此代码可识别条形码和二维码，已封装好，拿来即用：

import cv2
import pyzbar.pyzbar as pyzbar
import numpy
from PIL import Image, ImageDraw, ImageFontclass CodeScan():def __init__(self):super(CodeScan, self).__init__()def decodeDisplay(self, imagex1):# 转为灰度图像gray = cv2.cvtColor(imagex1, cv2.COLOR_BGR2GRAY)barcodes = pyzbar.decode(gray)for barcode in barcodes:# 提取条形码的边界框的位置# 画出图像中条形码的边界框(x, y, w, h) = barcode.rectcv2.rectangle(imagex1, (x, y), (x + w, y + h), (0, 255, 0), 2)# 条形码数据为字节对象，所以如果我们想在输出图像上# 画出来，就需要先将它转换成字符串barcodeData = barcode.data.decode("utf-8")barcodeType = barcode.type#不能显示中文# 绘出图像上条形码的数据和条形码类型#text = "{} ({})".format(barcodeData, barcodeType)#cv2.putText(imagex1, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,5, (0, 0, 125), 2)#更换为：img_PIL = Image.fromarray(cv2.cvtColor(imagex1, cv2.COLOR_BGR2RGB))# 参数（字体，默认大小）# font = ImageFont.truetype('fontx/hwst.ttf', 35)# 字体颜色（rgb)fillColor = (0,255,255)# 文字输出位置position = (x, y-10)# 输出内容str = barcodeData# 需要先把输出的中文字符转换成Unicode编码形式(  str.decode("utf-8)   )draw = ImageDraw.Draw(img_PIL)# 转换回OpenCV格式imagex1 = cv2.cvtColor(numpy.asarray(img_PIL), cv2.COLOR_RGB2BGR)# 向终端打印条形码数据和条形码类型print("Result->类别:{0} 内容：{1}".format(barcodeType, barcodeData))cv2.imshow("camera", imagex1)def detect(self):camera = cv2.VideoCapture(0)while True:# 读取当前帧ret, frame = camera.read()#print(ret.shape)self.decodeDisplay(frame)if(cv2.waitKey(5)==27):breakcamera.release()cv2.destroyAllWindows()if __name__ == "__main__":scan = CodeScan()scan.detect()

结果：