In [1]:

    

import glob
import config as cfg
import segmentation as seg
import matplotlib.pyplot as plt
import scipy.ndimage as I
from skimage.util import img_as_uint
from skimage import color, filter


    

In [2]:

    

params = cfg.read_gztf_config("trailfinder.cfg")


    

In [3]:

    

files = glob.glob(params["images_root"]+"*.jpg")


    

In [4]:

    

#im=I.imread(params["images_root"]+"1237645942908780771.jpg")
im=I.imread(files[891])
imshow(im)


    

    
Out[4]:





<matplotlib.image.AxesImage at 0x79d94e0>






    

In [92]:

    

imshow(seg.binarize(im))


    

    
Out[92]:





<matplotlib.image.AxesImage at 0x19841908>






    

In [93]:

    

\imshow(filter.canny(color.rgb2gray(im),sigma=2), cmap=cm.gray)
plt.colorbar()


    

    
Out[93]:





<matplotlib.colorbar.Colorbar instance at 0x000000001A495708>






    

In [94]:

    

imshow(filter.scharr(color.rgb2gray(im)), cmap=cm.gray)
plt.colorbar()


    

    
Out[94]:





<matplotlib.colorbar.Colorbar instance at 0x000000001A699EC8>






    

In [95]:

    

thresh = filter.threshold_otsu(im)
binary = im >= thresh
imshow(filter.canny(color.rgb2gray(binary)), cmap=cm.gray)
plt.colorbar()


    

    
Out[95]:





<matplotlib.colorbar.Colorbar instance at 0x000000001A7FD6C8>






    

In [ ]: