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Open Source Computer Vision Library
https://opencv.org/
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65 lines
1.8 KiB
65 lines
1.8 KiB
import numpy as np |
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import cv2 |
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help_message = '''USAGE: floodfill.py [<image>] |
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Click on the image to set seed point |
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Keys: |
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f - toggle floating range |
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c - toggle 4/8 connectivity |
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ESC - exit |
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''' |
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if __name__ == '__main__': |
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import sys |
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try: fn = sys.argv[1] |
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except: fn = '../cpp/fruits.jpg' |
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print help_message |
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img = cv2.imread(fn, True) |
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h, w = img.shape[:2] |
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mask = np.zeros((h+2, w+2), np.uint8) |
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seed_pt = None |
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fixed_range = True |
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connectivity = 4 |
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def update(dummy=None): |
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if seed_pt is None: |
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cv2.imshow('floodfill', img) |
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return |
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flooded = img.copy() |
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mask[:] = 0 |
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lo = cv2.getTrackbarPos('lo', 'floodfill') |
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hi = cv2.getTrackbarPos('hi', 'floodfill') |
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flags = connectivity |
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if fixed_range: |
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flags |= cv2.FLOODFILL_FIXED_RANGE |
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cv2.floodFill(flooded, mask, seed_pt, (255, 255, 255), (lo,)*3, (hi,)*3, flags) |
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cv2.circle(flooded, seed_pt, 2, (0, 0, 255), -1) |
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cv2.imshow('floodfill', flooded) |
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def onmouse(event, x, y, flags, param): |
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global seed_pt |
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if flags & cv2.EVENT_FLAG_LBUTTON: |
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seed_pt = x, y |
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update() |
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update() |
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cv2.setMouseCallback('floodfill', onmouse) |
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cv2.createTrackbar('lo', 'floodfill', 20, 255, update) |
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cv2.createTrackbar('hi', 'floodfill', 20, 255, update) |
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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('f'): |
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fixed_range = not fixed_range |
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print 'using %s range' % ('floating', 'fixed')[fixed_range] |
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update() |
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if ch == ord('c'): |
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connectivity = 12-connectivity |
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print 'connectivity =', connectivity |
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update() |
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cv2.destroyAllWindows()
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