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pylint: eliminate warnings

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This commit is contained in:
Alexander Alekhin
2019-11-01 18:59:35 +03:00
parent 469addeca3
commit 48073e6d95
4 changed files with 41 additions and 41 deletions
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modules/python/test/test_cuda.py
+22 -22
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@@ -95,8 +95,8 @@ class cuda_test(NewOpenCVTests):
def test_cudabgsegm_existence(self):
#Test at least the existence of wrapped functions for now
bgsub = cv.cuda.createBackgroundSubtractorMOG()
bgsub = cv.cuda.createBackgroundSubtractorMOG2()
_bgsub = cv.cuda.createBackgroundSubtractorMOG()
_bgsub = cv.cuda.createBackgroundSubtractorMOG2()
self.assertTrue(True) #It is sufficient that no exceptions have been there
@@ -104,8 +104,8 @@ class cuda_test(NewOpenCVTests):
#Test at least the existence of wrapped functions for now
try:
writer = cv.cudacodec.createVideoWriter("tmp", (128, 128), 30)
reader = cv.cudacodec.createVideoReader("tmp")
_writer = cv.cudacodec.createVideoWriter("tmp", (128, 128), 30)
_reader = cv.cudacodec.createVideoReader("tmp")
except cv.error as e:
self.assertEqual(e.code, cv.Error.StsNotImplemented)
self.skipTest("NVCUVENC is not installed")
@@ -125,11 +125,11 @@ class cuda_test(NewOpenCVTests):
cuMat2 = cv.cuda.cvtColor(cuMat2, cv.COLOR_RGB2GRAY)
fast = cv.cuda_FastFeatureDetector.create()
kps = fast.detectAsync(cuMat1)
_kps = fast.detectAsync(cuMat1)
orb = cv.cuda_ORB.create()
kps1, descs1 = orb.detectAndComputeAsync(cuMat1, None)
kps2, descs2 = orb.detectAndComputeAsync(cuMat2, None)
_kps1, descs1 = orb.detectAndComputeAsync(cuMat1, None)
_kps2, descs2 = orb.detectAndComputeAsync(cuMat2, None)
bf = cv.cuda_DescriptorMatcher.createBFMatcher(cv.NORM_HAMMING)
matches = bf.match(descs1, descs2)
@@ -144,20 +144,20 @@ class cuda_test(NewOpenCVTests):
def test_cudafilters_existence(self):
#Test at least the existence of wrapped functions for now
filter = cv.cuda.createBoxFilter(cv.CV_8UC1, -1, (3, 3))
filter = cv.cuda.createLinearFilter(cv.CV_8UC4, -1, np.eye(3))
filter = cv.cuda.createLaplacianFilter(cv.CV_16UC1, -1, ksize=3)
filter = cv.cuda.createSeparableLinearFilter(cv.CV_8UC1, -1, np.eye(3), np.eye(3))
filter = cv.cuda.createDerivFilter(cv.CV_8UC1, -1, 1, 1, 3)
filter = cv.cuda.createSobelFilter(cv.CV_8UC1, -1, 1, 1)
filter = cv.cuda.createScharrFilter(cv.CV_8UC1, -1, 1, 0)
filter = cv.cuda.createGaussianFilter(cv.CV_8UC1, -1, (3, 3), 16)
filter = cv.cuda.createMorphologyFilter(cv.MORPH_DILATE, cv.CV_32FC1, np.eye(3))
filter = cv.cuda.createBoxMaxFilter(cv.CV_8UC1, (3, 3))
filter = cv.cuda.createBoxMinFilter(cv.CV_8UC1, (3, 3))
filter = cv.cuda.createRowSumFilter(cv.CV_8UC1, cv.CV_32FC1, 3)
filter = cv.cuda.createColumnSumFilter(cv.CV_8UC1, cv.CV_32FC1, 3)
filter = cv.cuda.createMedianFilter(cv.CV_8UC1, 3)
_filter = cv.cuda.createBoxFilter(cv.CV_8UC1, -1, (3, 3))
_filter = cv.cuda.createLinearFilter(cv.CV_8UC4, -1, np.eye(3))
_filter = cv.cuda.createLaplacianFilter(cv.CV_16UC1, -1, ksize=3)
_filter = cv.cuda.createSeparableLinearFilter(cv.CV_8UC1, -1, np.eye(3), np.eye(3))
_filter = cv.cuda.createDerivFilter(cv.CV_8UC1, -1, 1, 1, 3)
_filter = cv.cuda.createSobelFilter(cv.CV_8UC1, -1, 1, 1)
_filter = cv.cuda.createScharrFilter(cv.CV_8UC1, -1, 1, 0)
_filter = cv.cuda.createGaussianFilter(cv.CV_8UC1, -1, (3, 3), 16)
_filter = cv.cuda.createMorphologyFilter(cv.MORPH_DILATE, cv.CV_32FC1, np.eye(3))
_filter = cv.cuda.createBoxMaxFilter(cv.CV_8UC1, (3, 3))
_filter = cv.cuda.createBoxMinFilter(cv.CV_8UC1, (3, 3))
_filter = cv.cuda.createRowSumFilter(cv.CV_8UC1, cv.CV_32FC1, 3)
_filter = cv.cuda.createColumnSumFilter(cv.CV_8UC1, cv.CV_32FC1, 3)
_filter = cv.cuda.createMedianFilter(cv.CV_8UC1, 3)
self.assertTrue(True) #It is sufficient that no exceptions have been there
@@ -195,7 +195,7 @@ class cuda_test(NewOpenCVTests):
cv.cuda.meanShiftSegmentation(cuC4, 10, 5, 5).download()
clahe = cv.cuda.createCLAHE()
clahe.apply(cuC1, cv.cuda_Stream.Null());
clahe.apply(cuC1, cv.cuda_Stream.Null())
histLevels = cv.cuda.histEven(cuC3, 20, 0, 255)
cv.cuda.histRange(cuC1, histLevels)