Normalized file endings.
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@@ -2892,4 +2892,3 @@ The above methods are usually enough for users. If you want to make your own alg
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* Add public virtual method ``AlgorithmInfo* info() const;`` to your class.
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* Add constructor function, ``AlgorithmInfo`` instance and implement the ``info()`` method. The simplest way is to take http://code.opencv.org/projects/opencv/repository/revisions/master/entry/modules/ml/src/ml_init.cpp as the reference and modify it according to the list of your parameters.
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* Add some public function (e.g. ``initModule_<mymodule>()``) that calls info() of your algorithm and put it into the same source file as ``info()`` implementation. This is to force C++ linker to include this object file into the target application. See ``Algorithm::create()`` for details.
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@@ -15,4 +15,3 @@ core. The Core Functionality
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clustering
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utility_and_system_functions_and_macros
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opengl_interop
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@@ -531,4 +531,3 @@ The function ``putText`` renders the specified text string in the image.
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Symbols that cannot be rendered using the specified font are
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replaced by question marks. See
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:ocv:func:`getTextSize` for a text rendering code example.
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@@ -1584,4 +1584,3 @@ Gathers all node pointers to a single sequence.
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:param storage: Container for the sequence
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The function puts pointers of all nodes reachable from ``first`` into a single sequence. The pointers are written sequentially in the depth-first order.
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@@ -1751,4 +1751,3 @@ For example, `NumPy <http://numpy.scipy.org/>`_ arrays support the array interfa
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(480, 640, 3) 1
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.. note:: In the new Python wrappers (**cv2** module) the function is not needed, since cv2 can process Numpy arrays (and this is the only supported array type).
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@@ -278,4 +278,3 @@ void cv2eigen( const Matx<_Tp, 1, _cols>& src,
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#endif
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#endif
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@@ -24,4 +24,3 @@ PERF_TEST_P(Size_MatType, abs, TYPICAL_MATS_ABS)
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SANITY_CHECK(c);
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}
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@@ -73,4 +73,3 @@ PERF_TEST_P(Size_MatType, bitwise_xor, TYPICAL_MATS_BITW_ARITHM)
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SANITY_CHECK(c);
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}
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@@ -34,4 +34,4 @@ PERF_TEST_P( Size_SrcDepth_DstChannels, merge,
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TEST_CYCLE_MULTIRUN(runs) merge( (vector<Mat> &)mv, dst );
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SANITY_CHECK(dst, 1e-12);
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}
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}
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@@ -1391,4 +1391,4 @@ CV_IMPL void cvNormalize( const CvArr* srcarr, CvArr* dstarr,
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cv::normalize( src, dst, a, b, norm_type, dst.type(), mask );
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}
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/* End of file. */
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/* End of file. */
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@@ -1832,4 +1832,4 @@ cvSVBkSb( const CvArr* warr, const CvArr* uarr,
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cv::SVD::backSubst(w, u, v, rhs, dst);
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CV_Assert( dst.data == dst0.data );
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}
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}
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@@ -304,4 +304,3 @@ Formatted::Formatted(const Mat& _m, const Formatter* _fmt, const int* _params)
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}
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}
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@@ -1563,4 +1563,4 @@ TEST(Core_round, CvRound)
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ASSERT_EQ(4, cvRound(3.5));
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ASSERT_EQ(-2, cvRound(-2.5));
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ASSERT_EQ(-4, cvRound(-3.5));
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}
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}
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@@ -2118,5 +2118,3 @@ TEST(Core_DS_Seq, sort_invert) { Core_SeqSortInvTest test; test.safe_run(); }
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TEST(Core_DS_Set, basic_operations) { Core_SetTest test; test.safe_run(); }
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TEST(Core_DS_Graph, basic_operations) { Core_GraphTest test; test.safe_run(); }
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TEST(Core_DS_Graph, scan) { Core_GraphScanTest test; test.safe_run(); }
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@@ -866,5 +866,3 @@ protected:
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};
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TEST(Core_DFT, complex_output) { Core_DFTComplexOutputTest test; test.safe_run(); }
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@@ -2643,4 +2643,3 @@ TEST(CovariationMatrixVectorOfMatWithMean, accuracy)
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}
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/* End of file. */
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