![]() If no QR code can be decoded, it will return None. If None, it will look for the QR code in the whole image (not recommended). The bounding box of the QR code in the format ( x1, y1, x2, y2). from pyzbar import pyzbar import argparse import numpy as np import cv2 image cv2.imread('QRCode.png') thresholds image to white in back then invert it to black in white try to just the BGR values of inRange to get the best result mask cv2. Firstly, threshold the image with the code below. Internally, this method will run the pyzbar decoder, using different image preprocessing techniques ( sharpening, binarization, blurring.) every time it fails to increase the detection rate.ībox: tuple | None. Used OpenCV to threshold the image to black-in-white then pyzbar is able to decode the QR code. This method decodes a single QR code on the given image, if a bbox is given (recommended) it will only look within that delimited region. NOTE: This the only function you will need? Take a look at QRDet. The image must is expected to be in uint8 format, RGB. NumPy Array containing the image to decode. This method detects the QR codes in the image and returns the bounding boxes surrounding them in the format ( x1, y1, x2, y2). If return_bboxes is False, the output will look like: ('Decoded QR 1', 'Decoded QR 2', None, 'Decoded QR 4'. Returns: tuple | tuple, str | None]]: A tuple with all detected QR codes decodified. If True, it will also return the bboxes of each detected QR. The image is expected to be in uint8 format, RGB. This method will decode the QR codes in the given image and return the decoded strings (or None, if any of them could be detected but not decoded). To test the function we’ll load up an image of a lateral flow test result showing a QR code by passing the file path to the readqrcode () function we just created, then we’ll print out the value. API Reference tect_and_decode(image, return_bboxes = False) NOTE: Some entries can be None, it will happen when a QR have been detected but couldn't be decoded. detect_and_decode( image = image)ĭetect_and_decode will return a tuple containing the decoded string of every QR found in the image. # Use the detect_and_decode function to get the decoded QR data decoded_text = qreader. Currently, I am able to detect and decode the image reliably with pyzbar when I crop the image around the QR code using a window. We are using high quality industrial cameras and lenses, so images are generally good quality and in focus. # Get the image that contains the QR code (QReader expects an uint8 numpy array) image = cv2. The QR code can be at any location in the frame, but the orientation is expected to be normal, i.e. ![]() ![]() From qreader import QReader import cv2 # Create a QReader instance qreader = QReader() Decode QR Code Using QR Code Image You can decode information from the QR code image using Pythons OpenCV library. ![]()
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