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< # slight modifications from
< # https://github.com/InsightSoftwareConsortium/ITKColorNormalization/blob/master/examples/ITKColorNormalization.ipynb
< # a couple of functions for my environment, ie JRS = True
< 
< JRS = True
< 
< def view(itk_image, title='', x=20, y=10):
<     """ arg itk_image from itk.imread(input_image_filename, PixelType);
<         convert to np array, use matplotlib to plot as usual
<     """
< 
<     # assumes 'img_path' a .png, .jpg, .tiff, ...
<     import numpy as np
<     import matplotlib.pyplot as plt
<     img = np.array(itk_image)
<     print(f' view:: img.shape={img.shape}, img.dtype={img.dtype}')
<     imgplot = plt.imshow(img)
<     plt.title(title)
<     fig = plt.gcf()
<     move_fig(fig,x,y)
<     plt.show()
< 
< import matplotlib as mp
< def move_fig(f, x, y):
<     """ Move figure's upper left corner to (x, y), pixel units """
<     backend = mp.get_backend()
<     assert backend == "TkAgg", "unable get get  TkAgg' as matplotlib backend"
<     f.canvas.manager.window.wm_geometry(f"+{x}+{y}")
< 
< # below ITK example of color normalization
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<     import os
<     #?? !{sys.executable} -m pip install itk-spcn
<     os.system("python3 -m pip install itk-spcn")
<     #?? !{sys.executable} -m pip install itkwidgets
<     os.system("python3 -m pip install itkwidgets")
---
>     !{sys.executable} -m pip install itk-spcn
>     !{sys.executable} -m pip install itkwidgets
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< if not JRS:
<     from itkwidgets import view
---
> from itkwidgets import view
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< BCH = True   # use Boston Children's Hospital test image
< if JRS:
<     if BCH:
<         input_image_filename = 'Test_1_0810.png'  # typical BCH (under-stained) data
<     else:
<         input_image_filename = 'Easy1.png'
< else:
<     input_image_filename = 'Easy1.png'
< 
---
> input_image_filename = 'Easy1.png'
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< 
< # view inputs before attempted color normalization
< view(input_image)
< view(reference_image)
<