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3rdparty/opencv-4.5.4/samples/python/watershed.py 2.31 KB
f4334277   Hu Chunming   提交3rdparty
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  #!/usr/bin/env python
  
  '''
  Watershed segmentation
  =========
  
  This program demonstrates the watershed segmentation algorithm
  in OpenCV: watershed().
  
  Usage
  -----
  watershed.py [image filename]
  
  Keys
  ----
    1-7   - switch marker color
    SPACE - update segmentation
    r     - reset
    a     - toggle autoupdate
    ESC   - exit
  
  '''
  
  
  # Python 2/3 compatibility
  from __future__ import print_function
  
  import numpy as np
  import cv2 as cv
  from common import Sketcher
  
  class App:
      def __init__(self, fn):
          self.img = cv.imread(fn)
          if self.img is None:
              raise Exception('Failed to load image file: %s' % fn)
  
          h, w = self.img.shape[:2]
          self.markers = np.zeros((h, w), np.int32)
          self.markers_vis = self.img.copy()
          self.cur_marker = 1
          self.colors = np.int32( list(np.ndindex(2, 2, 2)) ) * 255
  
          self.auto_update = True
          self.sketch = Sketcher('img', [self.markers_vis, self.markers], self.get_colors)
  
      def get_colors(self):
          return list(map(int, self.colors[self.cur_marker])), self.cur_marker
  
      def watershed(self):
          m = self.markers.copy()
          cv.watershed(self.img, m)
          overlay = self.colors[np.maximum(m, 0)]
          vis = cv.addWeighted(self.img, 0.5, overlay, 0.5, 0.0, dtype=cv.CV_8UC3)
          cv.imshow('watershed', vis)
  
      def run(self):
          while cv.getWindowProperty('img', 0) != -1 or cv.getWindowProperty('watershed', 0) != -1:
              ch = cv.waitKey(50)
              if ch == 27:
                  break
              if ch >= ord('1') and ch <= ord('7'):
                  self.cur_marker = ch - ord('0')
                  print('marker: ', self.cur_marker)
              if ch == ord(' ') or (self.sketch.dirty and self.auto_update):
                  self.watershed()
                  self.sketch.dirty = False
              if ch in [ord('a'), ord('A')]:
                  self.auto_update = not self.auto_update
                  print('auto_update if', ['off', 'on'][self.auto_update])
              if ch in [ord('r'), ord('R')]:
                  self.markers[:] = 0
                  self.markers_vis[:] = self.img
                  self.sketch.show()
          cv.destroyAllWindows()
  
  
  if __name__ == '__main__':
      print(__doc__)
      import sys
      try:
          fn = sys.argv[1]
      except:
          fn = 'fruits.jpg'
      App(cv.samples.findFile(fn)).run()