vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

This commit is contained in:
Gitea Mirror Bot
2026-08-22 00:11:13 +08:00
commit 12022378a3
3872 changed files with 2513409 additions and 0 deletions
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#!/usr/bin/env python
import os
import cv2 as cv
import numpy as np
from tests_common import NewOpenCVTests, unittest
class xfeatures2d_test(NewOpenCVTests):
def setUp(self):
super(xfeatures2d_test, self).setUp()
if not cv.cuda.getCudaEnabledDeviceCount():
self.skipTest("No CUDA-capable device is detected")
@unittest.skipIf('OPENCV_TEST_DATA_PATH' not in os.environ,
"OPENCV_TEST_DATA_PATH is not defined")
def test_surf(self):
img_path = os.environ['OPENCV_TEST_DATA_PATH'] + "/gpu/features2d/aloe.png"
hessianThreshold = 100
nOctaves = 3
nOctaveLayers = 2
extended = False
keypointsRatio = 0.05
upright = False
npMat = cv.cvtColor(cv.imread(img_path),cv.COLOR_BGR2GRAY)
cuMat = cv.cuda_GpuMat(npMat)
try:
cuSurf = cv.cuda_SURF_CUDA.create(hessianThreshold,nOctaves,nOctaveLayers,extended,keypointsRatio,upright)
surf = cv.xfeatures2d_SURF.create(hessianThreshold,nOctaves,nOctaveLayers,extended,upright)
except cv.error as e:
self.assertEqual(e.code, cv.Error.StsNotImplemented)
self.skipTest("OPENCV_ENABLE_NONFREE is not enabled in this build.")
cuKeypoints = cuSurf.detect(cuMat,cv.cuda_GpuMat())
keypointsHost = cuSurf.downloadKeypoints(cuKeypoints)
keypoints = surf.detect(npMat)
self.assertTrue(len(keypointsHost) == len(keypoints))
cuKeypoints, cuDescriptors = cuSurf.detectWithDescriptors(cuMat,cv.cuda_GpuMat(),cuKeypoints,useProvidedKeypoints=True)
keypointsHost = cuSurf.downloadKeypoints(cuKeypoints)
descriptorsHost = cuDescriptors.download()
keypoints, descriptors = surf.compute(npMat,keypoints)
self.assertTrue(len(keypointsHost) == len(keypoints) and descriptorsHost.shape == descriptors.shape)
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
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#!/usr/bin/env python
# Python 2/3 compatibility
from __future__ import print_function
import os
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class MSDDetector_test(NewOpenCVTests):
def test_create(self):
msd = cv.xfeatures2d.MSDDetector_create()
self.assertFalse(msd is None)
img1 = np.zeros((100, 100, 3), dtype=np.uint8)
kp1_ = msd.detect(img1, None)
class matchLOGOS_test(NewOpenCVTests):
def test_basic(self):
frame = self.get_sample('python/images/baboon.png', cv.IMREAD_COLOR)
detector = cv.xfeatures2d.AKAZE_create(threshold = 0.003)
keypoints1, descrs1 = detector.detectAndCompute(frame, None)
keypoints2, descrs2 = detector.detectAndCompute(frame, None)
matches1to2 = cv.xfeatures2d.matchLOGOS(keypoints1, keypoints2, range(len(keypoints1)), range(len(keypoints2)))
self.assertFalse(matches1to2 is None)
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
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#!/usr/bin/env python
# Python 2/3 compatibility
from __future__ import print_function
import os
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class sift_compatibility_test(NewOpenCVTests):
def test_create(self):
sift = cv.xfeatures2d.SIFT_create()
self.assertFalse(sift is None)
img1 = np.zeros((100, 100, 3), dtype=np.uint8)
kp1_, des1_ = sift.detectAndCompute(img1, None)
if __name__ == '__main__':
NewOpenCVTests.bootstrap()