Created
August 12, 2020 06:02
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Demonstation of OpenCV image transformation techniques (Scaling and Rotation)
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import numpy as np | |
import cv2 | |
img = cv2.imread("image.jpg") | |
# Scale | |
img_half = cv2.resize(img,(0,0),fx=0.5,fy=0.5) | |
img_stretch = cv2.resize(img,(600,600)) | |
img_stretch_near = cv2.resize(img,(600,600),interpolation=cv2.INTER_NEAREST) | |
cv2.inshow(img_half) | |
cv2.inshow(img_stretch) | |
cv2.inshow(img_stretch_near) | |
# Rotation | |
M = cv2.getRotationMatrix2D((0,0),-30,1) # Origin, Degrees and 1 | |
rotated = cv2.warpAffine(img,M,(img.shape[1],img.shape[0])) | |
cv2.imshow("Rotated",rotated) | |
cv2.waitKey(0) | |
cv2.destroyAllWindows() |
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