根据每个图像的平均像素值对图像列表进行排序

import cv2
import numpy as np

# 假设我们有一个图像路径列表
image_paths = ['path_to_image1.jpg', 'path_to_image2.jpg', 'path_to_image3.jpg']

# 定义一个函数来计算图像的平均像素值
def average_pixel_value(image_path):
    # 读取图像
    image = cv2.imread(image_path)
    # 计算平均像素值
    average_value = np.mean(image)
    return average_value

# 使用列表推导式和average_pixel_value函数来获取每个图像的平均像素值
average_values = [(path, average_pixel_value(path)) for path in image_paths]

# 根据平均像素值对图像路径进行排序
sorted_images = sorted(average_values, key=lambda x: x[1])

# 输出排序后的图像路径列表
sorted_image_paths = [path for path, avg in sorted_images]
print(sorted_image_paths)

pip install opencv-python-headless numpy