feat(cnn): add CNN v3 directory structure with training dataHEADmain

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>

1 files changed, 36 insertions, 0 deletions

diff --git a/cnn_v3/README.md b/cnn_v3/README.md
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+# CNN v3
+
+Enhanced CNN post-processing with next-generation features.
+
+## Directory Structure
+
+```
+cnn_v3/
+├── docs/           # Documentation and design notes
+├── scripts/        # Training and build automation scripts
+├── shaders/        # WGSL compute shaders
+├── src/            # C++ implementation
+├── tools/          # Testing and validation tools
+├── training/       # Training pipeline
+│   ├── input/      # Source images for training
+│   ├── target_1/   # Style 1 target images
+│   └── target_2/   # Style 2 target images
+└── weights/        # Trained model weights (binary format)
+```
+
+## Training Data
+
+Training images are tracked in the repository:
+- `training/input/` - Original input images
+- `training/target_1/` - First style transformation targets
+- `training/target_2/` - Second style transformation targets
+
+Multiple target directories allow training different stylistic transformations from the same input set.
+
+Add images directly to these directories and commit them.
+
+## Status
+
+**TODO:** Define CNN v3 architecture and feature set.
+
+See `cnn_v2/` for reference implementation.