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import cv2
import numpy as np

image = cv2.imread('images/input.jpg')

# Store height and width of the image
height, width = image.shape[:2]

quarter_height, quarter_width = height/4, width/4

#       | 1 0 Tx |
#  T  = | 0 1 Ty |

# T is our translation matrix
T = np.float32([[1, 0, quarter_width], [0, 1,quarter_height]])

# We use warpAffine to transform the image using the matrix, T
img_translation = cv2.warpAffine(image, T, (width, height))
cv2.imshow('Translation', img_translation)
cv2.waitKey()
cv2.destroyAllWindows()


    

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# Let's take a look at T

print T


    

    




[[   1.    0.  311.]
 [   0.    1.  207.]]

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