QRDet Python Library

The QRDetector class is the primary interface for detecting and segmenting QR codes in images. You can instantiate it and call the .detect() method to process an image.

When calling .detect(), you can specify:

• image: The input image array.
• is_bgr: A boolean indicating if the input image is in BGR format (set to False if you have already converted it to RGB).
• legacy: A boolean to toggle between different detection modes (set to False for the modern detection pipeline).

The method returns a list of detections containing the segmentation and location data for the QR codes found.

import cv2
from qrdet import QRDetector

detector = QRDetector()
# Load image and convert to RGB
image = cv2.cvtColor(cv2.imread('path/to/image.jpg'), code=cv2.COLOR_BGR2RGB)

# Perform detection
detections = detector.detect(image=image, is_bgr=False, legacy=False)

The _plot_result function is a utility used to visualize the detected QR codes by overlaying the detection results onto the original image. It accepts the input image and the detections list returned by the QRDetector.detect() method.

from qrdet import _plot_result

_plot_result(image=image, detections=detections)