import micropip
await micropip.install("python-barcode")
import barcode
barcode.PROVIDED_BARCODES
from barcode.writer import ImageWriter
gs1_128 = barcode.get_barcode_class('gs1_128')
from IPython.display import SVG, display
gs1_128 = barcode.get_barcode_class('gs1_128')
my_gs1 = gs1_128('00006141411234567890', writer=ImageWriter)
fullname = my_gs1.save('gs1_barcode')
display(SVG(fullname))

# writing QRcode "de base"


# check jupyterlite ok
import micropip
await micropip.install("qrcode")

import qrcode
from IPython.display import Image, display
img = qrcode.make('artisou à croûte')
img.save("test.png")
display(Image(filename='test.png'))

# reading QRcode
# import the opencv library
import cv2

# define a video capture object
vid = cv2.VideoCapture(0)

detector = cv2.QRCodeDetector()

while True:

    # Capture the video frame by frame
    ret, frame = vid.read()

    data, bbox, straight_qrcode = detector.detectAndDecode(frame)
    if len(data) > 0:
        print(data)

    # Display the resulting frame
    cv2.imshow('frame', frame)

    # the 'q' button is set as the
    # quitting button you may use any
    # desired button of your choice
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# After the loop release the cap object
vid.release()
# Destroy all the windows
cv2.destroyAllWindows()

import numpy as np
import cv2
from pylibdmtx import pylibdmtx

if __name__ == '__main__':

    image = cv2.imread('datamatrix_sample.png', cv2.IMREAD_UNCHANGED);
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    ret,thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)

    msg = pylibdmtx.decode(thresh)
    print(msg)