reverted "typedef _InputArray InputArray", fixed warning from doxygen
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@ -2958,6 +2958,9 @@ public:
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/** @brief Loads algorithm from the file
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/** @brief Loads algorithm from the file
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@param filename Name of the file to read.
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@param objname The optional name of the node to read (if empty, the first top-level node will be used)
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This is static template method of Algorithm. It's usage is following (in the case of SVM):
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This is static template method of Algorithm. It's usage is following (in the case of SVM):
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@code
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@code
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Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");
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Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");
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@ -2977,6 +2980,7 @@ public:
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/** @brief Loads algorithm from a String
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/** @brief Loads algorithm from a String
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@param strModel The string variable containing the model you want to load.
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@param strModel The string variable containing the model you want to load.
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@param objname The optional name of the node to read (if empty, the first top-level node will be used)
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This is static template method of Algorithm. It's usage is following (in the case of SVM):
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This is static template method of Algorithm. It's usage is following (in the case of SVM):
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@code
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@code
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@ -70,7 +70,7 @@ class CV_EXPORTS _OutputArray;
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It is defined as:
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It is defined as:
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@code
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@code
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class InputArray; // = _InputArray
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typedef const _InputArray& InputArray;
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@endcode
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@endcode
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where _InputArray is a class that can be constructed from `Mat`, `Mat_<T>`, `Matx<T, m, n>`,
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where _InputArray is a class that can be constructed from `Mat`, `Mat_<T>`, `Matx<T, m, n>`,
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`std::vector<T>`, `std::vector<std::vector<T> >` or `std::vector<Mat>`. It can also be constructed
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`std::vector<T>`, `std::vector<std::vector<T> >` or `std::vector<Mat>`. It can also be constructed
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@ -186,6 +186,7 @@ public:
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_InputArray(const std::vector<UMat>& umv);
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_InputArray(const std::vector<UMat>& umv);
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Mat getMat(int idx=-1) const;
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Mat getMat(int idx=-1) const;
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Mat getMat_(int idx=-1) const;
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UMat getUMat(int idx=-1) const;
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UMat getUMat(int idx=-1) const;
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void getMatVector(std::vector<Mat>& mv) const;
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void getMatVector(std::vector<Mat>& mv) const;
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void getUMatVector(std::vector<UMat>& umv) const;
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void getUMatVector(std::vector<UMat>& umv) const;
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@ -361,15 +362,13 @@ public:
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template<typename _Tp, int m, int n> _InputOutputArray(const Matx<_Tp, m, n>& matx);
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template<typename _Tp, int m, int n> _InputOutputArray(const Matx<_Tp, m, n>& matx);
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_InputOutputArray(const UMat& m);
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_InputOutputArray(const UMat& m);
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_InputOutputArray(const std::vector<UMat>& vec);
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_InputOutputArray(const std::vector<UMat>& vec);
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explicit _InputOutputArray(const _OutputArray& o);
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};
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};
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typedef _InputArray InputArray;
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typedef const _InputArray& InputArray;
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typedef InputArray InputArrayOfArrays;
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typedef InputArray InputArrayOfArrays;
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typedef _OutputArray OutputArray;
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typedef const _OutputArray& OutputArray;
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typedef OutputArray OutputArrayOfArrays;
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typedef OutputArray OutputArrayOfArrays;
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typedef _InputOutputArray InputOutputArray;
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typedef const _InputOutputArray& InputOutputArray;
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typedef InputOutputArray InputOutputArrayOfArrays;
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typedef InputOutputArray InputOutputArrayOfArrays;
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CV_EXPORTS InputOutputArray noArray();
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CV_EXPORTS InputOutputArray noArray();
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@ -114,6 +114,13 @@ inline _InputArray::_InputArray(const cuda::HostMem& cuda_mem)
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inline _InputArray::~_InputArray() {}
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inline _InputArray::~_InputArray() {}
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inline Mat _InputArray::getMat(int i) const
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{
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if( kind() == MAT && i < 0 )
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return *(const Mat*)obj;
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return getMat_(i);
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}
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inline bool _InputArray::isMat() const { return kind() == _InputArray::MAT; }
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inline bool _InputArray::isMat() const { return kind() == _InputArray::MAT; }
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inline bool _InputArray::isUMat() const { return kind() == _InputArray::UMAT; }
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inline bool _InputArray::isUMat() const { return kind() == _InputArray::UMAT; }
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inline bool _InputArray::isMatVector() const { return kind() == _InputArray::STD_VECTOR_MAT; }
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inline bool _InputArray::isMatVector() const { return kind() == _InputArray::STD_VECTOR_MAT; }
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@ -294,9 +301,6 @@ inline _InputOutputArray::_InputOutputArray(const ogl::Buffer& buf)
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inline _InputOutputArray::_InputOutputArray(const cuda::HostMem& cuda_mem)
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inline _InputOutputArray::_InputOutputArray(const cuda::HostMem& cuda_mem)
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{ init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
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{ init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
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inline _InputOutputArray::_InputOutputArray(const _OutputArray& o)
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{ init(o.getFlags(), o.getObj(), o.getSz()); }
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//////////////////////////////////////////// Mat //////////////////////////////////////////
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//////////////////////////////////////////// Mat //////////////////////////////////////////
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inline
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inline
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@ -1113,7 +1113,7 @@ void scalarToRawData(const Scalar& s, void* _buf, int type, int unroll_to)
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Input/Output Array
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Input/Output Array
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\*************************************************************************************************/
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\*************************************************************************************************/
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Mat _InputArray::getMat(int i) const
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Mat _InputArray::getMat_(int i) const
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{
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{
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int k = kind();
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int k = kind();
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int accessFlags = flags & ACCESS_MASK;
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int accessFlags = flags & ACCESS_MASK;
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@ -65,20 +65,20 @@ namespace cv{
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};
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};
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struct CCStatsOp{
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struct CCStatsOp{
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OutputArray _mstatsv;
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const _OutputArray* _mstatsv;
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cv::Mat statsv;
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cv::Mat statsv;
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OutputArray _mcentroidsv;
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const _OutputArray* _mcentroidsv;
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cv::Mat centroidsv;
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cv::Mat centroidsv;
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std::vector<Point2ui64> integrals;
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std::vector<Point2ui64> integrals;
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CCStatsOp(OutputArray _statsv, OutputArray _centroidsv): _mstatsv(_statsv), _mcentroidsv(_centroidsv){
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CCStatsOp(OutputArray _statsv, OutputArray _centroidsv): _mstatsv(&_statsv), _mcentroidsv(&_centroidsv){
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}
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}
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inline
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inline
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void init(int nlabels){
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void init(int nlabels){
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_mstatsv.create(cv::Size(CC_STAT_MAX, nlabels), cv::DataType<int>::type);
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_mstatsv->create(cv::Size(CC_STAT_MAX, nlabels), cv::DataType<int>::type);
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statsv = _mstatsv.getMat();
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statsv = _mstatsv->getMat();
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_mcentroidsv.create(cv::Size(2, nlabels), cv::DataType<double>::type);
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_mcentroidsv->create(cv::Size(2, nlabels), cv::DataType<double>::type);
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centroidsv = _mcentroidsv.getMat();
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centroidsv = _mcentroidsv->getMat();
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for(int l = 0; l < (int) nlabels; ++l){
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for(int l = 0; l < (int) nlabels; ++l){
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int *row = (int *) &statsv.at<int>(l, 0);
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int *row = (int *) &statsv.at<int>(l, 0);
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