diff options
Diffstat (limited to 'cnn_v3')
| -rw-r--r-- | cnn_v3/README.md | 4 | ||||
| -rw-r--r-- | cnn_v3/docs/HOWTO.md | 12 |
2 files changed, 9 insertions, 7 deletions
diff --git a/cnn_v3/README.md b/cnn_v3/README.md index a844b1b..bd54e50 100644 --- a/cnn_v3/README.md +++ b/cnn_v3/README.md @@ -31,7 +31,7 @@ Add images directly to these directories and commit them. ## Status -**Phases 1–7 complete.** 36/36 tests pass. +**Phases 1–9 complete.** 38/38 tests pass. Training bugs fixed (2026-03-27). | Phase | Status | |-------|--------| @@ -42,6 +42,8 @@ Add images directly to these directories and commit them. | 5 — Parity validation | ✅ max_err=4.88e-4 | | 6 — Training script | ✅ train_cnn_v3.py | | 7 — Validation tools | ✅ GBufViewEffect + web sample loader | +| 8 — Architecture upgrade [8,16] | ✅ enc_channels=[8,16], 16ch split into lo/hi pairs | +| 9 — Training bug fixes | ✅ dec0 ReLU removed, FiLM MLP loaded from .bin | See `cnn_v3/docs/HOWTO.md` for the practical playbook (§9 covers validation tools). See `cnn_v3/docs/CNN_V3.md` for full design. diff --git a/cnn_v3/docs/HOWTO.md b/cnn_v3/docs/HOWTO.md index 67f7931..e8fd0a5 100644 --- a/cnn_v3/docs/HOWTO.md +++ b/cnn_v3/docs/HOWTO.md @@ -235,7 +235,7 @@ channel-dropout training. python3 cnn_v3/training/pack_photo_sample.py \ --photo input/photo1.jpg \ --target target/photo1_styled.png \ - --output dataset/photos/sample_001/ + --output dataset/simple/sample_001/ ``` `--target` is required and must be a stylized ground-truth image at the same @@ -245,9 +245,9 @@ resolution as the photo. The script writes it as `target.png` in the sample dir. ``` dataset/ - blender/ + full/ # Blender G-buffer samples (--input-mode full) sample_0001/ sample_0002/ ... - photos/ + simple/ # Photo/stylized pairs (--input-mode simple) sample_001/ sample_002/ ... ``` @@ -399,14 +399,14 @@ Test vectors generated by `cnn_v3/training/gen_test_vectors.py` (PyTorch referen | Phase | Status | Notes | |-------|--------|-------| -| 1 — G-buffer (raster + pack) | ✅ Done | Integrated, 36/36 tests pass | +| 1 — G-buffer (raster + pack) | ✅ Done | Integrated, 38/38 tests pass | | 1 — G-buffer (SDF shadow pass) | ✅ Done | `gbuf_shadow.wgsl`, proxy-box SDF | | 2 — Training infrastructure | ✅ Done | blender_export.py, pack_*_sample.py | | 3 — WGSL U-Net shaders | ✅ Done | 5 compute shaders + cnn_v3/common snippet | -| 4 — C++ CNNv3Effect | ✅ Done | FiLM uniform upload, 36/36 tests pass | +| 4 — C++ CNNv3Effect | ✅ Done | FiLM uniform upload, 38/38 tests pass | | 5 — Parity validation | ✅ Done | test_cnn_v3_parity.cc, max_err=4.88e-4 | | 6 — FiLM MLP training | ✅ Done | train_cnn_v3.py + cnn_v3_utils.py written | -| 7 — G-buffer visualizer (C++) | ✅ Done | GBufViewEffect, 36/36 tests pass | +| 7 — G-buffer visualizer (C++) | ✅ Done | GBufViewEffect, 38/38 tests pass | | 8 — Architecture upgrade [8,16] | ✅ Done | enc_channels=[8,16], multi-scale loss, 16ch textures split into lo/hi pairs | | 7 — Sample loader (web tool) | ✅ Done | "Load sample directory" in cnn_v3/tools/ | | 9 — Training bug fixes | ✅ Done | dec0 ReLU removed (output unblocked); FiLM MLP loaded at runtime | |