diff options
| -rw-r--r-- | PROJECT_CONTEXT.md | 4 | ||||
| -rw-r--r-- | TODO.md | 12 |
2 files changed, 11 insertions, 5 deletions
diff --git a/PROJECT_CONTEXT.md b/PROJECT_CONTEXT.md index fb6f931..b889b2e 100644 --- a/PROJECT_CONTEXT.md +++ b/PROJECT_CONTEXT.md @@ -36,7 +36,7 @@ - **Audio:** Sample-accurate sync. Zero heap allocations per frame. Variable tempo. Comprehensive tests. - **Shaders:** Parameterized effects (UniformHelper, .seq syntax). Beat-synchronized animation support (`beat_time`, `beat_phase`). Modular WGSL composition. - **3D:** Hybrid SDF/rasterization with BVH. Binary scene loader. Blender pipeline. -- **Effects:** CNN post-processing foundation (3-layer architecture, modular snippets). CNNEffect validated in demo. +- **Effects:** CNN post-processing foundation (3-layer architecture, modular snippets). CNNEffect validated in demo. CNN v2 with parametric static features (7D input: RGBD + UV + sin encoding) ready for training. - **Tools:** CNN test tool (readback works, output incorrect - under investigation). Texture readback utility functional. Timeline editor (web-based, beat-aligned, audio playback). - **Build:** Asset dependency tracking. Size measurement. Hot-reload (debug-only). - **Testing:** **36/36 passing (100%)** @@ -57,7 +57,7 @@ See `TODO.md` for current priorities and active tasks. - `doc/CONTRIBUTING.md` - Development protocols **Technical Reference:** -- Core: `ASSET_SYSTEM.md`, `SEQUENCE.md`, `TRACKER.md`, `3D.md`, `CNN_EFFECT.md` +- Core: `ASSET_SYSTEM.md`, `SEQUENCE.md`, `TRACKER.md`, `3D.md`, `CNN_EFFECT.md`, `CNN_V2.md` - Formats: `SCENE_FORMAT.md`, `MASKING_SYSTEM.md` - Tools: `BUILD.md`, `WORKSPACE_SYSTEM.md`, `SIZE_MEASUREMENT.md`, `CNN_TEST_TOOL.md`, `tools/timeline_editor/README.md` @@ -24,7 +24,7 @@ Self-contained workspaces for parallel demo development. --- -## Priority 2: CNN v2 - Parametric Static Features (Task #85) [IN PROGRESS] +## Priority 2: CNN v2 - Parametric Static Features (Task #85) [READY FOR TRAINING] Enhanced CNN post-processing with multi-dimensional feature inputs. @@ -35,9 +35,15 @@ Enhanced CNN post-processing with multi-dimensional feature inputs. - ✅ Phase 2: C++ effect class (CNNv2Effect skeleton, multi-pass architecture) - ✅ Phase 3: Training pipeline (`train_cnn_v2.py`, `export_cnn_v2_shader.py`) - ✅ Phase 4: Validation tooling (`scripts/validate_cnn_v2.sh`) -- ⏳ Phase 5: Full implementation (bind groups, multi-pass execution, layer shaders) +- ✅ Phase 5: Render pipeline (compute passes, bind groups, texture management) -**Next:** Complete CNNv2Effect render pipeline, test with trained checkpoint +**Implementation complete:** +- Static features compute pass functional +- Multi-pass architecture ready +- Layer shader integration structure in place +- All tests passing (36/36) + +**Next:** Train model, generate layer shaders, integrate into demo **Key improvements over v1:** - 7D static feature input (vs 4D RGB) |