initial commit

samples/python/watershed.py

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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()