Ytukyg

from __future__ import print_function

import pyzbar.pyzbar as pyzbar

import numpy as np

import cv2



def decode(im) : 

  # Find barcodes and QR codes

  decodedObjects = pyzbar.decode(im)



  # Print results

  for obj in decodedObjects:

    print('Type : ', obj.type)

    print('Data : ', obj.data,'n')



  return decodedObjects





# Display barcode and QR code location  

def display(im, decodedObjects):



  # Loop over all decoded objects

  for decodedObject in decodedObjects: 

    points = decodedObject.polygon



    # If the points do not form a quad, find convex hull

    if len(points) > 4 : 

      hull = cv2.convexHull(np.array([point for point in points], dtype=np.float32))

      hull = list(map(tuple, np.squeeze(hull)))

    else : 

      hull = points;



    # Number of points in the convex hull

    n = len(hull)



    # Draw the convext hull

    for j in range(0,n):

      cv2.line(im, hull[j], hull[ (j+1) % n], (255,0,0), 3)



  # Display results 

  cv2.imshow("Results", im);

  cv2.waitKey(0);





# Main 

if __name__ == '__main__':



  # Read image

  im = cv2.imread('zbar-test.jpg')



  decodedObjects = decode(im)

  display(im, decodedObjects)

from __future__ import print_function

import pyzbar.pyzbar as pyzbar

import numpy as np

import cv2



def decode(im) : 

  # Find barcodes and QR codes

  decodedObjects = pyzbar.decode(im)



  # Print results

  for obj in decodedObjects:

    print('Type : ', obj.type)

    print('Data : ', obj.data,'n')



  return decodedObjects





# Display barcode and QR code location  

def display(im, decodedObjects):



  # Loop over all decoded objects

  for decodedObject in decodedObjects: 

    points = decodedObject.polygon



    # If the points do not form a quad, find convex hull

    if len(points) > 4 : 

      hull = cv2.convexHull(np.array([point for point in points], dtype=np.float32))

      hull = list(map(tuple, np.squeeze(hull)))

    else : 

      hull = points;



    # Number of points in the convex hull

    n = len(hull)



    # Draw the convext hull

    for j in range(0,n):

      cv2.line(im, hull[j], hull[ (j+1) % n], (255,0,0), 3)



  # Display results 

  cv2.imshow("Results", im);

  cv2.waitKey(0);





# Main 

if __name__ == '__main__':



  # Read image

  im = cv2.imread('zbar-test.jpg')



  decodedObjects = decode(im)

  display(im, decodedObjects)

from __future__ import print_function

import pyzbar.pyzbar as pyzbar

import numpy as np

import cv2



def decode(im) : 

  # Find barcodes and QR codes

  decodedObjects = pyzbar.decode(im)



  # Print results

  for obj in decodedObjects:

    print('Type : ', obj.type)

    print('Data : ', obj.data,'n')



  return decodedObjects





# Display barcode and QR code location  

def display(im, decodedObjects):



  # Loop over all decoded objects

  for decodedObject in decodedObjects: 

    points = decodedObject.polygon



    # If the points do not form a quad, find convex hull

    if len(points) > 4 : 

      hull = cv2.convexHull(np.array([point for point in points], dtype=np.float32))

      hull = list(map(tuple, np.squeeze(hull)))

    else : 

      hull = points;



    # Number of points in the convex hull

    n = len(hull)



    # Draw the convext hull

    for j in range(0,n):

      cv2.line(im, hull[j], hull[ (j+1) % n], (255,0,0), 3)



  # Display results 

  cv2.imshow("Results", im);

  cv2.waitKey(0);





# Main 

if __name__ == '__main__':



  # Read image

  im = cv2.imread('zbar-test.jpg')



  decodedObjects = decode(im)

  display(im, decodedObjects)

from __future__ import print_function

import pyzbar.pyzbar as pyzbar

import numpy as np

import cv2



def decode(im) : 

  # Find barcodes and QR codes

  decodedObjects = pyzbar.decode(im)



  # Print results

  for obj in decodedObjects:

    print('Type : ', obj.type)

    print('Data : ', obj.data,'n')



  return decodedObjects





# Display barcode and QR code location  

def display(im, decodedObjects):



  # Loop over all decoded objects

  for decodedObject in decodedObjects: 

    points = decodedObject.polygon



    # If the points do not form a quad, find convex hull

    if len(points) > 4 : 

      hull = cv2.convexHull(np.array([point for point in points], dtype=np.float32))

      hull = list(map(tuple, np.squeeze(hull)))

    else : 

      hull = points;



    # Number of points in the convex hull

    n = len(hull)



    # Draw the convext hull

    for j in range(0,n):

      cv2.line(im, hull[j], hull[ (j+1) % n], (255,0,0), 3)



  # Display results 

  cv2.imshow("Results", im);

  cv2.waitKey(0);





# Main 

if __name__ == '__main__':



  # Read image

  im = cv2.imread('zbar-test.jpg')



  decodedObjects = decode(im)

  display(im, decodedObjects)

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