old_contents: """
  ========================
  CENSURE feature detector
  ========================
  
  The CENSURE feature detector is a scale-invariant center-surround detector
  (CENSURE) that claims to outperform other detectors and is capable of real-time
  implementation.
  """
  
  from skimage import data
  from skimage import transform as tf
  from skimage.feature import CENSURE
  from skimage.color import rgb2gray
  
  import matplotlib.pyplot as plt
  
  img_orig = rgb2gray(data.astronaut())
  tform = tf.AffineTransform(scale=(1.5, 1.5), rotation=0.5,
                             translation=(150, -200))
  img_warp = tf.warp(img_orig, tform)
  
  detector = CENSURE()
  
  fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(12, 6))
  plt.tight_layout()
  
  detector.detect(img_orig)
  
  ax[0].imshow(img_orig, cmap=plt.cm.gray)
  ax[0].axis('off')
  ax[0].scatter(detector.keypoints[:, 1], detector.keypoints[:, 0],
                2 ** detector.scales, facecolors='none', edgecolors='r')
  ax[0].set_title("Original Image")
  
  detector.detect(img_warp)
  
  ax[1].imshow(img_warp, cmap=plt.cm.gray)
  ax[1].axis('off')
  ax[1].scatter(detector.keypoints[:, 1], detector.keypoints[:, 0],
                2 ** detector.scales, facecolors='none', edgecolors='r')
  ax[1].set_title('Transformed Image')
  
  print('Transformed Image using AffineTransform parameters:')
  print('\tscale = 1.5')
  print('\trotation 28.6 degrees')
  print('\ttranslation X = 150  translation Y = -200')
  
  plt.show()
  
new_contents: """
  ========================
  CENSURE feature detector
  ========================
  
  The CENSURE feature detector is a scale-invariant center-surround detector
  (CENSURE) that claims to outperform other detectors and is capable of real-time
  implementation.
  """
  
  from skimage import data
  from skimage import transform as tf
  from skimage.feature import CENSURE
  from skimage.color import rgb2gray
  
  import matplotlib.pyplot as plt
  
  img_orig = rgb2gray(data.astronaut())
  tform = tf.AffineTransform(scale=(1.5, 1.5), rotation=0.5,
                             translation=(150, -200))
  img_warp = tf.warp(img_orig, tform)
  
  detector = CENSURE()
  
  fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(12, 6))
  plt.tight_layout()
  
  detector.detect(img_orig)
  
  ax[0].imshow(img_orig, cmap=plt.cm.gray)
  ax[0].axis('off')
  ax[0].scatter(detector.keypoints[:, 1], detector.keypoints[:, 0],
                2 ** detector.scales, facecolors='none', edgecolors='r')
  ax[0].set_title("Original Image")
  
  detector.detect(img_warp)
  
  ax[1].imshow(img_warp, cmap=plt.cm.gray)
  ax[1].axis('off')
  ax[1].scatter(detector.keypoints[:, 1], detector.keypoints[:, 0],
                2 ** detector.scales, facecolors='none', edgecolors='r')
  ax[1].set_title('Transformed Image')
  
  plt.show()
  
subject: Update plot_censure.py