基于python的二维码识别

from pyzbar import pyzbar
import cv2
import numpy as np

def image_detect(img):
    #QRdetecter = cv2.QRCodeDetector()
    barcodes = pyzbar.decode(img)
    print('识别结果为：',barcodes)
    for barcode in barcodes:# 循环读取检测到的条形码
        # 绘条形码、二维码多边形轮廓
        points =[]
        for point in barcode.polygon:
            points.append([point[0], point[1]])
        points = np.array(points,dtype=np.int32).reshape(-1,1, 2)
        cv2.polylines(img, [points], isClosed=True, color=(0,0,255),thickness=2)

        # 条形码数据为字节对象，所以如果我们想把它画出来
        # 需要先把它转换成字符串
        barcodeData = barcode.data.decode("UTF-8") #先解码成字符串
        barcodeType = barcode.type
        # 绘出图像上的条形码数据和类型
        text = "({}): {} ".format(barcodeType, barcodeData )
        #print('结果：',text)
        #cv2.putText(img, text, (x, y - 10),cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 2)
    cv2.imshow("QR", img)
    cv2.imwrite('QR.jpg',img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
    
if __name__ == '__main__':
    #img0 = cv2.imread("bar.jpg")
    img0 = cv2.imread("test.png")
    image_detect(img0)

测试结果：