advanced_image_processing_toolkit 0.1.2

Plugin for advanced image processing, featuring real-time filters, object recognition, and AR capabilities.

Advanced Image Processing Toolkit

A comprehensive Flutter package for advanced image processing, featuring real-time filters, object recognition, and AR capabilities.

Features

Image Filters

• ✅ Grayscale conversion
• ✅ Gaussian blur
• ✅ Brightness adjustment
• ✅ Sepia tone
• ✅ Color inversion
• ✅ Vignette effect
• ✅ Watercolor effect
• ✅ Oil painting effect
• ✅ Custom filter chains

Object Recognition

• ✅ Real-time object detection
• ✅ Face detection with landmarks
• ✅ Pose estimation
• ✅ Text recognition (OCR)
• ✅ Multiple object tracking
• ✅ Confidence scoring
• ✅ Bounding box calculation
• ✅ Detailed object information

Augmented Reality

• ✅ AR session management
• ✅ 3D model placement
• ✅ Surface detection
• ✅ Real-world scale adjustment
• ✅ Platform-specific optimizations

Installation

Add the package to your pubspec.yaml:

dependencies:
  advanced_image_processing_toolkit: ^0.1.2

For AR features, add these optional dependencies:

dependencies:
  arkit_plugin: ^1.0.7 # iOS AR
  arcore_flutter_plugin: ^0.1.0 # Android AR

Usage

Initialize the Toolkit

await AdvancedImageProcessingToolkit.initialize(
  enableObjectDetection: true,
  enableAR: true,
);

Apply Image Filters

// Grayscale
final grayscaleImage = await ImageFilters.applyGrayscale(imageBytes);

// Blur
final blurredImage = await ImageFilters.applyBlur(imageBytes, sigma: 5.0);

// Brightness
final brightImage = await ImageFilters.adjustBrightness(imageBytes, factor: 0.5);

// Sepia
final sepiaImage = await ImageFilters.applySepia(imageBytes);

// Invert
final invertedImage = await ImageFilters.applyInvert(imageBytes);

// Vignette
final vignetteImage = await ImageFilters.applyVignette(
  imageBytes,
  intensity: 0.5,
  radius: 0.5,
);

// Watercolor
final watercolorImage = await ImageFilters.applyWatercolor(
  imageBytes,
  radius: 5,
  intensity: 0.5,
);

// Oil Painting
final oilPaintingImage = await ImageFilters.applyOilPainting(
  imageBytes,
  radius: 4,
  levels: 20,
);

Object Recognition

// Detect objects
final detections = await ObjectRecognition.detectObjects(imageBytes);

// Draw bounding boxes
final annotatedImage = await ObjectRecognition.drawDetections(
  imageBytes,
  detections,
);

// Access detection details
for (final detection in detections) {
  print('Label: ${detection.label}');
  print('Confidence: ${detection.confidence}');
  print('Bounding Box: ${detection.boundingBox}');
  if (detection.additionalData != null) {
    print('Additional Data: ${detection.additionalData}');
  }
}

Augmented Reality

// Check AR support
if (AugmentedReality.isARSupported()) {
  // Start AR session
  await AugmentedReality.startARSession();
  
  // Place 3D model
  await AugmentedReality.placeModel(
    modelPath: 'assets/model.glb',
    position: [0, 0, -1],
    scale: 1.0,
    rotation: [0, 0, 0],
  );
  
  // Stop AR session
  await AugmentedReality.stopARSession();
}

Platform Support

• ✅ Android
• ✅ iOS
• ✅ Web (limited features)
• ✅ macOS (limited features)
• ✅ Windows (limited features)
• ✅ Linux (limited features)

Dependencies

• Flutter SDK: >=3.3.0
• Dart SDK: >=3.0.0
• image: ^4.1.3
• camera: ^0.10.5+9
• google_ml_kit: ^0.16.3
• image_picker: ^1.0.7
• logging: ^1.2.0
• path_provider: ^2.1.2
• permission_handler: ^11.3.0
• google_mlkit_text_recognition: ^0.11.0
• google_mlkit_face_detection: ^0.8.0
• google_mlkit_pose_detection: ^0.9.0

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.