diff --git a/README.md b/README.md index 5dd2848..b992bb0 100644 --- a/README.md +++ b/README.md @@ -39,6 +39,12 @@ Perfect for: - **Developers testing and deploying** adding app identity for development or packaging for deployment - **CI/CD pipelines** automating Windows app builds +## โœ๏ธ Get started + +Checkout our getting started guides for step by step instructions: +- [Electron guide](/docs/electron-get-started.md): step by step guide of using Windows App SDK APIs in a new Electron application with a C# addon, debugging with identity, and MSIX packaging. +- [Packaging an EXE/CLI](/docs/guides/packaging-cli.md): step by step guide of packaging an existing exe/cli as MSIX + ## ๐Ÿ“ฆ Installation ### WinGet @@ -60,23 +66,9 @@ You can install the CLI for Electron projects via NPM: ### Download Release Manually -Or, download the latest build from GitHub Releases: - +Download the latest build from GitHub Releases: **[๐Ÿ‘‰ Download Latest Build](https://github.com/microsoft/WinAppCli/releases/latest)** -**Available Options:** - -| Package | Description | Use Case | -|---------|-------------|----------| -| **`winappcli_[version]_[platform].msix`** | ๐Ÿ“ฆ MSIX Installer | Easy to install, automatically added to path, great for general usage | -| **`winappcli-[version]-[platform].zip`** | ๐Ÿ“ฆ Standalone Binaries | Portable, no install needed - great for CI/CD | -| **`microsoft-winappcli-[version].tgz`** | ๐Ÿ“š NPM Package | For Node.js/Electron projects | - -## Get started - -Checkout our getting started guides for step by step instructions: -- [Electron guide](/docs/electron-get-started.md): step by step guide of using the Phi Silica APIs in a new Electron application with a C# addon, debugging with identity, and MSIX packaging. - ## ๐Ÿ“‹ Usage Once installed (see [Installation](#-installation) above), verify the installation by calling the CLI: @@ -123,6 +115,14 @@ npx winapp --help The full CLI usage can be found here: [Documentation](/docs/usage.md) + +## ๐Ÿงพ Samples + +This repository will continue to be added with samples. Currently the following samples exist: + +- [Electron sample](/samples/electron/README.md): a default Electron Forge generated application + initialized a winapp project with appxmanifest, assets + native addon + C# addon + generates cert +- [Electron WinML sample](/samples/electron-winml/README.md): a simple Electron application using Windows ML for classifying images + ## ๐Ÿ”ง Feedback - [File an issue, feature request or bug](https://github.com/microsoft/WinAppCli/issues): please ensure that you are not filing a duplicate issue @@ -134,12 +134,6 @@ We are actively working on improving Node and Python support. These features are This repository also contains an **experimental** app (GUI) that wraps the CLI and provides an intuitive, drag-and-drop experience. [See the docs](/docs/gui-usage.md) for more details. [Download the app here](https://github.com/microsoft/WinAppCli/releases/tag/v0.1.1-gui). -## ๐Ÿงพ Samples - -This repository will continue to be added with samples. Currently the following samples exist: - -- [Electron sample](/samples/electron/README.md): a default Electron Forge generated application + initialized a winapp project with appxmanifest, assets + native addon + C# addon + generates cert - ## Support Need help or have questions about the Windows App Development CLI? Visit our **[Support Guide](./SUPPORT.md)** for information about our issue templates and triage process. diff --git a/docs/electron-get-started.md b/docs/electron-get-started.md index 5800e29..37cff5c 100644 --- a/docs/electron-get-started.md +++ b/docs/electron-get-started.md @@ -6,463 +6,83 @@ This guide walks you through adding Windows-native capabilities to an Electron a By the end of this guide, you'll have an Electron app that: - โœ… Calls modern Windows APIs (Windows SDK and Windows App SDK) -- โœ… Uses a C# native addon with AI capabilities (Phi Silica) +- โœ… Uses a native addon with AI capabilities (Phi Silica or WinML) - โœ… Runs with app identity for testing protected APIs - โœ… Packages as a signed MSIX for distribution -## Prerequisites - -Before you begin, ensure you have: - -- **Copilot+ PC / Windows 11** -- **Node.js** - `winget install OpenJS.NodeJS` -- **.NET SDK v10** - `Microsoft.DotNet.SDK.10` -- **Visual Studio with the Native Desktop Workload** - `winget install --id Microsoft.VisualStudio.Community --source winget --override "--add Microsoft.VisualStudio.Workload.NativeDesktop --includeRecommended --passive --wait"` - -> [!NOTE] -> Phi Silica requires a Copilot+ PC to run and that is why it is a requirement for this guide. If you are not on a Copilot+ PC, you can still use this guide for any Windows API. - -## Step 1: Create a New Electron App - -We'll start with a fresh Electron app using Electron Forge, which provides excellent tooling and packaging support. If you are starting from an existing app, you can skip this step. - -```bash -npm create electron-app@latest my-windows-app -cd my-windows-app -``` - -This creates a new Electron app with the following structure: -``` -my-windows-app/ -โ”œโ”€โ”€ src/ -โ”‚ โ”œโ”€โ”€ index.js # Main process -โ”‚ โ”œโ”€โ”€ index.html # UI -โ”‚ โ””โ”€โ”€ preload.js # Preload script -โ”œโ”€โ”€ package.json -โ””โ”€โ”€ forge.config.js # Electron Forge configuration -``` - -Verify the app runs: - -```bash -npm start -``` - -You should see the default Electron Forge window. Close it and let's add Windows capabilities! - -## Step 2: Install WinAppCLI - -Download the latest npm package (.tgz) from the [WinAppCLI releases page](https://github.com/microsoft/WinAppCli/releases/latest) and install it manually: - -```bash -# Download the latest .tgz file from releases, then install it -npm install --save-dev ./path/to/microsoft-winappcli-[version].tgz -``` - -> **Note:** We are working to publish the package to npm. Once published, you'll be able to install it directly with `npm install --save-dev @microsoft/winappcli`. - -## Step 3: Initialize the project for Windows development - -Now we'll initialize your project with the Windows SDKs and required assets. - -```bash -npx winapp init -``` - -### What Does `winapp init` Do? - -This command sets up everything you need for Windows development: - -1. **Creates `.winapp/` folder** containing: - - Headers and libraries from the **Windows SDK** - - Headers and libraries from the **Windows App SDK** - - NuGet packages with the required binaries - -2. **Generates `appxmanifest.xml`** - The app manifest required for app identity and MSIX packaging - -3. **Creates `Assets/` folder** - Contains app icons and visual assets for your app - -4. **Generates `devcert.pfx`** - A development certificate for signing packages - -5. **Creates `winapp.yaml`** - Tracks SDK versions and project configuration - -6. **Installs Windows App SDK runtime** - Required runtime components for modern APIs - -7. **Enables Dev Mode in Windows** - Required for debuging our application - -The `.winapp/` folder and `devcert.pfx` are automatically added to `.gitignore` since they can be regenerated and should not be checked in to source. - -> **๐Ÿ’ก About the Windows SDKs:** -> -> - **[Windows SDK](https://developer.microsoft.com/windows/downloads/windows-sdk/)** - A development platform that lets you build Win32/desktop apps. It's designed around Windows APIs that are coupled to particular versions of the OS. Use this to access core Win32 APIs like file system, networking, and system services. -> -> - **[Windows App SDK](https://learn.microsoft.com/windows/apps/windows-app-sdk/)** - A new development platform that lets you build modern desktop apps that can be installed across Windows versions (down to Windows 10 1809). It provides a convenient, OS-decoupled abstraction around the rich catalogue of Windows OS APIs. The Windows App SDK includes WinUI 3 and provides access to modern features like AI capabilities (Phi Silica), notifications, window management, and more that receive regular updates independent of Windows OS releases. -> -> Learn more: [What's the difference between the Windows App SDK and the Windows SDK?](https://learn.microsoft.com/windows/apps/get-started/windows-developer-faq#what-s-the-difference-between-the-windows-app-sdk-and-the-windows-sdk) - -## Step 4: Add Restore to Your Build Pipeline - -To ensure the Windows SDKs are available when other developers clone your project or in CI/CD pipelines, add a `postinstall` script to your `package.json`: - -```json -{ - "scripts": { - "postinstall": "winapp restore && winapp cert generate --if-exists skip && winapp node add-electron-debug-identity" - } -} -``` - -This script automatically runs after `npm install` and does three things: - -1. **`winapp restore`** - Downloads and restores all Windows SDK packages to the `.winapp/` folder -2. **`winapp cert generate --if-exists skip`** - Generates a development certificate (if one doesn't exist) -3. **`winapp node add-electron-debug-identity`** - Registers your Electron app with debug identity (more on this below) - -Now whenever someone runs `npm install`, the Windows environment is automatically configured! - -
-๐Ÿ’ก Cross-Platform Development (click to expand) - -If you're building a cross-platform Electron app and have developers working on macOS or Linux, you'll want to conditionally run the Windows-specific setup. Here's the recommended approach: - -Create `scripts/postinstall.js`: -```javascript -if (process.platform === 'win32') { - const { execSync } = require('child_process'); - try { - execSync('npx winapp restore && npx winapp cert generate --if-exists skip && npx winapp node add-electron-debug-identity', { - stdio: 'inherit' - }); - } catch (error) { - console.warn('Warning: Windows-specific setup failed. If you are not developing Windows features, you can ignore this.'); - } -} else { - console.log('Skipping Windows-specific setup on non-Windows platform.'); -} -``` - -Then update `package.json`: -```json -{ - "scripts": { - "postinstall": "node scripts/postinstall.js" - } -} -``` - -This ensures Windows-specific setup only runs on Windows machines, allowing developers on other platforms to work on the project without errors. - -
- -## Step 5: Create a C# Native Addon - -Now for the exciting part - let's create a native addon that calls Windows APIs! We'll use a C# template that leverages [node-api-dotnet](https://github.com/microsoft/node-api-dotnet) to bridge JavaScript and C#. - -```bash -npx winapp node create-addon --template cs -``` - -This creates a `csAddon/` folder with: -- `addon.cs` - Your C# code that will call Windows APIs -- `csAddon.csproj` - Project file with references to Windows SDK and Windows App SDK -- `README.md` - Documentation on how to use the addon - -The command also adds a `build-csAddon` script to your `package.json` for building the addon: -```json -{ - "scripts": { - "build-csAddon": "dotnet publish ./csAddon/csAddon.csproj -c Release" - } -} -``` - -The template automatically includes references to both SDKs, so you can immediately start calling Windows APIs! - -Let's verify everything is set up correctly by building the addon: - -```bash -# Ensure SDKs are restored -npx winapp restore - -# Build the C# addon -npm run build-csAddon -``` - -> **Note:** You can also create a C++ addon using `npx winapp node create-addon` (without the `--template` flag). C++ addons use [node-addon-api](https://github.com/nodejs/node-addon-api) and provide direct access to Windows APIs with maximum performance. See the [full command documentation](usage.md#node-create-addon) for more options. - -## Step 6: Add AI Capabilities with Phi Silica - -Let's add a real Windows App SDK API - we'll use the **Phi Silica** AI model to summarize text directly on-device. Phi Silica is a small language model that runs locally on Windows 11 devices with NPUs (Neural Processing Units). +## The Process -Open `csAddon/addon.cs` and add this code: +Building a Windows-enabled Electron app involves three main phases: -```csharp -using System; -using System.Threading.Tasks; -using Microsoft.JavaScript.NodeApi; -using Microsoft.Windows.AI; -using Microsoft.Windows.AI.Text; +### 1. [Setting Up the Development Environment](guides/electron/setup.md) -namespace csAddon -{ - [JSExport] - public class Addon - { - /// - /// Summarizes the provided text using the Phi Silica AI model. - /// - /// The text to summarize - /// A summary of the input text - [JSExport] - public static async Task SummarizeText(string text) - { - try - { - var readyState = LanguageModel.GetReadyState(); - if (readyState is AIFeatureReadyState.Ready or AIFeatureReadyState.NotReady) - { - if (readyState == AIFeatureReadyState.NotReady) - { - await LanguageModel.EnsureReadyAsync(); - } +First, you'll set up your development environment with the necessary tools and SDKs. This includes: +- Creating or configuring an Electron app +- Installing WinAppCLI +- Initializing Windows SDKs and required assets +- Setting up your build pipeline - using LanguageModel languageModel = await LanguageModel.CreateAsync(); - TextSummarizer textSummarizer = new TextSummarizer(languageModel); +**Time:** ~10 minutes | **Difficulty:** Easy - var result = await textSummarizer.SummarizeParagraphAsync(text); +[Get Started with Setup โ†’](guides/electron/setup.md) - return result.Text; - } +### 2. Creating a Native Addon - return "Model is not available"; - } - catch (Exception ex) - { - return $"Error calling Phi Silica API: {ex.Message}"; - } - } - } -} -``` +Next, you'll create a native addon that calls Windows APIs. Choose one of the following guides: -> **๐Ÿ“ Note:** Phi Silica requires Windows 11 with an NPU-equipped device (Copilot+ PC). If you don't have compatible hardware, the API will return a message indicating the model is not available. You can still complete this tutorial and package the app - it will gracefully handle devices without NPU support. +#### Option A: [Creating a Phi Silica Addon](guides/electron/phi-silica-addon.md) +Learn how to create a C# addon that uses the Phi Silica AI model to summarize text on-device. Phi Silica is a small language model that runs locally on Windows 11 devices with NPUs. -## Step 7: Build the C# Addon +**Time:** ~20 minutes | **Difficulty:** Moderate | **Requirements:** Copilot+ PC -Now build the addon again: +[Create a Phi Silica Addon โ†’](guides/electron/phi-silica-addon.md) -```bash -npm run build-addon -``` +#### Option B: [Creating a WinML Addon](guides/electron/winml-addon.md) +Learn how to create an addon that uses Windows Machine Learning (WinML) to run custom ONNX models for image classification, object detection, and more. -This compiles your C# code using **Native AOT** (Ahead-of-Time compilation), which: -- Creates a `.node` binary (native addon format) -- Trims unused code for smaller bundle size -- Requires **no .NET runtime** on target machines -- Provides native performance +**Time:** ~20 minutes | **Difficulty:** Moderate | **Requirements:** Windows 11 -The compiled addon will be in `csAddon/bin/Release/net10.0/win-/publish/csAddon.node` . +[Create a WinML Addon โ†’](guides/electron/winml-addon.md) -## Step 8: Test the Windows API +### 3. [Packaging for Distribution](guides/electron/packaging.md) -Now let's verify the addon works by calling it from the main process. Open `src/index.js` and follow these steps: +Finally, you'll package your app as an MSIX for distribution. This includes: +- Building your app for production +- Creating and signing an MSIX package +- Testing the installed package +- Understanding distribution options -### 8.1. Load the C# Addon +**Time:** ~10 minutes | **Difficulty:** Easy -Add this with your other `require` statements at the top of the file: +[Package Your App โ†’](guides/electron/packaging.md) -```javascript -const csAddon = require('../csAddon/dist/csAddon.node'); -``` - -### 8.2. Create a Test Function - -Add this function somewhere in your file (after the require statements): - -```javascript -const callPhiSilica = async () => { - console.log('Summarizing with Phi Silica: ') - const result = await csAddon.Addon.summarizeText("The Windows App Development CLI is a powerful tool that bridges cross-platform development with Windows-native capabilities."); - console.log('Summary:', result); -}; -``` - -### 8.3. Call the Function - -Add this line at the end of the `createWindow()` function to test the API when the app starts: - -```javascript -callPhiSilica(); -``` - -When you run the app, the summary will be printed to the console. From here, you can integrate the addon into your app however you'd like - whether that's exposing it through a preload script to the renderer process, calling it from IPC handlers, or using it directly in the main process. - -## Step 9: Add Required Capability - -Before you can use the Phi Silica API, you need to declare the required capability in your app manifest. Open `appxmanifest.xml` and add the `systemAIModels` capability inside the `` section: - -```xml - - - - -``` - -> **๐Ÿ’ก Tip:** Different Windows APIs require different capabilities. Always check the API documentation to see what capabilities are needed. Common ones include `microphone`, `webcam`, `location`, and `bluetooth`. - -## Step 10: Update Debug Identity - -Whenever you modify `appxmanifest.xml` or change assets referenced in the manifest (like app icons), you need to update your app's debug identity. Run: - -```bash -npx winapp node add-electron-debug-identity -``` - -This command: -1. Reads your `appxmanifest.xml` to get app details and capabilities -2. Registers `electron.exe` in your `node_modules` with a temporary identity -3. Enables you to test identity-required APIs without full MSIX packaging - -> **๐Ÿ“ Note:** This command is already part of the `postinstall` script we added in Step 4, so it runs automatically after `npm install`. However, you need to run it manually whenever you: -> - Modify `appxmanifest.xml` (change capabilities, identity, or properties) -> - Update app assets (icons, logos, etc.) -> - Reinstall or update dependencies - -Now run your app: - -```bash -npm start -``` - -Check the console output - you should see the Phi Silica summary printed! - -
-โš ๏ธ Known Issue: App Crashes or Blank Window (click to expand) - -There is a known Windows bug with sparse packaging Electron applications which causes the app to crash on start or not render web content. The issue has been fixed in Windows but has not yet propagated to all devices. - -**Symptoms:** -- App crashes immediately after launch -- Window opens but shows blank/white screen -- Web content fails to render - -**Workaround:** - -The `--no-sandbox` flag in the start script above works around this issue by disabling Chromium's sandbox. This is safe for development purposes. - -```json -{ - "scripts": { - "start": "electron-forge start -- --no-sandbox" - } -} -``` - -**Important:** This issue does **not** affect full MSIX packaging - only debug identity during development. - -**To undo debug identity** (if needed for troubleshooting): Delete your `node_modules` folder and run `npm install` again. The `postinstall` script will reapply it when you're ready. - -
- -## Step 12: Package Your App for Distribution - -Now we're ready to create an MSIX package for distribution! - -> **๐Ÿ“ Note:** Before packaging, make sure to configure your build tool (Electron Forge, webpack, etc.) to exclude temporary files from the final build: -> - `.winapp/` folder -> - `winapp.yaml` -> - Certificate files (`.pfx`) -> - Debug symbols (`.pdb`) -> - C# build artifacts (`obj/`, `bin/` folders) -> -> Also ensure you include required assets like `appxmanifest.xml` and the `Assets/` folder. - -> **โš ๏ธ Important:** Verify that your `appxmanifest.xml` matches your packaged app structure: -> - The `Executable` attribute should point to the correct .exe file in your packaged output - - -### Build Your Electron App - -First, build your C# addon and package your Electron app: - -```bash -# Build the C# addon in Release mode -npm run build-csAddon - -# Package with Electron Forge (or your preferred packager) -npx electron-forge package -``` - -This will create a packaged version of your app in the `./out/` folder. The exact folder name will depend on your app name and architecture (e.g., `my-windows-app-win32-x64`). - -### Create the MSIX Package - -Now use WinAppCLI to create and sign an MSIX package from your packaged app: - -```bash -npx winapp pack ./out/ --output ./out --cert ./devcert.pfx --manifest appxmanifest.xml -``` - -Replace `` with the actual folder name created by Electron Forge (e.g., `my-windows-app-win32-x64` for x64 or `my-windows-app-win32-arm64` for ARM64). - -**What this command does:** -- `pack` - Creates an MSIX package from the specified directory -- `--output ./out` - Saves the MSIX file to the `./out` folder -- `--cert ./devcert.pfx` - Signs the package with your development certificate -- `--manifest appxmanifest.xml` - Copies the appxmanifest.xml and all referenced assets to the final folder for packaging - -The MSIX package will be created as `./out/.msix`. - -> **๐Ÿ’ก Tip:** You can add these commands to your `package.json` scripts for convenience: -> ```json -> { -> "scripts": { -> "package-msix": "npm run build-csAddon && npx electron-forge package && npx winapp pack ./out/my-windows-app-win32-x64 --output ./out --cert ./devcert.pfx --manifest appxmanifest.xml" -> } -> } -> ``` -> Just make sure to update the path to match your actual output folder name. - -### Install and Test the MSIX - -First, install the development certificate (one-time setup): - -```bash -# Run as Administrator: -npx winapp cert install .\devcert.pfx -``` - -Now install the MSIX package. Double click the msix file or run the following command: - -```bash -Add-AppxPackage .\out\my-windows-app.msix -``` - -Your app will appear in the Start Menu! Launch it and test the AI summarization feature. - -## Next Steps +## Prerequisites -Congratulations! You've successfully created a Windows app with Electron that calls native Windows APIs! ๐ŸŽ‰ +Before starting, ensure you have: -### Explore More Windows APIs +- **Windows 11** (Copilot+ PC if using Phi Silica) +- **Node.js** - `winget install OpenJS.NodeJS` +- **.NET SDK v10** - `Microsoft.DotNet.SDK.10` +- **Visual Studio with the Native Desktop Workload** - `winget install --id Microsoft.VisualStudio.Community --source winget --override "--add Microsoft.VisualStudio.Workload.NativeDesktop --includeRecommended --passive --wait"` -Now that you have the foundation, you can explore other Windows capabilities: +## Quick Navigation -- **[Notifications](https://learn.microsoft.com/windows/apps/design/shell/tiles-and-notifications/adaptive-interactive-toasts)** - Rich toast notifications with buttons and inputs -- **[File Pickers](https://learn.microsoft.com/windows/apps/develop/ui-input/file-pickers)** - Native file and folder selection dialogs -- **[Background Tasks](https://learn.microsoft.com/windows/uwp/launch-resume/support-your-app-with-background-tasks)** - Run code when your app is closed -- **[Windows Hello](https://learn.microsoft.com/windows/security/identity-protection/hello-for-business/)** - Biometric authentication -- **[Nearby Sharing](https://learn.microsoft.com/windows/apps/windows-app-sdk/api/winrt/microsoft.windows.applicationmodel.datatransfer.sharepicker)** - Share content with nearby devices +| Phase | Guide | What You'll Learn | +|-------|-------|-------------------| +| 1๏ธโƒฃ | [Setup](guides/electron/setup.md) | Install tools, initialize SDKs, configure build pipeline | +| 2๏ธโƒฃ | [Phi Silica Addon](guides/electron/phi-silica-addon.md) | Create C# addon, call AI APIs, test with debug identity | +| 2๏ธโƒฃ | [WinML Addon](guides/electron/winml-addon.md) | Create WinML addon, run ONNX models, integrate ML | +| 3๏ธโƒฃ | [Packaging](guides/electron/packaging.md) | Build production app, create MSIX, distribute | -### Additional Resources +## Additional Resources -- **[WinAppCLI Documentation](./usage.md)** - Full CLI reference +- **[WinAppCLI Documentation](usage.md)** - Full CLI reference - **[Sample Electron App](../samples/electron/)** - Complete working example - **[AI Dev Gallery](https://aka.ms/aidevgallery)** - Sample gallery of all AI APIs - **[Windows App SDK Samples](https://github.com/microsoft/WindowsAppSDK-Samples)** - Collection of Windows App SDK samples - **[node-api-dotnet](https://github.com/microsoft/node-api-dotnet)** - C# โ†” JavaScript interop library -### Get Help +## Get Help - **Found a bug?** [File an issue](https://github.com/microsoft/WinAppCli/issues) diff --git a/docs/guides/electron/packaging.md b/docs/guides/electron/packaging.md new file mode 100644 index 0000000..f8aeb67 --- /dev/null +++ b/docs/guides/electron/packaging.md @@ -0,0 +1,150 @@ +# Packaging Your Electron App for Distribution + +This guide shows you how to create an MSIX package for distributing your Electron app with Windows APIs. + +## Prerequisites + +Before packaging, make sure you've: +- Completed the [development environment setup](setup.md) +- [OPTIONAL] Created and tested your addon (e.g., [Phi Silica addon](phi-silica-addon.md) or [WinML addon](winml-addon.md)) +- Verified your app runs correctly with `npm start` + +## Prepare for Packaging + +> **๐Ÿ“ Note:** Before packaging, make sure to configure your build tool (Electron Forge, webpack, etc.) to exclude temporary files from the final build: +> - `.winapp/` folder +> - `winapp.yaml` +> - Certificate files (`.pfx`) +> - Debug symbols (`.pdb`) +> - C# build artifacts (`obj/`, `bin/` folders) +> - MSIX packages (*.msix) +> +> **โš ๏ธ Important:** Verify that your `appxmanifest.xml` matches your packaged app structure: +> - The `Executable` attribute should point to the correct .exe file in your packaged output + +## Build Your Electron App + +To package your Electron app with MSIX, we need to first create the production layout. With electron forge, we can use the package command: + +```bash +# Package with Electron Forge (or your preferred packager) +npx electron-forge package +``` + +This will create a production version of your app in the `./out/` folder. The exact folder name will depend on your app name and architecture (e.g., `my-windows-app-win32-x64`). + +## Create the MSIX Package + +Now use WinAppCLI to create and sign an MSIX package from your packaged app: + +```bash +npx winapp pack .\out\ --output .\out --cert .\devcert.pfx --manifest .\appxmanifest.xml +``` + +Replace `` with the actual folder name created by Electron Forge (e.g., `my-windows-app-win32-x64` for x64 or `my-windows-app-win32-arm64` for ARM64). + +The `--manifest` option is optional. If not provided, it will look for an appxmanifest.xml in the folder being packaged, or in the current directory. + +The `--cert` option is also optional. If not provided, the msix will not be signed. + +The `--out` option is also optional. If not provided, the current directory will be used. + +The MSIX package will be created as `./out/.msix`. + +> **๐Ÿ’ก Tip:** You can add these commands to your `package.json` scripts for convenience: +> ```json +> { +> "scripts": { +> "package-msix": "npm run build-csAddon && npx electron-forge package && npx winapp pack ./out/my-windows-app-win32-x64 --output ./out --cert ./devcert.pfx --manifest appxmanifest.xml" +> } +> } +> ``` +> Just make sure to update the path to match your actual output folder name. + +## Install and Test the MSIX + +First, install the development certificate (one-time setup): + +```bash +# Run as Administrator: +npx winapp cert install .\devcert.pfx +``` + +Now install the MSIX package. Double click the msix file or run the following command: + +```bash +Add-AppxPackage .\out\my-windows-app.msix +``` + +Your app will appear in the Start Menu! Launch it and test your Windows API features. + +## Distribution Options + +Once you have a working MSIX package, you have several options for distributing your app: + +### Direct Download +Host the MSIX package on your website for direct download. Ensure you sign it with a code signing certificate from a trusted certificate authority (CA) so users can install it without security warnings. + +### Microsoft Store +Submit your app to the Microsoft Store for the widest distribution and automatic updates. You'll need to: +1. Create a Microsoft Partner Center account +2. Reserve your app name +3. Update `appxmanifest.xml` with your Store identity. No need to sign the msix, the store publishing process will sign it automaticly. +5. Submit for certification + +Learn more: [Publish your app to the Microsoft Store](https://learn.microsoft.com/windows/apps/publish/) + +### Enterprise Distribution +Distribute directly to enterprise customers via: +- **Company Portal** - For organizations using Intune +- **Direct Download** - Host the MSIX on your website +- **Sideloading** - Install via PowerShell or App Installer + +Learn more: [Distribute apps outside the Store](https://learn.microsoft.com/windows/msix/desktop/managing-your-msix-deployment-overview) + +### App Installer +Create an `.appinstaller` file for automatic updates: + +```xml + + + + + + + +``` + +Learn more: [App Installer file overview](https://learn.microsoft.com/windows/msix/app-installer/app-installer-file-overview) + +## Next Steps + +Congratulations! You've successfully packaged your Windows-enabled Electron app for distribution! ๐ŸŽ‰ + +### Additional Resources + +- **[WinAppCLI Documentation](../../usage.md)** - Full CLI reference +- **[Sample Electron App](../../../samples/electron/)** - Complete working example +- **[MSIX Packaging Documentation](https://learn.microsoft.com/windows/msix/)** - Learn more about MSIX +- **[Windows App Certification Kit](https://learn.microsoft.com/windows/uwp/debug-test-perf/windows-app-certification-kit)** - Test your app before Store submission + +### Return to Overview + +- **[Getting Started Overview](../../electron-get-started.md)** - Return to the main guide +- **[Setting Up Development Environment](setup.md)** - Review setup steps +- **[Creating a Phi Silica Addon](phi-silica-addon.md)** - Review addon creation +- **[Creating a WinML Addon](winml-addon.md)** - Learn about WinML integration + +### Get Help + +- **Found a bug?** [File an issue](https://github.com/microsoft/WinAppCli/issues) + +Happy distributing! ๐Ÿš€ diff --git a/docs/guides/electron/phi-silica-addon.md b/docs/guides/electron/phi-silica-addon.md new file mode 100644 index 0000000..fecfe69 --- /dev/null +++ b/docs/guides/electron/phi-silica-addon.md @@ -0,0 +1,218 @@ +# Creating a Phi Silica Addon + +This guide shows you how to create a C# native addon that calls the Phi Silica AI API in your Electron app. Phi Silica is a small language model that runs locally on Windows 11 devices with NPUs (Neural Processing Units). + +## Prerequisites + +Before starting this guide, make sure you've: +- Completed the [development environment setup](setup.md) +- **Copilot+ PC** - Phi Silica requires a device with an NPU (Neural Processing Unit) + +> [!NOTE] +> If you are not on a Copilot+ PC, you can still follow this guide to learn the addon creation process. The code will gracefully handle devices without NPU support by returning a message indicating the model is not available. + +## Step 1: Create a C# Native Addon + +Now for the exciting part - let's create a native addon that calls Windows APIs! We'll use a C# template that leverages [node-api-dotnet](https://github.com/microsoft/node-api-dotnet) to bridge JavaScript and C#. + +```bash +npx winapp node create-addon --template cs +``` + +This creates a `csAddon/` folder with: +- `addon.cs` - Your C# code that will call Windows APIs +- `csAddon.csproj` - Project file with references to Windows SDK and Windows App SDK +- `README.md` - Documentation on how to use the addon + +The command also adds a `build-csAddon` script to your `package.json` for building the addon: +```json +{ + "scripts": { + "build-csAddon": "dotnet publish ./csAddon/csAddon.csproj -c Release" + } +} +``` + +The template automatically includes references to both SDKs, so you can immediately start calling Windows APIs! + +Let's verify everything is set up correctly by building the addon: + +```bash +# Build the C# addon +npm run build-csAddon +``` + +> **Note:** You can also create a C++ addon using `npx winapp node create-addon` (without the `--template` flag). C++ addons use [node-addon-api](https://github.com/nodejs/node-addon-api) and provide direct access to Windows APIs with maximum performance. See the [full command documentation](../../usage.md#node-create-addon) for more options. + +## Step 2: Add AI Capabilities with Phi Silica + +Let's add a real Windows App SDK API - we'll use the **Phi Silica** AI model to summarize text directly on-device. + +Open `csAddon/addon.cs` and add this code: + +```csharp +using System; +using System.Threading.Tasks; +using Microsoft.JavaScript.NodeApi; +using Microsoft.Windows.AI; +using Microsoft.Windows.AI.Text; + +namespace csAddon +{ + [JSExport] + public class Addon + { + /// + /// Summarizes the provided text using the Phi Silica AI model. + /// + /// The text to summarize + /// A summary of the input text + [JSExport] + public static async Task SummarizeText(string text) + { + try + { + var readyState = LanguageModel.GetReadyState(); + if (readyState is AIFeatureReadyState.Ready or AIFeatureReadyState.NotReady) + { + if (readyState == AIFeatureReadyState.NotReady) + { + await LanguageModel.EnsureReadyAsync(); + } + + using LanguageModel languageModel = await LanguageModel.CreateAsync(); + TextSummarizer textSummarizer = new TextSummarizer(languageModel); + + var result = await textSummarizer.SummarizeParagraphAsync(text); + + return result.Text; + } + + return "Model is not available"; + } + catch (Exception ex) + { + return $"Error calling Phi Silica API: {ex.Message}"; + } + } + } +} +``` + +> **๐Ÿ“ Note:** Phi Silica requires Windows 11 with an NPU-equipped device (Copilot+ PC). If you don't have compatible hardware, the API will return a message indicating the model is not available. You can still complete this tutorial and package the app - it will gracefully handle devices without NPU support. + +## Step 3: Build the C# Addon + +Now build the addon again: + +```bash +npm run build-addon +``` + +This compiles your C# code using **Native AOT** (Ahead-of-Time compilation), which: +- Creates a `.node` binary (native addon format) +- Trims unused code for smaller bundle size +- Requires **no .NET runtime** on target machines +- Provides native performance + +The compiled addon will be in `csAddon/bin/Release/net10.0/win-/publish/csAddon.node` . + +## Step 4: Test the Windows API + +Now let's verify the addon works by calling it from the main process. Open `src/index.js` and follow these steps: + +### 4.1. Load the C# Addon + +Add this with your other `require` statements at the top of the file: + +```javascript +const csAddon = require('../csAddon/dist/csAddon.node'); +``` + +### 4.2. Create a Test Function + +Add this function somewhere in your file (after the require statements): + +```javascript +const callPhiSilica = async () => { + console.log('Summarizing with Phi Silica: ') + const result = await csAddon.Addon.summarizeText("The Windows App Development CLI is a powerful tool that bridges cross-platform development with Windows-native capabilities."); + console.log('Summary:', result); +}; +``` + +### 4.3. Call the Function + +Add this line at the end of the `createWindow()` function to test the API when the app starts: + +```javascript +callPhiSilica(); +``` + +When you run the app, the summary will be printed to the console. From here, you can integrate the addon into your app however you'd like - whether that's exposing it through a preload script to the renderer process, calling it from IPC handlers, or using it directly in the main process. + +## Step 5: Add Required Capability + +Before you can use the Phi Silica API, you need to declare the required capability in your app manifest. Open `appxmanifest.xml` and add the `systemAIModels` capability inside the `` section: + +```xml + + + + +``` + +> **๐Ÿ’ก Tip:** Different Windows APIs require different capabilities. Always check the API documentation to see what capabilities are needed. Common ones include `microphone`, `webcam`, `location`, and `bluetooth`. + +## Step 6: Update Debug Identity + +Whenever you modify `appxmanifest.xml` or change assets referenced in the manifest (like app icons), you need to update your app's debug identity. Run: + +```bash +npx winapp node add-electron-debug-identity +``` + +This command: +1. Reads your `appxmanifest.xml` to get app details and capabilities +2. Registers `electron.exe` in your `node_modules` with a temporary identity +3. Enables you to test identity-required APIs without full MSIX packaging + +> **๐Ÿ“ Note:** This command is already part of the `postinstall` script we added in the setup guide, so it runs automatically after `npm install`. However, you need to run it manually whenever you: +> - Modify `appxmanifest.xml` (change capabilities, identity, or properties) +> - Update app assets (icons, logos, etc.) +> - Reinstall or update dependencies + +Now run your app: + +```bash +npm start +``` + +Check the console output - you should see the Phi Silica summary printed! + +
+โš ๏ธ Known Issue: App Crashes or Blank Window (click to expand) + +There is a known Windows bug with sparse packaging Electron applications which causes the app to crash on start or not render web content. The issue has been fixed in Windows but has not yet propagated to all devices. + +See [development environment setup](setup.md) for workaround. +
+ +## Next Steps + +Congratulations! You've successfully created a native addon that calls Windows AI APIs! ๐ŸŽ‰ + +Now you're ready to: +- **[Package Your App for Distribution](packaging.md)** - Create an MSIX package that you can distribute + +Or explore other guides: +- **[Creating a WinML Addon](winml-addon.md)** - Learn how to use Windows Machine Learning +- **[Getting Started Overview](../../electron-get-started.md)** - Return to the main guide + +### Additional Resources + +- **[WinAppCLI Documentation](../../usage.md)** - Full CLI reference +- **[Sample Electron App](../../../samples/electron/)** - Complete working example +- **[AI Dev Gallery](https://aka.ms/aidevgallery)** - Sample gallery of all AI APIs +- **[Windows App SDK Samples](https://github.com/microsoft/WindowsAppSDK-Samples)** - Collection of Windows App SDK samples +- **[node-api-dotnet](https://github.com/microsoft/node-api-dotnet)** - C# โ†” JavaScript interop library diff --git a/docs/guides/electron/setup.md b/docs/guides/electron/setup.md new file mode 100644 index 0000000..5e7aceb --- /dev/null +++ b/docs/guides/electron/setup.md @@ -0,0 +1,211 @@ +# Setting Up the Development Environment + +This guide walks you through setting up your Electron development environment for Windows API development. You'll install the necessary tools, initialize your project, and configure Windows SDKs. + +## Prerequisites + +Before you begin, ensure you have: + +- **Windows 11** +- **Node.js** - `winget install OpenJS.NodeJS` +- **.NET SDK v10** - `Microsoft.DotNet.SDK.10` +- **Visual Studio with the Native Desktop Workload** - `winget install --id Microsoft.VisualStudio.Community --source winget --override "--add Microsoft.VisualStudio.Workload.NativeDesktop --includeRecommended --passive --wait"` + +## Step 1: Create a New Electron App + +We'll start with a fresh Electron app using Electron Forge, which provides excellent tooling and packaging support. If you are starting from an existing app, you can skip this step. + +```bash +npm create electron-app@latest my-windows-app +cd my-windows-app +``` + +This creates a new Electron app with the following structure: +``` +my-windows-app/ +โ”œโ”€โ”€ src/ +โ”‚ โ”œโ”€โ”€ index.js # Main process +โ”‚ โ”œโ”€โ”€ index.html # UI +โ”‚ โ””โ”€โ”€ preload.js # Preload script +โ”œโ”€โ”€ package.json +โ””โ”€โ”€ forge.config.js # Electron Forge configuration +``` + +Verify the app runs: + +```bash +npm start +``` + +You should see the default Electron Forge window. Close it and let's add Windows capabilities! + +## Step 2: Install WinAppCLI + +```bash +npm install --save-dev @microsoft/winappcli +``` + +## Step 3: Initialize the project for Windows development + +Now we'll initialize your project with the Windows SDKs and required assets. + +```bash +npx winapp init +``` + +### What Does `winapp init` Do? + +This command sets up everything you need for Windows development: + +1. **Creates `.winapp/` folder** containing: + - Headers and libraries from the **Windows SDK** + - Headers and libraries from the **Windows App SDK** + - NuGet packages with the required binaries + +2. **Generates `appxmanifest.xml`** - The app manifest required for app identity and MSIX packaging + +3. **Creates `Assets/` folder** - Contains app icons and visual assets for your app + +4. **Generates `devcert.pfx`** - A development certificate for signing packages + +5. **Creates `winapp.yaml`** - Tracks SDK versions and project configuration + +6. **Installs Windows App SDK runtime** - Required runtime components for modern APIs + +7. **Enables Dev Mode in Windows** - Required for debuging our application + +The `.winapp/` folder and `devcert.pfx` are automatically added to `.gitignore` since they can be regenerated and should not be checked in to source. + +> **๐Ÿ’ก About the Windows SDKs:** +> +> - **[Windows SDK](https://developer.microsoft.com/windows/downloads/windows-sdk/)** - A development platform that lets you build Win32/desktop apps. It's designed around Windows APIs that are coupled to particular versions of the OS. Use this to access core Win32 APIs like file system, networking, and system services. +> +> - **[Windows App SDK](https://learn.microsoft.com/windows/apps/windows-app-sdk/)** - A new development platform that lets you build modern desktop apps that can be installed across Windows versions (down to Windows 10 1809). It provides a convenient, OS-decoupled abstraction around the rich catalogue of Windows OS APIs. The Windows App SDK includes WinUI 3 and provides access to modern features like AI capabilities (Phi Silica), notifications, window management, and more that receive regular updates independent of Windows OS releases. +> +> Learn more: [What's the difference between the Windows App SDK and the Windows SDK?](https://learn.microsoft.com/windows/apps/get-started/windows-developer-faq#what-s-the-difference-between-the-windows-app-sdk-and-the-windows-sdk) + +## Step 4: Add Restore to Your Build Pipeline + +To ensure the Windows SDKs are available when other developers clone your project or in CI/CD pipelines, add a `postinstall` script to your `package.json`: + +```json +{ + "scripts": { + "postinstall": "winapp restore && winapp cert generate --if-exists skip && winapp node add-electron-debug-identity" + } +} +``` + +This script automatically runs after `npm install` and does three things: + +1. **`winapp restore`** - Downloads and restores all Windows SDK packages to the `.winapp/` folder +2. **`winapp cert generate --if-exists skip`** - Generates a development certificate (if one doesn't exist) +3. **`winapp node add-electron-debug-identity`** - Registers your Electron app with debug identity (more on this in the next steps) + +Now whenever someone runs `npm install`, the Windows environment is automatically configured! + +
+๐Ÿ’ก Cross-Platform Development (click to expand) + +If you're building a cross-platform Electron app and have developers working on macOS or Linux, you'll want to conditionally run the Windows-specific setup. Here's the recommended approach: + +Create `scripts/postinstall.js`: +```javascript +if (process.platform === 'win32') { + const { execSync } = require('child_process'); + try { + execSync('npx winapp restore && npx winapp cert generate --if-exists skip && npx winapp node add-electron-debug-identity', { + stdio: 'inherit' + }); + } catch (error) { + console.warn('Warning: Windows-specific setup failed. If you are not developing Windows features, you can ignore this.'); + } +} else { + console.log('Skipping Windows-specific setup on non-Windows platform.'); +} +``` + +Then update `package.json`: +```json +{ + "scripts": { + "postinstall": "node scripts/postinstall.js" + } +} +``` + +This ensures Windows-specific setup only runs on Windows machines, allowing developers on other platforms to work on the project without errors. + +
+ +## Step 5: Understanding Debug Identity + +The `postinstall` script in Step 4 includes the `winapp node add-electron-debug-identity` command, which enables you to test Windows APIs that require app identity during development. + +### What Does Debug Identity Do? + +This command: +1. Reads your `appxmanifest.xml` to get app details and capabilities +2. Registers `electron.exe` in your `node_modules` with a temporary identity +3. Enables you to test identity-required APIs without creating a full MSIX package + +The debug identity is automatically applied when you run `npm install` thanks to the `postinstall` script. + +### When to Manually Update Debug Identity + +You need to run this command manually whenever you modify `appxmanifest.xml` (change capabilities, identity, or properties) or any of the linked assets (icons, mcp.json, etc) + +```bash +npx winapp node add-electron-debug-identity +``` + +### Testing Your Setup + +You can now test your Electron app with the debug identity applied: + +```bash +npm start +``` + +
+โš ๏ธ Known Issue: App Crashes or Blank Window (click to expand) + +There is a known Windows bug with sparse packaging Electron applications which causes the app to crash on start or not render web content. The issue has been fixed in Windows but has not yet propagated to all devices. + +**Symptoms:** +- App crashes immediately after launch +- Window opens but shows blank/white screen +- Web content fails to render + +**Workaround:** + +Add the `--no-sandbox` flag to your start script in `package.json`. This works around the issue by disabling Chromium's sandbox, which is safe for development purposes. + +```json +{ + "scripts": { + "start": "electron-forge start -- --no-sandbox" + } +} +``` + +**Important:** This issue does **not** affect full MSIX packaging - only debug identity during development. + +**To undo debug identity** (if needed for troubleshooting): +1. Navigate to `node_modules\electron\dist\` in your project +2. Delete `electron.exe` +3. Rename `electron.backup.exe` to `electron.exe` + +This restores the original Electron executable without the debug identity. + +
+ +## Next Steps + +Now that your development environment is set up, you're ready to create native addons and call Windows APIs: + +- **[Creating a Phi Silica Addon](phi-silica-addon.md)** - Learn how to create a C# addon that calls the Phi Silica AI API +- **[Creating a WinML Addon](winml-addon.md)** - Learn how to create a C# addon that uses Windows Machine Learning +- **[Packaging for Distribution](packaging.md)** - Create an MSIX package for distribution + +Or return to the **[Getting Started Overview](../../electron-get-started.md)**. diff --git a/docs/guides/electron/winml-addon.md b/docs/guides/electron/winml-addon.md new file mode 100644 index 0000000..3c8742d --- /dev/null +++ b/docs/guides/electron/winml-addon.md @@ -0,0 +1,395 @@ +# Creating a WinML Addon + +This guide shows you how to create a C# native addon that uses Windows Machine Learning (WinML) in your Electron app. WinML allows you to run machine learning models (ONNX format) locally on Windows devices for tasks like image classification, object detection, and more. + +## Prerequisites + +Before starting this guide, make sure you've: +- Completed the [development environment setup](setup.md) +- **Windows 11** or Windows 10 (version 1809 or later) + +> [!NOTE] +> WinML runs on any Windows 10 (1809+) or Windows 11 device. For best performance, devices with GPUs or NPUs are recommended, but the API works on CPU as well. + +## Step 1: Create a C# Native Addon + +Let's create a native addon that will use WinML APIs. We'll use a C# template that leverages [node-api-dotnet](https://github.com/microsoft/node-api-dotnet) to bridge JavaScript and C#. + +```bash +npx winapp node create-addon --template cs --name winMlAddon +``` + +This creates a `winMlAddon/` folder with: +- `addon.cs` - Your C# code that will call WinML APIs +- `winMlAddon.csproj` - Project file with references to Windows SDK and Windows App SDK +- `README.md` - Documentation on how to use the addon + +The command also adds a `build-winMlAddon` script to your `package.json` for building the addon: +```json +{ + "scripts": { + "build-winMlAddon": "dotnet publish ./winMlAddon/winMlAddon.csproj -c Release" + } +} +``` + +The template automatically includes references to both SDKs, so you can immediately start calling Windows APIs! + +Let's verify everything is set up correctly by building the addon: + +```bash +# Build the C# addon +npm run build-winMlAddon +``` + +> **Note:** You can also create a C++ addon using `npx winapp node create-addon` (without the `--template` flag). C++ addons use [node-addon-api](https://github.com/nodejs/node-addon-api) and provide direct access to Windows APIs with maximum performance. See the [full command documentation](../../usage.md#node-create-addon) for more options. + +## Step 2: Download the SqueezeNet Model and Get Sample Code + +We'll use the **Classify Image** sample from the [AI Dev Gallery](https://aka.ms/aidevgallery) as our reference. This sample uses the SqueezeNet 1.1 model for image classification. + +### 2.1. Download the Model + +1. Install the [AI Dev Gallery](https://aka.ms/aidevgallery) +2. Navigate to the **Classify Image** sample +3. Download the **SqueezeNet 1.1** model (it supports CPU, GPU, and NPU) +4. Click **Open Containing Folder** to locate the `.onnx` file + +![Downloading SqueezeNet from AI Dev Gallery](../../images/ai-dev-gallery-squeezenet.png) + +5. Copy the `squeezenet1.1.onnx` file to a `models/` folder in your project root + +## Step 3: Add Required NuGet Packages + +Before adding the WinML code, we need to add two additional NuGet packages that are required for image processing and ONNX Runtime extensions. + +### 3.1. Update Directory.packages.props + +Add the following package versions to the `Directory.packages.props` file in the root of your project (should have been created when you created the addon): + +```diff + + + + true + + + + + ++ ++ + + + + + + +``` + +### 3.2. Update winMlAddon.csproj + +Open `winMlAddon/winMlAddon.csproj` and add the package references to the ``: + +```diff + + + + ++ ++ + + + + +``` + +**What these packages do:** +- **Microsoft.ML.OnnxRuntime.Extensions** - Provides additional operators and utilities for ONNX Runtime +- **System.Drawing.Common** - Enables image loading and manipulation for preprocessing + +## Step 4: Add the Sample Code + +The AI Dev Gallery shows the complete implementation for image classification with SqueezeNet: + +![SqueezeNet Sample Code](../../images/ai-dev-gallery-squeezenet-code.png) + +We've adapted this code for Electron and you can find the complete implementation in the [electron-winml sample](../../../samples/electron-winml/). The `winMlAddon/` folder contains the modified code from the AI Dev Gallery. + +You can either: + +**Option A: Copy from the sample** +Copy the entire `winMlAddon/` folder from [samples/electron-winml/winMlAddon/](../../../samples/electron-winml/winMlAddon/) to your project root, replacing the one created in Step 1. + +**Option B: Manually update your addon** +Open `winMlAddon/addon.cs` and update it with the code from the sample. The complete source is available at [samples/electron-winml/winMlAddon/addon.cs](../../../samples/electron-winml/winMlAddon/addon.cs). + +### Key Implementation Details + +Let's highlight the important parts of the implementation and key differences from the AI Dev Gallery code: + +#### 1. Project Root Path Requirement + +Unlike the AI Dev Gallery code, our Electron addon requires the JavaScript code to pass the **project root path**. This is necessary because: +- The addon needs to locate the ONNX model file in the `models/` folder +- Native dependencies (DLLs) need to be loaded from specific directories + +```csharp +[JSExport] +public static async Task CreateAsync(string projectRoot) +{ + if (!Path.Exists(projectRoot)) + { + throw new Exception("Project root is invalid."); + } + + var addon = new Addon(projectRoot); + addon.PreloadNativeDependencies(); + + string modelPath = Path.Join(projectRoot, "models", @"squeezenet1.1-7.onnx"); + await addon.InitModel(modelPath, ExecutionProviderDevicePolicy.DEFAULT, null, false, null); + + return addon; +} +``` + +This automatically selects the best execution provider (CPU, GPU, or NPU) based on device capabilities. + +#### 2. Preloading Native Dependencies + +The addon includes a `PreloadNativeDependencies()` method to load required DLLs. This approach works for both **development and production** scenarios without needing to copy DLLs to the project root: + +```csharp +private void PreloadNativeDependencies() +{ + // Loads required DLLs from the winMlAddon build output + // This ensures dependencies are available regardless of the execution context +} +``` + +This is called during initialization before loading the model, ensuring all native libraries are available. + +#### 3. Configuring Electron Forge for Packaging + +To ensure the addon works correctly in production builds, you need to configure your packager to: +1. **Unpack native files** - DLLs, ONNX models, and .node files must be accessible outside the ASAR archive +2. **Exclude unnecessary files** - Keep the package size small by excluding build artifacts and temporary files + +For **Electron Forge**, update your `forge.config.js`: + +```javascript +// From samples/electron-winml/forge.config.js +module.exports = { + packagerConfig: { + asar: { + // Unpack native files so they can be accessed by the addon + unpack: "**/*.{dll,exe,node,onnx}" + }, + ignore: [ + // Exclude .winapp folder (SDK packages and headers) + /^\/.winapp\//, + // Exclude MSIX packages + "\\.msix$", + // Exclude winMlAddon source files, but keep the dist folder + /^\/winMlAddon\/(?!dist).+/ + ] + }, + // ... rest of your config +}; +``` + +**What this does:** + +1. **`asar.unpack`** - Extracts DLLs, executables, .node binaries, and ONNX models to `app.asar.unpacked/` + - This makes them accessible at runtime via file system paths + - The JavaScript code adjusts paths automatically (see the `app.asar` โ†’ `app.asar.unpacked` replacement above) + +2. **`ignore`** - Excludes from the final package: + - `.winapp/` - SDK packages and headers (not needed at runtime) + - `.msix` files - Packaged outputs + - `winMlAddon/` source files - Keeps only the `dist/` folder with compiled binaries + +> **๐Ÿ“ Note:** If you're using a different packaging tool (electron-builder, etc.), you'll need to configure similar settings for unpacking native dependencies and excluding development files. Check your packager's documentation for ASAR unpacking options. + +#### 4. Image Classification + +The `ClassifyImage` method processes an image and returns predictions: + +```csharp +[JSExport] +public async Task ClassifyImage(string imagePath) +{ + // Loads the image, preprocesses it, and runs inference + // Returns top predictions with labels and confidence scores +} +``` + +The complete implementation handles: +- Image loading and preprocessing (resizing, normalization) +- Running the model inference +- Post-processing results to get top predictions with labels and confidence scores + +> **๐Ÿ“ Note:** The full source code includes image preprocessing, tensor creation, and result parsing. Check the [sample implementation](../../../samples/electron-winml/winMlAddon/addon.cs) for all the details. + +### Understanding the Code + +The addon provides these main functions: + +1. **CreateAsync** - Initializes the addon and loads the SqueezeNet model +2. **ClassifyImage** - Takes an image path and returns classification predictions + +WinML automatically selects the best execution device (CPU, GPU, or NPU) based on availability. + +## Step 5: Build the C# Addon + +Now build the addon: + +```bash +npm run build-winMlAddon +``` + +This compiles your C# code using **Native AOT** (Ahead-of-Time compilation), which: +- Creates a `.node` binary (native addon format) +- Trims unused code for smaller bundle size +- Requires **no .NET runtime** on target machines +- Provides native performance + +The compiled addon will be in `winMlAddon/dist/winMlAddon.node`. + +## Step 6: Test the Addon + +Now let's test the addon works by calling it from the main process. Open `src/index.js` and follow these steps: + +### 6.1. Load the Addon + +Add the require statements at the top: + +```javascript +const winMlAddon = require('../winMlAddon/dist/winMlAddon.node'); +``` + +### 6.2. Create a Test Function + +Add this function to test image classification: + +```javascript +const testWinML = async () => { + console.log('Testing WinML addon...'); + + try { + let projectRoot = path.join(__dirname, '..'); + // Adjust path for packaged apps + if (projectRoot.includes('app.asar')) { + projectRoot = projectRoot.replace('app.asar', 'app.asar.unpacked'); + } + + const addon = await winMlAddon.Addon.createAsync(projectRoot); + console.log('Model loaded successfully!'); + + // Classify a sample image + const imagePath = path.join(projectRoot, 'test-images', 'sample.jpg'); + const predictions = await addon.classifyImage(imagePath); + + console.log('Top predictions:'); + predictions.slice(0, 5).forEach((pred, i) => { + console.log(`${i + 1}. ${pred.label}: ${(pred.confidence * 100).toFixed(2)}%`); + }); + } catch (error) { + console.error('Error testing WinML:', error.message); + } +}; +``` + +**Key points:** +- The path adjustment (`app.asar` โ†’ `app.asar.unpacked`) ensures the code works in both development and packaged apps +- This accesses the unpacked native files configured in `forge.config.js` + +### 6.3. Call the Test Function + +Add this line at the end of the `createWindow()` function: + +```javascript +testWinML(); +``` + +### 6.4. Prepare Test Images + +To test image classification: + +1. Create a `test-images/` folder in your project root +2. Add some test images (e.g., `sample.jpg`, `cat.jpg`, `dog.jpg`) +3. The SqueezeNet model recognizes 1000 different ImageNet classes + +When you run the app, you'll see the classification results in the console! + +> **๐Ÿ’ก Tip:** For a complete implementation with IPC handlers, file selection dialogs, and a UI, see the [electron-winml sample](../../../samples/electron-winml/src/index.js). + +## Step 7: Update Debug Identity + +To ensure the Windows App SDK is loaded and available for usage, we need to ensure we setup debug identity which will ensure the framework is loaded whenever our app runs. Likewise, whenever you modify `appxmanifest.xml` or change assets referenced in the manifest (like app icons), you need to update your app's debug identity. Run: + +```bash +npx winapp node add-electron-debug-identity +``` + +This command: +1. Reads your `appxmanifest.xml` to get app details and capabilities +2. Registers `electron.exe` in your `node_modules` with a temporary identity +3. Enables you to test identity-required APIs without full MSIX packaging + +> **๐Ÿ“ Note:** This command is already part of the `postinstall` script we added in the setup guide, so it runs automatically after `npm install`. However, you need to run it manually whenever you: +> - Modify `appxmanifest.xml` (change capabilities, identity, or properties) +> - Update app assets (icons, logos, etc.) + +Now run your app: + +```bash +npm start +``` + +Check the console output - you should see the WinML test results! + +
+โš ๏ธ Known Issue: App Crashes or Blank Window (click to expand) + +There is a known Windows bug with sparse packaging Electron applications which causes the app to crash on start or not render web content. The issue has been fixed in Windows but has not yet propagated to all devices. + +See [development environment setup](setup.md) for workaround. + +
+ +## Next Steps + +Congratulations! You've successfully created a native addon that can run machine learning models with WinML! ๐ŸŽ‰ + +Now you're ready to: +- **[Package Your App for Distribution](packaging.md)** - Create an MSIX package that you can distribute + +Or explore other guides: +- **[Creating a Phi Silica Addon](phi-silica-addon.md)** - Learn how to use the Phi Silica AI API +- **[Getting Started Overview](../../electron-get-started.md)** - Return to the main guide + +### Customizing for Your Model + +To fully integrate your ONNX model, you'll need to: + +1. **Understand your model's inputs** - Images, tensors, sequences, etc. +2. **Create proper input bindings** - Convert your data to the format WinML expects +3. **Process the outputs** - Parse and interpret the model's predictions +4. **Handle errors gracefully** - Model loading and inference can fail + +### Additional Resources + +- **[WinML Documentation](https://learn.microsoft.com/windows/ai/new-windows-ml/overview)** - Official WinML documentation +- **[WinAppCLI Documentation](../../usage.md)** - Full CLI reference +- **[Sample Electron App](../../../samples/electron/)** - Complete working example +- **[AI Dev Gallery](https://aka.ms/aidevgallery)** - Sample gallery of all AI APIs +- **[Windows App SDK Samples](https://github.com/microsoft/WindowsAppSDK-Samples/tree/main/Samples/WindowsML)** - Collection of Windows App SDK samples +- **[node-api-dotnet](https://github.com/microsoft/node-api-dotnet)** - C# โ†” JavaScript interop library + +### Get Help + +- **Found a bug?** [File an issue](https://github.com/microsoft/WinAppCli/issues) +- **WinML questions?** Check the [WinML documentation](https://learn.microsoft.com/windows/ai/windows-ml/) + +Happy machine learning! ๐Ÿค– diff --git a/docs/images/ai-dev-gallery-squeezenet-code.png b/docs/images/ai-dev-gallery-squeezenet-code.png new file mode 100644 index 0000000..5dcc764 Binary files /dev/null and b/docs/images/ai-dev-gallery-squeezenet-code.png differ diff --git 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+node_modules/ +jspm_packages/ + +# TypeScript v1 declaration files +typings/ + +# TypeScript cache +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Optional REPL history +.node_repl_history + +# Output of 'npm pack' +*.tgz + +# Yarn Integrity file +.yarn-integrity + +# dotenv environment variables file +.env +.env.test + +# parcel-bundler cache (https://parceljs.org/) +.cache + +# next.js build output +.next + +# nuxt.js build output +.nuxt + +# vuepress build output +.vuepress/dist + +# Serverless directories +.serverless/ + +# FuseBox cache +.fusebox/ + +# DynamoDB Local files +.dynamodb/ + +# Webpack +.webpack/ + +# Vite +.vite/ + +# Electron-Forge +out/ + +# Windows SDK packages and generated files +.winapp + +# Development certificate +devcert.pfx + +# C# build artifacts +bin/ +obj/ +*.user +*.suo + +*.onnx \ No newline at end of file diff --git a/samples/electron-winml/Assets/LockScreenLogo.png 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The app uses the SqueezeNet 1.1 model to classify images directly on the user's device. + +## What's Included + +- **Image Classification**: Uses SqueezeNet 1.1 ONNX model for real-time image classification +- **C# Native Addon**: A .NET 10 Native AOT addon that bridges JavaScript and WinML APIs +- **Hardware Acceleration**: Automatically uses CPU, GPU, or NPU based on device capabilities +- **Production Ready**: Includes MSIX packaging configuration and ASAR handling for distribution + +## Features + +- ๐Ÿ–ผ๏ธ **Classify Images**: Select any image and get top predictions with confidence scores +- โšก **Fast Performance**: Native AOT compilation with hardware acceleration +- ๐Ÿ“ฆ **MSIX Packaging**: Ready for distribution via Microsoft Store or direct download +- ๐ŸŽจ **Modern UI**: Simple, clean interface for testing image classification + +## Prerequisites + +- **Windows 11** or Windows 10 (version 1809+) +- **Node.js** - `winget install OpenJS.NodeJS` +- **.NET SDK v10** - `winget install Microsoft.DotNet.SDK.10` +- **Visual Studio with the Native Desktop Workload** - `winget install --id Microsoft.VisualStudio.Community --source winget --override "--add Microsoft.VisualStudio.Workload.NativeDesktop --includeRecommended --passive --wait"` + +## Getting Started + +### 1. Install Dependencies + +```bash +npm install +``` + +This automatically runs the `postinstall` script which: +- Restores Windows SDK packages to `.winapp/` +- Generates a development certificate +- Adds debug identity to Electron + +### 2. Download the Model + +1. Install the [AI Dev Gallery](https://aka.ms/aidevgallery) +2. Navigate to the **Classify Image** sample +3. Download the **SqueezeNet 1.1** model +4. Click **Open Containing Folder** to locate the `.onnx` file +5. Copy `squeezenet1.1-7.onnx` to the `models/` folder in this project + +### 3. Build the C# Addon + +```bash +npm run build-winMlAddon +``` + +This compiles the C# addon using Native AOT, creating a `.node` binary that requires no .NET runtime on target machines. + +### 4. Run the App + +```bash +npm start +``` + +> **Note:** If you encounter a blank window or crash, add `--no-sandbox` to the start script in `package.json` as a workaround for a known Windows issue. + + +## Learn More + +- **[Full Guide](../../docs/guides/electron/winml-addon.md)** - Step-by-step tutorial +- **[WinAppCLI Documentation](../../docs/usage.md)** - CLI reference +- **[WinML Documentation](https://learn.microsoft.com/en-us/windows/ai/new-windows-ml/overview)** - Official WinML docs +- **[AI Dev Gallery](https://aka.ms/aidevgallery)** + +## Troubleshooting + +**App crashes or shows blank window:** +Add `-- --no-sandbox` to the start script in `package.json`. + +**Model not found:** +Ensure `squeezenet1.1-7.onnx` is in the `models/` folder. + +**Build errors:** +Run `npx winapp restore` to restore SDK packages. + +**Certificate errors:** +Reinstall the certificate (as admin): `npx winapp cert install .\devcert.pfx` + +## License + +See [LICENSE](../../LICENSE) for details. diff 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-0,0 +1,40 @@ +{ + "name": "electron-winml-sample", + "productName": "electron-winml-sample", + "version": "1.0.0", + "description": "My Electron application description", + "main": "src/index.js", + "scripts": { + "start": "electron-forge start", + "package": "electron-forge package", + "make": "electron-forge make", + "publish": "electron-forge publish", + "lint": "echo \"No linting configured\"", + "build-winMlAddon": "dotnet publish ./winMlAddon/winMlAddon.csproj -c Release", + "clean-winMlAddon": "dotnet clean ./winMlAddon/winMlAddon.csproj", + "setup-debug": "winapp node add-electron-debug-identity", + "postinstall": "winapp restore && winapp cert generate --if-exists skip && npm run setup-debug" + }, + "keywords": [], + "author": { + "name": "Nikola Metulev", + "email": "nmetulev@users.noreply.github.com" + }, + "license": "MIT", + "dependencies": { + "electron-squirrel-startup": "^1.0.1", + "node-api-dotnet": "^0.9.18" + }, + "devDependencies": { + "@electron-forge/cli": "^7.10.2", + "@electron-forge/maker-deb": "^7.10.2", + "@electron-forge/maker-rpm": "^7.10.2", + "@electron-forge/maker-squirrel": "^7.10.2", + "@electron-forge/maker-zip": "^7.10.2", + "@electron-forge/plugin-auto-unpack-natives": "^7.10.2", + "@electron-forge/plugin-fuses": "^7.10.2", + "@electron/fuses": "^1.8.0", + "@microsoft/winappcli": "^0.1.8", + "electron": "39.2.7" + } +} \ No newline at end of file diff --git a/samples/electron-winml/src/index.css b/samples/electron-winml/src/index.css new file mode 100644 index 0000000..2c729f9 --- /dev/null +++ b/samples/electron-winml/src/index.css @@ -0,0 +1,168 @@ +* { + box-sizing: border-box; + margin: 0; + padding: 0; +} + +body { + font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; + background: #f3f3f3; + min-height: 100vh; + padding: 0; + margin: 0; +} + +.container { + background: #ffffff; + padding: 24px; + max-width: 100%; + width: 100%; + height: 100vh; +} + +h1 { + color: #000000; + margin-bottom: 20px; + font-size: 28px; + font-weight: 600; + padding-bottom: 16px; + border-bottom: 1px solid #e0e0e0; +} + +h2 { + color: #000000; + margin-bottom: 12px; + font-size: 20px; + font-weight: 600; +} + +.select-btn { + padding: 8px 16px; + font-size: 14px; + font-weight: 400; + color: #ffffff; + background: #0078d4; + border: 1px solid #0078d4; + border-radius: 4px; + cursor: pointer; + transition: background 0.1s; + margin-bottom: 20px; + font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; +} + +.select-btn:hover { + background: #106ebe; + border-color: #106ebe; +} + +.select-btn:active { + background: #005a9e; + border-color: #005a9e; +} + +.image-preview { + margin-bottom: 20px; + text-align: center; + padding: 12px; + background: #fafafa; + border: 1px solid #e0e0e0; + border-radius: 4px; +} + +.image-preview img { + max-width: 100%; + max-height: 400px; + border: 1px solid #d0d0d0; +} + +.loading { + text-align: center; + padding: 32px; + background: #fafafa; + border: 1px solid #e0e0e0; + margin-bottom: 20px; + border-radius: 4px; +} + +.spinner { + border: 3px solid #e0e0e0; + border-top: 3px solid #0078d4; + border-radius: 50%; + width: 40px; + height: 40px; + animation: spin 1s linear infinite; + margin: 0 auto 12px; +} + +@keyframes spin { + 0% { transform: rotate(0deg); } + 100% { transform: rotate(360deg); } +} + +.loading p { + color: #5d5d5d; + font-size: 14px; +} + +.results { + background: #fafafa; + border: 1px solid #e0e0e0; + padding: 16px; + border-radius: 4px; +} + +#resultsList { + list-style: none; + padding: 0; + margin: 0; +} + +#resultsList li { + padding: 12px; + margin-bottom: 8px; + background: #ffffff; + border: 1px solid #e0e0e0; + border-radius: 4px; + display: flex; + justify-content: space-between; + align-items: center; +} + +#resultsList li:hover { + background: #f5f5f5; +} + +.label-name { + font-weight: 600; + color: #000000; + flex: 1; + font-size: 14px; +} + +.confidence { + font-weight: 600; + color: #0078d4; + font-size: 14px; + margin-left: 16px; + min-width: 60px; + text-align: right; +} + +.confidence-bar { + height: 4px; + background: #e0e0e0; + margin-top: 6px; + overflow: hidden; + border-radius: 2px; +} + +.confidence-fill { + height: 100%; + background: #0078d4; + transition: width 0.3s ease; + border-radius: 2px; +} + +.hidden { + display: none; +} diff --git a/samples/electron-winml/src/index.html b/samples/electron-winml/src/index.html new file mode 100644 index 0000000..24b8b47 --- /dev/null +++ b/samples/electron-winml/src/index.html @@ -0,0 +1,31 @@ + + + + + Image Classification + + + +
+

๐Ÿ–ผ๏ธ Image Classification

+ + + + + + + + +
+ + + + diff --git a/samples/electron-winml/src/index.js b/samples/electron-winml/src/index.js new file mode 100644 index 0000000..8692526 --- /dev/null +++ b/samples/electron-winml/src/index.js @@ -0,0 +1,96 @@ +const { app, BrowserWindow, ipcMain, dialog } = require('electron'); +const path = require('node:path'); +const winMlAddon = require('../winMlAddon/dist/winMlAddon.node'); + +let addonInstance; + +// Handle creating/removing shortcuts on Windows when installing/uninstalling. +if (require('electron-squirrel-startup')) { + app.quit(); +} + +const createWindow = () => { + // Create the browser window. + const mainWindow = new BrowserWindow({ + width: 800, + height: 600, + webPreferences: { + preload: path.join(__dirname, 'preload.js'), + }, + }); + + // and load the index.html of the app. + mainWindow.loadFile(path.join(__dirname, 'index.html')); + + // Open the DevTools. + mainWindow.webContents.openDevTools(); +}; + +// IPC Handler: Select image file +ipcMain.handle('select-image', async (event) => { + const result = await dialog.showOpenDialog({ + properties: ['openFile'], + filters: [ + { name: 'Images', extensions: ['jpg', 'jpeg', 'png', 'gif', 'bmp', 'webp'] } + ] + }); + + if (!result.canceled && result.filePaths.length > 0) { + return result.filePaths[0]; + } + return null; +}); + +// IPC Handler: Classify image +ipcMain.handle('classify-image', async (event, imagePath) => { + try { + if (!addonInstance) { + let rootDir = path.join(__dirname, '..'); + // if app.asar in path, adjust rootDir + if (rootDir.includes('app.asar')) { + rootDir = rootDir.replace('app.asar', 'app.asar.unpacked'); + } + addonInstance = await winMlAddon.Addon.createAsync(rootDir); + } + + const predictions = await addonInstance.classifyImage(imagePath); + + const results = predictions.map(prediction => ({ + label: prediction.label, + confidence: prediction.confidence + })); + // Return mock results - replace this with your actual model results + // Expected format: array of { label: string, confidence: number } + return results; + } catch (error) { + console.error('Classification error:', error); + throw error; + } +}); + +// This method will be called when Electron has finished +// initialization and is ready to create browser windows. +// Some APIs can only be used after this event occurs. +app.whenReady().then(() => { + createWindow(); + + // On OS X it's common to re-create a window in the app when the + // dock icon is clicked and there are no other windows open. + app.on('activate', () => { + if (BrowserWindow.getAllWindows().length === 0) { + createWindow(); + } + }); +}); + +// Quit when all windows are closed, except on macOS. There, it's common +// for applications and their menu bar to stay active until the user quits +// explicitly with Cmd + Q. +app.on('window-all-closed', () => { + if (process.platform !== 'darwin') { + app.quit(); + } +}); + +// In this file you can include the rest of your app's specific main process +// code. You can also put them in separate files and import them here. diff --git a/samples/electron-winml/src/preload.js b/samples/electron-winml/src/preload.js new file mode 100644 index 0000000..b59e8d3 --- /dev/null +++ b/samples/electron-winml/src/preload.js @@ -0,0 +1,7 @@ +const { contextBridge, ipcRenderer } = require('electron'); + +// Expose IPC methods to the renderer process +contextBridge.exposeInMainWorld('electronAPI', { + selectImage: () => ipcRenderer.invoke('select-image'), + classifyImage: (imagePath) => ipcRenderer.invoke('classify-image', imagePath), +}); diff --git a/samples/electron-winml/src/renderer.js b/samples/electron-winml/src/renderer.js new file mode 100644 index 0000000..452869e --- /dev/null +++ b/samples/electron-winml/src/renderer.js @@ -0,0 +1,88 @@ +// UI elements +const selectImageBtn = document.getElementById('selectImageBtn'); +const imagePreview = document.getElementById('imagePreview'); +const selectedImage = document.getElementById('selectedImage'); +const loadingView = document.getElementById('loadingView'); +const resultsContainer = document.getElementById('resultsContainer'); +const resultsList = document.getElementById('resultsList'); + +// Handle image selection +selectImageBtn.addEventListener('click', async () => { + try { + // Open file dialog and get selected image path + const imagePath = await window.electronAPI.selectImage(); + + if (imagePath) { + // Show image preview + selectedImage.src = imagePath; + imagePreview.classList.remove('hidden'); + + // Hide previous results + resultsContainer.classList.add('hidden'); + + // Show loading view + loadingView.classList.remove('hidden'); + + // Send image to main process for classification + const results = await window.electronAPI.classifyImage(imagePath); + + // Hide loading view + loadingView.classList.add('hidden'); + + // Display results + displayResults(results); + } + } catch (error) { + console.error('Error processing image:', error); + loadingView.classList.add('hidden'); + alert('Error processing image: ' + error.message); + } +}); + +// Display classification results +function displayResults(results) { + // Clear previous results + resultsList.innerHTML = ''; + + if (!results || results.length === 0) { + resultsList.innerHTML = '
  • No results found
    • '; + } else { + // Sort by confidence (highest first) + const sortedResults = [...results].sort((a, b) => b.confidence - a.confidence); + + // Create list items for each result + sortedResults.forEach(result => { + const li = document.createElement('li'); + + const labelDiv = document.createElement('div'); + labelDiv.style.flex = '1'; + + const labelName = document.createElement('span'); + labelName.className = 'label-name'; + labelName.textContent = result.label; + + const confidenceSpan = document.createElement('span'); + confidenceSpan.className = 'confidence'; + confidenceSpan.textContent = `${(result.confidence * 100).toFixed(1)}%`; + + const confidenceBar = document.createElement('div'); + confidenceBar.className = 'confidence-bar'; + + const confidenceFill = document.createElement('div'); + confidenceFill.className = 'confidence-fill'; + confidenceFill.style.width = `${result.confidence * 100}%`; + + confidenceBar.appendChild(confidenceFill); + labelDiv.appendChild(labelName); + labelDiv.appendChild(confidenceBar); + + li.appendChild(labelDiv); + li.appendChild(confidenceSpan); + + resultsList.appendChild(li); + }); + } + + // Show results container + resultsContainer.classList.remove('hidden'); +} diff --git a/samples/electron-winml/winMlAddon/README.md b/samples/electron-winml/winMlAddon/README.md new file mode 100644 index 0000000..e6bd1e3 --- /dev/null +++ b/samples/electron-winml/winMlAddon/README.md @@ -0,0 +1,83 @@ +# winMlAddon - C# Native Addon + +This is a C# native addon for Node.js/Electron, created using node-api-dotnet. + +## Building the Addon + +To build the C# addon, run: + +```bash +npm run build-winMlAddon +``` + +This will compile the C# code and output the assembly to `build/Release/winMlAddon.dll`. + +## Using the Addon in JavaScript + +After building, you can use the addon in your JavaScript code: + +```javascript +// Load the C# module +const winMlAddon = require('./winMlAddon/dist/winMlAddon.node'); + +// Call exported methods (note: C# method names are converted to camelCase in JavaScript) +console.log(winMlAddon.Addon.hello('World')); +// Output: Hello from C#, World! + +console.log(winMlAddon.Addon.add(5, 3)); +// Output: 8 + +console.log(winMlAddon.Addon.getCurrentTime()); +// Output: (current time) +``` + +**Note:** +- The module is loaded via `dotnet.require()` from the `node-api-dotnet` package. +- C# method names (PascalCase) are automatically converted to camelCase in JavaScript. +- Make sure `node-api-dotnet` is installed (it should be added automatically when you created this addon). + +## Development + +The addon source code is in `winMlAddon/addon.cs`. You can modify this file to add your own C# functionality. + +### Adding New Methods + +To add new methods that are callable from JavaScript: + +1. Add the `[JSExport]` attribute to the method +2. Make sure the method is `public static` +3. Rebuild the addon with `npm run build-winMlAddon` + +Example: + +```csharp +[JSExport] +public static string MyNewMethod(string input) +{ + return $"Processed: {input}"; +} +``` + +## Debugging + +To debug the C# addon in Visual Studio or VS Code: + +1. Open the `.csproj` file in Visual Studio +2. Set breakpoints in your C# code +3. Attach the debugger to the Node.js/Electron process + +## Type Definitions + +The build process automatically generates TypeScript type definitions (`.d.ts` file) in the output directory. You can reference these types in your TypeScript code for full IntelliSense support. + +## Dependencies + +This addon uses: +- [node-api-dotnet](https://github.com/microsoft/node-api-dotnet) - .NET interop for Node.js +- .NET 8.0 SDK (required for building) + +## Learn More + +- [node-api-dotnet documentation](https://microsoft.github.io/node-api-dotnet/) +- [C# Node.js addon module guide](https://microsoft.github.io/node-api-dotnet/scenarios/js-dotnet-module.html) +- [Node-API (N-API) documentation](https://nodejs.org/api/n-api.html) diff --git a/samples/electron-winml/winMlAddon/Utils/BitmapFunctions.cs b/samples/electron-winml/winMlAddon/Utils/BitmapFunctions.cs new file mode 100644 index 0000000..6a633fc --- /dev/null +++ b/samples/electron-winml/winMlAddon/Utils/BitmapFunctions.cs @@ -0,0 +1,492 @@ +using Microsoft.ML.OnnxRuntime; +using Microsoft.ML.OnnxRuntime.Tensors; +using Microsoft.UI.Xaml.Media.Imaging; +using System; +using System.Collections.Generic; +using System.Drawing; +using System.Drawing.Imaging; +using System.IO; +using System.Linq; +using System.Runtime.InteropServices; +using System.Runtime.InteropServices.WindowsRuntime; +using System.Threading.Tasks; +using Windows.Graphics.Imaging; +using Windows.Media; +using Windows.Storage.Streams; + +namespace winMlAddon; + +internal class BitmapFunctions +{ + private static readonly float[] Mean = [0.485f, 0.456f, 0.406f]; + private static readonly float[] StdDev = [0.229f, 0.224f, 0.225f]; + + public static Bitmap ResizeBitmap(Bitmap originalBitmap, int newWidth, int newHeight) + { + Bitmap resizedBitmap = new(newWidth, newHeight); + using (Graphics graphics = Graphics.FromImage(resizedBitmap)) + { + graphics.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.HighQualityBicubic; + graphics.DrawImage(originalBitmap, 0, 0, newWidth, newHeight); + } + + return resizedBitmap; + } + + public static Bitmap ResizeWithPadding(Bitmap originalBitmap, int targetWidth, int targetHeight) + { + // Determine the scaling factor to fit the image within the target dimensions + float scale = Math.Min((float)targetWidth / originalBitmap.Width, (float)targetHeight / originalBitmap.Height); + + // Calculate the new width and height based on the scaling factor + int scaledWidth = (int)(originalBitmap.Width * scale); + int scaledHeight = (int)(originalBitmap.Height * scale); + + // Center the image within the target dimensions + int offsetX = (targetWidth - scaledWidth) / 2; + int offsetY = (targetHeight - scaledHeight) / 2; + + // Create a new bitmap with the target dimensions and a white background for padding + Bitmap paddedBitmap = new(targetWidth, targetHeight); + using (Graphics graphics = Graphics.FromImage(paddedBitmap)) + { + graphics.Clear(Color.White); // Set background color for padding to white + graphics.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.HighQualityBicubic; + + // Draw the scaled image onto the center of the new bitmap + graphics.DrawImage(originalBitmap, offsetX, offsetY, scaledWidth, scaledHeight); + } + + return paddedBitmap; + } + + public static async Task ResizeVideoFrameWithPadding(VideoFrame videoFrame, int targetWidth, int targetHeight) + { + // Convert VideoFrame to SoftwareBitmap (RGBA8 for compatibility) + var softwareBitmap = SoftwareBitmap.Convert(videoFrame.SoftwareBitmap, BitmapPixelFormat.Rgba8); + + using (IRandomAccessStream stream = new InMemoryRandomAccessStream()) + { + // Create a BitmapEncoder for JPEG or PNG + BitmapEncoder encoder = await BitmapEncoder.CreateAsync(BitmapEncoder.PngEncoderId, stream); + + // Set the software bitmap + encoder.SetSoftwareBitmap(softwareBitmap); + + // Determine the scaling factor + float scale = Math.Min((float)targetWidth / softwareBitmap.PixelWidth, (float)targetHeight / softwareBitmap.PixelHeight); + + // Calculate new scaled dimensions + int scaledWidth = (int)(softwareBitmap.PixelWidth * scale); + int scaledHeight = (int)(softwareBitmap.PixelHeight * scale); + + // Calculate padding offsets (centering the image) + int offsetX = (targetWidth - scaledWidth) / 2; + int offsetY = (targetHeight - scaledHeight) / 2; + + // Apply transformations + encoder.BitmapTransform.ScaledWidth = (uint)scaledWidth; + encoder.BitmapTransform.ScaledHeight = (uint)scaledHeight; + encoder.BitmapTransform.InterpolationMode = BitmapInterpolationMode.Fant; + + await encoder.FlushAsync(); + stream.Seek(0); // Reset stream position + + // Convert to System.Drawing.Bitmap + using var tempBitmap = new Bitmap(stream.AsStream()); + Bitmap paddedBitmap = new(targetWidth, targetHeight); + + using (Graphics graphics = Graphics.FromImage(paddedBitmap)) + { + graphics.Clear(Color.White); // White padding background + graphics.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.HighQualityBicubic; + + // Draw the resized image centered + graphics.DrawImage(tempBitmap, offsetX, offsetY, scaledWidth, scaledHeight); + } + + return paddedBitmap; + } + } + + public static Tensor PreprocessBitmapForFaceDetection(Bitmap bitmap, Tensor input) + { + int width = bitmap.Width; + int height = bitmap.Height; + + BitmapData bmpData = bitmap.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); + + int stride = bmpData.Stride; + IntPtr ptr = bmpData.Scan0; + int bytes = Math.Abs(stride) * height; + byte[] rgbValues = new byte[bytes]; + + Marshal.Copy(ptr, rgbValues, 0, bytes); + + for (int y = 0; y < height; y++) + { + for (int x = 0; x < width; x++) + { + int index = (y * stride) + (x * 3); + byte blue = rgbValues[index]; + byte green = rgbValues[index + 1]; + byte red = rgbValues[index + 2]; + + // Convert to grayscale and normalize to [0,1] + float gray = (0.299f * red + 0.587f * green + 0.114f * blue) / 255f; + + input[0, 0, y, x] = (gray - .442f) / .28f; + } + } + + bitmap.UnlockBits(bmpData); + + return input; + } + + public static Tensor PreprocessBitmapWithStdDev(Bitmap bitmap, Tensor input) + { + int width = bitmap.Width; + int height = bitmap.Height; + + BitmapData bmpData = bitmap.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); + + int stride = bmpData.Stride; + IntPtr ptr = bmpData.Scan0; + int bytes = Math.Abs(stride) * height; + byte[] rgbValues = new byte[bytes]; + + Marshal.Copy(ptr, rgbValues, 0, bytes); + + for (int y = 0; y < height; y++) + { + for (int x = 0; x < width; x++) + { + int index = y * stride + x * 3; + byte blue = rgbValues[index]; + byte green = rgbValues[index + 1]; + byte red = rgbValues[index + 2]; + + input[0, 0, y, x] = ((red / 255f) - Mean[0]) / StdDev[0]; + input[0, 1, y, x] = ((green / 255f) - Mean[1]) / StdDev[1]; + input[0, 2, y, x] = ((blue / 255f) - Mean[2]) / StdDev[2]; + } + } + + bitmap.UnlockBits(bmpData); + + return input; + } + + public static Tensor PreprocessBitmapWithoutStandardization(Bitmap bitmap, Tensor input) + { + int width = bitmap.Width; + int height = bitmap.Height; + + BitmapData bmpData = bitmap.LockBits(new System.Drawing.Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); + + int stride = bmpData.Stride; + IntPtr ptr = bmpData.Scan0; + int bytes = Math.Abs(stride) * height; + byte[] rgbValues = new byte[bytes]; + + Marshal.Copy(ptr, rgbValues, 0, bytes); + + for (int y = 0; y < height; y++) + { + for (int x = 0; x < width; x++) + { + int index = y * stride + x * 3; + byte blue = rgbValues[index]; + byte green = rgbValues[index + 1]; + byte red = rgbValues[index + 2]; + + input[0, 0, y, x] = red / 255f; + input[0, 1, y, x] = green / 255f; + input[0, 2, y, x] = blue / 255f; + } + } + + bitmap.UnlockBits(bmpData); + + return input; + } + + public static Tensor PreprocessBitmapForYOLO(Bitmap bitmap, Tensor input) + { + int width = bitmap.Width; + int height = bitmap.Height; + + BitmapData bmpData = bitmap.LockBits(new System.Drawing.Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); + + int stride = bmpData.Stride; + IntPtr ptr = bmpData.Scan0; + int bytes = Math.Abs(stride) * height; + byte[] rgbValues = new byte[bytes]; + + Marshal.Copy(ptr, rgbValues, 0, bytes); + + for (int y = 0; y < height; y++) + { + for (int x = 0; x < width; x++) + { + int index = y * stride + x * 3; + byte blue = rgbValues[index]; + byte green = rgbValues[index + 1]; + byte red = rgbValues[index + 2]; + + // The reason this needs its own function is because the variables are in different places in the input + input[0, y, x, 0] = red / 255f; + input[0, y, x, 1] = green / 255f; + input[0, y, x, 2] = blue / 255f; + } + } + + bitmap.UnlockBits(bmpData); + + return input; + } + + public static DenseTensor PreprocessBitmapForObjectDetection(Bitmap bitmap, int paddedHeight, int paddedWidth) + { + int width = bitmap.Width; + int height = bitmap.Height; + DenseTensor input = new([3, paddedHeight, paddedWidth]); + + BitmapData bmpData = bitmap.LockBits(new Rectangle(0, 0, width, height), ImageLockMode.ReadOnly, PixelFormat.Format24bppRgb); + + int stride = bmpData.Stride; + IntPtr ptr = bmpData.Scan0; + int bytes = Math.Abs(stride) * height; + byte[] rgbValues = new byte[bytes]; + + Marshal.Copy(ptr, rgbValues, 0, bytes); + + for (int y = paddedHeight - height; y < height; y++) + { + for (int x = paddedWidth - width; x < width; x++) + { + int index = (y - (paddedHeight - height)) * stride + (x - (paddedWidth - width)) * 3; + byte blue = rgbValues[index]; + byte green = rgbValues[index + 1]; + byte red = rgbValues[index + 2]; + + input[0, y, x] = blue - Mean[0]; + input[1, y, x] = green - Mean[1]; + input[2, y, x] = red - Mean[2]; + } + } + + bitmap.UnlockBits(bmpData); + + return input; + } + + public static BitmapImage RenderPredictions(Bitmap image, List predictions) + { + using Graphics g = Graphics.FromImage(image); + float markerSize = (image.Width + image.Height) * 0.001f; + using Pen pen = new(Color.Red, markerSize); + using Brush brush = new SolidBrush(Color.White); + using Font font = new("Arial", GetAdjustedFontsize(predictions)); + foreach (var p in predictions) + { + if (p == null || p.Box == null) + { + continue; + } + + // Draw the box + g.DrawLine(pen, p.Box.Xmin, p.Box.Ymin, p.Box.Xmax, p.Box.Ymin); + g.DrawLine(pen, p.Box.Xmax, p.Box.Ymin, p.Box.Xmax, p.Box.Ymax); + g.DrawLine(pen, p.Box.Xmax, p.Box.Ymax, p.Box.Xmin, p.Box.Ymax); + g.DrawLine(pen, p.Box.Xmin, p.Box.Ymax, p.Box.Xmin, p.Box.Ymin); + + string labelText = $"{p.Label}, {p.Confidence:0.00}"; + g.DrawString(labelText, font, brush, new PointF(p.Box.Xmin, p.Box.Ymin)); + } + + // returns bitmap image + BitmapImage bitmapImage = new(); + using (MemoryStream memoryStream = new()) + { + image.Save(memoryStream, System.Drawing.Imaging.ImageFormat.Png); + + memoryStream.Position = 0; + + bitmapImage.SetSource(memoryStream.AsRandomAccessStream()); + } + + return bitmapImage; + } + + public static BitmapImage? RenderBackgroundMask(Bitmap image, byte[] backgroundMask, int originalImageWidth, int originalImageHeight) + { + if (image == null || backgroundMask == null || backgroundMask.Length == 0) + { + return null; + } + + using Graphics g = Graphics.FromImage(image); + + using SolidBrush semiTransparentRedBrush = new SolidBrush(Color.FromArgb(100, 255, 0, 0)); + + for (int y = 0; y < originalImageHeight; y++) + { + for (int x = 0; x < originalImageWidth; x++) + { + int index = (y * originalImageWidth + x) * 4; + if (backgroundMask[index + 3] > 128) + { + g.FillRectangle(semiTransparentRedBrush, x, y, 1, 1); + } + } + } + + BitmapImage bitmapImage = new(); + using (MemoryStream memoryStream = new()) + { + image.Save(memoryStream, System.Drawing.Imaging.ImageFormat.Png); + memoryStream.Position = 0; + bitmapImage.SetSource(memoryStream.AsRandomAccessStream()); + } + + return bitmapImage; + } + + // For super resolution + public static Bitmap CropAndScale(Bitmap paddedBitmap, int originalWidth, int originalHeight, int modelScalingFactor) + { + float scale = Math.Min(128f / originalWidth, 128f / originalHeight); + + // Calculate the dimensions of the cropped area + int cropWidth = (int)(originalWidth * scale * modelScalingFactor); + int cropHeight = (int)(originalHeight * scale * modelScalingFactor); + + // Calculate the offset to locate the padded content in the 512x512 image + int offsetX = (paddedBitmap.Width - cropWidth) / 2; + int offsetY = (paddedBitmap.Height - cropHeight) / 2; + + // Crop the region containing the actual content + Rectangle cropArea = new(offsetX, offsetY, cropWidth, cropHeight); + using Bitmap croppedBitmap = paddedBitmap.Clone(cropArea, paddedBitmap.PixelFormat); + + // Scale the cropped bitmap to {modelScalingFactor} times the original image dimensions + int finalWidth = originalWidth * modelScalingFactor; + int finalHeight = originalHeight * modelScalingFactor; + Bitmap scaledBitmap = new(finalWidth, finalHeight); + + using (Graphics graphics = Graphics.FromImage(scaledBitmap)) + { + graphics.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.HighQualityBicubic; + graphics.DrawImage(croppedBitmap, 0, 0, finalWidth, finalHeight); + } + + return scaledBitmap; + } + + public static Bitmap TensorToBitmap(IDisposableReadOnlyCollection tensor) + { + // Assumes output tensor shape [batch, c, w, h] + var outputTensor = tensor[0].AsTensor(); + int height = outputTensor.Dimensions[2]; + int width = outputTensor.Dimensions[3]; + + // Create the bitmap + Bitmap bitmap = new(width, height, PixelFormat.Format24bppRgb); + BitmapData bmpData = bitmap.LockBits( + new Rectangle(0, 0, width, height), + ImageLockMode.WriteOnly, + PixelFormat.Format24bppRgb); + + int stride = bmpData.Stride; + IntPtr ptr = bmpData.Scan0; + byte[] pixelData = new byte[Math.Abs(stride) * height]; + + // Fill the pixel data + for (int y = 0; y < height; y++) + { + for (int x = 0; x < width; x++) + { + int index = (y * stride) + (x * 3); + + // Extract RGB values from the tensor (assume [0,1] range) + float rVal = outputTensor[0, 0, y, x]; // Red + float gVal = outputTensor[0, 1, y, x]; // Green + float bVal = outputTensor[0, 2, y, x]; // Blue + + // Scale to [0, 255] and clamp + byte r = (byte)Math.Clamp(rVal * 255, 0, 255); + byte g = (byte)Math.Clamp(gVal * 255, 0, 255); + byte b = (byte)Math.Clamp(bVal * 255, 0, 255); + + // Store pixel values in BGR order + pixelData[index] = b; + pixelData[index + 1] = g; + pixelData[index + 2] = r; + } + } + + // Copy the pixel data to the bitmap + Marshal.Copy(pixelData, 0, ptr, pixelData.Length); + bitmap.UnlockBits(bmpData); + + return bitmap; + } + + // Crops bitmap given a prediciton box + public static Bitmap CropImage(Bitmap originalImage, Box box) + { + int xmin = Math.Max(0, (int)box.Xmin); + int ymin = Math.Max(0, (int)box.Ymin); + int width = Math.Min(originalImage.Width - xmin, (int)(box.Xmax - box.Xmin)); + int height = Math.Min(originalImage.Height - ymin, (int)(box.Ymax - box.Ymin)); + + Rectangle cropRectangle = new(xmin, ymin, width, height); + return originalImage.Clone(cropRectangle, originalImage.PixelFormat); + } + + // Overlays cropped section a bitmap inside the original image in the Box region + public static Bitmap OverlayImage(Bitmap originalImage, Bitmap overlay, Box box) + { + using Graphics graphics = Graphics.FromImage(originalImage); + + // Scale the overlay to match the bounding box size + graphics.DrawImage(overlay, new Rectangle( + (int)box.Xmin, + (int)box.Ymin, + (int)(box.Xmax - box.Xmin), + (int)(box.Ymax - box.Ymin))); + + return originalImage; + } + + public static BitmapImage ConvertBitmapToBitmapImage(Bitmap bitmap) + { + using var stream = new InMemoryRandomAccessStream(); + + // Save the bitmap to a stream + bitmap.Save(stream.AsStream(), ImageFormat.Png); + stream.Seek(0); + + // Create a BitmapImage from the stream + BitmapImage bitmapImage = new(); + bitmapImage.SetSource(stream); + + return bitmapImage; + } + + private static float GetAdjustedFontsize(List predictions) + { + float adjustedFontSize = 12; + + if (predictions.Count > 0) + { + int maxPredictionTextLength = predictions.Select(p => p.Label.Length).ToList().Max() + 5; + float minPredictionBoxWidth = predictions.Select(p => p.Box!.Xmax - p.Box!.Xmin).ToList().Min(); + adjustedFontSize = Math.Clamp(minPredictionBoxWidth / ((float)maxPredictionTextLength), 8, 16); + } + + return adjustedFontSize; + } +} \ No newline at end of file diff --git a/samples/electron-winml/winMlAddon/Utils/ImageNet.cs b/samples/electron-winml/winMlAddon/Utils/ImageNet.cs new file mode 100644 index 0000000..bd79518 --- /dev/null +++ b/samples/electron-winml/winMlAddon/Utils/ImageNet.cs @@ -0,0 +1,104 @@ +using Microsoft.UI.Text; +using Microsoft.UI.Xaml; +using Microsoft.UI.Xaml.Controls; +using System; +using System.Collections.Generic; +using System.Linq; + +namespace winMlAddon; + +internal class ImageNet +{ + public static Prediction[] GetSoftmax(IEnumerable output) + { + float sum = output.Sum(x => (float)Math.Exp(x)); + IEnumerable softmax = output.Select(x => (float)Math.Round((float)Math.Exp(x) / sum, 4)); + + return softmax.Select((x, i) => new Prediction { Label = ImageNetLabels.Labels[i], Confidence = x }) + .OrderByDescending(x => x.Confidence) + .Take(5) + .ToArray(); + } + + public static void DisplayPredictions(IEnumerable predictions, StackPanel PredictionsStackPanel) + { + // Clear previous predictions + PredictionsStackPanel.Children.Clear(); + + // Set headers + Grid headerRow = new() + { + Margin = new Thickness(0, 8, 0, 8) + }; + headerRow.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Auto) }); + headerRow.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Star) }); + headerRow.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Auto) }); + + // Create a TextBlock for the label + TextBlock labelHeader = new() + { + Text = "Label", + FontSize = 14, + FontWeight = FontWeights.SemiBold, + Margin = new Thickness(0, 0, 8, 0), + VerticalAlignment = VerticalAlignment.Center + }; + Grid.SetColumn(labelHeader, 0); + + // Create a TextBlock for the confidence + TextBlock confidenceHeader = new() + { + Text = "Confidence", + FontSize = 14, + FontWeight = FontWeights.SemiBold, + Margin = new Thickness(0, 0, 8, 0), + VerticalAlignment = VerticalAlignment.Center, + TextWrapping = TextWrapping.Wrap + }; + Grid.SetColumn(confidenceHeader, 2); + + headerRow.Children.Add(labelHeader); + headerRow.Children.Add(confidenceHeader); + + PredictionsStackPanel.Children.Add(headerRow); + + foreach (var prediction in predictions) + { + // Create a Grid to hold the label and the progress bar + Grid predictionGrid = new() + { + Margin = new Thickness(0, 8, 0, 8) + }; + predictionGrid.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Auto) }); + predictionGrid.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Star) }); + predictionGrid.ColumnDefinitions.Add(new ColumnDefinition { Width = new GridLength(1, GridUnitType.Auto) }); + + // Create a TextBlock for the label + TextBlock labelTextBlock = new() + { + Text = prediction.Label, + FontSize = 14, + Margin = new Thickness(0, 0, 8, 0), + VerticalAlignment = VerticalAlignment.Center, + TextWrapping = TextWrapping.Wrap, + MaxWidth = 300 + }; + Grid.SetColumn(labelTextBlock, 0); + + // Create a TextBlock for the percentage + TextBlock confidenceTextBlock = new() + { + Text = $"{prediction.Confidence * 100} %", + FontSize = 14, + Margin = new Thickness(5, 0, 8, 0), + VerticalAlignment = VerticalAlignment.Center + }; + Grid.SetColumn(confidenceTextBlock, 2); + + predictionGrid.Children.Add(labelTextBlock); + predictionGrid.Children.Add(confidenceTextBlock); + + PredictionsStackPanel.Children.Add(predictionGrid); + } + } +} \ No newline at end of file diff --git a/samples/electron-winml/winMlAddon/Utils/ImageNetLabels.cs b/samples/electron-winml/winMlAddon/Utils/ImageNetLabels.cs new file mode 100644 index 0000000..de72408 --- /dev/null +++ b/samples/electron-winml/winMlAddon/Utils/ImageNetLabels.cs @@ -0,0 +1,1007 @@ +namespace winMlAddon; + +internal class ImageNetLabels +{ + public static readonly string[] Labels = [ +"tench, Tinca tinca", +"goldfish, Carassius auratus", +"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias", +"tiger shark, Galeocerdo cuvieri", +"hammerhead, hammerhead shark", +"electric ray, crampfish, numbfish, torpedo", +"stingray", +"cock", +"hen", +"ostrich, Struthio camelus", +"brambling, Fringilla montifringilla", +"goldfinch, Carduelis carduelis", +"house finch, linnet, Carpodacus mexicanus", +"junco, snowbird", +"indigo bunting, indigo finch, indigo bird, Passerina cyanea", +"robin, American robin, Turdus migratorius", +"bulbul", +"jay", +"magpie", +"chickadee", +"water ouzel, dipper", +"kite", +"bald eagle, American eagle, Haliaeetus leucocephalus", +"vulture", +"great grey owl, great gray owl, Strix nebulosa", +"European fire salamander, Salamandra salamandra", +"common newt, Triturus vulgaris", +"eft", +"spotted salamander, Ambystoma maculatum", +"axolotl, mud puppy, Ambystoma mexicanum", +"bullfrog, Rana catesbeiana", +"tree frog, tree-frog", +"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui", +"loggerhead, loggerhead turtle, Caretta caretta", +"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea", +"mud turtle", +"terrapin", +"box turtle, box tortoise", +"banded gecko", +"common iguana, iguana, Iguana iguana", +"American chameleon, anole, Anolis carolinensis", +"whiptail, whiptail lizard", +"agama", +"frilled lizard, Chlamydosaurus kingi", +"alligator lizard", +"Gila monster, Heloderma suspectum", +"green lizard, Lacerta viridis", +"African chameleon, Chamaeleo chamaeleon", +"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis", +"African crocodile, Nile crocodile, Crocodylus niloticus", +"American alligator, Alligator mississipiensis", +"triceratops", +"thunder snake, worm snake, Carphophis amoenus", +"ringneck snake, ring-necked snake, ring snake", +"hognose snake, puff adder, sand viper", +"green snake, grass snake", +"king snake, kingsnake", +"garter snake, grass snake", +"water snake", +"vine snake", +"night snake, Hypsiglena torquata", +"boa constrictor, Constrictor constrictor", +"rock python, rock snake, Python sebae", +"Indian cobra, Naja naja", +"green mamba", +"sea snake", +"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus", +"diamondback, diamondback rattlesnake, Crotalus adamanteus", +"sidewinder, horned rattlesnake, Crotalus cerastes", +"trilobite", +"harvestman, daddy longlegs, Phalangium opilio", +"scorpion", +"black and gold garden spider, Argiope aurantia", +"barn spider, Araneus cavaticus", +"garden spider, Aranea diademata", +"black widow, Latrodectus mactans", +"tarantula", +"wolf spider, hunting spider", +"tick", +"centipede", +"black grouse", +"ptarmigan", +"ruffed grouse, partridge, Bonasa umbellus", +"prairie chicken, prairie grouse, prairie fowl", +"peacock", +"quail", +"partridge", +"African grey, African gray, Psittacus erithacus", +"macaw", +"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita", +"lorikeet", +"coucal", +"bee eater", +"hornbill", +"hummingbird", +"jacamar", +"toucan", +"drake", +"red-breasted merganser, Mergus serrator", +"goose", +"black swan, Cygnus atratus", +"tusker", +"echidna, spiny anteater, anteater", +"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus", +"wallaby, brush kangaroo", +"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus", +"wombat", +"jellyfish", +"sea anemone, anemone", +"brain coral", +"flatworm, platyhelminth", +"nematode, nematode worm, roundworm", +"conch", +"snail", +"slug", +"sea slug, nudibranch", +"chiton, coat-of-mail shell, sea cradle, polyplacophore", +"chambered nautilus, pearly nautilus, nautilus", +"Dungeness crab, Cancer magister", +"rock crab, Cancer irroratus", +"fiddler crab", +"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica", +"American lobster, Northern lobster, Maine lobster, Homarus americanus", +"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish", +"crayfish, crawfish, crawdad, crawdaddy", +"hermit crab", +"isopod", +"white stork, Ciconia ciconia", +"black stork, Ciconia nigra", +"spoonbill", +"flamingo", +"little blue heron, Egretta caerulea", +"American egret, great white heron, Egretta albus", +"bittern", +"crane", +"limpkin, Aramus pictus", +"European gallinule, Porphyrio porphyrio", +"American coot, marsh hen, mud hen, water hen, Fulica americana", +"bustard", +"ruddy turnstone, Arenaria interpres", +"red-backed sandpiper, dunlin, Erolia alpina", +"redshank, Tringa totanus", +"dowitcher", +"oystercatcher, oyster catcher", +"pelican", +"king penguin, Aptenodytes patagonica", +"albatross, mollymawk", +"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus", +"killer whale, killer, orca, grampus, sea wolf, Orcinus orca", +"dugong, Dugong dugon", +"sea lion", +"Chihuahua", +"Japanese spaniel", +"Maltese dog, Maltese terrier, Maltese", +"Pekinese, Pekingese, Peke", +"Shih-Tzu", +"Blenheim spaniel", +"papillon", +"toy terrier", +"Rhodesian ridgeback", +"Afghan hound, Afghan", +"basset, basset hound", +"beagle", +"bloodhound, sleuthhound", +"bluetick", +"black-and-tan coonhound", +"Walker hound, Walker foxhound", +"English foxhound", +"redbone", +"borzoi, Russian wolfhound", +"Irish wolfhound", +"Italian greyhound", +"whippet", +"Ibizan hound, Ibizan Podenco", +"Norwegian elkhound, elkhound", +"otterhound, otter hound", +"Saluki, gazelle hound", +"Scottish deerhound, deerhound", +"Weimaraner", +"Staffordshire bullterrier, Staffordshire bull terrier", +"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier", +"Bedlington terrier", +"Border terrier", +"Kerry blue terrier", +"Irish terrier", +"Norfolk terrier", +"Norwich terrier", +"Yorkshire terrier", +"wire-haired fox terrier", +"Lakeland terrier", +"Sealyham terrier, Sealyham", +"Airedale, Airedale terrier", +"cairn, cairn terrier", +"Australian terrier", +"Dandie Dinmont, Dandie Dinmont terrier", +"Boston bull, Boston terrier", +"miniature schnauzer", +"giant schnauzer", +"standard schnauzer", +"Scotch terrier, Scottish terrier, Scottie", +"Tibetan terrier, chrysanthemum dog", +"silky terrier, Sydney silky", +"soft-coated wheaten terrier", +"West Highland white terrier", +"Lhasa, Lhasa apso", +"flat-coated retriever", +"curly-coated retriever", +"golden retriever", +"Labrador retriever", +"Chesapeake Bay retriever", +"German short-haired pointer", +"vizsla, Hungarian pointer", +"English setter", +"Irish setter, red setter", +"Gordon setter", +"Brittany spaniel", +"clumber, clumber spaniel", +"English springer, English springer spaniel", +"Welsh springer spaniel", +"cocker spaniel, English cocker spaniel, cocker", +"Sussex spaniel", +"Irish water spaniel", +"kuvasz", +"schipperke", +"groenendael", +"malinois", +"briard", +"kelpie", +"komondor", +"Old English sheepdog, bobtail", +"Shetland sheepdog, Shetland sheep dog, Shetland", +"collie", +"Border collie", +"Bouvier des Flandres, Bouviers des Flandres", +"Rottweiler", +"German shepherd, German shepherd dog, German police dog, alsatian", +"Doberman, Doberman pinscher", +"miniature pinscher", +"Greater Swiss Mountain dog", +"Bernese mountain dog", +"Appenzeller", +"EntleBucher", +"boxer", +"bull mastiff", +"Tibetan mastiff", +"French bulldog", +"Great Dane", +"Saint Bernard, St Bernard", +"Eskimo dog, husky", +"malamute, malemute, Alaskan malamute", +"Siberian husky", +"dalmatian, coach dog, carriage dog", +"affenpinscher, monkey pinscher, monkey dog", +"basenji", +"pug, pug-dog", +"Leonberg", +"Newfoundland, Newfoundland dog", +"Great Pyrenees", +"Samoyed, Samoyede", +"Pomeranian", +"chow, chow chow", +"keeshond", +"Brabancon griffon", +"Pembroke, Pembroke Welsh corgi", +"Cardigan, Cardigan Welsh corgi", +"toy poodle", +"miniature poodle", +"standard poodle", +"Mexican hairless", +"timber wolf, grey wolf, gray wolf, Canis lupus", +"white wolf, Arctic wolf, Canis lupus tundrarum", +"red wolf, maned wolf, Canis rufus, Canis niger", +"coyote, prairie wolf, brush wolf, Canis latrans", +"dingo, warrigal, warragal, Canis dingo", +"dhole, Cuon alpinus", +"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus", +"hyena, hyaena", +"red fox, Vulpes vulpes", +"kit fox, Vulpes macrotis", +"Arctic fox, white fox, Alopex lagopus", +"grey fox, gray fox, Urocyon cinereoargenteus", +"tabby, tabby cat", +"tiger cat", +"Persian cat", +"Siamese cat, Siamese", +"Egyptian cat", +"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor", +"lynx, catamount", +"leopard, Panthera pardus", +"snow leopard, ounce, Panthera uncia", +"jaguar, panther, Panthera onca, Felis onca", +"lion, king of beasts, Panthera leo", +"tiger, Panthera tigris", +"cheetah, chetah, Acinonyx jubatus", +"brown bear, bruin, Ursus arctos", +"American black bear, black bear, Ursus americanus, Euarctos americanus", +"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus", +"sloth bear, Melursus ursinus, Ursus ursinus", +"mongoose", +"meerkat, mierkat", +"tiger beetle", +"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle", +"ground beetle, carabid beetle", +"long-horned beetle, longicorn, longicorn beetle", +"leaf beetle, chrysomelid", +"dung beetle", +"rhinoceros beetle", +"weevil", +"fly", +"bee", +"ant, emmet, pismire", +"grasshopper, hopper", +"cricket", +"walking stick, walkingstick, stick insect", +"cockroach, roach", +"mantis, mantid", +"cicada, cicala", +"leafhopper", +"lacewing, lacewing fly", +"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk", +"damselfly", +"admiral", +"ringlet, ringlet butterfly", +"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus", +"cabbage butterfly", +"sulphur butterfly, sulfur butterfly", +"lycaenid, lycaenid butterfly", +"starfish, sea star", +"sea urchin", +"sea cucumber, holothurian", +"wood rabbit, cottontail, cottontail rabbit", +"hare", +"Angora, Angora rabbit", +"hamster", +"porcupine, hedgehog", +"fox squirrel, eastern fox squirrel, Sciurus niger", +"marmot", +"beaver", +"guinea pig, Cavia cobaya", +"sorrel", +"zebra", +"hog, pig, grunter, squealer, Sus scrofa", +"wild boar, boar, Sus scrofa", +"warthog", +"hippopotamus, hippo, river horse, Hippopotamus amphibius", +"ox", +"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis", +"bison", +"ram, tup", +"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis", +"ibex, Capra ibex", +"hartebeest", +"impala, Aepyceros melampus", +"gazelle", +"Arabian camel, dromedary, Camelus dromedarius", +"llama", +"weasel", +"mink", +"polecat, fitch, foulmart, foumart, Mustela putorius", +"black-footed ferret, ferret, Mustela nigripes", +"otter", +"skunk, polecat, wood pussy", +"badger", +"armadillo", +"three-toed sloth, ai, Bradypus tridactylus", +"orangutan, orang, orangutang, Pongo pygmaeus", +"gorilla, Gorilla gorilla", +"chimpanzee, chimp, Pan troglodytes", +"gibbon, Hylobates lar", +"siamang, Hylobates syndactylus, Symphalangus syndactylus", +"guenon, guenon monkey", +"patas, hussar monkey, Erythrocebus patas", +"baboon", +"macaque", +"langur", +"colobus, colobus monkey", +"proboscis monkey, Nasalis larvatus", +"marmoset", +"capuchin, ringtail, Cebus capucinus", +"howler monkey, howler", +"titi, titi monkey", +"spider monkey, Ateles geoffroyi", +"squirrel monkey, Saimiri sciureus", +"Madagascar cat, ring-tailed lemur, Lemur catta", +"indri, indris, Indri indri, Indri brevicaudatus", +"Indian elephant, Elephas maximus", +"African elephant, Loxodonta africana", +"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens", +"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca", +"barracouta, snoek", +"eel", +"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch", +"rock beauty, Holocanthus tricolor", +"anemone fish", +"sturgeon", +"gar, garfish, garpike, billfish, Lepisosteus osseus", +"lionfish", +"puffer, pufferfish, blowfish, globefish", +"abacus", +"abaya", +"academic gown, academic robe, judge's robe", +"accordion, piano accordion, squeeze box", +"acoustic guitar", +"aircraft carrier, carrier, flattop, attack aircraft carrier", +"airliner", +"airship, dirigible", +"altar", +"ambulance", +"amphibian, amphibious vehicle", +"analog clock", +"apiary, bee house", +"apron", +"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin", +"assault rifle, assault gun", +"backpack, back pack, knapsack, packsack, rucksack, haversack", +"bakery, bakeshop, bakehouse", +"balance beam, beam", +"balloon", +"ballpoint, ballpoint pen, ballpen, Biro", +"Band Aid", +"banjo", +"bannister, banister, balustrade, balusters, handrail", +"barbell", +"barber chair", +"barbershop", +"barn", +"barometer", +"barrel, cask", +"barrow, garden cart, lawn cart, wheelbarrow", +"baseball", +"basketball", +"bassinet", +"bassoon", +"bathing cap, swimming cap", +"bath towel", +"bathtub, bathing tub, bath, tub", +"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon", +"beacon, lighthouse, beacon light, pharos", +"beaker", +"bearskin, busby, shako", +"beer bottle", +"beer glass", +"bell cote, bell cot", +"bib", +"bicycle-built-for-two, tandem bicycle, tandem", +"bikini, two-piece", +"binder, ring-binder", +"binoculars, field glasses, opera glasses", +"birdhouse", +"boathouse", +"bobsled, bobsleigh, bob", +"bolo tie, bolo, bola tie, bola", +"bonnet, poke bonnet", +"bookcase", +"bookshop, bookstore, bookstall", +"bottlecap", +"bow", +"bow tie, bow-tie, bowtie", +"brass, memorial tablet, plaque", +"brassiere, bra, bandeau", +"breakwater, groin, groyne, mole, bulwark, seawall, jetty", +"breastplate, aegis, egis", +"broom", +"bucket, pail", +"buckle", +"bulletproof vest", +"bullet train, bullet", +"butcher shop, meat market", +"cab, hack, taxi, taxicab", +"caldron, cauldron", +"candle, taper, wax light", +"cannon", +"canoe", +"can opener, tin opener", +"cardigan", +"car mirror", +"carousel, carrousel, merry-go-round, roundabout, whirligig", +"carpenter's kit, tool kit", +"carton", +"car wheel", +"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM", +"cassette", +"cassette player", +"castle", +"catamaran", +"CD player", +"cello, violoncello", +"cellular telephone, cellular phone, cellphone, cell, mobile phone", +"chain", +"chainlink fence", +"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour", +"chain saw, chainsaw", +"chest", +"chiffonier, commode", +"chime, bell, gong", +"china cabinet, china closet", +"Christmas stocking", +"church, church building", +"cinema, movie theater, movie theatre, movie house, picture palace", +"cleaver, meat cleaver, chopper", +"cliff dwelling", +"cloak", +"clog, geta, patten, sabot", +"cocktail shaker", +"coffee mug", +"coffeepot", +"coil, spiral, volute, whorl, helix", +"combination lock", +"computer keyboard, keypad", +"confectionery, confectionary, candy store", +"container ship, containership, container vessel", +"convertible", +"corkscrew, bottle screw", +"cornet, horn, trumpet, trump", +"cowboy boot", +"cowboy hat, ten-gallon hat", +"cradle", +"crane", +"crash helmet", +"crate", +"crib, cot", +"Crock Pot", +"croquet ball", +"crutch", +"cuirass", +"dam, dike, dyke", +"desk", +"desktop computer", +"dial telephone, dial phone", +"diaper, nappy, napkin", +"digital clock", +"digital watch", +"dining table, board", +"dishrag, dishcloth", +"dishwasher, dish washer, dishwashing machine", +"disk brake, disc brake", +"dock, dockage, docking facility", +"dogsled, dog sled, dog sleigh", +"dome", +"doormat, welcome mat", +"drilling platform, offshore rig", +"drum, membranophone, tympan", +"drumstick", +"dumbbell", +"Dutch oven", +"electric fan, blower", +"electric guitar", +"electric locomotive", +"entertainment center", +"envelope", +"espresso maker", +"face powder", +"feather boa, boa", +"file, file cabinet, filing cabinet", +"fireboat", +"fire engine, fire truck", +"fire screen, fireguard", +"flagpole, flagstaff", +"flute, transverse flute", +"folding chair", +"football helmet", +"forklift", +"fountain", +"fountain pen", +"four-poster", +"freight car", +"French horn, horn", +"frying pan, frypan, skillet", +"fur coat", +"garbage truck, dustcart", +"gasmask, respirator, gas helmet", +"gas pump, gasoline pump, petrol pump, island dispenser", +"goblet", +"go-kart", +"golf ball", +"golfcart, golf cart", +"gondola", +"gong, tam-tam", +"gown", +"grand piano, grand", +"greenhouse, nursery, glasshouse", +"grille, radiator grille", +"grocery store, grocery, food market, market", +"guillotine", +"hair slide", +"hair spray", +"half track", +"hammer", +"hamper", +"hand blower, blow dryer, blow drier, hair dryer, hair drier", +"hand-held computer, hand-held microcomputer", +"handkerchief, hankie, hanky, hankey", +"hard disc, hard disk, fixed disk", +"harmonica, mouth organ, harp, mouth harp", +"harp", +"harvester, reaper", +"hatchet", +"holster", +"home theater, home theatre", +"honeycomb", +"hook, claw", +"hoopskirt, crinoline", +"horizontal bar, high bar", +"horse cart, horse-cart", +"hourglass", +"iPod", +"iron, smoothing iron", +"jack-o'-lantern", +"jean, blue jean, denim", +"jeep, landrover", +"jersey, T-shirt, tee shirt", +"jigsaw puzzle", +"jinrikisha, ricksha, rickshaw", +"joystick", +"kimono", +"knee pad", +"knot", +"lab coat, laboratory coat", +"ladle", +"lampshade, lamp shade", +"laptop, laptop computer", +"lawn mower, mower", +"lens cap, lens cover", +"letter opener, paper knife, paperknife", +"library", +"lifeboat", +"lighter, light, igniter, ignitor", +"limousine, limo", +"liner, ocean liner", +"lipstick, lip rouge", +"Loafer", +"lotion", +"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system", +"loupe, jeweler's loupe", +"lumbermill, sawmill", +"magnetic compass", +"mailbag, postbag", +"mailbox, letter box", +"maillot", +"maillot, tank suit", +"manhole cover", +"maraca", +"marimba, xylophone", +"mask", +"matchstick", +"maypole", +"maze, labyrinth", +"measuring cup", +"medicine chest, medicine cabinet", +"megalith, megalithic structure", +"microphone, mike", +"microwave, microwave oven", +"military uniform", +"milk can", +"minibus", +"miniskirt, mini", +"minivan", +"missile", +"mitten", +"mixing bowl", +"mobile home, manufactured home", +"Model T", +"modem", +"monastery", +"monitor", +"moped", +"mortar", +"mortarboard", +"mosque", +"mosquito net", +"motor scooter, scooter", +"mountain bike, all-terrain bike, off-roader", +"mountain tent", +"mouse, computer mouse", +"mousetrap", +"moving van", +"muzzle", +"nail", +"neck brace", +"necklace", +"nipple", +"notebook, notebook computer", +"obelisk", +"oboe, hautboy, hautbois", +"ocarina, sweet potato", +"odometer, hodometer, mileometer, milometer", +"oil filter", +"organ, pipe organ", +"oscilloscope, scope, cathode-ray oscilloscope, CRO", +"overskirt", +"oxcart", +"oxygen mask", +"packet", +"paddle, boat paddle", +"paddlewheel, paddle wheel", +"padlock", +"paintbrush", +"pajama, pyjama, pj's, jammies", +"palace", +"panpipe, pandean pipe, syrinx", +"paper towel", +"parachute, chute", +"parallel bars, bars", +"park bench", +"parking meter", +"passenger car, coach, carriage", +"patio, terrace", +"pay-phone, pay-station", +"pedestal, plinth, footstall", +"pencil box, pencil case", +"pencil sharpener", +"perfume, essence", +"Petri dish", +"photocopier", +"pick, plectrum, plectron", +"pickelhaube", +"picket fence, paling", +"pickup, pickup truck", +"pier", +"piggy bank, penny bank", +"pill bottle", +"pillow", +"ping-pong ball", +"pinwheel", +"pirate, pirate ship", +"pitcher, ewer", +"plane, carpenter's plane, woodworking plane", +"planetarium", +"plastic bag", +"plate rack", +"plow, plough", +"plunger, plumber's helper", +"Polaroid camera, Polaroid Land camera", +"pole", +"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria", +"poncho", +"pool table, billiard table, snooker table", +"pop bottle, soda bottle", +"pot, flowerpot", +"potter's wheel", +"power drill", +"prayer rug, prayer mat", +"printer", +"prison, prison house", +"projectile, missile", +"projector", +"puck, hockey puck", +"punching bag, punch bag, punching ball, punchball", +"purse", +"quill, quill pen", +"quilt, comforter, comfort, puff", +"racer, race car, racing car", +"racket, racquet", +"radiator", +"radio, wireless", +"radio telescope, radio reflector", +"rain barrel", +"recreational vehicle, RV, R.V.", +"reel", +"reflex camera", +"refrigerator, icebox", +"remote control, remote", +"restaurant, eating house, eating place, eatery", +"revolver, six-gun, six-shooter", +"rifle", +"rocking chair, rocker", +"rotisserie", +"rubber eraser, rubber, pencil eraser", +"rugby ball", +"rule, ruler", +"running shoe", +"safe", +"safety pin", +"saltshaker, salt shaker", +"sandal", +"sarong", +"sax, saxophone", +"scabbard", +"scale, weighing machine", +"school bus", +"schooner", +"scoreboard", +"screen, CRT screen", +"screw", +"screwdriver", +"seat belt, seatbelt", +"sewing machine", +"shield, buckler", +"shoe shop, shoe-shop, shoe store", +"shoji", +"shopping basket", +"shopping cart", +"shovel", +"shower cap", +"shower curtain", +"ski", +"ski mask", +"sleeping bag", +"slide rule, slipstick", +"sliding door", +"slot, one-armed bandit", +"snorkel", +"snowmobile", +"snowplow, snowplough", +"soap dispenser", +"soccer ball", +"sock", +"solar dish, solar collector, solar furnace", +"sombrero", +"soup bowl", +"space bar", +"space heater", +"space shuttle", +"spatula", +"speedboat", +"spider web, spider's web", +"spindle", +"sports car, sport car", +"spotlight, spot", +"stage", +"steam locomotive", +"steel arch bridge", +"steel drum", +"stethoscope", +"stole", +"stone wall", +"stopwatch, stop watch", +"stove", +"strainer", +"streetcar, tram, tramcar, trolley, trolley car", +"stretcher", +"studio couch, day bed", +"stupa, tope", +"submarine, pigboat, sub, U-boat", +"suit, suit of clothes", +"sundial", +"sunglass", +"sunglasses, dark glasses, shades", +"sunscreen, sunblock, sun blocker", +"suspension bridge", +"swab, swob, mop", +"sweatshirt", +"swimming trunks, bathing trunks", +"swing", +"switch, electric switch, electrical switch", +"syringe", +"table lamp", +"tank, army tank, armored combat vehicle, armoured combat vehicle", +"tape player", +"teapot", +"teddy, teddy bear", +"television, television system", +"tennis ball", +"thatch, thatched roof", +"theater curtain, theatre curtain", +"thimble", +"thresher, thrasher, threshing machine", +"throne", +"tile roof", +"toaster", +"tobacco shop, tobacconist shop, tobacconist", +"toilet seat", +"torch", +"totem pole", +"tow truck, tow car, wrecker", +"toyshop", +"tractor", +"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi", +"tray", +"trench coat", +"tricycle, trike, velocipede", +"trimaran", +"tripod", +"triumphal arch", +"trolleybus, trolley coach, trackless trolley", +"trombone", +"tub, vat", +"turnstile", +"typewriter keyboard", +"umbrella", +"unicycle, monocycle", +"upright, upright piano", +"vacuum, vacuum cleaner", +"vase", +"vault", +"velvet", +"vending machine", +"vestment", +"viaduct", +"violin, fiddle", +"volleyball", +"waffle iron", +"wall clock", +"wallet, billfold, notecase, pocketbook", +"wardrobe, closet, press", +"warplane, military plane", +"washbasin, handbasin, washbowl, lavabo, wash-hand basin", +"washer, automatic washer, washing machine", +"water bottle", +"water jug", +"water tower", +"whiskey jug", +"whistle", +"wig", +"window screen", +"window shade", +"Windsor tie", +"wine bottle", +"wing", +"wok", +"wooden spoon", +"wool, woolen, woollen", +"worm fence, snake fence, snake-rail fence, Virginia fence", +"wreck", +"yawl", +"yurt", +"web site, website, internet site, site", +"comic book", +"crossword puzzle, crossword", +"street sign", +"traffic light, traffic signal, stoplight", +"book jacket, dust cover, dust jacket, dust wrapper", +"menu", +"plate", +"guacamole", +"consomme", +"hot pot, hotpot", +"trifle", +"ice cream, icecream", +"ice lolly, lolly, lollipop, popsicle", +"French loaf", +"bagel, beigel", +"pretzel", +"cheeseburger", +"hotdog, hot dog, red hot", +"mashed potato", +"head cabbage", +"broccoli", +"cauliflower", +"zucchini, courgette", +"spaghetti squash", +"acorn squash", +"butternut squash", +"cucumber, cuke", +"artichoke, globe artichoke", +"bell pepper", +"cardoon", +"mushroom", +"Granny Smith", +"strawberry", +"orange", +"lemon", +"fig", +"pineapple, ananas", +"banana", +"jackfruit, jak, jack", +"custard apple", +"pomegranate", +"hay", +"carbonara", +"chocolate sauce, chocolate syrup", +"dough", +"meat loaf, meatloaf", +"pizza, pizza pie", +"potpie", +"burrito", +"red wine", +"espresso", +"cup", +"eggnog", +"alp", +"bubble", +"cliff, drop, drop-off", +"coral reef", +"geyser", +"lakeside, lakeshore", +"promontory, headland, head, foreland", +"sandbar, sand bar", +"seashore, coast, seacoast, sea-coast", +"valley, vale", +"volcano", +"ballplayer, baseball player", +"groom, bridegroom", +"scuba diver", +"rapeseed", +"daisy", +"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum", +"corn", +"acorn", +"hip, rose hip, rosehip", +"buckeye, horse chestnut, conker", +"coral fungus", +"agaric", +"gyromitra", +"stinkhorn, carrion fungus", +"earthstar", +"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa", +"bolete", +"ear, spike, capitulum", +"toilet tissue, toilet paper, bathroom tissue" +]; +} \ No newline at end of file diff --git a/samples/electron-winml/winMlAddon/Utils/Prediction.cs b/samples/electron-winml/winMlAddon/Utils/Prediction.cs new file mode 100644 index 0000000..191a099 --- /dev/null +++ b/samples/electron-winml/winMlAddon/Utils/Prediction.cs @@ -0,0 +1,41 @@ +using Microsoft.JavaScript.NodeApi; + +namespace winMlAddon; + +[JSExport] +public class Prediction +{ + [JSExport] + public Box? Box { get; set; } + + [JSExport] + public string Label { get; set; } + + [JSExport] + public float Confidence { get; set; } +} + +[JSExport] +public class Box +{ + [JSExport] + public float Xmin { get; set; } + + [JSExport] + public float Ymin { get; set; } + + [JSExport] + public float Xmax { get; set; } + + [JSExport] + public float Ymax { get; set; } + + [JSExport] + public Box(float xmin, float ymin, float xmax, float ymax) + { + Xmin = xmin; + Ymin = ymin; + Xmax = xmax; + Ymax = ymax; + } +} \ No newline at end of file diff --git a/samples/electron-winml/winMlAddon/Utils/WinMLHelpers.cs b/samples/electron-winml/winMlAddon/Utils/WinMLHelpers.cs new file mode 100644 index 0000000..8fc5ea9 --- /dev/null +++ b/samples/electron-winml/winMlAddon/Utils/WinMLHelpers.cs @@ -0,0 +1,159 @@ +using Microsoft.ML.OnnxRuntime; +using System; +using System.Collections.Generic; +using System.Diagnostics; +using System.IO; +using System.Linq; + +namespace winMlAddon; + +internal static class WinMLHelpers +{ + public static bool AppendExecutionProviderFromEpName(this SessionOptions sessionOptions, string epName, string? deviceType, OrtEnv? environment = null) + { + if (epName == "CPU") + { + // No need to append CPU execution provider + return true; + } + + environment ??= OrtEnv.Instance(); + var epDeviceMap = GetEpDeviceMap(environment); + + if (epDeviceMap.TryGetValue(epName, out var devices)) + { + Dictionary epOptions = new(StringComparer.OrdinalIgnoreCase); + switch (epName) + { + case "DmlExecutionProvider": + // Configure performance mode for Dml EP + // Dml some times have multiple devices which cause exception, we pick the first one here + sessionOptions.AppendExecutionProvider(environment, [devices[0]], epOptions); + return true; + case "OpenVINOExecutionProvider": + var device = devices.Where(d => d.HardwareDevice.Type.ToString().Equals(deviceType, StringComparison.Ordinal)).FirstOrDefault(); + sessionOptions.AppendExecutionProvider(environment, [device], epOptions); + return true; + case "QNNExecutionProvider": + // Configure performance mode for QNN EP + epOptions["htp_performance_mode"] = "high_performance"; + break; + default: + break; + } + + sessionOptions.AppendExecutionProvider(environment, devices, epOptions); + return true; + } + + return false; + } + + public static string? GetCompiledModel(this SessionOptions sessionOptions, string modelPath, string device) + { + if (IsCompileModelSupported(device) == false) + { + return null; + } + + var compiledModelPath = Path.Combine(Path.GetDirectoryName(modelPath) ?? string.Empty, Path.GetFileNameWithoutExtension(modelPath)) + $".{device}.onnx"; + + if (!File.Exists(compiledModelPath)) + { + try + { + using OrtModelCompilationOptions compilationOptions = new(sessionOptions); + compilationOptions.SetInputModelPath(modelPath); + compilationOptions.SetOutputModelPath(compiledModelPath); + compilationOptions.CompileModel(); + } + catch (Exception ex) + { + Debug.WriteLine($"WARNING: Model compilation failed for {device}: {ex.Message}"); + + // Clean up any empty or corrupted files that may have been created + if (File.Exists(compiledModelPath)) + { + try + { + File.Delete(compiledModelPath); + Debug.WriteLine($"Deleted corrupted compiled model file: {compiledModelPath}"); + } + catch + { + // Ignore deletion errors + } + } + + return null; + } + } + + // Validate that the compiled model file exists and is not empty + if (File.Exists(compiledModelPath)) + { + var fileInfo = new FileInfo(compiledModelPath); + if (fileInfo.Length > 0) + { + return compiledModelPath; + } + } + + return null; + } + + public static Dictionary> GetEpDeviceMap(OrtEnv? environment = null) + { + environment ??= OrtEnv.Instance(); + IReadOnlyList epDevices = environment.GetEpDevices(); + Dictionary> epDeviceMap = new(StringComparer.OrdinalIgnoreCase); + + foreach (OrtEpDevice device in epDevices) + { + string name = device.EpName; + + if (!epDeviceMap.TryGetValue(name, out List? value)) + { + value = []; + epDeviceMap[name] = value; + } + + value.Add(device); + } + + return epDeviceMap; + } + + /// + /// Determines whether model compilation should be surfaced based on device type. + /// + /// Device type string (e.g., "CPU", "GPU", "NPU"). + /// False for CPU; true for other known accelerator types. + public static bool IsCompileModelSupported(string? deviceType) + { + if (string.IsNullOrWhiteSpace(deviceType)) + { + return false; + } + + // NOTE: Skip compilation for the CPU execution provider. + // - EPContext is an EP-specific offline-compiled/partitioned graph artifact that requires the + // execution provider to implement serialization/deserialization of its optimized graph. + // - ONNX Runtime's CPU EP does NOT implement EPContext model generation or loading. Invoking + // OrtModelCompilationOptions.CompileModel() for CPU attempts to emit a "*.CPU.onnx" EPContext + // artifact, which fails (commonly with InvalidProtobuf) because no EPContext is produced/understood + // by the CPU EP. + // Behavior: + // - For CPU, we return null here so callers fall back to the original ONNX model without attempting + // EPContext compilation. + // - Other EPs (e.g., DirectML, OpenVINO, QNN) may support EPContext depending on the ORT build, + // platform drivers, and hardware; for those we allow compilation to proceed. + if (string.Equals(deviceType, "CPU", StringComparison.OrdinalIgnoreCase)) + { + return false; + } + + return string.Equals(deviceType, "GPU", StringComparison.OrdinalIgnoreCase) + || string.Equals(deviceType, "NPU", StringComparison.OrdinalIgnoreCase); + } +} \ No newline at end of file diff --git a/samples/electron-winml/winMlAddon/addon.cs b/samples/electron-winml/winMlAddon/addon.cs new file mode 100644 index 0000000..f7b9823 --- /dev/null +++ b/samples/electron-winml/winMlAddon/addon.cs @@ -0,0 +1,198 @@ +using System; +using System.Drawing; +using System.Reflection; +using System.Runtime.InteropServices; +using Microsoft.JavaScript.NodeApi; + +using Microsoft.ML.OnnxRuntime; +using Microsoft.ML.OnnxRuntime.Tensors; + +namespace winMlAddon; + +/// +/// Sample C# addon for Node.js using node-api-dotnet. +/// This class demonstrates how to export C# methods to JavaScript. +/// +[JSExport] +public class Addon +{ + private InferenceSession? _inferenceSession; + private string _projectRoot; + private Addon(string projectRoot) + { + _projectRoot = projectRoot; + } + + [JSExport] + public static async Task CreateAsync(string projectRoot) + { + if (!Path.Exists(projectRoot)) + { + throw new Exception("Project root is invalid."); + } + + var addon = new Addon(projectRoot); + addon.PreloadNativeDependencies(); + + string modelPath = Path.Join(projectRoot, "models", @"squeezenet1.1-7.onnx"); + await addon.InitModel(modelPath, ExecutionProviderDevicePolicy.DEFAULT, null, false, null); + + return addon; + } + + [JSExport] + public async Task ClassifyImage(string imagePath) + { + // InitializeWindowsAppRuntimeInUnpackagedApp(2, 0, "experimental3"); + + if (_inferenceSession == null) + { + throw new Exception("Model is not loaded."); + } + + if (!Path.Exists(imagePath)) + { + throw new Exception("Image path is invalid."); + } + + // Grab model metadata + var inputName = _inferenceSession.InputNames[0]; + var inputMetadata = _inferenceSession.InputMetadata[inputName]; + var dimensions = inputMetadata.Dimensions; + + // Set batch size to 1 + int batchSize = 1; + dimensions[0] = batchSize; + + int inputWidth = dimensions[2]; + int inputHeight = dimensions[3]; + + var predictions = await Task.Run(() => + { + Bitmap image = new(imagePath); + + // Resize image + var resizedImage = BitmapFunctions.ResizeBitmap(image, inputWidth, inputHeight); + image.Dispose(); + image = resizedImage; + + // Preprocess image + Tensor input = new DenseTensor(dimensions); + input = BitmapFunctions.PreprocessBitmapWithStdDev(image, input); + image.Dispose(); + + // Setup inputs + var inputs = new List + { + NamedOnnxValue.CreateFromTensor(inputName, input) + }; + + // Run inference + using IDisposableReadOnlyCollection results = _inferenceSession!.Run(inputs); + + // Postprocess to get softmax vector + IEnumerable output = results[0].AsEnumerable(); + return ImageNet.GetSoftmax(output); + }); + + + // Placeholder for image classification logic using _inferenceSession + // In a real implementation, you would load the image, preprocess it, + // run inference, and return the classification result. + + return predictions; + } + + public static void InitializeWindowsAppRuntimeInUnpackagedApp( + int majorVersion, + int minorVersion, + string versionTag) + { + Microsoft.Windows.ApplicationModel.DynamicDependency.Bootstrap.Initialize( + ((uint)majorVersion) << 16 | (uint)minorVersion, + versionTag); + } + + private Task InitModel(string modelPath, ExecutionProviderDevicePolicy? policy, string? epName, bool compileModel, string? deviceType) + { + return Task.Run(async () => + { + if (_inferenceSession != null) + { + return; + } + + var catalog = Microsoft.Windows.AI.MachineLearning.ExecutionProviderCatalog.GetDefault(); + + try + { + var registeredProviders = await catalog.EnsureAndRegisterCertifiedAsync(); + } + catch (Exception ex) + { + throw new Exception($"WARNING: Failed to install packages: {ex.Message}"); + } + + SessionOptions sessionOptions = new(); + sessionOptions.RegisterOrtExtensions(); + + if (policy != null) + { + sessionOptions.SetEpSelectionPolicy(policy.Value); + } + else if (epName != null) + { + sessionOptions.AppendExecutionProviderFromEpName(epName, deviceType); + + if (compileModel) + { + modelPath = sessionOptions.GetCompiledModel(modelPath, epName) ?? modelPath; + } + } + + _inferenceSession = new InferenceSession(modelPath, sessionOptions); + }); + } + + public void PreloadNativeDependencies() + { + + // 1. Get the folder where THIS .NET assembly lives (your bin folder) + string assemblyDir = Path.Join(_projectRoot, "winMlAddon", "dist"); + + Console.WriteLine($"Initializing {assemblyDir}"); + + // 2. Define the critical DLLs to preload + string[] dllsToLoad = new[] + { + "ortextensions.dll", // extensions for ONNX Runtime + // "Microsoft.WindowsAppRuntime.Bootstrap.dll" // if using unpackaged + }; + + foreach (var dllName in dllsToLoad) + { + string fullPath = Path.Combine(assemblyDir, dllName); + Console.WriteLine($"Attempting to preload: {fullPath}"); + + if (File.Exists(fullPath)) + { + // Load it into the process address space + IntPtr handle = NativeLibrary.Load(fullPath); + if (handle != IntPtr.Zero) + { + Console.WriteLine($"[Success] Pre-loaded: {dllName}"); + } + else + { + Console.WriteLine($"[Error] Found but failed to load: {dllName} (Architecture mismatch?)"); + } + } + else + { + // If it's not in the bin folder, it might be in 'runtimes/win-x64/native' + // You might need to adjust the path search here + Console.WriteLine($"[Warning] Could not find file to preload: {fullPath}"); + } + } + } +} diff --git a/samples/electron-winml/winMlAddon/winMlAddon.csproj b/samples/electron-winml/winMlAddon/winMlAddon.csproj new file mode 100644 index 0000000..2fb4890 --- /dev/null +++ b/samples/electron-winml/winMlAddon/winMlAddon.csproj @@ -0,0 +1,32 @@ + + + net10.0-windows10.0.26100.0 + Library + false + winMlAddon + true + enable + enable + + win-arm64 + win-x64 + win-x86 + CommonJs + + + true + true + dist + + + + + + + + + + + + diff --git a/samples/electron-winml/winapp.yaml b/samples/electron-winml/winapp.yaml new file mode 100644 index 0000000..5036ac2 --- /dev/null +++ b/samples/electron-winml/winapp.yaml @@ -0,0 +1,15 @@ +packages: + - name: Microsoft.Windows.CppWinRT + version: 2.0.250303.1 + - name: Microsoft.Windows.SDK.BuildTools + version: 10.0.26100.7175 + - name: Microsoft.WindowsAppSDK + version: 2.0.0-experimental3 + - name: Microsoft.Windows.ImplementationLibrary + version: 1.0.250325.1 + - name: Microsoft.Windows.SDK.CPP + version: 10.0.26100.7175 + - name: Microsoft.Windows.SDK.CPP.x64 + version: 10.0.26100.7175 + - name: Microsoft.Windows.SDK.CPP.arm64 + version: 10.0.26100.7175 diff --git a/samples/electron/README.md b/samples/electron/README.md index 97b1384..32d4697 100644 --- a/samples/electron/README.md +++ b/samples/electron/README.md @@ -2,6 +2,14 @@ This sample demonstrates usage of the @microsoft/winappcli npm package with an Electron app. +## Prerequisites + +- **Windows 11** or Windows 10 (version 1809+) +- **Node.js** - `winget install OpenJS.NodeJS` +- **.NET SDK v10** - `winget install Microsoft.DotNet.SDK.10` +- **Visual Studio with the Native Desktop Workload** - `winget install --id Microsoft.VisualStudio.Community --source winget --override "--add Microsoft.VisualStudio.Workload.NativeDesktop --includeRecommended --passive --wait"` +- **Python** - `winget install Python.PythonInstallManager` + ## ๐Ÿš€ Quick Start: How to build and run the sample Here's how you can build, package, deploy, and run the sample (more detail in below sections): @@ -11,26 +19,14 @@ Here's how you can build, package, deploy, and run the sample (more detail in be pwsh cd \samples\electron -# Build the winapp CLI -..\..\build-cli.ps1 - # Install/restore the project dependencies npm install -# FOR ARM64 ONLY: Build and create the MSIX package -npm run package-msix - -# FOR x64 ONLY: Build and create the MSIX package -npm run package-msix:x64 - -# Install your dev cert if you haven't already (If Sudo isn't enabled, use an admin prompt) -sudo pwsh -c "npx winapp cert install .\devcert.pfx ; pause" - -# Deploy the MSIX to local machine -add-appxpackage out\electronwinappSample.msix +# Build the C++ and C# addons +npm run build-all -# Find "Electron winapp sample" in your start menu and run! -# (note that first launch will be slow) +# Run the sample +npm start ``` ## Overview @@ -55,9 +51,10 @@ a .node file that is trimmed and doesn't require the .net runtime to be installe ## Prerequisites -* Node.js -* Visual Studio 2022 for building the native component -* .Net 8 SDK for building the C# component +- **Windows 11** +- **Node.js** - `winget install OpenJS.NodeJS` +- **.NET SDK v10** - `Microsoft.DotNet.SDK.10` +- **Visual Studio with the Native Desktop Workload** - `winget install --id Microsoft.VisualStudio.Community --source winget --override "--add Microsoft.VisualStudio.Workload.NativeDesktop --includeRecommended --passive --wait"` Before running the sample, ensure the npm package has been built: diff --git a/samples/electron/package-lock.json b/samples/electron/package-lock.json index 035da96..fadac34 100644 --- a/samples/electron/package-lock.json +++ b/samples/electron/package-lock.json @@ -11,7 +11,7 @@ "license": "MIT", "dependencies": { "electron-squirrel-startup": "^1.0.1", - "node-api-dotnet": "^0.9.17" + "node-api-dotnet": "^0.9.18" }, "devDependencies": { "@electron-forge/cli": "^7.10.2", @@ -22,28 +22,11 @@ "@electron-forge/plugin-auto-unpack-natives": "^7.10.2", "@electron-forge/plugin-fuses": "^7.10.2", "@electron/fuses": "^1.8.0", - "@microsoft/winappcli": "file:../../src/winapp-npm", - "electron": "38.2.2", - 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