Reorder function params

Author: saddam213

TensorStack.Common/ModelParameters.cs

@@ -315,9 +315,9 @@ public void AddScalarInput(byte value)
         /// Adds the ImageTensor input.
         /// </summary>
         /// <param name="value">The value.</param>
-        /// <param name="normalization">The normalization.</param>
         /// <param name="channels">The channels.</param>
-        public void AddImageInput(ImageTensor value, Normalization normalization, int channels = 3)
+        /// <param name="normalization">The normalization.</param>
+        public void AddImageInput(ImageTensor value, int channels, Normalization normalization)
         {
             AddInput(value.GetChannels(channels), normalization);
         }

TensorStack.Extractors/Pipelines/BackgroundPipeline.cs

@@ -93,7 +93,7 @@ private async Task<ImageTensor> ExtractBackgroundInternalAsync(BackgroundMode ba
             var outputBuffer = metadata.Outputs[0].Value.Dimensions.Length == 4 ? outputShape : outputShape[1..];
             using (var modelParameters = new ModelParameters(metadata, cancellationToken))
             {
-                modelParameters.AddImageInput(inputTensor, _model.Normalization, _model.Channels);
+                modelParameters.AddImageInput(inputTensor, _model.Channels, _model.Normalization);
                 modelParameters.AddOutput(outputBuffer);
                 using (var results = await _model.RunInferenceAsync(modelParameters))
                 {

TensorStack.Extractors/Pipelines/ExtractorPipeline.cs

@@ -176,7 +176,7 @@ private async Task<ImageTensor> ExecuteExtractorAsync(ImageTensor imageInput, Ca
             var outputBuffer = metadata.Outputs[0].Value.Dimensions.Length == 4 ? outputShape : outputShape[1..];
             using (var modelParameters = new ModelParameters(metadata, cancellationToken))
             {
-                modelParameters.AddImageInput(inputTensor, _model.Normalization, _model.Channels);
+                modelParameters.AddImageInput(inputTensor, _model.Channels, _model.Normalization);
                 modelParameters.AddOutput(outputBuffer);
 
                 var results = _model.IsDynamicOutput

TensorStack.Upscaler/Pipelines/UpscalePipeline.cs

@@ -159,7 +159,7 @@ private async Task<ImageTensor> ExecuteUpscaleAsync(ImageTensor imageTensor, Can
 
             using (var modelParameters = new ModelParameters(metadata, cancellationToken))
             {
-                modelParameters.AddImageInput(imageTensor, _model.Normalization, _model.Channels);
+                modelParameters.AddImageInput(imageTensor, _model.Channels, _model.Normalization);
                 modelParameters.AddOutput([1, _model.Channels, imageTensor.Height * _model.ScaleFactor, imageTensor.Width * _model.ScaleFactor]);
                 using (var results = await _model.RunInferenceAsync(modelParameters))
                 {

TensorStack.Video/Pipelines/InterpolationPipeline.cs

@@ -156,8 +156,8 @@ private async Task<ImageTensor> RunInterpolationAsync(ImageTensor frameTensor, I
             using (var modelParameters = new ModelParameters(metadata, cancellationToken))
             {
                 // Inputs
-                modelParameters.AddImageInput(previousFrameTensor, _model.Normalization, _model.Channels);
-                modelParameters.AddImageInput(frameTensor, _model.Normalization, _model.Channels);
+                modelParameters.AddImageInput(previousFrameTensor, _model.Channels, _model.Normalization);
+                modelParameters.AddImageInput(frameTensor, _model.Channels, _model.Normalization);
                 modelParameters.AddScalarInput(timestep);
 
                 // Outputs