In [3]:

    

from bubbly.extractors import RGBExtractor
from bubbly.dr1 import get_catalog, _on_args
import numpy as np
%pylab


    

    




Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].
For more information, type 'help(pylab)'.

In [147]:

    

from skimage.morphology import disk
from skimage.filter.rank import autolevel, percentile_autolevel, entropy

class ContrastExtractor(RGBExtractor):
    def _extract_rgb(self, rgb):
        d = disk(self.shp[0] / 5)
        result = rgb
        for i in range(3):
            result[:, :, i] = percentile_autolevel(result[:,:,i], d, p0=.1, p1=.9)
        return result


    

In [148]:

    

from skimage.morphology import disk
from skimage.filter.rank import autolevel

cat = get_catalog()

def multiview(args, ex):
    shp = ex.shp
    
    ex.shp = (40, 40)
    im1 = np.zeros((120, 120, 3), dtype=np.uint8)
    im1[:40, :40, :] = ex(int(args[0]), *args)
        
    ex.shp = (120, 120)
    im2 = ex(int(args[0]), *args)
    
    b = list(args)
    b[-1] *= 2
    im3 = ex(int(b[0]), *b)
    
    ex.shp = shp
    
    return np.hstack((im1, im2, im3))


    

In [152]:

    

import bubbly.util
reload(bubbly.util)
rcParams['figure.figsize'] = (14, 9)
row = 1

ex = ContrastExtractor()
ex2 = RGBExtractor()

args = list(_on_args(cat, row))
args[0] += .3 * 1

imshow(multiview(args, ex))
show()
imshow(multiview(args, ex2))


    

    













    
Out[152]:





<matplotlib.image.AxesImage at 0x1209dc990>






    

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