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-rw-r--r--doc/HOWTO.md10
1 files changed, 5 insertions, 5 deletions
diff --git a/doc/HOWTO.md b/doc/HOWTO.md
index a309b27..59ab6fd 100644
--- a/doc/HOWTO.md
+++ b/doc/HOWTO.md
@@ -100,7 +100,7 @@ make run_util_tests # Utility tests
Extracts patches at salient points, trains on center pixels only (matches WGSL sliding window):
```bash
# Train with 32×32 patches at detected corners/edges
-./training/train_cnn.py \
+./cnn_v1/training/train_cnn.py \
--input training/input/ --target training/output/ \
--patch-size 32 --patches-per-image 64 --detector harris \
--layers 3 --kernel_sizes 3,5,3 --epochs 5000 --batch_size 16 \
@@ -117,7 +117,7 @@ Extracts patches at salient points, trains on center pixels only (matches WGSL s
### Full-Image
Processes entire image with sliding window (matches WGSL):
```bash
-./training/train_cnn.py \
+./cnn_v1/training/train_cnn.py \
--input training/input/ --target training/output/ \
--layers 3 --kernel_sizes 3,5,3 --epochs 10000 --batch_size 8 \
--checkpoint-every 1000
@@ -126,10 +126,10 @@ Processes entire image with sliding window (matches WGSL):
### Export & Validation
```bash
# Generate shaders from checkpoint
-./training/train_cnn.py --export-only checkpoints/checkpoint_epoch_5000.pth
+./cnn_v1/training/train_cnn.py --export-only checkpoints/checkpoint_epoch_5000.pth
# Generate ground truth (sliding window, no tiling)
-./training/train_cnn.py --infer input.png \
+./cnn_v1/training/train_cnn.py --infer input.png \
--export-only checkpoints/checkpoint_epoch_5000.pth \
--output ground_truth.png
```
@@ -327,7 +327,7 @@ See `doc/ASSET_SYSTEM.md` and `doc/WORKSPACE_SYSTEM.md`.
**Note:** `--weights` loads layer count and kernel sizes from the binary file, overriding `--layers` and forcing CNN v2.
-See `doc/CNN_TEST_TOOL.md` for full documentation.
+See `cnn_v1/docs/CNN_TEST_TOOL.md` for full documentation.
---