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python(test): enable pylint checks for tests

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This commit is contained in:
Alexander Alekhin
2017-09-03 11:17:15 +00:00
parent e1b102e9a6
commit 936234d5b1
20 changed files with 50 additions and 57 deletions
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modules/python/test/test.py
+9 -11
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@@ -75,7 +75,6 @@ class Hackathon244Tests(NewOpenCVTests):
fd = cv2.FastFeatureDetector_create(30, True)
img = self.get_sample("samples/data/right02.jpg", 0)
img = cv2.medianBlur(img, 3)
imgc = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
keypoints = fd.detect(img)
self.assertTrue(600 <= len(keypoints) <= 700)
for kpt in keypoints:
@@ -99,7 +98,6 @@ class Hackathon244Tests(NewOpenCVTests):
np.random.seed(244)
a = np.random.randn(npt,2).astype('float32')*50 + 150
img = np.zeros((300, 300, 3), dtype='uint8')
be = cv2.fitEllipse(a)
br = cv2.minAreaRect(a)
mc, mr = cv2.minEnclosingCircle(a)
@@ -138,10 +136,10 @@ class Hackathon244Tests(NewOpenCVTests):
def test_umat_handle(self):
a_um = cv2.UMat(256, 256, cv2.CV_32F)
ctx_handle = cv2.UMat.context() # obtain context handle
queue_handle = cv2.UMat.queue() # obtain queue handle
a_handle = a_um.handle(cv2.ACCESS_READ) # obtain buffer handle
offset = a_um.offset # obtain buffer offset
_ctx_handle = cv2.UMat.context() # obtain context handle
_queue_handle = cv2.UMat.queue() # obtain queue handle
_a_handle = a_um.handle(cv2.ACCESS_READ) # obtain buffer handle
_offset = a_um.offset # obtain buffer offset
def test_umat_matching(self):
img1 = self.get_sample("samples/data/right01.jpg")
@@ -186,11 +184,11 @@ class Hackathon244Tests(NewOpenCVTests):
p0_umat = cv2.UMat(np.array(sorted(p0_umat.get(), key=lambda p: tuple(p[0]))))
self.assertTrue(np.allclose(p0_umat.get(), p0))
p1_mask_err = cv2.calcOpticalFlowPyrLK(img1, img2, p0, None)
_p1_mask_err = cv2.calcOpticalFlowPyrLK(img1, img2, p0, None)
p1_mask_err_umat0 = map(cv2.UMat.get, cv2.calcOpticalFlowPyrLK(img1, img2, p0_umat, None))
p1_mask_err_umat1 = map(cv2.UMat.get, cv2.calcOpticalFlowPyrLK(cv2.UMat(img1), img2, p0_umat, None))
p1_mask_err_umat2 = map(cv2.UMat.get, cv2.calcOpticalFlowPyrLK(img1, cv2.UMat(img2), p0_umat, None))
_p1_mask_err_umat0 = map(cv2.UMat.get, cv2.calcOpticalFlowPyrLK(img1, img2, p0_umat, None))
_p1_mask_err_umat1 = map(cv2.UMat.get, cv2.calcOpticalFlowPyrLK(cv2.UMat(img1), img2, p0_umat, None))
_p1_mask_err_umat2 = map(cv2.UMat.get, cv2.calcOpticalFlowPyrLK(img1, cv2.UMat(img2), p0_umat, None))
# # results of OCL optical flow differs from CPU implementation, so result can not be easily compared
# for p1_mask_err_umat in [p1_mask_err_umat0, p1_mask_err_umat1, p1_mask_err_umat2]:
@@ -212,5 +210,5 @@ if __name__ == '__main__':
except KeyError:
print('Missing opencv extra repository. Some of tests may fail.')
random.seed(0)
unit_argv = [sys.argv[0]] + other;
unit_argv = [sys.argv[0]] + other
unittest.main(argv=unit_argv)