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https://github.com/opencv/opencv.git
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e75df56317
This makes arguments of type InputOutputArray required in python unless they have a default value in C++. As result following python functions changes signatures in non-trivial way: * calcOpticalFlowFarneback * calcOpticalFlowPyrLK * calibrateCamera * findContours * findTransformECC * floodFill * kmeans * PCACompute * stereoCalibrate And the following functions become return their modified inputs as a return value: * accumulate * accumulateProduct * accumulateSquare * accumulateWeighted * circle * completeSymm * cornerSubPix * drawChessboardCorners * drawContours * drawDataMatrixCodes * ellipse * fillConvexPoly * fillPoly * filterSpeckles * grabCut * insertChannel * line * patchNaNs * polylines * randn * randShuffle * randu * rectangle * setIdentity * updateMotionHistory * validateDisparity * watershed
78 lines
1.9 KiB
Python
Executable File
78 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python
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'''
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Floodfill sample.
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Usage:
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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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import numpy as np
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import cv2
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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, True)
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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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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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