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6489d8a96f
change the `while` loop to check if the two windows created by this example still exist, stop the program otherwise
86 lines
2.3 KiB
Python
Executable File
86 lines
2.3 KiB
Python
Executable File
#!/usr/bin/env python
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'''
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Watershed segmentation
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=========
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This program demonstrates the watershed segmentation algorithm
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in OpenCV: watershed().
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Usage
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-----
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watershed.py [image filename]
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Keys
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----
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1-7 - switch marker color
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SPACE - update segmentation
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r - reset
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a - toggle autoupdate
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ESC - exit
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'''
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# Python 2/3 compatibility
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from __future__ import print_function
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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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class App:
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def __init__(self, fn):
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self.img = cv2.imread(fn)
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if self.img is None:
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raise Exception('Failed to load image file: %s' % fn)
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h, w = self.img.shape[:2]
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self.markers = np.zeros((h, w), np.int32)
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self.markers_vis = self.img.copy()
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self.cur_marker = 1
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self.colors = np.int32( list(np.ndindex(2, 2, 2)) ) * 255
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self.auto_update = True
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self.sketch = Sketcher('img', [self.markers_vis, self.markers], self.get_colors)
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def get_colors(self):
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return list(map(int, self.colors[self.cur_marker])), self.cur_marker
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def watershed(self):
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m = self.markers.copy()
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cv2.watershed(self.img, m)
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overlay = self.colors[np.maximum(m, 0)]
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vis = cv2.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv2.CV_8UC3)
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cv2.imshow('watershed', vis)
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def run(self):
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while cv2.getWindowProperty('img', 0) != -1 or cv2.getWindowProperty('watershed', 0) != -1:
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ch = 0xFF & cv2.waitKey(50)
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if ch == 27:
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break
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if ch >= ord('1') and ch <= ord('7'):
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self.cur_marker = ch - ord('0')
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print('marker: ', self.cur_marker)
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if ch == ord(' ') or (self.sketch.dirty and self.auto_update):
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self.watershed()
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self.sketch.dirty = False
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if ch in [ord('a'), ord('A')]:
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self.auto_update = not self.auto_update
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print('auto_update if', ['off', 'on'][self.auto_update])
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if ch in [ord('r'), ord('R')]:
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self.markers[:] = 0
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self.markers_vis[:] = self.img
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self.sketch.show()
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cv2.destroyAllWindows()
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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 = '../data/fruits.jpg'
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print(__doc__)
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App(fn).run()
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