In [2]:

    

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


    

    




Populating the interactive namespace from numpy and matplotlib

In [3]:

    

import os
import sys
sys.path.append(os.path.join(os.getcwd(), 'python'))


    

In [19]:

    

from mvq import path, data_path, images_path, videos_path


    

In [24]:

    

road_img = os.path.join(images_path, 'road.jpg')
img = cv2.imread(road_img, cv2.IMREAD_COLOR)


    

In [41]:

    

cv2.rectangle(img, (100, 300), (200, 400), (0, 255, 255), 2);
edges = cv2.Canny(img,150,300);


    

In [42]:

    

plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB));


    

In [43]:

    

plt.imshow(edges, cmap='gray')


    

    
Out[43]:





<matplotlib.image.AxesImage at 0x7f43e984e278>






    

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