1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
|
#!/usr/bin/env python
'''
Watershed segmentation test
'''
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class watershed_test(NewOpenCVTests):
def test_watershed(self):
img = self.get_sample('cv/inpaint/orig.png')
markers = self.get_sample('cv/watershed/wshed_exp.png', 0)
refSegments = self.get_sample('cv/watershed/wshed_segments.png')
if img is None or markers is None:
self.assertEqual(0, 1, 'Missing test data')
colors = np.int32( list(np.ndindex(3, 3, 3)) ) * 122
cv.watershed(img, np.int32(markers))
segments = colors[np.maximum(markers, 0)]
if refSegments is None:
refSegments = segments.copy()
cv.imwrite(self.extraTestDataPath + '/cv/watershed/wshed_segments.png', refSegments)
self.assertLess(cv.norm(segments - refSegments, cv.NORM_L1) / 255.0, 50)
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
|
