fixed error reporting in GPU module (exceptions in destructors, etc)
This commit is contained in:
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d7d0754f38
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f2df784830
@ -245,7 +245,7 @@ enum {
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CV_StsNotImplemented= -213, /* the requested function/feature is not implemented */
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CV_StsNotImplemented= -213, /* the requested function/feature is not implemented */
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CV_StsBadMemBlock= -214, /* an allocated block has been corrupted */
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CV_StsBadMemBlock= -214, /* an allocated block has been corrupted */
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CV_StsAssert= -215, /* assertion failed */
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CV_StsAssert= -215, /* assertion failed */
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CV_GpuNotFound= -216,
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CV_GpuNotSupported= -216,
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CV_GpuApiCallError= -217,
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CV_GpuApiCallError= -217,
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CV_GpuNppCallError= -218
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CV_GpuNppCallError= -218
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};
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};
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@ -527,6 +527,9 @@ CV_IMPL const char* cvErrorStr( int status )
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case CV_StsNotImplemented : return "The function/feature is not implemented";
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case CV_StsNotImplemented : return "The function/feature is not implemented";
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case CV_StsBadMemBlock : return "Memory block has been corrupted";
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case CV_StsBadMemBlock : return "Memory block has been corrupted";
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case CV_StsAssert : return "Assertion failed";
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case CV_StsAssert : return "Assertion failed";
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case CV_GpuNotSupported : return "No GPU support";
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case CV_GpuApiCallError : return "GPU API error";
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case CV_GpuNppCallError : return "NPP API error";
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};
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};
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sprintf(buf, "Unknown %s code %d", status >= 0 ? "status":"error", status);
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sprintf(buf, "Unknown %s code %d", status >= 0 ? "status":"error", status);
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@ -83,19 +83,18 @@ namespace cv
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public:
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public:
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//! default constructor
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//! default constructor
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GpuMat();
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GpuMat();
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//! constructs GpuMatrix of the specified size and type
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//! constructs GpuMatrix of the specified size and type (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
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// (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
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GpuMat(int rows, int cols, int type);
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GpuMat(int _rows, int _cols, int _type);
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GpuMat(Size size, int type);
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GpuMat(Size _size, int _type);
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//! constucts GpuMatrix and fills it with the specified value _s.
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//! constucts GpuMatrix and fills it with the specified value _s.
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GpuMat(int _rows, int _cols, int _type, const Scalar& _s);
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GpuMat(int rows, int cols, int type, const Scalar& s);
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GpuMat(Size _size, int _type, const Scalar& _s);
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GpuMat(Size size, int type, const Scalar& s);
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//! copy constructor
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//! copy constructor
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GpuMat(const GpuMat& m);
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GpuMat(const GpuMat& m);
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//! constructor for GpuMatrix headers pointing to user-allocated data
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//! constructor for GpuMatrix headers pointing to user-allocated data
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GpuMat(int _rows, int _cols, int _type, void* _data, size_t _step = Mat::AUTO_STEP);
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GpuMat(int rows, int cols, int type, void* data, size_t step = Mat::AUTO_STEP);
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GpuMat(Size _size, int _type, void* _data, size_t _step = Mat::AUTO_STEP);
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GpuMat(Size size, int type, void* data, size_t step = Mat::AUTO_STEP);
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//! creates a matrix header for a part of the bigger matrix
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//! creates a matrix header for a part of the bigger matrix
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GpuMat(const GpuMat& m, const Range& rowRange, const Range& colRange);
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GpuMat(const GpuMat& m, const Range& rowRange, const Range& colRange);
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@ -117,7 +116,7 @@ namespace cv
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template <class T> operator DevMem2D_<T>() const;
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template <class T> operator DevMem2D_<T>() const;
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template <class T> operator PtrStep_<T>() const;
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template <class T> operator PtrStep_<T>() const;
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//! pefroms blocking upload data to GpuMat. .
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//! pefroms blocking upload data to GpuMat.
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void upload(const cv::Mat& m);
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void upload(const cv::Mat& m);
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//! upload async
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//! upload async
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@ -159,12 +158,12 @@ namespace cv
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GpuMat& setTo(const Scalar& s, const GpuMat& mask = GpuMat());
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GpuMat& setTo(const Scalar& s, const GpuMat& mask = GpuMat());
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//! creates alternative GpuMatrix header for the same data, with different
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//! creates alternative GpuMatrix header for the same data, with different
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// number of channels and/or different number of rows. see cvReshape.
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// number of channels and/or different number of rows. see cvReshape.
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GpuMat reshape(int _cn, int _rows=0) const;
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GpuMat reshape(int cn, int rows = 0) const;
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//! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type.
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//! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type.
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// previous data is unreferenced if needed.
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// previous data is unreferenced if needed.
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void create(int _rows, int _cols, int _type);
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void create(int rows, int cols, int type);
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void create(Size _size, int _type);
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void create(Size size, int type);
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//! decreases reference counter;
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//! decreases reference counter;
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// deallocate the data when reference counter reaches 0.
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// deallocate the data when reference counter reaches 0.
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void release();
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void release();
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@ -238,6 +237,11 @@ namespace cv
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uchar* dataend;
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uchar* dataend;
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};
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};
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//#define TemplatedGpuMat // experimental now, deprecated to use
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#ifdef TemplatedGpuMat
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#include "GpuMat_BetaDeprecated.hpp"
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#endif
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//////////////////////////////// CudaMem ////////////////////////////////
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//////////////////////////////// CudaMem ////////////////////////////////
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// CudaMem is limited cv::Mat with page locked memory allocation.
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// CudaMem is limited cv::Mat with page locked memory allocation.
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// Page locked memory is only needed for async and faster coping to GPU.
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// Page locked memory is only needed for async and faster coping to GPU.
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@ -252,12 +256,12 @@ namespace cv
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CudaMem();
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CudaMem();
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CudaMem(const CudaMem& m);
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CudaMem(const CudaMem& m);
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CudaMem(int _rows, int _cols, int _type, int _alloc_type = ALLOC_PAGE_LOCKED);
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CudaMem(int rows, int cols, int type, int _alloc_type = ALLOC_PAGE_LOCKED);
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CudaMem(Size _size, int _type, int _alloc_type = ALLOC_PAGE_LOCKED);
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CudaMem(Size size, int type, int alloc_type = ALLOC_PAGE_LOCKED);
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//! creates from cv::Mat with coping data
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//! creates from cv::Mat with coping data
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explicit CudaMem(const Mat& m, int _alloc_type = ALLOC_PAGE_LOCKED);
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explicit CudaMem(const Mat& m, int alloc_type = ALLOC_PAGE_LOCKED);
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~CudaMem();
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~CudaMem();
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@ -267,8 +271,8 @@ namespace cv
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CudaMem clone() const;
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CudaMem clone() const;
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//! allocates new matrix data unless the matrix already has specified size and type.
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//! allocates new matrix data unless the matrix already has specified size and type.
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void create(int _rows, int _cols, int _type, int _alloc_type = ALLOC_PAGE_LOCKED);
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void create(int rows, int cols, int type, int alloc_type = ALLOC_PAGE_LOCKED);
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void create(Size _size, int _type, int _alloc_type = ALLOC_PAGE_LOCKED);
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void create(Size size, int type, int alloc_type = ALLOC_PAGE_LOCKED);
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//! decrements reference counter and released memory if needed.
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//! decrements reference counter and released memory if needed.
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void release();
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void release();
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@ -54,53 +54,54 @@ using namespace cv::gpu;
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namespace
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namespace
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{
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{
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#define error_entry(entry) { entry, #entry }
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struct NppError
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struct NppError
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{
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{
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int error;
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int error;
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string str;
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string str;
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}
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}
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npp_errors [] =
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npp_errors [] =
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{
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{
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{ NPP_NOT_SUPPORTED_MODE_ERROR, "NPP_NOT_SUPPORTED_MODE_ERROR" },
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error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
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{ NPP_ROUND_MODE_NOT_SUPPORTED_ERROR, "NPP_ROUND_MODE_NOT_SUPPORTED_ERROR" },
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error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
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{ NPP_RESIZE_NO_OPERATION_ERROR, "NPP_RESIZE_NO_OPERATION_ERROR" },
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error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
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{ NPP_BAD_ARG_ERROR, "NPP_BAD_ARG_ERROR" },
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error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ),
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{ NPP_LUT_NUMBER_OF_LEVELS_ERROR, "NPP_LUT_NUMBER_OF_LEVELS_ERROR" },
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error_entry( NPP_BAD_ARG_ERROR ),
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{ NPP_TEXTURE_BIND_ERROR, "NPP_TEXTURE_BIND_ERROR" },
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error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
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{ NPP_COEFF_ERROR, "NPP_COEFF_ERROR" },
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error_entry( NPP_TEXTURE_BIND_ERROR ),
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{ NPP_RECT_ERROR, "NPP_RECT_ERROR" },
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error_entry( NPP_COEFF_ERROR ),
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{ NPP_QUAD_ERROR, "NPP_QUAD_ERROR" },
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error_entry( NPP_RECT_ERROR ),
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{ NPP_WRONG_INTERSECTION_ROI_ERROR, "NPP_WRONG_INTERSECTION_ROI_ERROR" },
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error_entry( NPP_QUAD_ERROR ),
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{ NPP_NOT_EVEN_STEP_ERROR, "NPP_NOT_EVEN_STEP_ERROR" },
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error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ),
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{ NPP_INTERPOLATION_ERROR, "NPP_INTERPOLATION_ERROR" },
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error_entry( NPP_NOT_EVEN_STEP_ERROR ),
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{ NPP_RESIZE_FACTOR_ERROR, "NPP_RESIZE_FACTOR_ERROR" },
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error_entry( NPP_INTERPOLATION_ERROR ),
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{ NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR, "NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR" },
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error_entry( NPP_RESIZE_FACTOR_ERROR ),
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{ NPP_MEMFREE_ERR, "NPP_MEMFREE_ERR" },
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error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ),
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{ NPP_MEMSET_ERR, "NPP_MEMSET_ERR" },
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error_entry( NPP_MEMFREE_ERR ),
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{ NPP_MEMCPY_ERROR, "NPP_MEMCPY_ERROR" },
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error_entry( NPP_MEMSET_ERR ),
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{ NPP_MEM_ALLOC_ERR, "NPP_MEM_ALLOC_ERR" },
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error_entry( NPP_MEMCPY_ERROR ),
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{ NPP_HISTO_NUMBER_OF_LEVELS_ERROR, "NPP_HISTO_NUMBER_OF_LEVELS_ERROR" },
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error_entry( NPP_MEM_ALLOC_ERR ),
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{ NPP_MIRROR_FLIP_ERR, "NPP_MIRROR_FLIP_ERR" },
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error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
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{ NPP_INVALID_INPUT, "NPP_INVALID_INPUT" },
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error_entry( NPP_MIRROR_FLIP_ERR ),
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{ NPP_ALIGNMENT_ERROR, "NPP_ALIGNMENT_ERROR" },
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error_entry( NPP_INVALID_INPUT ),
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{ NPP_STEP_ERROR, "NPP_STEP_ERROR" },
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error_entry( NPP_ALIGNMENT_ERROR ),
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{ NPP_SIZE_ERROR, "NPP_SIZE_ERROR" },
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error_entry( NPP_STEP_ERROR ),
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{ NPP_POINTER_ERROR, "NPP_POINTER_ERROR" },
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error_entry( NPP_SIZE_ERROR ),
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{ NPP_NULL_POINTER_ERROR, "NPP_NULL_POINTER_ERROR" },
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error_entry( NPP_POINTER_ERROR ),
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{ NPP_CUDA_KERNEL_EXECUTION_ERROR, "NPP_CUDA_KERNEL_EXECUTION_ERROR" },
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error_entry( NPP_NULL_POINTER_ERROR ),
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{ NPP_NOT_IMPLEMENTED_ERROR, "NPP_NOT_IMPLEMENTED_ERROR" },
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error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ),
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{ NPP_ERROR, "NPP_ERROR" },
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error_entry( NPP_NOT_IMPLEMENTED_ERROR ),
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{ NPP_NO_ERROR, "NPP_NO_ERROR" },
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error_entry( NPP_ERROR ),
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{ NPP_SUCCESS, "NPP_SUCCESS" },
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error_entry( NPP_NO_ERROR ),
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{ NPP_WARNING, "NPP_WARNING" },
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error_entry( NPP_SUCCESS ),
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{ NPP_WRONG_INTERSECTION_QUAD_WARNING, "NPP_WRONG_INTERSECTION_QUAD_WARNING" },
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error_entry( NPP_WARNING ),
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{ NPP_MISALIGNED_DST_ROI_WARNING, "NPP_MISALIGNED_DST_ROI_WARNING" },
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error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ),
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{ NPP_AFFINE_QUAD_INCORRECT_WARNING, "NPP_AFFINE_QUAD_INCORRECT_WARNING" },
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error_entry( NPP_MISALIGNED_DST_ROI_WARNING ),
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//disabled in NPP for cuda 3.2-rc
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error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ),
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//{ NPP_AFFINE_QUAD_CHANGED_WARNING, "NPP_AFFINE_QUAD_CHANGED_WARNING" },
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error_entry( NPP_DOUBLE_SIZE_WARNING ),
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//{ NPP_ADJUSTED_ROI_SIZE_WARNING, "NPP_ADJUSTED_ROI_SIZE_WARNING" },
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error_entry( NPP_ODD_ROI_WARNING )
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{ NPP_DOUBLE_SIZE_WARNING, "NPP_DOUBLE_SIZE_WARNING" },
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{ NPP_ODD_ROI_WARNING, "NPP_ODD_ROI_WARNING" }
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};
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};
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int error_num = sizeof(npp_errors)/sizeof(npp_errors[0]);
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int error_num = sizeof(npp_errors)/sizeof(npp_errors[0]);
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@ -136,8 +137,18 @@ namespace cv
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void error(const char *error_string, const char *file, const int line, const char *func)
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void error(const char *error_string, const char *file, const int line, const char *func)
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{
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{
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//if (uncaught_exception())
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int code = CV_GpuApiCallError;
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cv::error( cv::Exception(CV_GpuApiCallError, error_string, func, file, line) );
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if (std::uncaught_exception())
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{
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const char* errorStr = cvErrorStr(code);
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const char* function = func ? func : "unknown function";
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std::cerr << "OpenCV Error: " << errorStr << "(" << error_string << ") in " << function << ", file " << file << ", line " << line;
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std::cerr.flush();
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}
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else
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cv::error( cv::Exception(code, error_string, func, file, line) );
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}
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}
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}
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}
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}
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}
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@ -55,6 +55,7 @@
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#include <vector>
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#include <vector>
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#include <algorithm>
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#include <algorithm>
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#include <sstream>
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#include <sstream>
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#include <exception>
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#include "opencv2/gpu/gpu.hpp"
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#include "opencv2/gpu/gpu.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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@ -68,7 +69,7 @@
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#else /* defined(HAVE_CUDA) */
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#else /* defined(HAVE_CUDA) */
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static inline void throw_nogpu() { CV_Error(CV_GpuNotFound, "The library is compilled with no GPU support"); }
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static inline void throw_nogpu() { CV_Error(CV_GpuNotFound, "The library is compilled without GPU support"); }
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#endif /* defined(HAVE_CUDA) */
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#endif /* defined(HAVE_CUDA) */
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@ -69,8 +69,8 @@ static inline bool check_and_treat_gpu_exception(const cv::Exception& e, CvTS* t
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{
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{
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switch (e.code)
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switch (e.code)
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{
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{
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case CV_GpuNotFound:
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case CV_GpuNotSupported:
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ts->printf(CvTS::LOG, "\nGpu not found");
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ts->printf(CvTS::LOG, "\nGpu not supported by the library");
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break;
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break;
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case CV_GpuApiCallError:
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case CV_GpuApiCallError:
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