两个图像文件夹中的同名字图片进行比较SSIM，求出最终的均值SSIM的代码

你可以使用Python中的OpenCV库来计算两个图像之间的SSIM，以下是示例代码：

import cv2
import os

def calculate_ssim(img1, img2):
    # Convert the images to grayscale
    img1_gray = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
    img2_gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)

    # Calculate SSIM between the two images
    (score, diff) = cv2.compareSSIM(img1_gray, img2_gray, full=True)

    return score

# Path to folder containing first set of images
folder1_path = "/path/to/folder1"
# Path to folder containing second set of images
folder2_path = "/path/to/folder2"

# Get a list of the image files in both folders
folder1_files = os.listdir(folder1_path)
folder2_files = os.listdir(folder2_path)

# Loop through all the files and calculate SSIM for each pair
total_ssim = 0.0
for file1 in folder1_files:
    if file1 in folder2_files:
        # Load the images
        img1 = cv2.imread(os.path.join(folder1_path, file1))
        img2 = cv2.imread(os.path.join(folder2_path, file1))
        # Calculate SSIM
        ssim = calculate_ssim(img1, img2)
        total_ssim += ssim

# Calculate the average SSIM
avg_ssim = total_ssim / len(folder1_files)

print("Average SSIM:", avg_ssim)

这段代码将计算两个文件夹中同名图像的SSIM，并返回它们的平均值。请注意，这需要安装OpenCV库才能运行。