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| author | skal <pascal.massimino@gmail.com> | 2026-03-21 10:07:02 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-03-21 10:07:02 +0100 |
| commit | 1e8ccfc67c264ce054c59257ee7c17ec4a584a9e (patch) | |
| tree | 765c3e4392af87c86e9052c321c48a43fda0fac7 /third_party/glfw3webgpu | |
| parent | 5e740fc8f5f48fdd8ec4b84ae0c9a3c74e387d4f (diff) | |
feat(cnn_v3): Phase 6 — training script (train_cnn_v3.py + cnn_v3_utils.py)
- train_cnn_v3.py: CNNv3 U-Net+FiLM model, training loop, CLI
- cnn_v3_utils.py: image I/O, pyrdown, depth_gradient, assemble_features,
apply_channel_dropout, detect_salient_points, CNNv3Dataset
- Patch-based training (default 64×64) with salient-point extraction
(harris/shi-tomasi/fast/gradient/random detectors, pre-cached at init)
- Channel dropout for geometric/context/temporal channels
- Random FiLM conditioning per sample for joint MLP+U-Net training
- docs: HOWTO.md §3 updated with commands and flag reference
- TODO.md: Phase 6 marked done, export script noted as next step
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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