Steps to Create an OpenCV Flutter Sample App:

Flutter

Creating a Flutter app with OpenCV involves using a package that allows Flutter to interact with OpenCV functionalities. The opencv_flutter package is a popular choice for this purpose. Below is a basic example of a Flutter app that uses OpenCV to perform simple image processing.

Steps to Create an OpenCV Flutter Sample App:

1. Add Dependency:

Add the opencv_flutter package to your pubspec.yaml file:

dependencies:
  flutter:
    sdk: flutter
  opencv_flutter: ^0.6.0

Run flutter pub get to install the package.

2. Import Packages:

In your Dart file, import the necessary packages:

import 'package:flutter/material.dart';
import 'package:opencv_flutter/opencv_flutter.dart';

3. Create the Flutter App:

void main() => runApp(OpenCVApp());

class OpenCVApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      home: Scaffold(
        appBar: AppBar(
          title: Text('OpenCV Flutter Sample'),
        ),
        body: OpenCVScreen(),
      ),
    );
  }
}

class OpenCVScreen extends StatefulWidget {
  @override
  _OpenCVScreenState createState() => _OpenCVScreenState();
}

class _OpenCVScreenState extends State<OpenCVScreen> {
  String imagePath = 'assets/sample_image.jpg'; // Replace with your image path

  @override
  void initState() {
    super.initState();
    _processImage();
  }

  Future<void> _processImage() async {
    // Load the image
    final imageData = await rootBundle.load(imagePath);
    final List<int> bytes = imageData.buffer.asUint8List();

    // Convert image to grayscale
    final grayImage = await ImgProc.cvtColor(await Img.decodeImageFromList(bytes), ImgProc.colorBGR2GRAY);

    // Perform additional image processing (e.g., edge detection, blurring)
    final processedImage = await ImgProc.cvtColor(grayImage, ImgProc.colorGRAY2BGR);
    await ImgProc.blur(processedImage, [5, 5]);

    // Display the processed image
    showDialog(
      context: context,
      builder: (context) => AlertDialog(
        title: Text('Processed Image'),
        content: Image.memory(Uint8List.fromList(processedImage.getBytes())),
        actions: [
          ElevatedButton(
            onPressed: () {
              Navigator.pop(context);
            },
            child: Text('OK'),
          ),
        ],
      ),
    );
  }

  @override
  Widget build(BuildContext context) {
    return Center(
      child: Text('Processing Image...'),
    );
  }
}

4. Test the App:

Replace the imagePath variable with the path to an image you want to process.
Run your Flutter app.

This example loads an image, converts it to grayscale, and applies blurring using OpenCV. The processed image is then displayed in an AlertDialog. Modify the _processImage function to include other OpenCV functionalities based on your requirements.

Make sure to replace the imagePath variable with the actual path to your image.

Note: The opencv_flutter package relies on native libraries, and platform-specific configurations may be required. Ensure that you follow the package documentation for any additional setup steps, especially if you encounter issues on iOS or Android.

Steps to Create an OpenCV Flutter Sample App: