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Typing fix in tests for modern Numpy

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This commit is contained in:
Alexander Smorkalov
2026-01-02 16:30:28 +03:00
parent fe38fc608f
commit b4c5ec4042
2 changed files with 8 additions and 8 deletions
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modules/python/test/test_fitline.py
+1 -1
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@@ -55,7 +55,7 @@ class fitline_test(NewOpenCVTests):
for name in dist_func_names: for name in dist_func_names:
func = getattr(cv, name) func = getattr(cv, name)
vx, vy, cx, cy = cv.fitLine(np.float32(points), func, 0, 0.01, 0.01) vx, vy, cx, cy = cv.fitLine(np.float32(points), func, 0, 0.01, 0.01)
line = [float(vx), float(vy), float(cx), float(cy)] line = [vx[0], vy[0], cx[0], cy[0]]
lines.append(line) lines.append(line)
eps = 0.05 eps = 0.05
modules/python/test/test_mser.py
+7 -7
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@@ -8,6 +8,7 @@ from __future__ import print_function
import numpy as np import numpy as np
import cv2 as cv import cv2 as cv
import random
from tests_common import NewOpenCVTests from tests_common import NewOpenCVTests
@@ -31,19 +32,18 @@ class mser_test(NewOpenCVTests):
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255], [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255],
[255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255] [255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255]
] ]
thresharr = [ 0, 70, 120, 180, 255 ]
kDelta = 5 kDelta = 5
mserExtractor = cv.MSER_create() mserExtractor = cv.MSER_create()
mserExtractor.setDelta(kDelta) mserExtractor.setDelta(kDelta)
np.random.seed(10) random.seed(10)
for _i in range(100): for _i in range(100):
use_big_image = int(np.random.rand(1,1)*7) != 0 use_big_image = random.choice([True, False])
invert = int(np.random.rand(1,1)*2) != 0 invert = random.choice([True, False])
binarize = int(np.random.rand(1,1)*5) != 0 if use_big_image else False binarize = random.choice([True, False]) if use_big_image else False
blur = int(np.random.rand(1,1)*2) != 0 blur = random.choice([True, False])
thresh = thresharr[int(np.random.rand(1,1)*5)] thresh = random.choice([0, 70, 120, 180, 255])
src0 = img if use_big_image else np.array(smallImg).astype('uint8') src0 = img if use_big_image else np.array(smallImg).astype('uint8')
src = src0.copy() src = src0.copy()