import cv2
import numpy as np

def pack_images(image_paths, quality_levels):
    '''将多张图片按照逐步减小的质量打包到一个数组中'''
    images = []

    # 读取图片并加入到列表中
    for path in image_paths:
        image = cv2.imread(path)
        images.append(image)

    # 将图像数组转换为字节串数组
    image_bytes = []
    for img in images:
        _, encoded_img = cv2.imencode('.jpg', img)
        image_bytes.append(encoded_img)

    # 打包图像并逐步降低质量
    packed_image = image_bytes[0]
    for i in range(1, len(image_bytes)):
        packed_image = np.concatenate([packed_image, image_bytes[i]])

        if i in quality_levels:
            _, packed_image = cv2.imdecode(packed_image, cv2.IMREAD_UNCHANGED)
            _, encoded_packed_image = cv2.imencode('.jpg', packed_image, [cv2.IMWRITE_JPEG_QUALITY, 90 - i * 10])
            packed_image = encoded_packed_image

    # 最后一次解码
    _, packed_image = cv2.imdecode(packed_image, cv2.IMREAD_UNCHANGED)

    return packed_image

示例用法：

image_paths = ['img1.jpg', 'img2.jpg', 'img3.jpg']
quality_levels = [1, 2, 3]

packed_image = pack_images(image_paths, quality_levels)

# 保存打包后的图像
with open('packed_image.jpg', 'wb') as f:
    f.write(packed_image)

此函数将读取传递的图像路径数组并将它们打包成一个字节数组。逐步降低图像的质量，以使结果文件更小。返回的是打包后的图像字节串数组。