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python: 'cv2.' -> 'cv.' via 'import cv2 as cv'

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This commit is contained in:
Alexander Alekhin
2017-12-11 12:55:03 +03:00
parent 9665dde678
commit 5560db73bf
162 changed files with 2083 additions and 2084 deletions
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modules/python/test/test_gaussian_mix.py
+5 -5
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@@ -10,7 +10,7 @@ if PY3:
import numpy as np
from numpy import random
import cv2
import cv2 as cv
def make_gaussians(cluster_n, img_size):
points = []
@@ -38,9 +38,9 @@ class gaussian_mix_test(NewOpenCVTests):
points, ref_distrs = make_gaussians(cluster_n, img_size)
em = cv2.ml.EM_create()
em = cv.ml.EM_create()
em.setClustersNumber(cluster_n)
em.setCovarianceMatrixType(cv2.ml.EM_COV_MAT_GENERIC)
em.setCovarianceMatrixType(cv.ml.EM_COV_MAT_GENERIC)
em.trainEM(points)
means = em.getMeans()
covs = em.getCovs() # Known bug: https://github.com/opencv/opencv/pull/4232
@@ -53,8 +53,8 @@ class gaussian_mix_test(NewOpenCVTests):
for i in range(cluster_n):
for j in range(cluster_n):
if (cv2.norm(means[i] - ref_distrs[j][0], cv2.NORM_L2) / cv2.norm(ref_distrs[j][0], cv2.NORM_L2) < meanEps and
cv2.norm(covs[i] - ref_distrs[j][1], cv2.NORM_L2) / cv2.norm(ref_distrs[j][1], cv2.NORM_L2) < covEps):
if (cv.norm(means[i] - ref_distrs[j][0], cv.NORM_L2) / cv.norm(ref_distrs[j][0], cv.NORM_L2) < meanEps and
cv.norm(covs[i] - ref_distrs[j][1], cv.NORM_L2) / cv.norm(ref_distrs[j][1], cv.NORM_L2) < covEps):
matches_count += 1
self.assertEqual(matches_count, cluster_n)