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-rw-r--r--doc/CNN_EFFECT.md14
1 files changed, 8 insertions, 6 deletions
diff --git a/doc/CNN_EFFECT.md b/doc/CNN_EFFECT.md
index b7d157f..d51c187 100644
--- a/doc/CNN_EFFECT.md
+++ b/doc/CNN_EFFECT.md
@@ -38,7 +38,7 @@ fn cnn_conv3x3_7to4(
samp: sampler,
uv: vec2<f32>,
resolution: vec2<f32>,
- original: vec4<f32>, # Original RGBD [0,1]
+ original: vec4<f32>, # Original RGBD [-1,1]
weights: array<array<f32, 8>, 36> # 9 pos × 4 out × (7 weights + bias)
) -> vec4<f32>
@@ -53,12 +53,14 @@ fn cnn_conv3x3_7to1(
) -> f32
```
-**Input normalization (all to [-1,1]):**
-- RGBD: `(rgbd - 0.5) * 2`
-- UV coords: `(uv - 0.5) * 2`
-- Grayscale: `(0.2126*R + 0.7152*G + 0.0722*B - 0.5) * 2`
+**Input normalization:**
+- **fs_main** normalizes textures once: `(tex - 0.5) * 2` → [-1,1]
+- **Conv functions** normalize UV coords: `(uv - 0.5) * 2` → [-1,1]
+- **Grayscale** computed from normalized RGBD: `0.2126*R + 0.7152*G + 0.0722*B`
+- **Inter-layer data** stays in [-1,1] (no denormalization)
+- **Final output** denormalized for display: `(result + 1.0) * 0.5` → [0,1]
-**Activation:** tanh for inner layers, none for final layer
+**Activation:** tanh for inner layers (output stays [-1,1]), none for final layer
### Multi-Layer Architecture