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diff --git a/doc/HOWTO.md b/doc/HOWTO.md index f89d375..2290aa8 100644 --- a/doc/HOWTO.md +++ b/doc/HOWTO.md @@ -136,18 +136,30 @@ Enhanced CNN with parametric static features (7D input: RGBD + UV + sin encoding **Complete Pipeline** (recommended): ```bash -# Train → Export → Build → Validate +# Train → Export → Build → Validate (default config) ./scripts/train_cnn_v2_full.sh -# With custom mip level for p0-p3 features -./scripts/train_cnn_v2_full.sh --mip-level 1 +# Custom training parameters +./scripts/train_cnn_v2_full.sh --epochs 500 --batch-size 32 --checkpoint-every 100 + +# Custom architecture +./scripts/train_cnn_v2_full.sh --kernel-sizes 3,5,3 --num-layers 3 --mip-level 1 + +# Custom directories +./scripts/train_cnn_v2_full.sh --input training/input --target training/target_2 + +# Full-image mode (instead of patch-based) +./scripts/train_cnn_v2_full.sh --full-image --image-size 256 + +# See all options +./scripts/train_cnn_v2_full.sh --help ``` -Config: 100 epochs, 3×3 kernels, 8→4→4 channels, patch-based (harris detector). +**Defaults:** 200 epochs, 3×3 kernels, 8→4→4 channels, batch-size 16, patch-based (8×8, harris detector). - Live progress with single-line update - Validates all input images on final epoch - Exports binary weights (storage buffer architecture) -- Mip level: 0 (default, original resolution) +- All parameters configurable via command-line **Validation Only** (skip training): ```bash |