2 files changed, 2 insertions, 56 deletions
diff --git a/workspaces/main/shaders/cnn/cnn_conv3x3.wgsl b/workspaces/main/shaders/cnn/cnn_conv3x3.wgsl
index ebb87b5..96ddf5b 100644
--- a/workspaces/main/shaders/cnn/cnn_conv3x3.wgsl
+++ b/workspaces/main/shaders/cnn/cnn_conv3x3.wgsl
@@ -144,5 +144,5 @@ fn cnn_conv3x3_7to1(
     }
   }
 
-  return sum;  // Output in [-1,1], needs denormalization
+  return sum;  // Output in [-1,1]
 }
diff --git a/workspaces/main/shaders/cnn/cnn_conv5x5.wgsl b/workspaces/main/shaders/cnn/cnn_conv5x5.wgsl
index bfb4ebb..5136740 100644
--- a/workspaces/main/shaders/cnn/cnn_conv5x5.wgsl
+++ b/workspaces/main/shaders/cnn/cnn_conv5x5.wgsl
@@ -1,57 +1,3 @@
-// 5x5 convolution with 25 samples
-// Applies mat4 weights per sample
-
-fn cnn_conv5x5(
-  tex: texture_2d<f32>,
-  samp: sampler,
-  uv: vec2<f32>,
-  resolution: vec2<f32>,
-  weights: array<mat4x4<f32>, 25>,
-  bias: vec4<f32>
-) -> vec4<f32> {
-  let step = 1.0 / resolution;
-  var sum = bias;
-  var idx = 0;
-
-  for (var dy = -2; dy <= 2; dy++) {
-    for (var dx = -2; dx <= 2; dx++) {
-      let offset = vec2<f32>(f32(dx), f32(dy)) * step;
-      let sample = textureSample(tex, samp, uv + offset);
-      sum += weights[idx] * sample;
-      idx++;
-    }
-  }
-
-  return sum;
-}
-
-fn cnn_conv5x5_with_coord(
-  tex: texture_2d<f32>,
-  samp: sampler,
-  uv: vec2<f32>,
-  resolution: vec2<f32>,
-  rgba_weights: array<mat4x4<f32>, 25>,
-  coord_weights: mat2x4<f32>,
-  bias: vec4<f32>
-) -> vec4<f32> {
-  let step = 1.0 / resolution;
-  var sum = bias;
-
-  sum += coord_weights * uv;
-
-  var idx = 0;
-  for (var dy = -2; dy <= 2; dy++) {
-    for (var dx = -2; dx <= 2; dx++) {
-      let offset = vec2<f32>(f32(dx), f32(dy)) * step;
-      let rgba = textureSample(tex, samp, uv + offset);
-      sum += rgba_weights[idx] * rgba;
-      idx++;
-    }
-  }
-
-  return sum;
-}
-
 // 5×5 variant for 7→4 channels (RGBD output)
 // Assumes 'tex' and 'original' are already normalized to [-1,1]
 // UV coordinates remain in [0,1] and are normalized internally
@@ -135,5 +81,5 @@ fn cnn_conv5x5_7to1(
     }
   }
 
-  return sum;
+  return sum;  // Output in [-1,1]
 }