如何用opencv解码多幅图像条码

pip install opencv-python pyzbar

import cv2
from pyzbar.pyzbar import decode

def decode_barcodes(image_path):
    # 读取图像
    image = cv2.imread(image_path)
    if image is None:
        print(f"Error: Unable to open image file {image_path}")
        return []

    # 解码图像中的条码
    barcodes = decode(image)

    # 处理解码结果
    decoded_barcodes = []
    for barcode in barcodes:
        # 条码数据
        barcode_data = barcode.data.decode('utf-8')
        # 条码类型
        barcode_type = barcode.type
        # 条码位置
        (x, y, w, h) = barcode.rect
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
        cv2.putText(image, f"{barcode_data} ({barcode_type})", (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 0), 2)
        decoded_barcodes.append((barcode_data, barcode_type))

    # 显示结果图像
    cv2.imshow('Barcode/QR code reader', image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    return decoded_barcodes

# 使用函数解码多幅图像中的条码
image_paths = ['path_to_image1.jpg', 'path_to_image2.jpg', 'path_to_image3.jpg']
for path in image_paths:
    print(decode_barcodes(path))