二维码，条形码——检测

import cv2
import numpy
import pyzbar
from pyzbar.pyzbar import decode
#静态码识别
# path = 'aa.jpg '
# img = cv2.imread(path)
# # from PIL import Image
# # img = Image.open('aa.jpg')
# for barcode in decode(img):
#     print(barcode.data) #码的内容 b:二进制
#     print(barcode.rect) #码的位置
#     print(barcode.type) #码的类型 QRCODE:二维码
#     myData = barcode.data.decode('utf-8')
#     print(myData)


#动态码识别
video = cv2.VideoCapture(0)

while True:
    flag,img = video.read()
    for barcode in decode(img):
        myData = barcode.data.decode('utf-8')
        print(myData)
        pts = numpy.array([barcode.polygon],numpy.int32)
        pts = pts.reshape((-1,1,2))
        cv2.polylines(img,[pts],True,(255,0,255),5)
        pts2 = barcode.rect
        cv2.putText(img,myData,(pts2[0],pts2[1]),cv2.FONT_HERSHEY_SIMPLEX,0.9,(255,0,255),2)
    cv2.imshow('result',img)
    cv2.waitKey(1)

#动态对比
# with open() as f:
#     mydatalist = f.read().splitlines()
# mydatalist = ['6931885788995','111111']
# print(mydatalist)
# video = cv2.VideoCapture(0)
# video.set(3,500)
# video.set(4,700)
# while True:
#     flag,img = video.read()
#     for barcode in decode(img):
#         myData = barcode.data.decode('utf-8')
#         print(myData)
#         if myData in mydatalist:
#             myOutput = 'Authorized'
#             myColor = (0,255,0)
#         else :
#             myOutput= 'Un-Authorized'
#             myColor = (0,0,255)
#         pts = numpy.array([barcode.polygon],numpy.int32)
#         pts = pts.reshape((-1,1,2))
#         cv2.polylines(img,[pts],True,(255,0,255),5)
#         pts2 = barcode.rect
#         cv2.putText(img,myOutput,(pts2[0],pts2[1]),cv2.FONT_HERSHEY_SIMPLEX,0.9,myColor,2)
#     cv2.imshow('result',img)
#     cv2.waitKey(1)