批量计算两个文件夹中的PSNR和SSIM

要批量计算两个文件夹中的PSNR和SSIM，需要编写一个脚本来自动化这个过程。这里给出一个Python的示例脚本，假设你已经安装了Python和OpenCV库。

import cv2
import os

def calculate_psnr_ssim(img1_path, img2_path):
    img1 = cv2.imread(img1_path)
    img2 = cv2.imread(img2_path)
    psnr = cv2.PSNR(img1, img2)
    ssim = cv2.SSIM(img1, img2)
    return psnr, ssim

def batch_calculate_psnr_ssim(folder1, folder2):
    img1_paths = sorted([os.path.join(folder1, filename) for filename in os.listdir(folder1)])
    img2_paths = sorted([os.path.join(folder2, filename) for filename in os.listdir(folder2)])
    assert len(img1_paths) == len(img2_paths), "Number of images in two folders must be the same"
    psnr_sum = 0
    ssim_sum = 0
    for img1_path, img2_path in zip(img1_paths, img2_paths):
        psnr, ssim = calculate_psnr_ssim(img1_path, img2_path)
        psnr_sum += psnr
        ssim_sum += ssim
    psnr_avg = psnr_sum / len(img1_paths)
    ssim_avg = ssim_sum / len(img1_paths)
    return psnr_avg, ssim_avg

if __name__ == '__main__':
    folder1 = 'path/to/folder1'
    folder2 = 'path/to/folder2'
    psnr_avg, ssim_avg = batch_calculate_psnr_ssim(folder1, folder2)
    print("Average PSNR: {:.2f}".format(psnr_avg))
    print("Average SSIM: {:.2f}".format(ssim_avg))

你需要将`path/to/folder1`和`path/to/folder2`分别替换为两个包含图像文件的文件夹的实际路径。然后运行脚本，它将自动计算两个文件夹中所有相同文件名的图像的平均PSNR和SSIM，并将结果输出到控制台。