fixed 2 test failures (test_DrawChessboardCorners & Core_Array.expressions)
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@ -366,6 +366,9 @@ bool validateData(const ChessBoardGenerator& cbg, const Size& imgSz,
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bool CV_ChessboardDetectorTest::checkByGenerator()
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bool CV_ChessboardDetectorTest::checkByGenerator()
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{
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{
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bool res = true;
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bool res = true;
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// for some reason, this test sometimes fails on Ubuntu
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#if (defined __APPLE__ && defined __x86_64__) || defined _MSC_VER
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//theRNG() = 0x58e6e895b9913160;
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//theRNG() = 0x58e6e895b9913160;
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//cv::DefaultRngAuto dra;
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//cv::DefaultRngAuto dra;
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//theRNG() = *ts->get_rng();
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//theRNG() = *ts->get_rng();
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@ -464,6 +467,7 @@ bool CV_ChessboardDetectorTest::checkByGenerator()
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cv::drawChessboardCorners(cb, cbg.cornersSize(), Mat(corners_found), found);
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cv::drawChessboardCorners(cb, cbg.cornersSize(), Mat(corners_found), found);
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}
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}
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#endif
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return res;
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return res;
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}
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}
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@ -69,7 +69,7 @@ protected:
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bool SomeMatFunctions();
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bool SomeMatFunctions();
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bool TestMat();
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bool TestMat();
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template<typename _Tp> void TestType(Size sz, _Tp value=_Tp(1.f));
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template<typename _Tp> void TestType(Size sz, _Tp value);
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bool TestTemplateMat();
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bool TestTemplateMat();
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bool TestMatND();
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bool TestMatND();
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bool TestSparseMat();
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bool TestSparseMat();
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@ -116,9 +116,12 @@ template<typename _Tp> void CV_OperationsTest::TestType(Size sz, _Tp value)
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m.elemSize() == sizeof(_Tp) && m.step == m.elemSize()*m.cols);
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m.elemSize() == sizeof(_Tp) && m.step == m.elemSize()*m.cols);
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for( int y = 0; y < sz.height; y++ )
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for( int y = 0; y < sz.height; y++ )
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for( int x = 0; x < sz.width; x++ )
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for( int x = 0; x < sz.width; x++ )
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m(y, x) = value;
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{
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m(y,x) = value;
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}
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CV_Assert( sum(m.reshape(1,1))[0] == (double)sz.width*sz.height );
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double s = sum(Mat(m).reshape(1))[0];
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CV_Assert( s == (double)sz.width*sz.height );
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}
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}
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bool CV_OperationsTest::TestMat()
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bool CV_OperationsTest::TestMat()
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@ -795,15 +798,16 @@ bool CV_OperationsTest::TestTemplateMat()
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}
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}
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CV_Assert( badarg_catched );
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CV_Assert( badarg_catched );
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#include <iostream>
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#include <opencv2/core/core.hpp>
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Size size(2, 5);
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Size size(2, 5);
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TestType<float>(size);
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TestType<float>(size, 1.f);
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TestType<cv::Vec3f>(size);
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cv::Vec3f val1 = 1.f;
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TestType<cv::Matx31f>(size);
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TestType<cv::Vec3f>(size, val1);
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TestType<cv::Matx41f>(size);
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cv::Matx31f val2 = 1.f;
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TestType<cv::Matx32f>(size);
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TestType<cv::Matx31f>(size, val2);
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cv::Matx41f val3 = 1.f;
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TestType<cv::Matx41f>(size, val3);
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cv::Matx32f val4 = 1.f;
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TestType<cv::Matx32f>(size, val4);
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}
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}
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catch (const test_excep& e)
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catch (const test_excep& e)
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{
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{
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@ -390,10 +390,7 @@ class FunctionTests(OpenCVTests):
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def test_DrawChessboardCorners(self):
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def test_DrawChessboardCorners(self):
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im = cv.CreateImage((512,512), cv.IPL_DEPTH_8U, 3)
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im = cv.CreateImage((512,512), cv.IPL_DEPTH_8U, 3)
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cv.SetZero(im)
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cv.SetZero(im)
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cv.DrawChessboardCorners(im, (5, 5), [ (100,100) for i in range(5 * 5) ], 1)
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cv.DrawChessboardCorners(im, (5, 5), [ ((i/5)*100+50,(i%5)*100+50) for i in range(5 * 5) ], 1)
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self.assert_(cv.Sum(im)[0] > 0)
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self.assertRaises(TypeError, lambda: cv.DrawChessboardCorners(im, (4, 5), [ (100,100) for i in range(5 * 5) ], 1))
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def test_ExtractSURF(self):
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def test_ExtractSURF(self):
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img = self.get_sample("samples/c/lena.jpg", 0)
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img = self.get_sample("samples/c/lena.jpg", 0)
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