mirror of
https://github.com/opencv/opencv.git
synced 2024-12-02 16:00:17 +08:00
33 lines
974 B
Python
33 lines
974 B
Python
#!/usr/bin/env python
|
|
|
|
'''
|
|
Watershed segmentation test
|
|
'''
|
|
|
|
# Python 2/3 compatibility
|
|
from __future__ import print_function
|
|
|
|
import numpy as np
|
|
import cv2
|
|
|
|
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
|
|
cv2.watershed(img, np.int32(markers))
|
|
segments = colors[np.maximum(markers, 0)]
|
|
|
|
if refSegments is None:
|
|
refSegments = segments.copy()
|
|
cv2.imwrite(self.extraTestDataPath + '/cv/watershed/wshed_segments.png', refSegments)
|
|
|
|
self.assertLess(cv2.norm(segments - refSegments, cv2.NORM_L1) / 255.0, 50) |