SideQR

SideQR is a PySide6-based library that provides a custom QML component for real-time QR code scanning. It leverages OpenCV and PyZbar for efficient QR code detection and can be seamlessly integrated into PySide6 applications using QML.

Features

• Real-time QR code detection using the device camera.
• Customizable QML component (QRScanner) for easy integration.
• Optional highlight overlays for detected QR codes.
• Lightweight and fast, using multithreading for frame processing.

Installation

You can install SideQR via pip:

pip install sideqr

Or install directly from the GitHub repository:

pip install git+https://github.com/vishnumg/SideQR.git

Usage

1. Importing the Library in QML

Once installed, you can import the QRScanner component into your QML application:

import QtQuick
import QtQuick.Controls
import QtMultimedia
import SideQR 1.0

ApplicationWindow {
    visible: true
    width: 640
    height: 480
    title: "QR Code Scanner"

    MediaDevices {
        id: mediaDevices
    }

    CaptureSession {
        camera: Camera {
            id: camera
            cameraDevice: mediaDevices.defaultVideoInput
            active: true
        }
        videoOutput: qrScanner.videoSink
    }

    QRScanner {
        id: qrScanner
        onBarcodeDetected: barcode => {
            console.log("QR Code detected:", barcode)
        }
        previewOutput: videoOutput.videoSink
    }

    VideoOutput {
        id: videoOutput
        anchors.fill: parent
    }
}

2. Running the Example

You can also test the library with the provided example:

python examples/qr_scanner_app.py

This will open a window showing the camera feed, and detected QR codes will be displayed in the console and UI.

API

QRScanner Properties:

• videoSink: Connects the camera input to the QRScanner component.
• previewOutput: Outputs the processed video frames (with or without highlights) to a VideoOutput.

QRScanner Signals:

• barcodeDetected: Emits the decoded QR code data as a string whenever a QR code is detected.

Dependencies

• PySide6
• OpenCV
• PyZbar
• Pillow
• NumPy

Install them manually if needed:

pip install PySide6 opencv-python pyzbar Pillow numpy

Contributing

Contributions are welcome! Feel free to fork the repository, make changes, and submit pull requests.

1. Fork the repo
2. Create your feature branch: git checkout -b feature-name
3. Commit your changes: git commit -m 'Add new feature'
4. Push to the branch: git push origin feature-name
5. Open a pull request

License

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