| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 13 hours | feat(cnn_v3): gen_sample tool + 7 simple training samples | skal | |
| - pack_photo_sample.py: --target now required (no albedo fallback) - gen_sample: bash wrapper with positional args (input target output_dir) - input/photo7.jpg: copy of photo2 (second style target) - target_1: photo2_1_out→photo2_out, photo2_2_out→photo7_out - dataset/simple/sample_001..007: 7 packed photo/target pairs handoff(Gemini): training data ready; next step is train_cnn_v3.py run | |||
| 2026-03-05 | add training photos | skal | |
| 2026-02-27 | remove old files, add new training set | skal | |
| 2026-02-15 | feat(cnn): add CNN v3 directory structure with training data | skal | |
| Initialize CNN v3 subdirectory with training pipeline layout: - docs/, scripts/, shaders/, src/, tools/, weights/ for organization - training/input/ with sample images - training/target_1/, target_2/ for multi-style training - README.md documenting structure Training images tracked in repo for easy collaboration. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com> | |||
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index : demo.git | |
| Vide-coded 64k demo system |
| summaryrefslogtreecommitdiff |