import glob, os
print(glob.glob('/data/*'))
from skimage.io import imread
rawImage = imread('/data/rawimage.png')

from skimage import io
from matplotlib import pyplot as plt
from matplotlib.pyplot import figure

figure(figsize=(12, 18), dpi=80)
io.imshow(rawImage)
plt.show()

tile = rawImage[:256,:256]

figure(figsize=(5, 5), dpi=80)
io.imshow(tile)
plt.show()

from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
from skimage.exposure import adjust_log, equalize_adapthist
from skimage.filters import median

def imageProcessing(contrastAmount = 0, medianAmount = 0, logAmount = 0, image = None):

 image = image.astype('float32')
 image = image/image.max()

 contrastAdjusted = equalize_adapthist(image.copy())
 image = contrastAmount*contrastAdjusted+(1-contrastAmount)*image

 medianAdjusted = median(image.copy())
 image = medianAmount*medianAdjusted+(1-medianAmount)*image

 logAdjusted = adjust_log(image.copy())
 image = logAmount*logAdjusted+(1-logAmount)*image

 figure(figsize=(5, 5), dpi=80)
 io.imshow(image)
 plt.show()

print(tile.shape)

func = lambda contrastAmount, medianAmount, logAmount: imageProcessing(contrastAmount, medianAmount,logAmount, image=tile)
interact(func, contrastAmount=(0,1,.1), medianAmount = (0,1,.1),logAmount = (0,1,.1));