提交 aaa43dc8 编写于 作者: V Vladislav Sovrasov

Add morphology python test, fix python3 compabtibility in kmeans test

上级 56571561
......@@ -28,6 +28,7 @@ from test_houghlines import houghlines_test
from test_gaussian_mix import gaussian_mix_test
from test_facedetect import facedetect_test
from test_kmeans import kmeans_test
from test_morphology import morphology_test
# Python 3 moved urlopen to urllib.requests
try:
......
......@@ -10,10 +10,13 @@ from __future__ import print_function
import numpy as np
import cv2
from numpy import random
import sys
PY3 = sys.version_info[0] == 3
if PY3:
xrange = range
from tests_common import NewOpenCVTests
def make_gaussians(cluster_n, img_size):
points = []
ref_distrs = []
......@@ -53,12 +56,6 @@ class kmeans_test(NewOpenCVTests):
cluster_n = 5
img_size = 512
# generating bright palette
colors = np.zeros((1, cluster_n, 3), np.uint8)
colors[0,:] = 255
colors[0,:,0] = np.arange(0, 180, 180.0/cluster_n)
colors = cv2.cvtColor(colors, cv2.COLOR_HSV2BGR)[0]
points, _, clusterSizes = make_gaussians(cluster_n, img_size)
term_crit = (cv2.TERM_CRITERIA_EPS, 30, 0.1)
......
#!/usr/bin/env python
'''
Morphology operations.
'''
# Python 2/3 compatibility
from __future__ import print_function
import sys
PY3 = sys.version_info[0] == 3
import numpy as np
import cv2
from tests_common import NewOpenCVTests
class morphology_test(NewOpenCVTests):
def test_morphology(self):
fn = 'samples/data/baboon.jpg'
img = self.get_sample(fn)
modes = ['erode/dilate', 'open/close', 'blackhat/tophat', 'gradient']
str_modes = ['ellipse', 'rect', 'cross']
referenceHashes = { modes[0]: '1bd14fc814e41b80ce7816bc04f60b65', modes[1] : '1bd14fc814e41b80ce7816bc04f60b65',
modes[2] : 'cb18a5d28e77522dfec6a6255bc3847e', modes[3] : '84909517e4866aa079f4b2e2906bf47b'}
def update(cur_mode):
cur_str_mode = str_modes[0]
sz = 10
iters = 1
opers = cur_mode.split('/')
if len(opers) > 1:
sz = sz - 10
op = opers[sz > 0]
sz = abs(sz)
else:
op = opers[0]
sz = sz*2+1
str_name = 'MORPH_' + cur_str_mode.upper()
oper_name = 'MORPH_' + op.upper()
st = cv2.getStructuringElement(getattr(cv2, str_name), (sz, sz))
return cv2.morphologyEx(img, getattr(cv2, oper_name), st, iterations=iters)
for mode in modes:
res = update(mode)
self.assertEqual(self.hashimg(res), referenceHashes[mode])
\ No newline at end of file
......@@ -40,7 +40,7 @@ class NewOpenCVTests(unittest.TestCase):
def hashimg(self, im):
""" Compute a hash for an image, useful for image comparisons """
return hashlib.md5(im.tostring()).digest()
return hashlib.md5(im.tostring()).hexdigest()
if sys.version_info[:2] == (2, 6):
def assertLess(self, a, b, msg=None):
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册