diff options
| author | skal <pascal.massimino@gmail.com> | 2026-02-10 08:01:25 +0100 |
|---|---|---|
| committer | skal <pascal.massimino@gmail.com> | 2026-02-10 08:01:25 +0100 |
| commit | 47397444b30b0f461b1633297a68300179586fda (patch) | |
| tree | b84a59b6a6595b609fe71980e81b99cc1b180693 /src/gpu/effects/cnn_effect.h | |
| parent | c51c146da9590845b864cbba3a7317c5b5bed56a (diff) | |
feat: Add CNN post-processing effect with modular WGSL architecture
Implements multi-layer convolutional neural network shader for stylized
post-processing of 3D rendered scenes:
**Core Components:**
- CNNEffect: C++ effect class with single-layer rendering (expandable to multi-pass)
- Modular WGSL snippets: cnn_activation, cnn_conv3x3/5x5/7x7, cnn_weights_generated
- Placeholder identity-like weights for initial testing (to be replaced by trained weights)
**Architecture:**
- Flexible kernel sizes (3×3, 5×5, 7×7) via separate snippet files
- ShaderComposer integration (#include resolution)
- Residual connections (input + processed output)
- Supports parallel convolutions (design ready, single conv implemented)
**Size Impact:**
- ~3-4 KB shader code (snippets + main shader)
- ~2-4 KB weights (depends on network architecture when trained)
- Total: ~5-8 KB (acceptable for 64k demo)
**Testing:**
- CNNEffect added to test_demo_effects.cc
- 36/36 tests passing (100%)
**Next Steps:**
- Training script (scripts/train_cnn.py) to generate real weights
- Multi-layer rendering with ping-pong textures
- Weight quantization for size optimization
handoff(Claude): CNN effect foundation complete, ready for training integration
Diffstat (limited to 'src/gpu/effects/cnn_effect.h')
| -rw-r--r-- | src/gpu/effects/cnn_effect.h | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/src/gpu/effects/cnn_effect.h b/src/gpu/effects/cnn_effect.h new file mode 100644 index 0000000..9cc4935 --- /dev/null +++ b/src/gpu/effects/cnn_effect.h @@ -0,0 +1,29 @@ +// CNN post-processing effect header +// Multi-layer neural network stylization + +#pragma once +#include "gpu/effect.h" +#include "gpu/uniform_helper.h" + +struct CNNLayerParams { + int layer_index; + int use_residual; + float _pad[2]; +}; +static_assert(sizeof(CNNLayerParams) == 16); + +class CNNEffect : public PostProcessEffect { + public: + explicit CNNEffect(const GpuContext& ctx, int num_layers = 1); + + void init(MainSequence* demo) override; + void render(WGPURenderPassEncoder pass, float time, float beat, + float intensity, float aspect_ratio) override; + void update_bind_group(WGPUTextureView input_view) override; + + private: + int num_layers_; + WGPUTextureView input_view_; + UniformBuffer<CNNLayerParams> params_buffer_; + WGPUBindGroup bind_group_; +}; |
