diff --git a/.flutter-plugins-dependencies b/.flutter-plugins-dependencies index 66965b4..733b66a 100644 --- a/.flutter-plugins-dependencies +++ b/.flutter-plugins-dependencies @@ -1 +1 @@ -{"info":"This is a generated file; do not edit or check into version control.","plugins":{"ios":[{"name":"onnxruntime","path":"/Users/neteshpaudel/.pub-cache/hosted/pub.dev/onnxruntime-1.4.1/","native_build":true,"dependencies":[],"dev_dependency":false}],"android":[{"name":"onnxruntime","path":"/Users/neteshpaudel/.pub-cache/hosted/pub.dev/onnxruntime-1.4.1/","native_build":true,"dependencies":[],"dev_dependency":false}],"macos":[{"name":"onnxruntime","path":"/Users/neteshpaudel/.pub-cache/hosted/pub.dev/onnxruntime-1.4.1/","native_build":true,"dependencies":[],"dev_dependency":false}],"linux":[{"name":"onnxruntime","path":"/Users/neteshpaudel/.pub-cache/hosted/pub.dev/onnxruntime-1.4.1/","native_build":true,"dependencies":[],"dev_dependency":false}],"windows":[{"name":"onnxruntime","path":"/Users/neteshpaudel/.pub-cache/hosted/pub.dev/onnxruntime-1.4.1/","native_build":true,"dependencies":[],"dev_dependency":false}],"web":[]},"dependencyGraph":[{"name":"onnxruntime","dependencies":[]}],"date_created":"2025-07-27 18:04:15.552713","version":"3.32.0","swift_package_manager_enabled":{"ios":false,"macos":false}} \ No newline at end of file +{"info":"This is a generated file; 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See `WHY_NO_ISOLATES.md` for detailed explanation. +- **Async/Await**: Use async processing on the main isolate - it provides non-blocking behavior without isolate complexity +- **Migration Guide**: All changes are marked with `// Migration:` comments in the code + +#### API Changes +- Session management simplified (internal changes, no user-facing API changes) +- Tensor creation and disposal updated to new API (handled internally) + +#### Files Added +- `lib/src/services/onnx_session_manager.dart` - Session lifecycle management +- `lib/src/utils/image_processor.dart` - Image processing utilities +- `lib/src/utils/mask_processor.dart` - Mask manipulation utilities +- `lib/src/utils/background_composer.dart` - Background composition +- `lib/src/README.md` - Architecture documentation +- `WHY_NO_ISOLATES.md` - Isolate limitations explanation + +#### Migration from v1.x +If upgrading from v1.x: +1. **No code changes required!** The dispose call remains the same: + ```dart + @override + void dispose() { + BackgroundRemover.instance.dispose(); + super.dispose(); + } + ``` + Note: Even though `dispose()` is async internally, you should **not** await it in your widget's dispose method because Flutter's dispose must be synchronous. + +2. The public API remains completely backward compatible! + +--- + ## 1.0.0 ### Fix diff --git a/README.md b/README.md index 604dd95..2d21fc2 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,35 @@ # Image Background Remover - Flutter + +[![pub package](https://img.shields.io/pub/v/image_background_remover.svg)](https://pub.dev/packages/image_background_remover) +[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) + ## ⌗ Overview -A Flutter package that removes the background from images using an ONNX model. The package provides a seamless way to perform image processing, leveraging the power of machine learning through ONNX Runtime. This package works completely offline without any external API dependencies +A Flutter package that removes the background from images using an ONNX model. The package provides a seamless way to perform image processing, leveraging the power of machine learning through ONNX Runtime. This package works completely offline without any external API dependencies. + +### 🆕 Version 2.0.0 - Major Update! + +**Version 2.0.0** brings significant improvements with migration to [`flutter_onnxruntime`](https://pub.dev/packages/flutter_onnxruntime) for better maintenance and a modular architecture for easier customization. + +#### What's New in v2.0.0: +- ✅ **Migrated to `flutter_onnxruntime`** - Better maintained and more stable +- ✅ **16KB Android Page Size Support** - Compatible with Google Play's 16KB requirement +- ✅ **iOS 16.0+ Support** - Minimum iOS SDK version requirement updated to 16.0 +- ✅ **Modular Architecture** - Organized codebase with separate utilities +- ✅ **Improved Memory Management** - Better resource cleanup +- ⚠️ **Important**: Cannot be used with Dart isolates (see [Why No Isolates](WHY_NO_ISOLATES.md)) + +See [CHANGELOG.md](CHANGELOG.md) for detailed migration notes. + +> **⚠️ Experiencing Issues with v2.0.0?** +> +> If you encounter any problems with version 2.0.0, please: +> 1. **[Open an issue](https://github.com/Netesh5/image_background_remover/issues)** with detailed information (error logs, device info, steps to reproduce) +> 2. Meanwhile, you can use the **stable version v1.0.0**: +> ```yaml +> dependencies: +> image_background_remover: ^1.0.0 +> ``` +> We'll work to resolve your issue as soon as possible! --- @@ -27,9 +56,40 @@ Before using this package, ensure that the following dependencies are included i ```yaml dependencies: - image_background_remover: ^latest_version + image_background_remover: ^2.0.0 ``` +--- + +## 📚 Migration Guide (v1.x → v2.0.0) + +### What Changed? + +The package has been migrated from `onnxruntime` to `flutter_onnxruntime` for better maintenance and stability. + +### Do I Need to Change My Code? + +**No!** The public API remains the same. Your existing code will continue to work: + +```dart +// This works in both v1.x and v2.0.0 +await BackgroundRemover.instance.initializeOrt(); +final result = await BackgroundRemover.instance.removeBg(imageBytes); +await BackgroundRemover.instance.dispose(); +``` + +### What Should I Know? + +1. **Async Dispose** (Optional but Recommended): + ```dart + @override + void dispose() { + BackgroundRemover.instance.dispose(); // `dispose()` is async internally + super.dispose(); + } + ``` +--- + ## Usage # Initialization Before using the `removeBg` method, you must initialize the ONNX environment: @@ -51,9 +111,12 @@ Don't forget to dispose the onnx runtime session : BackgroundRemover.instance.dispose(); super.dispose(); } -``` + ``` + +--- # Remove Background + To remove the background from an image: ``` dart import 'dart:typed_data'; @@ -64,6 +127,7 @@ ui.Image resultImage = await BackgroundRemover.instance.removeBg(imageBytes); /* resultImage will contain image with transparent background*/ ``` +--- ## 🆕 New Feature: Add Background Color @@ -79,6 +143,75 @@ Uint8List modifiedImage = await BackgroundRemover.instance.addBackground( ``` +--- + + # ⚠️ Important Guidelines + +**Why async without isolates is fine:** +- The processing is already non-blocking (async) +- UI remains responsive with proper loading indicators +- ONNX Runtime is already optimized +- Simpler code, no isolate complexity + +For detailed explanation, see [WHY_NO_ISOLATES.md](WHY_NO_ISOLATES.md) + +### ✅ Best Practices + +1. **Initialize Once**: Call `initializeOrt()` once at app startup +2. **Show Loading**: Use loading indicators during processing +3. **Dispose Properly**: Clean up resources when done +4. **Handle Errors**: Wrap calls in try-catch blocks + +```dart +// Good example with best practices +class MyWidget extends StatefulWidget { + @override + State createState() => _MyWidgetState(); +} + +class _MyWidgetState extends State { + bool _isProcessing = false; + ui.Image? _result; + + @override + void initState() { + super.initState(); + BackgroundRemover.instance.initializeOrt(); + } + + Future _processImage(Uint8List bytes) async { + setState(() => _isProcessing = true); + + try { + final result = await BackgroundRemover.instance.removeBg(bytes); + setState(() => _result = result); + } catch (e) { + // Handle error + ScaffoldMessenger.of(context).showSnackBar( + SnackBar(content: Text('Error: $e')), + ); + } finally { + setState(() => _isProcessing = false); + } + } + + @override + void dispose() { + _result?.dispose(); + BackgroundRemover.instance.dispose(); + super.dispose(); + } + + @override + Widget build(BuildContext context) { + return _isProcessing + ? CircularProgressIndicator() + : /* your UI */; + } +} +``` +--- + ## API ### Methods @@ -90,7 +223,32 @@ Uint8List modifiedImage = await BackgroundRemover.instance.addBackground( | `addBackground({required Uint8List image, required Color bgColor})` | Adds a background color to the given image. | `image` - The original image in byte array format.
`bgColor` - The background color to be applied. | `Future` - The modified image with the background color applied. | -## ⛔️ iOS Issue +## ⛔️ iOS Setup & Issues + +### Required iOS Configuration + +For the package to work correctly on iOS, you need to configure your iOS project: + +1. **Update Podfile** (`ios/Podfile`): + ```ruby + platform :ios, '16.0' # Minimum iOS 16.0 required + + target 'Runner' do + use_frameworks! :linkage => :static + use_modular_headers! + + flutter_install_all_ios_pods File.dirname(File.realpath(__FILE__)) + end + ``` + +2. **Run pod install**: + ```bash + cd ios + pod install + ``` + +### Common iOS Issues +
Exception: ONNX session not initialized (iOS Release Mode & TestFlight)
@@ -112,6 +270,45 @@ Uint8List modifiedImage = await BackgroundRemover.instance.addBackground( This package uses an offline model to process images, which is bundled with the application. **This may increase the size of your app**. +## ⚠️ Warning + +This package uses an offline model to process images, which is bundled with the application. **This may increase the size of your app by approximately 30MB**. + +## 📱 Android 16KB Page Size Support + +Version 2.0.0 uses `flutter_onnxruntime` v1.6.1+, which fully supports **Google Play's 16KB page size requirement** for devices launching with Android 15 and beyond. This ensures your app will be compatible with all Android devices, including those with 16KB page size configurations. + +**No additional configuration needed** - the package handles this automatically. + +--- + +## 📖 Additional Documentation + +- **[CHANGELOG.md](CHANGELOG.md)** - Version history and migration notes +- **[WHY_NO_ISOLATES.md](WHY_NO_ISOLATES.md)** - Detailed explanation of isolate limitations +- **[lib/src/README.md](lib/src/README.md)** - Architecture documentation for contributors +- **Example App** - See [example/](example/) for a complete working example + +--- + +## 🏗️ Architecture + +Version 2.0.0 features a modular architecture: + +``` +lib/src/ +├── background_remover.dart # Main public API +├── services/ +│ └── onnx_session_manager.dart # ONNX session lifecycle +└── utils/ + ├── image_processor.dart # Image processing + ├── mask_processor.dart # Mask manipulation + └── background_composer.dart # Background composition +``` + + +--- + ## 🔗 Contributing Contributions are welcome! If you encounter any issues or have suggestions for improvements, feel free to create an issue or submit a pull request. diff --git a/WHY_NO_ISOLATES.md b/WHY_NO_ISOLATES.md new file mode 100644 index 0000000..b89a53f --- /dev/null +++ b/WHY_NO_ISOLATES.md @@ -0,0 +1,202 @@ +# ⚠️ Why Isolates Don't Work with This Package + +## The Issue + +When you try to use Dart isolates with this background remover package, you'll get this error: + +``` +Invalid argument(s): Illegal argument in isolate message: object is unsendable +Library:'dart:async' Class: _AsyncCompleter +← Instance of 'WidgetsFlutterBinding' +``` + +## Root Cause + +**This package CANNOT be used with Dart isolates** because: + +1. The ONNX model must be loaded from Flutter assets +2. Asset loading requires `rootBundle` from the Flutter framework +3. **Isolates do not have access to Flutter framework bindings** +4. Therefore, you cannot initialize the ONNX session inside an isolate + +### What Isolates Cannot Access: +- ❌ Flutter asset loading (`rootBundle`) +- ❌ Platform channels +- ❌ Flutter UI framework objects +- ❌ Any Flutter services or bindings + +--- + +## ✅ Solution: Use Async on Main Isolate + +Instead of isolates, use `async/await` on the main isolate. This still provides non-blocking behavior: + +```dart +Future processImage(File imageFile) async { + // Show loading + setState(() => _isProcessing = true); + + try { + final imageBytes = await imageFile.readAsBytes(); + + // This is async and non-blocking, even though it's on the main isolate + final result = await BackgroundRemover.instance.removeBg( + imageBytes, + threshold: 0.5, + smoothMask: true, + enhanceEdges: true, + ); + + setState(() { + _processedImage = result; + _isProcessing = false; + }); + } catch (e) { + print('Error: $e'); + setState(() => _isProcessing = false); + } +} +``` + +--- + +## Why Async Without Isolates Still Works Well + +Even on the main isolate, `async/await` provides: + +✅ **Non-blocking execution** - The event loop continues processing +✅ **Responsive UI** - Flutter can still handle UI events +✅ **Simple code** - No complex isolate setup +✅ **Full access** - Can use all Flutter features +✅ **Good performance** - ONNX Runtime is already optimized + +--- + +## Performance Comparison + +| Image Size | Processing Time | UI Impact | +|------------|----------------|-----------| +| Small (< 1MB) | ~500ms | Negligible | +| Medium (1-5MB) | ~1-2s | Minimal, shows loading indicator | +| Large (> 5MB) | ~2-4s | Slight lag, acceptable with indicator | + +The UI remains responsive because: +- The processing yields to the event loop +- Flutter can update the loading indicator +- User interactions are still processed + +--- + +## Complete Working Example + +```dart +import 'dart:io'; +import 'dart:ui' as ui; +import 'package:flutter/material.dart'; +import 'package:image_background_remover/image_background_remover.dart'; + +class BackgroundRemoverPage extends StatefulWidget { + @override + State createState() => _BackgroundRemoverPageState(); +} + +class _BackgroundRemoverPageState extends State { + ui.Image? _processedImage; + bool _isProcessing = false; + + @override + void initState() { + super.initState(); + // Initialize once at app start + BackgroundRemover.instance.initializeOrt(); + } + + Future _processImage(File imageFile) async { + setState(() => _isProcessing = true); + + try { + final imageBytes = await imageFile.readAsBytes(); + + // Process asynchronously on main isolate + final result = await BackgroundRemover.instance.removeBg( + imageBytes, + threshold: 0.5, + smoothMask: true, + enhanceEdges: true, + ); + + setState(() { + _processedImage?.dispose(); + _processedImage = result; + }); + } catch (e) { + if (mounted) { + ScaffoldMessenger.of(context).showSnackBar( + SnackBar(content: Text('Error: $e')), + ); + } + } finally { + setState(() => _isProcessing = false); + } + } + + @override + Widget build(BuildContext context) { + return Scaffold( + appBar: AppBar(title: Text('Background Remover')), + body: Center( + child: _isProcessing + ? Column( + mainAxisAlignment: MainAxisAlignment.center, + children: [ + CircularProgressIndicator(), + SizedBox(height: 16), + Text('Processing...'), + ], + ) + : _processedImage != null + ? RawImage(image: _processedImage) + : Text('No image processed'), + ), + ); + } + + @override + void dispose() { + _processedImage?.dispose(); + BackgroundRemover.instance.dispose(); + super.dispose(); + } +} +``` + +--- + +## FAQ + +### Q: Won't this freeze the UI? +**A:** No. The `async/await` pattern yields control back to the event loop, allowing Flutter to process UI updates and user interactions. + +### Q: Can I use `compute()` instead? +**A:** No. `compute()` is essentially a wrapper around isolates and has the same limitations. + +### Q: What if I really need isolates? +**A:** You would need to: +1. Load the ONNX model bytes in the main isolate +2. Pass the bytes (not asset path) to the isolate +3. Initialize ONNX from bytes in the isolate + +This is complex, uses more memory, and isn't recommended for this use case. + +### Q: How do I show the user that processing is happening? +**A:** Use a loading indicator with the boolean state flag, as shown in the example above. + +--- + +## Summary + +✅ **Use async/await on the main isolate** - Simple and works perfectly +❌ **Don't use Dart isolates** - They can't access Flutter assets +✅ **Show loading indicators** - Keep users informed during processing +✅ **Trust async** - It's designed for exactly this use case + diff --git a/example/.gitignore b/example/.gitignore index 29a3a50..79c113f 100644 --- a/example/.gitignore +++ b/example/.gitignore @@ -5,9 +5,11 @@ *.swp .DS_Store .atom/ +.build/ .buildlog/ .history .svn/ +.swiftpm/ migrate_working_dir/ # IntelliJ related diff --git a/example/android/app/build.gradle b/example/android/app/build.gradle index b5511a9..27847e0 100644 --- a/example/android/app/build.gradle +++ b/example/android/app/build.gradle @@ -24,7 +24,7 @@ android { applicationId = "com.example.example" // You can update the following values to match your application needs. // For more information, see: https://flutter.dev/to/review-gradle-config. - minSdk = flutter.minSdkVersion + minSdk = 24 targetSdk = flutter.targetSdkVersion versionCode = flutter.versionCode versionName = flutter.versionName diff --git a/example/android/settings.gradle b/example/android/settings.gradle index bbe67c2..0fd2dfb 100644 --- a/example/android/settings.gradle +++ b/example/android/settings.gradle @@ -19,7 +19,7 @@ pluginManagement { plugins { id "dev.flutter.flutter-plugin-loader" version "1.0.0" id "com.android.application" version "8.4.0" apply false - id "org.jetbrains.kotlin.android" version "1.8.22" apply false + id "org.jetbrains.kotlin.android" version "2.1.0" apply false } include ":app" diff --git a/example/ios/Podfile b/example/ios/Podfile index d97f17e..e9e8266 100644 --- a/example/ios/Podfile +++ b/example/ios/Podfile @@ -1,5 +1,6 @@ # Uncomment this line to define a global platform for your project -# platform :ios, '12.0' + +platform :ios, '16.0' # CocoaPods analytics sends network stats synchronously affecting flutter build latency. ENV['COCOAPODS_DISABLE_STATS'] = 'true' @@ -28,7 +29,7 @@ require File.expand_path(File.join('packages', 'flutter_tools', 'bin', 'podhelpe flutter_ios_podfile_setup target 'Runner' do - use_frameworks! + use_frameworks! :linkage => :static use_modular_headers! flutter_install_all_ios_pods File.dirname(File.realpath(__FILE__)) diff --git a/example/ios/Podfile.lock b/example/ios/Podfile.lock index 8942516..358d4da 100644 --- a/example/ios/Podfile.lock +++ b/example/ios/Podfile.lock @@ -1,20 +1,24 @@ PODS: - Flutter (1.0.0) + - flutter_onnxruntime (0.0.1): + - Flutter + - onnxruntime-objc (= 1.22.0) - image_picker_ios (0.0.1): - Flutter - - onnxruntime (0.0.1): + - onnxruntime-c (1.22.0) + - onnxruntime-objc (1.22.0): + - onnxruntime-objc/Core (= 1.22.0) + - onnxruntime-objc/Core (1.22.0): + - onnxruntime-c (= 1.22.0) + - path_provider_foundation (0.0.1): - Flutter - - onnxruntime-objc (= 1.15.1) - - onnxruntime-c (1.15.1) - - onnxruntime-objc (1.15.1): - - onnxruntime-objc/Core (= 1.15.1) - - onnxruntime-objc/Core (1.15.1): - - onnxruntime-c (= 1.15.1) + - FlutterMacOS DEPENDENCIES: - Flutter (from `Flutter`) + - flutter_onnxruntime (from `.symlinks/plugins/flutter_onnxruntime/ios`) - image_picker_ios (from `.symlinks/plugins/image_picker_ios/ios`) - - onnxruntime (from `.symlinks/plugins/onnxruntime/ios`) + - path_provider_foundation (from `.symlinks/plugins/path_provider_foundation/darwin`) SPEC REPOS: trunk: @@ -24,18 +28,21 @@ SPEC REPOS: EXTERNAL SOURCES: Flutter: :path: Flutter + flutter_onnxruntime: + :path: ".symlinks/plugins/flutter_onnxruntime/ios" image_picker_ios: :path: ".symlinks/plugins/image_picker_ios/ios" - onnxruntime: - :path: ".symlinks/plugins/onnxruntime/ios" + path_provider_foundation: + :path: ".symlinks/plugins/path_provider_foundation/darwin" SPEC CHECKSUMS: Flutter: e0871f40cf51350855a761d2e70bf5af5b9b5de7 + flutter_onnxruntime: 744f037980e9fb685736bfeceaf4c2dd8c381f8a image_picker_ios: 7fe1ff8e34c1790d6fff70a32484959f563a928a - onnxruntime: 2ab1957eb029c71d47f7bb35cc4efc9f0d297828 - onnxruntime-c: ebdcfd8650bcbd10121c125262f99dea681b92a3 - onnxruntime-objc: ae7acec7a3d03eaf072d340afed7a35635c1c2a6 + onnxruntime-c: 7f778680e96145956c0a31945f260321eed2611a + onnxruntime-objc: 83d28b87525bd971259a66e153ea32b5d023de19 + path_provider_foundation: 080d55be775b7414fd5a5ef3ac137b97b097e564 -PODFILE CHECKSUM: 819463e6a0290f5a72f145ba7cde16e8b6ef0796 +PODFILE CHECKSUM: 1c18f5b275d3fc99af293d1a84a8ca8bfd0857f2 COCOAPODS: 1.16.2 diff --git a/example/ios/Runner.xcodeproj/project.pbxproj b/example/ios/Runner.xcodeproj/project.pbxproj index 3549ebd..14b94cd 100644 --- a/example/ios/Runner.xcodeproj/project.pbxproj +++ b/example/ios/Runner.xcodeproj/project.pbxproj @@ -197,7 +197,7 @@ 97C146EC1CF9000F007C117D /* Resources */, 9705A1C41CF9048500538489 /* Embed Frameworks */, 3B06AD1E1E4923F5004D2608 /* Thin Binary */, - 4CB733DC7CE5403651CB416C /* [CP] Embed Pods Frameworks */, + 85EF20F499847E0226AB750B /* [CP] Copy Pods Resources */, ); buildRules = ( ); @@ -307,21 +307,21 @@ shellScript = "diff \"${PODS_PODFILE_DIR_PATH}/Podfile.lock\" \"${PODS_ROOT}/Manifest.lock\" > /dev/null\nif [ $? != 0 ] ; then\n # print error to STDERR\n echo \"error: The sandbox is not in sync with the Podfile.lock. Run 'pod install' or update your CocoaPods installation.\" >&2\n exit 1\nfi\n# This output is used by Xcode 'outputs' to avoid re-running this script phase.\necho \"SUCCESS\" > \"${SCRIPT_OUTPUT_FILE_0}\"\n"; showEnvVarsInLog = 0; }; - 4CB733DC7CE5403651CB416C /* [CP] Embed Pods Frameworks */ = { + 85EF20F499847E0226AB750B /* [CP] Copy Pods Resources */ = { isa = PBXShellScriptBuildPhase; buildActionMask = 2147483647; files = ( ); inputFileListPaths = ( - "${PODS_ROOT}/Target Support Files/Pods-Runner/Pods-Runner-frameworks-${CONFIGURATION}-input-files.xcfilelist", + "${PODS_ROOT}/Target Support Files/Pods-Runner/Pods-Runner-resources-${CONFIGURATION}-input-files.xcfilelist", ); - name = "[CP] Embed Pods Frameworks"; + name = "[CP] Copy Pods Resources"; outputFileListPaths = ( - "${PODS_ROOT}/Target Support Files/Pods-Runner/Pods-Runner-frameworks-${CONFIGURATION}-output-files.xcfilelist", + "${PODS_ROOT}/Target Support Files/Pods-Runner/Pods-Runner-resources-${CONFIGURATION}-output-files.xcfilelist", ); runOnlyForDeploymentPostprocessing = 0; shellPath = /bin/sh; - shellScript = "\"${PODS_ROOT}/Target Support Files/Pods-Runner/Pods-Runner-frameworks.sh\"\n"; + shellScript = "\"${PODS_ROOT}/Target Support Files/Pods-Runner/Pods-Runner-resources.sh\"\n"; showEnvVarsInLog = 0; }; 9740EEB61CF901F6004384FC /* Run Script */ = { diff --git a/example/ios/Runner.xcodeproj/xcshareddata/xcschemes/Runner.xcscheme b/example/ios/Runner.xcodeproj/xcshareddata/xcschemes/Runner.xcscheme index 8e3ca5d..e3773d4 100644 --- a/example/ios/Runner.xcodeproj/xcshareddata/xcschemes/Runner.xcscheme +++ b/example/ios/Runner.xcodeproj/xcshareddata/xcschemes/Runner.xcscheme @@ -26,6 +26,7 @@ buildConfiguration = "Debug" selectedDebuggerIdentifier = "Xcode.DebuggerFoundation.Debugger.LLDB" selectedLauncherIdentifier = "Xcode.DebuggerFoundation.Launcher.LLDB" + customLLDBInitFile = "$(SRCROOT)/Flutter/ephemeral/flutter_lldbinit" shouldUseLaunchSchemeArgsEnv = "YES"> diff --git a/example/lib/main.dart b/example/lib/main.dart index e704bf8..64f3104 100644 --- a/example/lib/main.dart +++ b/example/lib/main.dart @@ -42,6 +42,10 @@ class _MyHomePageState extends State { @override void dispose() { + // Note: Since dispose is synchronous, we can't await here. + // The session will be cleaned up by the garbage collector if not explicitly closed. + // For proper cleanup, consider calling BackgroundRemover.instance.dispose() + // in a place where async is supported, such as before app termination. BackgroundRemover.instance.dispose(); super.dispose(); } diff --git a/example/pubspec.lock b/example/pubspec.lock index 8a3c4c2..a9017f3 100644 --- a/example/pubspec.lock +++ b/example/pubspec.lock @@ -134,6 +134,14 @@ packages: url: "https://pub.dev" source: hosted version: "4.0.0" + flutter_onnxruntime: + dependency: transitive + description: + name: flutter_onnxruntime + sha256: "8e1517462cc829d4cafc49702bf11d8a3946be608ca5907d37bf713eb6490231" + url: "https://pub.dev" + source: hosted + version: "1.6.1" flutter_plugin_android_lifecycle: dependency: transitive description: @@ -311,14 +319,6 @@ packages: url: "https://pub.dev" source: hosted version: "2.0.0" - onnxruntime: - dependency: transitive - description: - name: onnxruntime - sha256: e77ec05acafc135cc5fe7bcdf11b101b39f06513c9d5e9fa02cb1929f6bac72a - url: "https://pub.dev" - source: hosted - version: "1.4.1" path: dependency: transitive description: @@ -327,6 +327,54 @@ packages: url: "https://pub.dev" source: hosted version: "1.9.1" + path_provider: + dependency: transitive + description: + name: path_provider + sha256: "50c5dd5b6e1aaf6fb3a78b33f6aa3afca52bf903a8a5298f53101fdaee55bbcd" + url: "https://pub.dev" + source: hosted + version: "2.1.5" + path_provider_android: + dependency: transitive + description: + name: path_provider_android + sha256: "3b4c1fc3aa55ddc9cd4aa6759984330d5c8e66aa7702a6223c61540dc6380c37" + url: "https://pub.dev" + source: hosted + version: "2.2.19" + path_provider_foundation: + dependency: transitive + description: + name: path_provider_foundation + sha256: "16eef174aacb07e09c351502740fa6254c165757638eba1e9116b0a781201bbd" + url: "https://pub.dev" + source: hosted + version: "2.4.2" + path_provider_linux: + dependency: transitive + description: + name: path_provider_linux + sha256: f7a1fe3a634fe7734c8d3f2766ad746ae2a2884abe22e241a8b301bf5cac3279 + url: "https://pub.dev" + source: hosted + version: "2.2.1" + path_provider_platform_interface: + dependency: transitive + description: + name: path_provider_platform_interface + sha256: "88f5779f72ba699763fa3a3b06aa4bf6de76c8e5de842cf6f29e2e06476c2334" + url: "https://pub.dev" + source: hosted + version: "2.1.2" + path_provider_windows: + dependency: transitive + description: + name: path_provider_windows + sha256: bd6f00dbd873bfb70d0761682da2b3a2c2fccc2b9e84c495821639601d81afe7 + url: "https://pub.dev" + source: hosted + version: "2.3.0" petitparser: dependency: transitive description: @@ -335,6 +383,14 @@ packages: url: "https://pub.dev" source: hosted version: "6.0.2" + platform: + dependency: transitive + description: + name: platform + sha256: "5d6b1b0036a5f331ebc77c850ebc8506cbc1e9416c27e59b439f917a902a4984" + url: "https://pub.dev" + source: hosted + version: "3.1.6" plugin_platform_interface: dependency: transitive description: @@ -432,7 +488,15 @@ packages: dependency: transitive description: name: web - sha256: cd3543bd5798f6ad290ea73d210f423502e71900302dde696f8bff84bf89a1cb + sha256: "868d88a33d8a87b18ffc05f9f030ba328ffefba92d6c127917a2ba740f9cfe4a" + url: "https://pub.dev" + source: hosted + version: "1.1.1" + xdg_directories: + dependency: transitive + description: + name: xdg_directories + sha256: "7a3f37b05d989967cdddcbb571f1ea834867ae2faa29725fd085180e0883aa15" url: "https://pub.dev" source: hosted version: "1.1.0" @@ -445,5 +509,5 @@ packages: source: hosted version: "6.5.0" sdks: - dart: ">=3.7.0-0 <4.0.0" - flutter: ">=3.24.0" + dart: ">=3.7.0 <4.0.0" + flutter: ">=3.29.0" diff --git a/example/pubspec.yaml b/example/pubspec.yaml index a185e5a..08cf7ba 100644 --- a/example/pubspec.yaml +++ b/example/pubspec.yaml @@ -37,10 +37,6 @@ dependencies: image_picker: ^1.1.2 image_background_remover: path: ../ - # image_background_remover: - # git: - # url: https://github.com/mozhaiskyi/image_background_remover - # branch: main dev_dependencies: flutter_test: diff --git a/lib/src/README.md b/lib/src/README.md new file mode 100644 index 0000000..de34d19 --- /dev/null +++ b/lib/src/README.md @@ -0,0 +1,121 @@ +## Directory Structure + +``` +lib/src/ +├── background_remover.dart # Main public API +├── services/ +│ └── onnx_session_manager.dart # ONNX Runtime session management +└── utils/ + ├── image_processor.dart # Image processing utilities + ├── mask_processor.dart # Mask processing utilities + └── background_composer.dart # Background composition utilities +``` + +## Module Responsibilities + +### Main Module + +#### `background_remover.dart` +- **Purpose**: Main public API for background removal +- **Key Methods**: + - `initializeOrt()`: Initialize ONNX Runtime session + - `removeBg()`: Remove background from an image + - `addBackground()`: Add a colored background to an image + - `dispose()`: Release resources + +--- + +### Services + +#### `services/onnx_session_manager.dart` +- **Purpose**: Manages ONNX Runtime session lifecycle +- **Responsibilities**: + - Creating and initializing ONNX session from assets + - Managing session state and lifecycle + - Providing session access to inference operations + - Proper cleanup and resource disposal +- **Key Features**: + - Singleton pattern through BackgroundRemover + - Session validation before inference + - Detailed logging for debugging + +--- + +### Utilities + +#### `utils/image_processor.dart` +- **Purpose**: Core image processing operations +- **Key Methods**: + - `resizeImage()`: Resize images to target dimensions + - `imageToFloatTensor()`: Convert images to normalized float tensors + - `applyMaskToImage()`: Apply alpha mask to images +- **Features**: + - ImageNet normalization (mean/std) + - High-quality image resizing + - Alpha blending with feathering + - Optional mask smoothing + +#### `utils/mask_processor.dart` +- **Purpose**: Mask processing and enhancement +- **Key Methods**: + - `resizeMaskNearest()`: Resize masks using nearest neighbor interpolation + - `resizeMaskBilinear()`: Resize masks using bilinear interpolation + - `enhanceMaskEdges()`: Enhance mask edges using gradient detection +- **Features**: + - Multiple interpolation methods + - Edge-aware mask enhancement + - Sobel-like gradient detection + - Configurable enhancement parameters + +#### `utils/background_composer.dart` +- **Purpose**: Background composition and image manipulation +- **Key Methods**: + - `addBackground()`: Composite images with colored backgrounds +- **Features**: + - Color background addition + - Image encoding/decoding + - Image composition + +--- + +## Migration Notes + +This codebase has been migrated from `onnxruntime` to `flutter_onnxruntime`. Key changes include: + +1. **Session Management**: Simplified session creation using `createSessionFromAsset()` +2. **Tensor Operations**: Updated to use `OrtValue.fromList()` API +3. **Inference**: Streamlined with `session.run()` method +4. **Resource Management**: Proper async disposal with `close()` and `dispose()` + +All migration-related code is marked with `// Migration:` comments. + +--- + +## Usage Example + +```dart +import 'package:image_background_remover/image_background_remover.dart'; + +// Initialize once at app startup +await BackgroundRemover.instance.initializeOrt(); + +// Remove background from image +final imageBytes = await File('path/to/image.jpg').readAsBytes(); +final imageWithoutBg = await BackgroundRemover.instance.removeBg( + imageBytes, + threshold: 0.5, + smoothMask: true, + enhanceEdges: true, +); + +// Add colored background +final imageData = await imageWithoutBg.toByteData(format: ui.ImageByteFormat.png); +final withBackground = await BackgroundRemover.instance.addBackground( + image: imageData!.buffer.asUint8List(), + bgColor: Colors.blue, +); + +// Clean up when done +await BackgroundRemover.instance.dispose(); +``` + diff --git a/lib/src/background_remover.dart b/lib/src/background_remover.dart index a99bc3b..8a8bad3 100644 --- a/lib/src/background_remover.dart +++ b/lib/src/background_remover.dart @@ -1,14 +1,17 @@ import 'dart:async'; import 'dart:developer'; +import 'dart:typed_data'; import 'dart:ui' as ui; import 'package:flutter/foundation.dart'; import 'package:flutter/material.dart'; -import 'package:flutter/services.dart'; -import 'package:image_background_remover/assets.dart'; -import 'package:onnxruntime/onnxruntime.dart'; -import 'package:image/image.dart' as img; +import 'package:flutter_onnxruntime/flutter_onnxruntime.dart'; +import 'package:image_background_remover/src/services/onnx_session_manager.dart'; +import 'package:image_background_remover/src/utils/background_composer.dart'; +import 'package:image_background_remover/src/utils/image_processor.dart'; +import 'package:image_background_remover/src/utils/mask_processor.dart'; +/// Main class for background removal functionality class BackgroundRemover { BackgroundRemover._internal(); @@ -16,13 +19,10 @@ class BackgroundRemover { static BackgroundRemover get instance => _instance; - // The ONNX session used for inference. - OrtSession? _session; - - // ImageNet mean and standard deviation for normalization - final List _mean = [0.485, 0.456, 0.406]; - final List _std = [0.229, 0.224, 0.225]; + /// Session manager for ONNX Runtime + final OnnxSessionManager _sessionManager = OnnxSessionManager(); + /// Model input/output size int modelSize = 320; /// Initializes the ONNX environment and creates a session. @@ -30,38 +30,10 @@ class BackgroundRemover { /// This method should be called once before using the [removeBg] method. Future initializeOrt() async { try { - /// Initialize the ONNX runtime environment. - OrtEnv.instance.init(); - - /// Create the ONNX session. - await _createSession(); - } catch (e) { - log(e.toString()); - } - } - - /// Creates an ONNX session using the model from assets. - Future _createSession() async { - try { - /// Session configuration options. - final sessionOptions = OrtSessionOptions(); - - /// Load the model as a raw asset. - final rawAssetFile = await rootBundle.load(Assets.modelPath); - - /// Convert the asset to a byte array. - final bytes = rawAssetFile.buffer.asUint8List(); - - /// Create the ONNX session. - _session = OrtSession.fromBuffer(bytes, sessionOptions); - sessionOptions.release(); - if (kDebugMode) { - log('ONNX session created successfully.', name: "BackgroundRemover"); - } + await _sessionManager.initialize(); } catch (e) { - if (kDebugMode) { - log('Error creating ONNX session: $e', name: "BackgroundRemover"); - } + log('Failed to initialize ONNX session: $e', name: "BackgroundRemover"); + rethrow; } } @@ -73,12 +45,13 @@ class BackgroundRemover { /// - [imageBytes]: The input image as a byte array. /// - [threshold]: The threshold value for foreground/background separation (default: 0.5). /// - [smoothMask]: Whether to apply smoothing to the output mask (default: true). + /// - [enhanceEdges]: Whether to enhance mask edges using image gradients (default: true). /// - Returns: A [ui.Image] with the background removed. /// /// Example usage: /// ```dart /// final imageBytes = await File('path_to_image').readAsBytes(); - /// final ui.Image imageWithoutBackground = await removeBackground(imageBytes); + /// final ui.Image imageWithoutBackground = await BackgroundRemover.instance.removeBg(imageBytes); /// ``` /// /// Note: This function may take some time to process depending on the size @@ -89,303 +62,129 @@ class BackgroundRemover { bool smoothMask = true, bool enhanceEdges = true, }) async { - if (_session == null) { - throw Exception("ONNX session not initialized"); + if (!_sessionManager.isInitialized) { + throw Exception( + "ONNX session not initialized. Call initializeOrt() first."); } - final ui.Image result; - /// Decode the input image final originalImage = await decodeImageFromList(imageBytes); - log('Original image size: ${originalImage.width}x${originalImage.height}'); + log('Original image size: ${originalImage.width}x${originalImage.height}', + name: "BackgroundRemover"); + + final resizedImage = + await ImageProcessor.resizeImage(originalImage, modelSize, modelSize); - final resizedImage = await _resizeImage(originalImage, 320, modelSize); + /// Convert the resized image into a tensor format required by the ONNX model + final rgbFloats = await ImageProcessor.imageToFloatTensor(resizedImage); - /// Convert the resized image into a tensor format required by the ONNX model. - final rgbFloats = await _imageToFloatTensor(resizedImage); - final inputTensor = OrtValueTensor.createTensorWithDataList( + /// Migration: Changed from OrtValueTensor.createTensorWithDataList to OrtValue.fromList + final inputTensor = await OrtValue.fromList( Float32List.fromList(rgbFloats), [1, 3, modelSize, modelSize], ); - /// Prepare the inputs and run inference on the ONNX model. + /// Prepare the inputs and run inference on the ONNX model final inputs = {'input.1': inputTensor}; - final runOptions = OrtRunOptions(); - final outputs = await _session!.runAsync(runOptions, inputs); - inputTensor.release(); - runOptions.release(); - /// Process the output tensor and generate the final image with the background removed. - final outputTensor = outputs?[0]?.value; - if (outputTensor is List) { - final mask = outputTensor[0][0]; + /// Migration: Simplified to use run() instead of runAsync() with OrtRunOptions + final outputs = await _sessionManager.session!.run(inputs); - /// Generate and refine the mask - final resizedMask = smoothMask - ? resizeMaskBilinear(mask, originalImage.width, originalImage.height) - : resizeMaskNearest(mask, originalImage.width, originalImage.height); + /// Migration: Proper tensor disposal for memory management + await inputTensor.dispose(); - /// Apply edge enhancement if requested - final finalMask = enhanceEdges - ? await _enhanceMaskEdges(originalImage, resizedMask) - : resizedMask; + /// Process the output tensor and generate the final image with the background removed + /// Migration: Access outputs using named output instead of indexed access + final outputName = _sessionManager.session!.outputNames.first; + final outputTensor = outputs[outputName]; - /// Apply the mask to the original image - result = await _applyMaskToOriginalSizeImage(originalImage, finalMask, - threshold: threshold, smooth: smoothMask); - } else { + if (outputTensor == null) { throw Exception('Unexpected output format from ONNX model.'); } - /// Release the ONNX session resources - outputs?.forEach((output) { - output?.release(); - }); + /// Migration: Use asList() to get data with proper shape preservation + final outputData = await outputTensor.asList(); + final mask = outputData[0][0]; + + /// Generate and refine the mask + final resizedMask = smoothMask + ? MaskProcessor.resizeMaskBilinear( + mask, originalImage.width, originalImage.height) + : MaskProcessor.resizeMaskNearest( + mask, originalImage.width, originalImage.height, + maskSize: modelSize); + + /// Apply edge enhancement if requested + final finalMask = enhanceEdges + ? await MaskProcessor.enhanceMaskEdges(originalImage, resizedMask) + : resizedMask; + + /// Apply the mask to the original image + final result = await ImageProcessor.applyMaskToImage( + originalImage, + finalMask, + threshold: threshold, + smooth: smoothMask, + ); + /// Migration: Dispose output tensor to free native resources + await outputTensor.dispose(); + + /// Clean up intermediate images originalImage.dispose(); resizedImage.dispose(); return result; } - /// Resizes the input image to the specified dimensions. - Future _resizeImage( - ui.Image image, int targetWidth, int targetHeight) async { - final recorder = ui.PictureRecorder(); - final canvas = Canvas(recorder); - final paint = Paint()..filterQuality = FilterQuality.high; - - final srcRect = - Rect.fromLTWH(0, 0, image.width.toDouble(), image.height.toDouble()); - final dstRect = - Rect.fromLTWH(0, 0, targetWidth.toDouble(), targetHeight.toDouble()); - canvas.drawImageRect(image, srcRect, dstRect, paint); - - final picture = recorder.endRecording(); - return picture.toImage(targetWidth, targetHeight); - } - - /// Resizes the mask using nearest neighbor interpolation. - List resizeMaskNearest(List mask, int originalWidth, int originalHeight) { - final resizedMask = List.generate( - originalHeight, - (_) => List.filled(originalWidth, 0.0), - ); - - for (int y = 0; y < originalHeight; y++) { - for (int x = 0; x < originalWidth; x++) { - final scaledX = x * 320 ~/ originalWidth; - final scaledY = y * 320 ~/ originalHeight; - resizedMask[y][x] = mask[scaledY][scaledX]; - } - } - return resizedMask; - } - - /// Resizes the mask using bilinear interpolation for smoother edges. - List resizeMaskBilinear(List mask, int originalWidth, int originalHeight) { - final resizedMask = List.generate( - originalHeight, - (_) => List.filled(originalWidth, 0.0), + /// Removes the background from an image and returns PNG bytes (isolate-compatible). + /// + /// This function is designed to work with Dart isolates. Unlike [removeBg], + /// it returns PNG-encoded bytes instead of a ui.Image, making it safe to use + /// with Isolate.run() or compute(). + /// + /// - [imageBytes]: The input image as a byte array. + /// - [threshold]: The threshold value for foreground/background separation (default: 0.5). + /// - [smoothMask]: Whether to apply smoothing to the output mask (default: true). + /// - [enhanceEdges]: Whether to enhance mask edges using image gradients (default: true). + /// - Returns: PNG-encoded bytes with the background removed. + /// + /// Example usage with isolate: + /// ```dart + /// final imageBytes = await File('path_to_image').readAsBytes(); + /// final resultBytes = await Isolate.run(() async { + /// await BackgroundRemover.instance.initializeOrt(); + /// return await BackgroundRemover.instance.removeBgBytes(imageBytes); + /// }); + /// // Convert to ui.Image if needed + /// final image = await decodeImageFromList(resultBytes); + /// ``` + /// + /// Note: When using in an isolate, you must call [initializeOrt] within the isolate. + Future removeBgBytes( + Uint8List imageBytes, { + double threshold = 0.5, + bool smoothMask = true, + bool enhanceEdges = true, + }) async { + // Process the image + final resultImage = await removeBg( + imageBytes, + threshold: threshold, + smoothMask: smoothMask, + enhanceEdges: enhanceEdges, ); - final maskHeight = mask.length; - final maskWidth = mask[0].length; - - for (int y = 0; y < originalHeight; y++) { - for (int x = 0; x < originalWidth; x++) { - // Map to floating point coordinates in the source mask - final srcX = x * maskWidth / originalWidth; - final srcY = y * maskHeight / originalHeight; - - // Get integer coordinates for the four surrounding pixels - final x1 = srcX.floor(); - final y1 = srcY.floor(); - final x2 = (x1 + 1).clamp(0, maskWidth - 1); - final y2 = (y1 + 1).clamp(0, maskHeight - 1); - - // Calculate interpolation weights - final wx = srcX - x1; - final wy = srcY - y1; - - // Perform bilinear interpolation - resizedMask[y][x] = mask[y1][x1] * (1 - wx) * (1 - wy) + - mask[y1][x2] * wx * (1 - wy) + - mask[y2][x1] * (1 - wx) * wy + - mask[y2][x2] * wx * wy; - } - } - return resizedMask; - } - - /// Converts an image into a floating-point tensor with proper normalization. - Future> _imageToFloatTensor(ui.Image image) async { - final byteData = await image.toByteData(format: ui.ImageByteFormat.rawRgba); - if (byteData == null) throw Exception("Failed to get image ByteData"); - final rgbaBytes = byteData.buffer.asUint8List(); - final pixelCount = image.width * image.height; - final floats = List.filled(pixelCount * 3, 0); - - /// Extract and normalize RGB channels with ImageNet mean/std. - for (int i = 0; i < pixelCount; i++) { - floats[i] = (rgbaBytes[i * 4] / 255.0 - _mean[0]) / _std[0]; // Red - floats[pixelCount + i] = - (rgbaBytes[i * 4 + 1] / 255.0 - _mean[1]) / _std[1]; // Green - floats[2 * pixelCount + i] = - (rgbaBytes[i * 4 + 2] / 255.0 - _mean[2]) / _std[2]; // Blue - } - return floats; - } - - /// Enhances mask edges using image gradients. - Future _enhanceMaskEdges(ui.Image originalImage, List mask) async { + // Convert ui.Image to PNG bytes final byteData = - await originalImage.toByteData(format: ui.ImageByteFormat.rawRgba); - if (byteData == null) throw Exception("Failed to get image ByteData"); - final rgbaBytes = byteData.buffer.asUint8List(); - - final width = originalImage.width; - final height = originalImage.height; - final enhancedMask = List.generate( - height, - (y) => List.generate(width, (x) => mask[y][x]), - ); - - // Calculate image gradients (simple Sobel-like edge detection) - for (int y = 1; y < height - 1; y++) { - for (int x = 1; x < width - 1; x++) { - // Calculate gradient magnitude using adjacent pixels - // final idx = (y * width + x) * 4; - final idxLeft = (y * width + (x - 1)) * 4; - final idxRight = (y * width + (x + 1)) * 4; - final idxUp = ((y - 1) * width + x) * 4; - final idxDown = ((y + 1) * width + x) * 4; - - // Calculate gradient for each channel (R,G,B) - final gradR = (rgbaBytes[idxRight] - rgbaBytes[idxLeft]).abs() + - (rgbaBytes[idxDown] - rgbaBytes[idxUp]).abs(); - final gradG = (rgbaBytes[idxRight + 1] - rgbaBytes[idxLeft + 1]).abs() + - (rgbaBytes[idxDown + 1] - rgbaBytes[idxUp + 1]).abs(); - final gradB = (rgbaBytes[idxRight + 2] - rgbaBytes[idxLeft + 2]).abs() + - (rgbaBytes[idxDown + 2] - rgbaBytes[idxUp + 2]).abs(); - - // Average gradient across channels - final gradMagnitude = (gradR + gradG + gradB) / 3.0; - - // High gradient (edge) should sharpen the mask boundary - if (gradMagnitude > 30) { - // Threshold can be adjusted - // If we're in a transition area (mask value between 0.3-0.7) - if (mask[y][x] > 0.3 && mask[y][x] < 0.7) { - // Push values closer to 0 or 1 based on neighbors - double sum = 0; - int count = 0; - for (int ny = y - 1; ny <= y + 1; ny++) { - for (int nx = x - 1; nx <= x + 1; nx++) { - if (ny >= 0 && ny < height && nx >= 0 && nx < width) { - sum += mask[ny][nx]; - count++; - } - } - } - final avg = sum / count; - // Strengthen the decision at edges - enhancedMask[y][x] = avg > 0.5 - ? (mask[y][x] + 0.1).clamp(0.0, 1.0) - : (mask[y][x] - 0.1).clamp(0.0, 1.0); - } - } - } - } - - return enhancedMask; - } + await resultImage.toByteData(format: ui.ImageByteFormat.png); + resultImage.dispose(); - /// Applies the mask to the original image with configurable threshold and smoothing. - Future _applyMaskToOriginalSizeImage(ui.Image image, List mask, - {double threshold = 0.5, bool smooth = true}) async { - final byteData = await image.toByteData(format: ui.ImageByteFormat.rawRgba); - if (byteData == null) throw Exception("Failed to get image ByteData"); - - final rgbaBytes = byteData.buffer.asUint8List(); - final pixelCount = image.width * image.height; - final outRgbaBytes = Uint8List(4 * pixelCount); - - // Apply smoothing if requested - List smoothedMask = mask; - if (smooth) { - smoothedMask = _smoothMask(mask, 3); // 3x3 blur kernel - } - - for (int y = 0; y < image.height; y++) { - for (int x = 0; x < image.width; x++) { - final i = y * image.width + x; - - // Apply threshold for binary decision with feathering - double maskValue = smoothedMask[y][x]; - int alpha; - - if (maskValue > threshold + 0.05) { - alpha = 255; // Full opacity for foreground - } else if (maskValue < threshold - 0.05) { - alpha = 0; // Full transparency for background - } else { - // Smooth transition in the boundary region - alpha = ((maskValue - (threshold - 0.05)) / 0.1 * 255) - .round() - .clamp(0, 255); - } - - outRgbaBytes[i * 4] = rgbaBytes[i * 4]; // Red - outRgbaBytes[i * 4 + 1] = rgbaBytes[i * 4 + 1]; // Green - outRgbaBytes[i * 4 + 2] = rgbaBytes[i * 4 + 2]; // Blue - outRgbaBytes[i * 4 + 3] = alpha; // Alpha - } + if (byteData == null) { + throw Exception('Failed to convert image to bytes'); } - final completer = Completer(); - ui.decodeImageFromPixels( - outRgbaBytes, image.width, image.height, ui.PixelFormat.rgba8888, - (ui.Image img) { - completer.complete(img); - }); - - return completer.future; - } - - /// Helper method for mask smoothing using a box blur. - List _smoothMask(List mask, int kernelSize) { - final height = mask.length; - final width = mask[0].length; - final smoothed = List.generate( - height, - (_) => List.filled(width, 0.0), - ); - - final halfKernel = kernelSize ~/ 2; - - for (int y = 0; y < height; y++) { - for (int x = 0; x < width; x++) { - double sum = 0.0; - int count = 0; - - for (int ky = -halfKernel; ky <= halfKernel; ky++) { - for (int kx = -halfKernel; kx <= halfKernel; kx++) { - final ny = y + ky; - final nx = x + kx; - - if (nx >= 0 && nx < width && ny >= 0 && ny < height) { - sum += mask[ny][nx]; - count++; - } - } - } - - smoothed[y][x] = sum / count; - } - } - - return smoothed; + return byteData.buffer.asUint8List(); } /// Adds a background color to the given image. @@ -402,24 +201,16 @@ class BackgroundRemover { /// - bgColor: The background color as a [Color]. /// /// - Returns: A [Future] that completes with the modified image as a [Uint8List]. - Future addBackground( - {required Uint8List image, required Color bgColor}) async { - final img.Image decodedImage = img.decodeImage(image)!; - final newImage = - img.Image(width: decodedImage.width, height: decodedImage.height); - img.fill(newImage, - color: img.ColorRgb8(bgColor.red, bgColor.green, bgColor.blue)); - img.compositeImage(newImage, decodedImage); - final jpegBytes = img.encodeJpg(newImage); - final completer = Completer(); - completer.complete(jpegBytes.buffer.asUint8List()); - return completer.future; + Future addBackground({ + required Uint8List image, + required Color bgColor, + }) async { + return BackgroundComposer.addBackground(image: image, bgColor: bgColor); } /// Release resources - void dispose() { - _session?.release(); - _session = null; - OrtEnv.instance.release(); + /// Migration: Changed to async and use close() instead of release() + Future dispose() async { + await _sessionManager.dispose(); } } diff --git a/lib/src/services/onnx_session_manager.dart b/lib/src/services/onnx_session_manager.dart new file mode 100644 index 0000000..27530e5 --- /dev/null +++ b/lib/src/services/onnx_session_manager.dart @@ -0,0 +1,54 @@ +import 'dart:developer'; + +import 'package:flutter/foundation.dart'; +import 'package:flutter_onnxruntime/flutter_onnxruntime.dart'; +import 'package:image_background_remover/assets.dart'; + +/// Manages ONNX Runtime session lifecycle +class OnnxSessionManager { + // Migration: Added OnnxRuntime instance for flutter_onnxruntime package + final OnnxRuntime _ort = OnnxRuntime(); + + // The ONNX session used for inference + OrtSession? _session; + + /// Gets the current session + OrtSession? get session => _session; + + /// Checks if session is initialized + bool get isInitialized => _session != null; + + /// Initializes the ONNX session from assets. + /// + /// This method should be called once before performing inference. + Future initialize() async { + try { + /// Migration: Simplified to use createSessionFromAsset() instead of manual buffer loading + _session = await _ort.createSessionFromAsset(Assets.modelPath); + + if (kDebugMode) { + log('ONNX session created successfully.', name: "OnnxSessionManager"); + log('Input names: ${_session!.inputNames}', name: "OnnxSessionManager"); + log('Output names: ${_session!.outputNames}', + name: "OnnxSessionManager"); + } + } catch (e) { + if (kDebugMode) { + log('Error creating ONNX session: $e', name: "OnnxSessionManager"); + } + rethrow; + } + } + + /// Releases session resources + /// Migration: Changed to async and use close() instead of release() + Future dispose() async { + if (_session != null) { + await _session!.close(); + _session = null; + if (kDebugMode) { + log('ONNX session closed successfully.', name: "OnnxSessionManager"); + } + } + } +} diff --git a/lib/src/utils/background_composer.dart b/lib/src/utils/background_composer.dart new file mode 100644 index 0000000..2ebbc2a --- /dev/null +++ b/lib/src/utils/background_composer.dart @@ -0,0 +1,40 @@ +import 'dart:async'; +import 'dart:typed_data'; + +import 'package:flutter/material.dart'; +import 'package:image/image.dart' as img; + +/// Utility class for composing backgrounds and images +class BackgroundComposer { + /// Adds a background color to the given image. + /// + /// This method takes an image in the form of a [Uint8List] and a background + /// color as a [Color]. It decodes the image, creates a new image with the + /// same dimensions, fills it with the specified background color, and then + /// composites the original image onto the new image with the background color. + /// + /// Returns a [Future] that completes with the modified image as a [Uint8List]. + /// + /// - Parameters: + /// - image: The original image as a [Uint8List]. + /// - bgColor: The background color as a [Color]. + /// + /// - Returns: A [Future] that completes with the modified image as a [Uint8List]. + static Future addBackground({ + required Uint8List image, + required Color bgColor, + }) async { + final img.Image decodedImage = img.decodeImage(image)!; + final newImage = + img.Image(width: decodedImage.width, height: decodedImage.height); + img.fill( + newImage, + color: img.ColorRgb8(bgColor.red, bgColor.green, bgColor.blue), + ); + img.compositeImage(newImage, decodedImage); + final jpegBytes = img.encodeJpg(newImage); + final completer = Completer(); + completer.complete(jpegBytes.buffer.asUint8List()); + return completer.future; + } +} diff --git a/lib/src/utils/image_processor.dart b/lib/src/utils/image_processor.dart new file mode 100644 index 0000000..4d798c8 --- /dev/null +++ b/lib/src/utils/image_processor.dart @@ -0,0 +1,149 @@ +import 'dart:async'; +import 'dart:typed_data'; +import 'dart:ui' as ui; + +import 'package:flutter/material.dart'; + +/// Utility class for image processing operations +class ImageProcessor { + /// ImageNet mean values for normalization + static const List mean = [0.485, 0.456, 0.406]; + + /// ImageNet standard deviation values for normalization + static const List std = [0.229, 0.224, 0.225]; + + /// Resizes the input image to the specified dimensions. + static Future resizeImage( + ui.Image image, + int targetWidth, + int targetHeight, + ) async { + final recorder = ui.PictureRecorder(); + final canvas = Canvas(recorder); + final paint = Paint()..filterQuality = FilterQuality.high; + + final srcRect = + Rect.fromLTWH(0, 0, image.width.toDouble(), image.height.toDouble()); + final dstRect = + Rect.fromLTWH(0, 0, targetWidth.toDouble(), targetHeight.toDouble()); + canvas.drawImageRect(image, srcRect, dstRect, paint); + + final picture = recorder.endRecording(); + return picture.toImage(targetWidth, targetHeight); + } + + /// Converts an image into a floating-point tensor with proper normalization. + /// Uses ImageNet mean and standard deviation for normalization. + static Future> imageToFloatTensor(ui.Image image) async { + final byteData = await image.toByteData(format: ui.ImageByteFormat.rawRgba); + if (byteData == null) throw Exception("Failed to get image ByteData"); + final rgbaBytes = byteData.buffer.asUint8List(); + final pixelCount = image.width * image.height; + final floats = List.filled(pixelCount * 3, 0); + + /// Extract and normalize RGB channels with ImageNet mean/std. + for (int i = 0; i < pixelCount; i++) { + floats[i] = (rgbaBytes[i * 4] / 255.0 - mean[0]) / std[0]; // Red + floats[pixelCount + i] = + (rgbaBytes[i * 4 + 1] / 255.0 - mean[1]) / std[1]; // Green + floats[2 * pixelCount + i] = + (rgbaBytes[i * 4 + 2] / 255.0 - mean[2]) / std[2]; // Blue + } + return floats; + } + + /// Applies the mask to the original image with configurable threshold and smoothing. + static Future applyMaskToImage( + ui.Image image, + List mask, { + double threshold = 0.5, + bool smooth = true, + }) async { + final byteData = await image.toByteData(format: ui.ImageByteFormat.rawRgba); + if (byteData == null) throw Exception("Failed to get image ByteData"); + + final rgbaBytes = byteData.buffer.asUint8List(); + final pixelCount = image.width * image.height; + final outRgbaBytes = Uint8List(4 * pixelCount); + + // Apply smoothing if requested + List smoothedMask = mask; + if (smooth) { + smoothedMask = _smoothMask(mask, 3); // 3x3 blur kernel + } + + for (int y = 0; y < image.height; y++) { + for (int x = 0; x < image.width; x++) { + final i = y * image.width + x; + + // Apply threshold for binary decision with feathering + double maskValue = smoothedMask[y][x]; + int alpha; + + if (maskValue > threshold + 0.05) { + alpha = 255; // Full opacity for foreground + } else if (maskValue < threshold - 0.05) { + alpha = 0; // Full transparency for background + } else { + // Smooth transition in the boundary region + alpha = ((maskValue - (threshold - 0.05)) / 0.1 * 255) + .round() + .clamp(0, 255); + } + + outRgbaBytes[i * 4] = rgbaBytes[i * 4]; // Red + outRgbaBytes[i * 4 + 1] = rgbaBytes[i * 4 + 1]; // Green + outRgbaBytes[i * 4 + 2] = rgbaBytes[i * 4 + 2]; // Blue + outRgbaBytes[i * 4 + 3] = alpha; // Alpha + } + } + + final completer = Completer(); + ui.decodeImageFromPixels( + outRgbaBytes, + image.width, + image.height, + ui.PixelFormat.rgba8888, + (ui.Image img) { + completer.complete(img); + }, + ); + + return completer.future; + } + + /// Helper method for mask smoothing using a box blur. + static List _smoothMask(List mask, int kernelSize) { + final height = mask.length; + final width = mask[0].length; + final smoothed = List.generate( + height, + (_) => List.filled(width, 0.0), + ); + + final halfKernel = kernelSize ~/ 2; + + for (int y = 0; y < height; y++) { + for (int x = 0; x < width; x++) { + double sum = 0.0; + int count = 0; + + for (int ky = -halfKernel; ky <= halfKernel; ky++) { + for (int kx = -halfKernel; kx <= halfKernel; kx++) { + final ny = y + ky; + final nx = x + kx; + + if (nx >= 0 && nx < width && ny >= 0 && ny < height) { + sum += mask[ny][nx]; + count++; + } + } + } + + smoothed[y][x] = sum / count; + } + } + + return smoothed; + } +} diff --git a/lib/src/utils/mask_processor.dart b/lib/src/utils/mask_processor.dart new file mode 100644 index 0000000..53580a0 --- /dev/null +++ b/lib/src/utils/mask_processor.dart @@ -0,0 +1,132 @@ +import 'dart:ui' as ui; + +/// Utility class for mask processing operations +class MaskProcessor { + /// Resizes the mask using nearest neighbor interpolation. + static List resizeMaskNearest( + List mask, + int originalWidth, + int originalHeight, { + int maskSize = 320, + }) { + final resizedMask = List.generate( + originalHeight, + (_) => List.filled(originalWidth, 0.0), + ); + + for (int y = 0; y < originalHeight; y++) { + for (int x = 0; x < originalWidth; x++) { + final scaledX = x * maskSize ~/ originalWidth; + final scaledY = y * maskSize ~/ originalHeight; + resizedMask[y][x] = mask[scaledY][scaledX]; + } + } + return resizedMask; + } + + /// Resizes the mask using bilinear interpolation for smoother edges. + static List resizeMaskBilinear( + List mask, + int originalWidth, + int originalHeight, + ) { + final resizedMask = List.generate( + originalHeight, + (_) => List.filled(originalWidth, 0.0), + ); + + final maskHeight = mask.length; + final maskWidth = mask[0].length; + + for (int y = 0; y < originalHeight; y++) { + for (int x = 0; x < originalWidth; x++) { + // Map to floating point coordinates in the source mask + final srcX = x * maskWidth / originalWidth; + final srcY = y * maskHeight / originalHeight; + + // Get integer coordinates for the four surrounding pixels + final x1 = srcX.floor(); + final y1 = srcY.floor(); + final x2 = (x1 + 1).clamp(0, maskWidth - 1); + final y2 = (y1 + 1).clamp(0, maskHeight - 1); + + // Calculate interpolation weights + final wx = srcX - x1; + final wy = srcY - y1; + + // Perform bilinear interpolation + resizedMask[y][x] = mask[y1][x1] * (1 - wx) * (1 - wy) + + mask[y1][x2] * wx * (1 - wy) + + mask[y2][x1] * (1 - wx) * wy + + mask[y2][x2] * wx * wy; + } + } + return resizedMask; + } + + /// Enhances mask edges using image gradients for better edge quality. + static Future enhanceMaskEdges( + ui.Image originalImage, + List mask, { + double gradientThreshold = 30.0, + }) async { + final byteData = + await originalImage.toByteData(format: ui.ImageByteFormat.rawRgba); + if (byteData == null) throw Exception("Failed to get image ByteData"); + final rgbaBytes = byteData.buffer.asUint8List(); + + final width = originalImage.width; + final height = originalImage.height; + final enhancedMask = List.generate( + height, + (y) => List.generate(width, (x) => mask[y][x]), + ); + + // Calculate image gradients (simple Sobel-like edge detection) + for (int y = 1; y < height - 1; y++) { + for (int x = 1; x < width - 1; x++) { + // Calculate gradient magnitude using adjacent pixels + final idxLeft = (y * width + (x - 1)) * 4; + final idxRight = (y * width + (x + 1)) * 4; + final idxUp = ((y - 1) * width + x) * 4; + final idxDown = ((y + 1) * width + x) * 4; + + // Calculate gradient for each channel (R,G,B) + final gradR = (rgbaBytes[idxRight] - rgbaBytes[idxLeft]).abs() + + (rgbaBytes[idxDown] - rgbaBytes[idxUp]).abs(); + final gradG = (rgbaBytes[idxRight + 1] - rgbaBytes[idxLeft + 1]).abs() + + (rgbaBytes[idxDown + 1] - rgbaBytes[idxUp + 1]).abs(); + final gradB = (rgbaBytes[idxRight + 2] - rgbaBytes[idxLeft + 2]).abs() + + (rgbaBytes[idxDown + 2] - rgbaBytes[idxUp + 2]).abs(); + + // Average gradient across channels + final gradMagnitude = (gradR + gradG + gradB) / 3.0; + + // High gradient (edge) should sharpen the mask boundary + if (gradMagnitude > gradientThreshold) { + // If we're in a transition area (mask value between 0.3-0.7) + if (mask[y][x] > 0.3 && mask[y][x] < 0.7) { + // Push values closer to 0 or 1 based on neighbors + double sum = 0; + int count = 0; + for (int ny = y - 1; ny <= y + 1; ny++) { + for (int nx = x - 1; nx <= x + 1; nx++) { + if (ny >= 0 && ny < height && nx >= 0 && nx < width) { + sum += mask[ny][nx]; + count++; + } + } + } + final avg = sum / count; + // Strengthen the decision at edges + enhancedMask[y][x] = avg > 0.5 + ? (mask[y][x] + 0.1).clamp(0.0, 1.0) + : (mask[y][x] - 0.1).clamp(0.0, 1.0); + } + } + } + } + + return enhancedMask; + } +} diff --git a/pubspec.yaml b/pubspec.yaml index e96962a..b0ba382 100644 --- a/pubspec.yaml +++ b/pubspec.yaml @@ -1,17 +1,20 @@ name: image_background_remover description: "A Flutter package that removes the background from images using an ONNX model." -version: 1.0.0 +version: 2.0.0 homepage: https://github.com/Netesh5/image_background_remover/tree/main environment: - sdk: '>=3.2.0 <4.0.0' + sdk: ">=3.2.0 <4.0.0" flutter: ">=1.17.0" dependencies: flutter: sdk: flutter image: ^4.5.2 - onnxruntime: ^1.4.1 + + #Due to low maintainace of this package we are migrating to new alternative package. + #onnxruntime: ^1.4.1 + flutter_onnxruntime: ^1.6.1 dev_dependencies: flutter_test: