### Install BootstrapBlazor.LlmsDocsGenerator from NuGet

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This bash command installs the tool from NuGet once it has been published. This is a simpler installation method if the tool is available on NuGet.

```bash
dotnet tool install --global BootstrapBlazor.LlmsDocsGenerator
```

--------------------------------

### Install BootstrapBlazor.LlmsDocsGenerator as Global Tool

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

These bash commands show how to pack the tool and install it as a global .NET tool. Ensure you are in the correct directory when running these commands.

```bash
dotnet pack tools/LlmsDocsGenerator
dotnet tool install --global --add-source ./tools/LlmsDocsGenerator/bin/Release BootstrapBlazor.LlmsDocsGenerator
```

--------------------------------

### LLM Documentation Reference Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This markdown example shows how library users can reference BootstrapBlazor documentation in their own projects by creating an `llms.txt` file. It includes links to the documentation index and specific components.

```markdown
# My Project

## Dependencies

### BootstrapBlazor
- Documentation Index: https://www.blazor.zone/llms/llms.txt
- Button: https://www.blazor.zone/llms/components/Button.txt
- Table: https://www.blazor.zone/llms/components/Table.txt
- Modal: https://www.blazor.zone/llms/components/Modal.txt
```

--------------------------------

### Install Bootstrap Blazor Project Template

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/README.md

Use this command to install the Bootstrap Blazor project template globally. This allows you to create new projects using the template.

```bash
dotnet new install Bootstrap.Blazor.Templates::*
```

--------------------------------

### Chart Component (Example)

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Basic example of using a chart component. Requires additional configuration for data and chart type.

```razor
<BChart Type="ChartType.Bar" Options="@options" Data="@data" />

@code {
    private BarChartOptions options;
    private BarChartData data;
}
```

--------------------------------

### Chart Options Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Example of options configuration for a bar chart. Customize title, axes, and legend.

```csharp
options = new BarChartOptions
{
    Title = new ChartTitle { Text = "Monthly Sales" },
    Responsive = true,
    Legend = new ChartLegend { Display = true }
};
```

--------------------------------

### Chart Data Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Example of data structure for a bar chart. Define labels and datasets.

```csharp
data = new BarChartData
{
    Labels = new string[] { "January", "February", "March" },
    Datasets = new List<IDataset>
    {
        new BarDataset
        {
            Label = "Sales",
            Data = new double[] { 10, 20, 30 }
        }
    }
};
```

--------------------------------

### Create New Project with Bootstrap Blazor Template

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/README.md

After installing the template, use this command to create a new Blazor application project with Bootstrap Blazor pre-configured.

```bash
dotnet new bbapp
```

--------------------------------

### Modal Dialog Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Illustrates the usage of a modal dialog. Trigger it with a button click.

```razor
<BButton OnClick="@(() => modal.Show())">Show Modal</BButton>
<BModal @ref="modal">
    <BodyTemplate>
        This is the modal content.
    </BodyTemplate>
    <FooterTemplate>
        <BButton Color="Color.Secondary" OnClick="@(() => modal.Hide())">Close</BButton>
    </FooterTemplate>
</BModal>

@code {
    private BModal modal;
}
```

--------------------------------

### Sample Model for Table

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

A sample data model used in the table example. Define properties for columns.

```csharp
public class SampleModel {
    public string Name { get; set; }
    public int Value { get; set; }
}
```

--------------------------------

### Wizard Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Guides users through a multi-step process with clear navigation between steps.

```razor
<BWizard>
    <WizardStep Title="Step 1">
        Content for step 1
    </WizardStep>
    <WizardStep Title="Step 2">
        Content for step 2
    </WizardStep>
</BWizard>
```

--------------------------------

### Basic Button Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Demonstrates a simple button component using BootstrapBlazor. Customize appearance with various color and size options.

```razor
<BButton Color="Color.Primary">Primary Button</BButton>
<BButton Color="Color.Success" Size="Size.Large">Large Success Button</BButton>
```

--------------------------------

### Pagination Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Example of implementing pagination for navigating through large datasets. Customize the number of items per page.

```razor
<BPagination TotalCount="100" PageItems="5" />
```

--------------------------------

### Add Bootstrap Blazor NuGet Package

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/README.md

Install the Bootstrap Blazor NuGet package into an existing project. This command should be run from the project's root directory.

```bash
dotnet add package BootstrapBlazor
```

--------------------------------

### Sample Model for Validation

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

A sample data model with validation attributes for form validation examples.

```csharp
public class MyModel {
    [Required]
    public string Name { get; set; }
}
```

--------------------------------

### Table with Data

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Example of displaying data in a table. Supports sorting, filtering, and pagination.

```razor
<BTable Items="@datas">
    <TableColumns>
        <PropertyColumn Property="@nameof(SampleModel.Name)" />
        <PropertyColumn Property="@nameof(SampleModel.Value)" />
    </TableColumns>
</BTable>

@code {
    private List<SampleModel> datas = new List<SampleModel>();

    protected override void OnInitialized() {
        datas.Add(new SampleModel { Name = "Item 1", Value = 10 });
        datas.Add(new SampleModel { Name = "Item 2", Value = 20 });
    }

    public class SampleModel {
        public string Name { get; set; }
        public int Value { get; set; }
    }
}
```

--------------------------------

### Pagination Component (Advanced)

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Advanced pagination example with custom total count and items per page.

```razor
<BPagination TotalCount="150" PageItems="10" />
```

--------------------------------

### Clone Bootstrap Blazor Repository

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.Core/readme.md

Clone the Bootstrap Blazor repository to your local machine to run the server-side example application.

```shell
git clone https://github.com/dotnetcore/BootstrapBlazor.git
cd BootstrapBlazor/src/BootstrapBlazor.Server
dotnet run
```

--------------------------------

### Checkbox Input Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

A checkbox input element.

```razor
<BCheckbox @bind-Value="isChecked" /> Check me
```

--------------------------------

### Form Validation with Blazor

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Provides an example of implementing form validation using Blazor and BootstrapBlazor components. Ensure that the `EditContext` and `ValidationSummary` are correctly configured for real-time feedback.

```csharp
<EditForm EditContext="editContext" OnValidSubmit="OnValidSubmit">
    <DataAnnotationsValidator />
    <ValidationSummary />
    <div class="form-group">
        <label>Name:</label>
        <InputText @bind-Value="Model.Name" />
        <ValidationMessage For="@(() => Model.Name)" />
    </div>
    <button type="submit" class="btn btn-primary">Submit</button>
</EditForm>

@code {
    private SampleModel Model { get; set; } = new SampleModel();
    private EditContext editContext;

    protected override void OnInitialized()
    {
        editContext = new EditContext(Model);
    }

    private async Task OnValidSubmit()
    {
        // Handle form submission
        await Task.CompletedTask;
    }

    public class SampleModel
    {
        [Required(ErrorMessage = "Name is required.")]
        public string Name { get; set; }
    }
}
```

--------------------------------

### Flatten Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Configuration for a flatten layer, specifying the axis from which to start flattening.

```protobuf
message Flatten {
  int32 axis = 1;
}
```

--------------------------------

### Radio Button Input Example

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

A radio button input element.

```razor
<BRadioButton Name="options" Value="1" @bind-Value="radioValue" /> Option 1
```

--------------------------------

### Update BootstrapBlazor.LlmsDocsGenerator Global Tool

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

Use this bash command to update the globally installed tool to the latest version available.

```bash
dotnet tool update --global BootstrapBlazor.LlmsDocsGenerator
```

--------------------------------

### Basic Bootstrap Blazor Component Usage

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/readme.md

Example of using the Display and Button components in a Blazor component. The button click updates a text variable.

```razor
<Display Value="@_text"></Display>
<Button Text="Button" OnClick="@ClickButton"></Button>

@code {
    private string? _text;
    private void ClickButton(MouseEventArgs e)
    {
        _text = DateTime.Now.ToString();
    }
}
```

--------------------------------

### Uninstall BootstrapBlazor.LlmsDocsGenerator Global Tool

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This bash command removes the globally installed tool from your system.

```bash
dotnet tool uninstall --global BootstrapBlazor.LlmsDocsGenerator
```

--------------------------------

### Alert Message Display

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Example of displaying alert messages with different severity levels (info, success, warning, danger).

```razor
<BAlert Color="Color.Info">This is an informational message.</BAlert>
<BAlert Color="Color.Success">Operation completed successfully.</BAlert>
```

--------------------------------

### Generate All Documentation

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

Run this command to generate documentation for all components. This is the default behavior when no specific component is provided.

```bash
llms-docs
```

--------------------------------

### Generate Documentation from Source

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

If running the tool directly from the source code, use this command instead of the global tool command.

```bash
dotnet run --project tools/LlmsDocsGenerator
```

--------------------------------

### Register Bootstrap Blazor Service in Startup.cs

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/README.md

Configure your application's services by adding the Bootstrap Blazor service. This is typically done in the ConfigureServices method of your Startup.cs file.

```csharp
namespace BootstrapBlazorAppName
{
    public class Startup
    {
        public void ConfigureServices(IServiceCollection services)
        {
            //more code may be present here
            services.AddBootstrapBlazor();
        }

        //more code may be present here
    }
}
```

--------------------------------

### Show Help Information

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This command displays the help message, listing all available options and commands for the `llms-docs` tool.

```bash
llms-docs --help
```

--------------------------------

### Generate Documentation for a Specific Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

Use the `--component` flag followed by the component name to generate documentation for a single component.

```bash
llms-docs --component Table
```

--------------------------------

### Dockerfile for Documentation Generation

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This Dockerfile snippet generates documentation during the container build process. It sets the working directory and executes the .NET run command.

```dockerfile
WORKDIR /tools/LlmsDocsGenerator
RUN dotnet run
```

--------------------------------

### Initialize and Configure SVG-edit

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.SVGEditor/wwwroot/editor/editor/xdomain-index.html

Instantiate the SVG-edit editor and set initial configuration options. Refer to `docs/tutorials/ConfigOptions.md` for available options.

```javascript
import Editor from './xdomain-Editor.js /* for available options see the file `docs/tutorials/ConfigOptions.md` */
const svgEditor = new Editor(document.getElementById('container'))
svgEditor.setConfig({
  allowInitialUserOverride: true,
  extensions: [],
  noDefaultExtensions: false,
  userExtensions: [/* { pathName: '/packages/react-test/dist/react-test.js' } */]
})
svgEditor.init()
```

--------------------------------

### Generate LLM Documentation with Docker

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This YAML snippet defines a Docker workflow step to generate LLM documentation by running a .NET project. Ensure the project path is correct.

```yaml
- name: Generate LLM Documentation
  run: dotnet run --project tools/LlmsDocsGenerator
```

--------------------------------

### Initialize and Configure SVG Editor

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.SVGEditor/wwwroot/editor/editor/iife-index.html

Initializes the SVG editor with basic configuration. For available options, refer to the ConfigOptions.md tutorial.

```javascript
const svgEditor = new Editor(document.getElementById('container'))
svgEditor.setConfig({
  allowInitialUserOverride: true,
  extensions: [],
  noDefaultExtensions: false,
  userExtensions: [/* { pathName: '/packages/react-test/dist/react-test.js' } */]
})
svgEditor.init()
```

--------------------------------

### Specify Custom Output Directory

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

Use the `--output` flag to specify a different directory for the generated documentation files.

```bash
llms-docs --output ./docs
```

--------------------------------

### Register Bootstrap Blazor Services

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/readme.md

Register Bootstrap Blazor services in your Program.cs file using AddBootstrapBlazor().

```csharp
builder.Services.AddBootstrapBlazor();
```

--------------------------------

### Initialize and Configure SVG Editor

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.SVGEditor/wwwroot/editor/editor/index.html

Initializes the SVG editor and sets basic configuration options. Ensure the 'container' element exists in your HTML.

```javascript
import Editor from './Editor.js' /* for available options see the file `docs/tutorials/ConfigOptions.md` */
const svgEditor = new Editor(document.getElementById('container'))
svgEditor.setConfig({
  allowInitialUserOverride: true,
  extensions: [],
  noDefaultExtensions: false,
  userExtensions: [/* { pathName: '/packages/react-test/dist/react-test.js' } */]
})
svgEditor.init()
```

--------------------------------

### ReLU Activation Function

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Implements the Rectified Linear Unit (ReLU) activation function, commonly used in neural networks. No specific setup is required beyond including the relevant library.

```Python
stage3_4/conv1/relu
ReLU
```

--------------------------------

### Configure MainLayout.razor for Bootstrap Blazor

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/readme.md

Wrap your application's content with the BootstrapBlazorRoot component in MainLayout.razor.

```html
<BootstrapBlazorRoot>
    @Body
</BootstrapBlazorRoot>
```

--------------------------------

### CI/CD Build Workflow - Check LLM Documentation

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This YAML snippet shows how to integrate the documentation check into a GitHub Actions build workflow. It runs the documentation check on every push to the main branch.

```yaml
- name: Check LLM Documentation
  run: dotnet run --project tools/LlmsDocsGenerator -- --check
```

--------------------------------

### Input Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/pose_estimation/mpi/pose_deploy_linevec_faster_4_stages.prototxt.txt

Defines the input layer for the pose estimation model, specifying the input dimensions. The channel dimension is noted as being defined at runtime.

```protobuf
input: "image"
input_dim: 1
input_dim: 3
input_dim: 1 # This value will be defined at runtime
input_dim: 1 # This value will be defined at runtime
```

--------------------------------

### Include Bootstrap Blazor Stylesheets and JavaScript

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/README.md

Add the Bootstrap Blazor CSS and JavaScript bundles to your main HTML file. For server-side projects, this is typically Pages/_Host.cshtml. For WebAssembly projects, it's wwwroot/index.html.

```html
<!DOCTYPE html>
<html lang="en">
<head>
    . . .
    <link rel="stylesheet" href="_content/BootstrapBlazor/css/bootstrap.blazor.bundle.min.css">
</head>
<body>
    . . .
    <script src="_framework/blazor.server.js"></script>
    <script src="_content/BootstrapBlazor/js/bootstrap.blazor.bundle.min.js"></script>
</body>
</html>
```

--------------------------------

### Generate Index Only

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This command generates only the index file (`llms.txt`) without generating individual component documentation files.

```bash
llms-docs --index-only
```

--------------------------------

### Dropdown List with Search

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Demonstrates a dropdown list with integrated search functionality, allowing users to quickly find items in a long list. This is useful for improving user experience in selection scenarios.

```csharp
<DropdownList @bind-Value="Value" Items="Items" ShowSearch="true" />
```

--------------------------------

### PriorBox Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Configuration for a PriorBox layer, used in object detection models.

```protobuf
message PriorBox {
  repeated float min_sizes = 1;
  repeated float aspect_ratios = 2;
  float variance = 3;
  float offset = 4;
}
```

--------------------------------

### PriorBox Layer Parameters

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.prototxt.txt

Defines parameters for the PriorBox layer, which generates anchor boxes for object detection. It includes minimum and maximum box sizes, aspect ratios, variances, and step size.

```protobuf
prior_box_param {
  min_size: 300.0
  max_size: 400.0
  aspect_ratio: 2.0
  aspect_ratio: 0.5
  aspect_ratio: 3.0
  aspect_ratio: 0.3333333432674408
  flip: false
  clip: false
  variance: 0.10000000149011612
  variance: 0.10000000149011612
  variance: 0.20000000298023224
  variance: 0.20000000298023224
  step: 32.0
}
```

--------------------------------

### Dropdown Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Shows how to implement a dropdown menu. Use it for navigation or selecting options.

```razor
<BDropdown Text="Dropdown Button">
    <BDropdownItem>Item 1</BDropdownItem>
    <BDropdownItem>Item 2</BDropdownItem>
</BDropdown>
```

--------------------------------

### Steps Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Visualizes a multi-step process. Allows users to track their progress through a series of steps.

```razor
<BSteps>
    <StepItem Title="Step 1" IsActive="true" />
    <StepItem Title="Step 2" />
    <StepItem Title="Step 3" />
</BSteps>
```

--------------------------------

### Wizard Step 1 Definition

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Defines the first step of a wizard component.

```razor
<WizardStep Title="Step 1">
    Content for step 1
</WizardStep>
```

--------------------------------

### Convolutional Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/obj_detection/mobilenet_iter_deploy.prototxt.txt

Defines a convolutional layer with specified input/output, kernel size, and weight initialization.

```protobuf
layer {
  name: "conv3/dw"
  type: "Convolution"
  bottom: "conv2"
  top: "conv3/dw"
  param {
    lr_mult: 0.1
    decay_mult: 0.1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 128
    #engine: CAFFE
    weight_filler {
      type: "msra"
    }
  }
}
```

```protobuf
layer {
  name: "conv3"
  type: "Convolution"
  bottom: "conv3/dw"
  top: "conv3"
  param {
    lr_mult: 0.1
    decay_mult: 0.1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
```

```protobuf
layer {
  name: "conv4/dw"
  type: "Convolution"
  bottom: "conv3"
  top: "conv4/dw"
  param {
    lr_mult: 0.1
    decay_mult: 0.1
  }
  convolution_param {
    num_output: 128
    bias_term: false
    pad: 1
    kernel_size: 3
    stride: 2
    group: 128
    #engine: CAFFE
    weight_filler {
      type: "msra"
    }
  }
}
```

```protobuf
layer {
  name: "conv4"
  type: "Convolution"
  bottom: "conv4/dw"
  top: "conv4"
  param {
    lr_mult: 0.1
    decay_mult: 0.1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
```

```protobuf
layer {
  name: "conv5/dw"
  type: "Convolution"
  bottom: "conv4"
  top: "conv5/dw"
  param {
    lr_mult: 0.1
    decay_mult: 0.1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    pad: 1
    kernel_size: 3
    group: 256
    #engine: CAFFE
    weight_filler {
      type: "msra"
    }
  }
}
```

```protobuf
layer {
  name: "conv5"
  type: "Convolution"
  bottom: "conv5/dw"
  top: "conv5"
  param {
    lr_mult: 0.1
    decay_mult: 0.1
  }
  convolution_param {
    num_output: 256
    bias_term: false
    kernel_size: 1
    weight_filler {
      type: "msra"
    }
  }
}
```

--------------------------------

### Source Code Analysis with Roslyn

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/tools/BootstrapBlazor.LLMsDocsGenerator/README.md

This C# code snippet demonstrates how to use Roslyn to scan for [Parameter] attributes on properties and extract XML documentation comments.

```csharp
// Scans for [Parameter] attributes
var parameters = classDeclaration.DescendantNodes()
    .OfType<PropertyDeclarationSyntax>()
    .Where(p => HasAttribute(p, "Parameter"));
```

```csharp
// Extracts XML documentation comments
var summary = ExtractXmlSummary(property);
```

--------------------------------

### Wizard Step 2

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

The second step in a wizard component.

```razor
<StepItem Title="Step 2" />
```

--------------------------------

### Table Export to CSV

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Shows how to export table data to a CSV file using BootstrapBlazor extensions. This feature is helpful for users who need to download and analyze data offline.

```csharp
await table.ToCsvAsync("SampleModel.csv")
```

--------------------------------

### Add BootstrapBlazor CSS

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Include the BootstrapBlazor CSS file in your project to apply the necessary styles. This is typically done in the main layout file.

```html
<link href="_content/BootstrapBlazor/bootstrap.blazor.bundle.min.css" rel="stylesheet" />
```

--------------------------------

### Wizard Step 1

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

The first step in a wizard component, marked as active.

```razor
<StepItem Title="Step 1" IsActive="true" />
```

--------------------------------

### Convolutional Layer Parameters

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.prototxt.txt

Defines parameters for a convolutional layer, including output channels, bias term, padding, kernel size, stride, weight initialization, and dilation. This snippet shows configuration for a specific convolutional layer.

```protobuf
convolution_param {
  num_output: 24
  bias_term: true
  pad: 0
  kernel_size: 1
  group: 1
  stride: 1
  weight_filler {
    type: "msra"
  }
  dilation: 1
}
```

--------------------------------

### fc7_mbox_conf_perm

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/face/res10_300x300_ssd_iter_140000_fp16.caffemodel.txt

Configuration for permuting mbox data.

```APIDOC
## fc7_mbox_conf_perm

### Description
Manages mbox configuration permissions, allowing for permuting data.

### Method
N/A (Configuration)

### Endpoint
N/A (Configuration)

### Parameters
N/A

### Request Example
N/A

### Response
N/A
```

--------------------------------

### DetectionOutput Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/face/deploy.prototxt.txt

Configures the DetectionOutput layer, which performs non-maximum suppression and generates final bounding box detections. It requires location predictions, confidence scores, and prior boxes as input.

```protobuf
layer {
  name: "detection_out"
  type: "DetectionOutput"
  bottom: "mbox_loc"
  bottom: "mbox_conf_flatten"
  bottom: "mbox_priorbox"
  top: "detection_out"
  include {
    phase: TEST
  }
  detection_output_param {
    num_classes: 2
    share_location: true
    background_label_id: 0
    nms_param {
      nms_threshold: 0.3
      top_k: 400
    }
    code_type: CENTER_SIZE
    keep_top_k: 200
    confidence_threshold: 0.01
  }
}
```

--------------------------------

### File Upload Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Illustrates the use of the BootstrapBlazor file upload component. This component facilitates easy file uploads with progress indication and file management.

```csharp
<File long="true" @bind-Value="files" />
```

--------------------------------

### OpenPose BODY_25 Model Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/pose_estimation/body25/pose_deploy.prototxt.txt

This is the prototxt definition for the OpenPose BODY_25 pose estimation model. It specifies the network architecture, including input dimensions and layer configurations.

```protobuf
name: "OpenPose - BODY_25"
input: "image"
input_dim: 1 # This value will be defined at runtime
input_dim: 3
input_dim: 16 # This value will be defined at runtime
input_dim: 16 # This value will be defined at runtime
layer {
  name: "conv1_1"
  type: "Convolution"
  bottom: "image"
  top: "conv1_1"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu1_1"
  type: "ReLU"
  bottom: "conv1_1"
  top: "conv1_1"
}
layer {
  name: "conv1_2"
  type: "Convolution"
  bottom: "conv1_1"
  top: "conv1_2"
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu1_2"
  type: "ReLU"
  bottom: "conv1_2"
  top: "conv1_2"
}
layer {
  name: "pool1_stage1"
  type: "Pooling"
  bottom: "conv1_2"
  top: "pool1_stage1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_1"
  type: "Convolution"
  bottom: "pool1_stage1"
  top: "conv2_1"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu2_1"
  type: "ReLU"
  bottom: "conv2_1"
  top: "conv2_1"
}
layer {
  name: "conv2_2"
  type: "Convolution"
  bottom: "conv2_1"
  top: "conv2_2"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu2_2"
  type: "ReLU"
  bottom: "conv2_2"
  top: "conv2_2"
}
layer {
  name: "pool2_stage1"
  type: "Pooling"
  bottom: "conv2_2"
  top: "pool2_stage1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv3_1"
  type: "Convolution"
  bottom: "pool2_stage1"
  top: "conv3_1"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_1"
  type: "ReLU"
  bottom: "conv3_1"
  top: "conv3_1"
}
layer {
  name: "conv3_2"
  type: "Convolution"
  bottom: "conv3_1"
  top: "conv3_2"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_2"
  type: "ReLU"
  bottom: "conv3_2"
  top: "conv3_2"
}
layer {
  name: "conv3_3"
  type: "Convolution"
  bottom: "conv3_2"
  top: "conv3_3"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_3"
  type: "ReLU"
  bottom: "conv3_3"
  top: "conv3_3"
}
layer {
  name: "conv3_4"
  type: "Convolution"
  bottom: "conv3_3"
  top: "conv3_4"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu3_4"
  type: "ReLU"
  bottom: "conv3_4"
  top: "conv3_4"
}
layer {
  name: "pool3_stage1"
  type: "Pooling"
  bottom: "conv3_4"
  top: "pool3_stage1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv4_1"
  type: "Convolution"
  bottom: "pool3_stage1"
  top: "conv4_1"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "relu4_1"
  type: "ReLU"
  bottom: "conv4_1"
  top: "conv4_1"
}
layer {
  name: "conv4_2"
  type: "Convolution"
  bottom: "conv4_1"
  top: "conv4_2"
  convolution_param {
    num_output: 512
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "prelu4_2"
  type: "PReLU"
  bottom: "conv4_2"
  top: "conv4_2"
}
layer {
  name: "conv4_3_CPM"
  type: "Convolution"
  bottom: "conv4_2"
  top: "conv4_3_CPM"
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "prelu4_3_CPM"
  type: "PReLU"
  bottom: "conv4_3_CPM"
  top: "conv4_3_CPM"
}
layer {
  name: "conv4_4_CPM"
  type: "Convolution"
  bottom: "conv4_3_CPM"
  top: "conv4_4_CPM"
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "prelu4_4_CPM"
  type: "PReLU"
  bottom: "conv4_4_CPM"
  top: "conv4_4_CPM"
}
layer {
  name: "Mconv1_stage0_L2_0"
  type: "Convolution"
  bottom: "conv4_4_CPM"
  top: "Mconv1_stage0_L2_0"
  convolution_param {
    num_output: 96
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "Mprelu1_stage0_L2_0"
  type: "PReLU"
  bottom: "Mconv1_stage0_L2_0"
  top: "Mconv1_stage0_L2_0"
}
layer {
  name: "Mconv1_stage0_L2_1"
  type: "Convolution"
  bottom: "Mconv1_stage0_L2_0"
  top: "Mconv1_stage0_L2_1"
  convolution_param {
    num_output: 96
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "Mprelu1_stage0_L2_1"
  type: "PReLU"
  bottom: "Mconv1_stage0_L2_1"
  top: "Mconv1_stage0_L2_1"
}
layer {
  name: "Mconv1_stage0_L2_2"
  type: "Convolution"
  bottom: "Mconv1_stage0_L2_1"
  top: "Mconv1_stage0_L2_2"
  convolution_param {
    num_output: 96
    pad: 1
    kernel_size: 3
  }
}
layer {
  name: "Mprelu1_stage0_L2_2"
  type: "PReLU"
  bottom: "Mconv1_stage0_L2_2"
  top: "Mconv1_stage0_L2_2"
}
layer {
  name: "Mconv1_stage0_L2_concat"
  type: "Concat"
  bottom: "Mconv1_stage0_L2_0"
  bottom: "Mconv1_stage0_L2_1"
  bottom: "Mconv1_stage0_L2_2"
  top: "Mconv1_stage0_L2_concat"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Mconv2_stage0_L2_0"
  type: "Convolution"
  bottom: "Mconv1_stage0_L2_concat"
  top: "Mconv2_stage0_L2_0"
  convolution_param {
    num_output: 96
    pad: 1

```

--------------------------------

### Add Bootstrap Blazor to _Imports.razor

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/readme.md

Import the BootstrapBlazor.Components namespace into your _Imports.razor file to make components available.

```razor
@using BootstrapBlazor.Components
```

--------------------------------

### Progress Bar

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Illustrates how to use a progress bar to indicate task completion. Can be animated.

```razor
<BProgressBar Value="50" Max="100" />
<BProgressBar Value="75" IsIndeterminate="true" />
```

--------------------------------

### Table Column Visibility Toggle

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Demonstrates how to allow users to toggle the visibility of table columns. This enhances usability by letting users focus on relevant data.

```csharp
await table.ToggleColumn("Name")
```

--------------------------------

### PriorBox Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/face/res10_300x300_ssd_iter_140000_fp16.caffemodel.txt

Configures the PriorBox component, often used in computer vision models for generating anchor boxes.

```csharp
fc7_mbox_priorbox
```

--------------------------------

### Permute Operation

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Demonstrates the permute operation, likely used for data manipulation or reordering.

```protobuf
message Permute {
  repeated int32 loc1 = 1;
  repeated int32 permute = 2;
}
```

--------------------------------

### Convolution Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Configuration for a convolution layer, specifying input and output channels, kernel size, and stride.

```protobuf
message Convolution {
  int32 input_channels = 1;
  int32 output_channels = 2;
  int32 kernel_size = 3;
  int32 stride = 4;
}
```

--------------------------------

### Permute Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Configuration for a permute layer, defining the order of dimensions.

```protobuf
message Permute {
  repeated int32 order = 1;
}
```

--------------------------------

### Configure SVG-edit for XDomain Build

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.SVGEditor/wwwroot/editor/editor/xdomain-index.html

Apply specific configurations for the xdomain build, such as setting the canvas name and allowed origins. This configuration is applied within a try-catch block to handle cases where XDOMAIN might be undefined.

```javascript
// Variable XDOMAIN below is created by Rollup for the Xdomain build (see rollup.config.js)
/* globals XDOMAIN */
try {
  // try clause to avoid js to complain if XDOMAIN undefined
  if (XDOMAIN) {
    svgEditor.setConfig({
      canvasName: 'xdomain',
      // Namespace this
      allowedOrigins: ['*']
    })
    console.info('xdomain config activated')
  }
} catch (error) {
  /* empty fn */
}
```

--------------------------------

### Add BootstrapBlazor JavaScript

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Include the BootstrapBlazor JavaScript bundle for interactive components. This should be placed before the closing body tag.

```html
<script src="_content/BootstrapBlazor/bootstrap.blazor.bundle.min.js"></script>
```

--------------------------------

### DetectionOutput Layer Parameters

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.prototxt.txt

Defines parameters for the DetectionOutput layer, which performs non-maximum suppression and generates final bounding box detections. Key parameters include number of classes, NMS threshold, code type, and confidence threshold.

```protobuf
detection_output_param {
  num_classes: 2
  share_location: true
  background_label_id: 0
  nms_param {
    nms_threshold: 0.44999998807907104
    top_k: 100
  }
  code_type: CENTER_SIZE
  keep_top_k: 100
  confidence_threshold: 0.20000000298023224
}
```

--------------------------------

### Placeholder with Width

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

A placeholder component with a specified width of 50%.

```razor
<BPlaceholder IsLoading="true" Width="50%" />
```

--------------------------------

### Form Input Fields

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Demonstrates various input fields like text boxes, checkboxes, and radio buttons.

```razor
<BInputText @bind-Value="textValue" Placeholder="Enter text" />
<BCheckbox @bind-Value="isChecked" />
<BRadioList @bind-Value="radioValue" Items="@radioItems" />

@code {
    private string textValue;
    private bool isChecked;
    private List<SelectedItem> radioItems = new List<SelectedItem> {
        new SelectedItem("1", "Option 1"),
        new SelectedItem("2", "Option 2")
    };
    private string radioValue;
}
```

--------------------------------

### Date Picker Component

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/wxqrcode/detect.caffemodel.txt

Shows how to use the date picker for selecting dates. Supports various formatting options.

```razor
<BDatePicker @bind-Date="selectedDate" />

@code {
    private DateTime? selectedDate;
}
```

--------------------------------

### Configure SVG Editor for XDomain

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.SVGEditor/wwwroot/editor/editor/iife-index.html

Applies specific configurations for cross-domain usage if the XDOMAIN global variable is available. This includes setting a canvas name and allowed origins.

```javascript
try {
  if (XDOMAIN) {
    svgEditor.setConfig({
      canvasName: 'xdomain',
      allowedOrigins: ['*']
    })
    console.info('xdomain config activated')
  }
} catch (error) {
  /* empty fn */
}
```

--------------------------------

### MobilenetV2 expanded_conv_11 expand weights configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/semantic_segmentation/opt_deeplabv3_mnv2_513.pb.txt

Configuration for the weights of the expand layer in expanded_conv_11. This includes the value and dtype.

```protobuf
MobilenetV2/expanded_conv_11/expand/weightsConst*\nvalueB


`"B'<7vn</<wĻ<y>H8+6\tT<7RF;x<&޻s!:/}Ի4=`an:GXw<a<d<e;t{<?<8<;O4<: q</=<hG)׻\u0000u<-d;p;a\u0000<<i<Ђϼ=ļ$L;<.;Ql+JҶ8<.Q8ڭ:T65=߻tH\t~2={ͥ;CZ
>׬k;q<;<mv;һOyp<<l2lS=>=O3<r+=u;*<t[<A̲;Voʰ:SX#]=uoM<V\u0000\tNkϘ ;nݻPH<{UvS<F+k<$C<T^-<U<᠂=F\tEfX#|<ENa_N}W<.0c!c7<o;<_<ϴ:;9ڻ=o3.3;ٵ\n`<'<U=?w9r=rX;w;=3=p< <$D
```

--------------------------------

### Scale Layer Configuration

Source: https://github.com/bootstrapblazor/bootstrapblazor.extensions/blob/master/src/components/BootstrapBlazor.ImageHelper/wwwroot/models/obj_detection/mobilenet_iter_deploy.prototxt.txt

Applies a scale and bias transformation to the input feature maps.

```protobuf
layer {
  name: "conv3/dw/scale"
  type: "Scale"
  bottom: "conv3/dw"
  top: "conv3/dw"
  param {
    lr_mult: 0.1
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.2
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
```

```protobuf
layer {
  name: "conv3/scale"
  type: "Scale"
  bottom: "conv3"
  top: "conv3"
  param {
    lr_mult: 0.1
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.2
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
```

```protobuf
layer {
  name: "conv4/dw/scale"
  type: "Scale"
  bottom: "conv4/dw"
  top: "conv4/dw"
  param {
    lr_mult: 0.1
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.2
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
```

```protobuf
layer {
  name: "conv4/scale"
  type: "Scale"
  bottom: "conv4"
  top: "conv4"
  param {
    lr_mult: 0.1
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.2
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
```

```protobuf
layer {
  name: "conv5/dw/scale"
  type: "Scale"
  bottom: "conv5/dw"
  top: "conv5/dw"
  param {
    lr_mult: 0.1
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.2
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
```

```protobuf
layer {
  name: "conv5/scale"
  type: "Scale"
  bottom: "conv5"
  top: "conv5"
  param {
    lr_mult: 0.1
    decay_mult: 0.0
  }
  param {
    lr_mult: 0.2
    decay_mult: 0.0
  }
  scale_param {
    filler {
      value: 1
    }
    bias_term: true
    bias_filler {
      value: 0
    }
  }
}
```