 2
- Added GREEN SCREEN RULE for future AI image generation
- Documented lessons learned

 Key Lessons:
- AI transparency/green screen NOT reliable
- Procedural graphics > problematic PNGs
- Hollywood uses green screen, but AI can't do it consistently
- Always have fallback plan!

Session: 1h (22:30-23:20)
Date: 14.12.2024
This commit is contained in:
2025-12-14 23:21:36 +01:00
parent a4d2d137ec
commit c5d6c01305
6 changed files with 117 additions and 14 deletions

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