In [54]:

    

import cv2, matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline


    

In [60]:

    

pic_name = "M3RQJCg-1200"


    

In [61]:

    

pic = cv2.imread(pic_name + ".jpg")


    

In [62]:

    

pic_preprocessed  = cv2.cvtColor(cv2.GaussianBlur(pic, (7,7), 0), cv2.COLOR_BGR2GRAY)


    

In [68]:

    

pic_edges = cv2.bitwise_not(cv2.Canny(pic_preprocessed, threshold1=20, threshold2=60))
plt.imshow(cv2.cvtColor(pic_edges, cv2.COLOR_GRAY2RGB))


    

    
Out[68]:





<matplotlib.image.AxesImage at 0x23d9353d048>






    

In [69]:

    

cv2.imwrite(pic_name + "_edges.jpg", pic_edges)


    

    
Out[69]:





True

In [ ]:

    

plt.i