41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
import cv2
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import numpy as np
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img = cv2.imread("data/flower.jpeg")
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img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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rows, cols = img.shape
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M1 = np.float32([
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[1, 0, 0],
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[0, -1, rows]
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])
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M2 = np.float32([
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[-1, 0, cols],
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[0, 1, 0]
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])
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M3 = np.float32([
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[2, 0, -int(cols/2)],
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[0, 2, -int(rows/2)]
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])
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dst1 = cv2.warpAffine(img, M1 ,(cols,rows))
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dst2 = cv2.warpAffine(img, M2 ,(cols,rows))
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dst3 = cv2.warpAffine(img, M3 ,(cols,rows))
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cv2.imshow("A", img)
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cv2.imshow("1", dst1)
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cv2.imshow("2", dst2)
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cv2.imshow("3", dst3)
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cv2.waitKey(0)
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cv2.imwrite("/home/kaiser/Schreibtisch/ownCloud/Vorlesung/DigitaleBildverarbeitung/Klausuren/Klausur_WS2021/images/flower_original.png", img)
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cv2.imwrite("/home/kaiser/Schreibtisch/ownCloud/Vorlesung/DigitaleBildverarbeitung/Klausuren/Klausur_WS2021/images/flower_1.png", dst1)
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cv2.imwrite("/home/kaiser/Schreibtisch/ownCloud/Vorlesung/DigitaleBildverarbeitung/Klausuren/Klausur_WS2021/images/flower_2.png", dst2)
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cv2.imwrite("/home/kaiser/Schreibtisch/ownCloud/Vorlesung/DigitaleBildverarbeitung/Klausuren/Klausur_WS2021/images/flower_3.png", dst3)
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