In [15]:

    

import sys
sys.path.append('../code/functions/')
import tiffIO as io

import cv2
import time
import pickle

import numpy as np
import synapseLib as sl
import matplotlib.pyplot as plt

from skimage.exposure import equalize_adapthist
from skimage.feature import hog


from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly.graph_objs as go
init_notebook_mode(connected=True)


    

In [5]:

    

data = np.array(io.loadTiff('../data/rr46b_s0_ch1.tif'))


    

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equStack = np.stack([equalize_adapthist(img) for img in data])


    

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plt.figure()
plt.imshow(equStack[15], cmap='gray')
plt.show()


    

In [31]:

    

fd, hog_image = hog(data[15], orientations=8, pixels_per_cell=(16, 16),
                    cells_per_block=(1, 1), visualise=True)


    

In [32]:

    

plt.figure()
plt.imshow(hog_image, cmap='gray')
plt.show()


    

In [33]:

    




    

    




  File "<ipython-input-33-8bfb3a6abe26>", line 5
    
    ^
IndentationError: expected an indented block

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