In [1]:

    

%pylab inline


    

    




Populating the interactive namespace from numpy and matplotlib

In [ ]:

    

from hampy import HammingMarker

marker = HammingMarker(id=206135218)
img = (1 - marker.toimage(size=180)) * 255


    

In [3]:

    

imshow(img, cmap='Greys', interpolation='nearest')


    

    
Out[3]:





<matplotlib.image.AxesImage at 0x1124d8150>






    

In [4]:

    

marker = HammingMarker.generate()
img = (1 - marker.toimage(size=128)) * 255

imshow(img, cmap='Greys', interpolation='nearest')


    

    
Out[4]:





<matplotlib.image.AxesImage at 0x1125cd1d0>






    

In [5]:

    

import cv2

from hampy import detect_markers

img = cv2.imread('../../../Desktop/1.jpg')
img = cv2.cvtColor(img, cv2.cv.CV_BGR2RGB)
imshow(img)


    

    
Out[5]:





<matplotlib.image.AxesImage at 0x113755490>






    

In [6]:

    

markers = detect_markers(img)

for m in markers:
    print 'Found marker {} at {}'.format(m.id, m.center)
    m.draw_contour(img)
    
imshow(img)


    

    




Found marker 157557867 at [ 840.75  423.75]






    
Out[6]:





<matplotlib.image.AxesImage at 0x113df1ad0>






    

In [ ]: