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Open Source Computer Vision Library
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51 lines
1.0 KiB
51 lines
1.0 KiB
#!/usr/bin/env python |
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''' |
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Inpainting sample. |
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Inpainting repairs damage to images by floodfilling |
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the damage with surrounding image areas. |
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Usage: |
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inpaint.py [<image>] |
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Keys: |
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SPACE - inpaint |
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r - reset the inpainting mask |
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ESC - exit |
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''' |
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import numpy as np |
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import cv2 |
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from common import Sketcher |
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if __name__ == '__main__': |
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import sys |
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try: |
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fn = sys.argv[1] |
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except: |
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fn = '../cpp/fruits.jpg' |
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print __doc__ |
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img = cv2.imread(fn) |
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if img is None: |
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print 'Failed to load image file:', fn |
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sys.exit(1) |
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img_mark = img.copy() |
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mark = np.zeros(img.shape[:2], np.uint8) |
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sketch = Sketcher('img', [img_mark, mark], lambda : ((255, 255, 255), 255)) |
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while True: |
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ch = 0xFF & cv2.waitKey() |
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if ch == 27: |
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break |
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if ch == ord(' '): |
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res = cv2.inpaint(img_mark, mark, 3, cv2.INPAINT_TELEA) |
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cv2.imshow('inpaint', res) |
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if ch == ord('r'): |
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img_mark[:] = img |
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mark[:] = 0 |
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sketch.show() |
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cv2.destroyAllWindows()
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