sideqr 0.0.2

A PySide6 library providing a custom QML component for QR code scanning.

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.

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Features

• Real-time QR code detection using the device camera
• Multiple barcode detection with timestamp tracking
• Customizable QML component (QRScanner) for easy integration
• Real-time highlight overlays for detected QR codes
• Visible barcodes model for tracking currently detected codes
• Detection history logging
• Adjustable debounce period for code persistence
• Lightweight and fast, using multithreading for frame processing

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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. Basic Implementation
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
        previewOutput: videoOutput.videoSink
        
        onBarcodesDetected: barcodes => {
            // Handle new detections
            barcodes.forEach(barcode => console.log("Detected:", barcode.data))
        }
    }

    VideoOutput {
        id: videoOutput
        height: parent.height/2
    }

    Row {
        anchors.top: videoOutput.bottom
        spacing: 10

        // Visible Barcodes List
        Column {
            width: parent.width/2
            Text { 
                text: "Visible Barcodes" 
                font.bold: true
            }
            ListView {
                width: parent.width
                height: 150
                model: qrScanner.visibleBarcodesModel
                delegate: Text {
                    text: model.data + " - " + new Date(model.timestamp).toLocaleTimeString()
                }
            }
        }

        // Detection History
        Column {
            width: parent.width/2
            Text { 
                text: "Detection Log" 
                font.bold: true
            }
            ListView {
                width: parent.width
                height: 150
                model: ListModel { id: logsModel }
                delegate: Text {
                    text: model.data + " at " + model.timestamp
                }
            }
        }
    }
}

2. Advanced Features
Accessing Barcode Details:
ListView {
    model: qrScanner.visibleBarcodesModel
    delegate: Column {
        Text { text: "Data: " + model.data }
        Text { text: "Bounding Box: " + model.bbox }
        Text { text: "Timestamp: " + new Date(model.timestamp).toLocaleTimeString() }
    }
}

Configuring Scanner Properties:
QRScanner {
    id: qrScanner
    highlightDetected: true  // Enable/disable visual highlights
    debouncePeriod: 2000     // Set persistence time in milliseconds
}


API
QRScanner Properties



Property
Type
Description




videoSink
QObject
Camera input connection (read-only)


previewOutput
QObject
Processed video output


highlightDetected
bool
Enable/disable detection highlights


debouncePeriod
int
Barcode persistence time in milliseconds


visibleBarcodesModel
QObject
List model of currently visible barcodes



QRScanner Signals

barcodesDetected(list<BarcodeResult>)
Emits when new barcodes are detected, containing:

data: Decoded text content
bbox: Bounding box coordinates (left, top, width, height)
timestamp: Detection timestamp




Dependencies

PySide6
OpenCV
PyZbar
NumPy

Install all dependencies with:
pip install PySide6 opencv-python pyzbar numpy


Contributing
Contributions are welcome! Please follow these steps:

Fork the repository
Create your feature branch: git checkout -b feature-name
Commit your changes: git commit -m 'Add new feature'
Push to the branch: git push origin feature-name
Open a pull request


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