![]() Qreader_out = qreader_tect_and_decode(image=img)Ĭv2_out = cv2_tectAndDecode(img=img) # Try to decode the QR code with the three readers Qreader_reader, cv2_reader, pyzbar_reader = QReader(), QRCodeDetector(), decodeįor img_path in ( 'test_mobile.jpeg', 'test_draw_64圆4.jpeg'): # Initialize the three tested readers (QRReader, OpenCV and pyzbar) The following code will try to decode these images containing QRs with QReader, pyzbar and OpenCV. ![]() At right, a 64圆4 QR pasted over a drawing. At left, an image taken with a mobile phone. 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). 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. 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). tect_and_decode(image, return_bboxes = False)
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