| |
| """#6 Diffusion-based augmentation for rare signs. |
| |
| Reference: DA-Fusion (Trabucco 2023); DiffuseMix (Islam 2024 CVPR); |
| Flux.1-dev (BFL 2024). |
| |
| Strategy for rare classes (<10 sample): |
| 1. Gerçek örneklerden ControlNet LoRA fine-tune |
| 2. "relief + clay texture" synthesis |
| 3. Expert review (quality control zorunlu) |
| """ |
| import json |
| from pathlib import Path |
|
|
| ROOT = Path("/arf/scratch/stakan/hitit-proje") |
|
|
| RECIPE = { |
| "name": "Diffusion augmentation — rare cuneiform sign synthesis", |
| "method": "ControlNet LoRA on Flux.1-dev or SD3", |
| "target": "Rare signs (class_sample_count < 10 in hitit_local)", |
| "strategy": [ |
| "1. Gerçek örneklerden sign-specific ControlNet LoRA eğit (3-5 sample yeter)", |
| "2. Conditioning: edge map + depth (MaiCuBeDa 3D render'dan)", |
| "3. Generate: relief + clay texture + lighting variation", |
| "4. Expert paleographer review (accept/reject loop)", |
| "5. Manifest'e synthetic=True flag" |
| ], |
| "expected_gain": "+0.2-0.5% (tail tier improvement)", |
| "caveats": [ |
| "Diffusion kolay hallucinate eder → yanlış stroke riski", |
| "Sadece in-distribution noise/lighting, yeni sign sentezi DEĞİL", |
| "Expert review zorunlu" |
| ], |
| "gpu_hours": 100, |
| "status": "recipe-only (implementation in diffusion_synthetic_runbook.md)" |
| } |
|
|
| def main(): |
| out = ROOT / "datasets/processed/diffusion_aug_recipe.json" |
| with open(out, 'w') as f: |
| json.dump(RECIPE, f, indent=2, ensure_ascii=False) |
| print(f"Diffusion aug recipe: {out}") |
|
|
| if __name__ == '__main__': |
| main() |
|
|
