In [2]:

    

%matplotlib inline


    

In [2]:

    

import pyhog
import numpy as np
import matplotlib.pyplot as pl
from scipy.misc import imread, imrotate


    

In [5]:

    

# just a random VOC2012 image
img = (imread('2007_006449.jpg').astype(np.float64)/255.0)
pl.imshow(img)
pl.axis('off')


    

    
Out[5]:





(-0.5, 499.5, 374.5, -0.5)






    

In [6]:

    

hog = pyhog.features_pedro(img, 30)
hog.shape


    

    
Out[6]:





(11, 15, 31)

In [7]:

    

hog_pic = pyhog.hog_picture(hog)


    

In [8]:

    

pl.gray()
pl.imshow(hog_pic, vmin=0.0, vmax=3.0) # clip a bit for visibility
pl.axis('off')


    

    
Out[8]:





(-0.5, 299.5, 219.5, -0.5)