Flutter opencv camera

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Flutter OpenCV Camera

Flutter is a popular framework for building cross-platform applications, and OpenCV is a computer vision library widely used for image and video processing. Combining both Flutter and OpenCV allows developers to create powerful apps with advanced camera functionality.

Setting up OpenCV Camera in Flutter:

To use OpenCV’s camera in a Flutter project, follow these steps:

  1. Add the ‘opencv_camera’ package as a dependency in your pubspec.yaml file:
    2. dependencies:
  opencv_camera: any
  2. Import the package in your Dart code:
    3. import 'package:opencv_camera/opencv_camera.dart';
  3. Use the package to create an OpenCV camera widget:
    4. OpenCVCamera(
  onCameraViewCreated: (controller) {
    // Handle camera view initialization
    // Camera controller can be used to access camera frames
  },
),

    The above code sets up an OpenCV camera widget and provides a callback function ‘onCameraViewCreated’ that is triggered when the camera view is initialized. You can access the camera frames through the provided ‘controller’.

    Working with Camera Frames:

    Once the camera view is initialized, you can access camera frames for further processing. For example, you can apply image filters, object detection, or any other computer vision algorithms to the frames.

    onCameraViewCreated: (controller) {
  // Accessing frames from the camera
  controller.start();
  controller.onFrame.listen((frame) {
    // Process the frame (apply filters, detect objects, etc.)
    // Display the frame on the screen
  });
},

    In the above code, the ‘start’ method is called on the camera controller to start the camera stream. The ‘onFrame’ stream provides real-time access to the camera frames, allowing you to process them and display them on the screen.

    Sample Flutter OpenCV Camera Code:

    Here’s a sample code snippet that demonstrates how to set up and use the OpenCV camera in a Flutter app:

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

void main() {
  runApp(MyApp());
}

class MyApp extends StatelessWidget {
  @override
  Widget build(BuildContext context) {
    return MaterialApp(
      title: 'Flutter OpenCV Camera',
      theme: ThemeData(
        primarySwatch: Colors.blue,
      ),
      home: MyHomePage(),
    );
  }
}

class MyHomePage extends StatefulWidget {
  @override
  _MyHomePageState createState() => _MyHomePageState();
}

class _MyHomePageState extends State {
  @override
  Widget build(BuildContext context) {
    return Scaffold(
      appBar: AppBar(title: Text('Flutter OpenCV Camera')),
      body: Center(
        child: OpenCVCamera(
          onCameraViewCreated: (controller) {
            controller.start();
            controller.onFrame.listen((frame) {
              // Process and display the frame
            });
          },
        ),
      ),
    );
  }
}

    The above code creates a Flutter app with an OpenCV camera widget. It initializes the camera, listens to camera frames, and provides a placeholder for processing and displaying the frames.

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