text: ## 没有写自己的代码，复制的 https://cloud.tencent.com/developer/article/1438942 的代码，看看效果
  ## 依赖 opencv-python, numpy, scikit-image包
  
  import numpy as np
  import matplotlib.pyplot as plt
  from skimage.measure import compare_ssim
  import cv2
  
  
  origin = cv2.imread('c.jpg', 0)
  dark = (origin*0.9).astype('uint8')
  blur = cv2.GaussianBlur(origin, (5,5), 0)
  
  # mse_dark = np.mean((origin-dark)**2)
  # mse_blur = np.mean((origin-blur)**2)
  ssim_dark = compare_ssim(origin, dark)
  ssim_blur = compare_ssim(origin, blur)
  
  fig, axes = plt.subplots(1, 3)
  axes[0].imshow(origin, 'gray')
  axes[0].title.set_text('origin')
  axes[0].axis('off')
  
  axes[1].imshow(dark, 'gray')
  axes[1].title.set_text('0.9 dark ssim: {:.2f}'.format(ssim_dark))
  axes[1].axis('off')
  
  axes[2].imshow(blur, 'gray')
  axes[2].title.set_text('blur ssim: {:.2f}'.format(ssim_blur))
  axes[2].axis('off')
  
  plt.show()
  
  print('SSIM dark : {}'.format(ssim_dark))
  print('SSIM blur : {}'.format(ssim_blur))