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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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