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Open Source Computer Vision Library
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249 lines
9.6 KiB
249 lines
9.6 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "precomp.hpp" |
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using namespace cv; |
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using namespace cv::gpu; |
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using namespace std; |
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#ifdef HAVE_CUDA |
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namespace |
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{ |
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#define error_entry(entry) { entry, #entry } |
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struct ErrorEntry |
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{ |
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int code; |
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string str; |
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}; |
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struct ErrorEntryComparer |
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{ |
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int code; |
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ErrorEntryComparer(int code_) : code(code_) {}; |
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bool operator()(const ErrorEntry& e) const { return e.code == code; } |
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}; |
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string getErrorString(int code, const ErrorEntry* errors, size_t n) |
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{ |
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size_t idx = find_if(errors, errors + n, ErrorEntryComparer(code)) - errors; |
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const string& msg = (idx != n) ? errors[idx].str : string("Unknown error code"); |
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ostringstream ostr; |
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ostr << msg << " [Code = " << code << "]"; |
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return ostr.str(); |
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} |
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////////////////////////////////////////////////////////////////////////// |
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// NPP errors |
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const ErrorEntry npp_errors [] = |
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{ |
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error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ), |
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error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ), |
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error_entry( NPP_RESIZE_NO_OPERATION_ERROR ), |
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#if defined (_MSC_VER) |
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error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ), |
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#endif |
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error_entry( NPP_BAD_ARG_ERROR ), |
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error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ), |
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error_entry( NPP_TEXTURE_BIND_ERROR ), |
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error_entry( NPP_COEFF_ERROR ), |
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error_entry( NPP_RECT_ERROR ), |
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error_entry( NPP_QUAD_ERROR ), |
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error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ), |
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error_entry( NPP_NOT_EVEN_STEP_ERROR ), |
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error_entry( NPP_INTERPOLATION_ERROR ), |
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error_entry( NPP_RESIZE_FACTOR_ERROR ), |
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error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ), |
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error_entry( NPP_MEMFREE_ERR ), |
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error_entry( NPP_MEMSET_ERR ), |
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error_entry( NPP_MEMCPY_ERROR ), |
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error_entry( NPP_MEM_ALLOC_ERR ), |
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error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ), |
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error_entry( NPP_MIRROR_FLIP_ERR ), |
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error_entry( NPP_INVALID_INPUT ), |
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error_entry( NPP_ALIGNMENT_ERROR ), |
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error_entry( NPP_STEP_ERROR ), |
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error_entry( NPP_SIZE_ERROR ), |
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error_entry( NPP_POINTER_ERROR ), |
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error_entry( NPP_NULL_POINTER_ERROR ), |
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error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ), |
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error_entry( NPP_NOT_IMPLEMENTED_ERROR ), |
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error_entry( NPP_ERROR ), |
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error_entry( NPP_NO_ERROR ), |
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error_entry( NPP_SUCCESS ), |
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error_entry( NPP_WARNING ), |
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error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ), |
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error_entry( NPP_MISALIGNED_DST_ROI_WARNING ), |
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error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ), |
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error_entry( NPP_DOUBLE_SIZE_WARNING ), |
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error_entry( NPP_ODD_ROI_WARNING ) |
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}; |
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const size_t npp_error_num = sizeof(npp_errors) / sizeof(npp_errors[0]); |
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////////////////////////////////////////////////////////////////////////// |
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// NCV errors |
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const ErrorEntry ncv_errors [] = |
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{ |
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error_entry( NCV_SUCCESS ), |
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error_entry( NCV_UNKNOWN_ERROR ), |
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error_entry( NCV_CUDA_ERROR ), |
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error_entry( NCV_NPP_ERROR ), |
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error_entry( NCV_FILE_ERROR ), |
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error_entry( NCV_NULL_PTR ), |
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error_entry( NCV_INCONSISTENT_INPUT ), |
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error_entry( NCV_TEXTURE_BIND_ERROR ), |
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error_entry( NCV_DIMENSIONS_INVALID ), |
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error_entry( NCV_INVALID_ROI ), |
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error_entry( NCV_INVALID_STEP ), |
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error_entry( NCV_INVALID_SCALE ), |
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error_entry( NCV_INVALID_SCALE ), |
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error_entry( NCV_ALLOCATOR_NOT_INITIALIZED ), |
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error_entry( NCV_ALLOCATOR_BAD_ALLOC ), |
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error_entry( NCV_ALLOCATOR_BAD_DEALLOC ), |
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error_entry( NCV_ALLOCATOR_INSUFFICIENT_CAPACITY ), |
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error_entry( NCV_ALLOCATOR_DEALLOC_ORDER ), |
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error_entry( NCV_ALLOCATOR_BAD_REUSE ), |
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error_entry( NCV_MEM_COPY_ERROR ), |
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error_entry( NCV_MEM_RESIDENCE_ERROR ), |
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error_entry( NCV_MEM_INSUFFICIENT_CAPACITY ), |
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error_entry( NCV_HAAR_INVALID_PIXEL_STEP ), |
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error_entry( NCV_HAAR_TOO_MANY_FEATURES_IN_CLASSIFIER ), |
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error_entry( NCV_HAAR_TOO_MANY_FEATURES_IN_CASCADE ), |
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error_entry( NCV_HAAR_TOO_LARGE_FEATURES ), |
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error_entry( NCV_HAAR_XML_LOADING_EXCEPTION ), |
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error_entry( NCV_NOIMPL_HAAR_TILTED_FEATURES ), |
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error_entry( NCV_WARNING_HAAR_DETECTIONS_VECTOR_OVERFLOW ), |
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error_entry( NPPST_SUCCESS ), |
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error_entry( NPPST_ERROR ), |
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error_entry( NPPST_CUDA_KERNEL_EXECUTION_ERROR ), |
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error_entry( NPPST_NULL_POINTER_ERROR ), |
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error_entry( NPPST_TEXTURE_BIND_ERROR ), |
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error_entry( NPPST_MEMCPY_ERROR ), |
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error_entry( NPPST_MEM_ALLOC_ERR ), |
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error_entry( NPPST_MEMFREE_ERR ), |
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error_entry( NPPST_INVALID_ROI ), |
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error_entry( NPPST_INVALID_STEP ), |
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error_entry( NPPST_INVALID_SCALE ), |
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error_entry( NPPST_MEM_INSUFFICIENT_BUFFER ), |
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error_entry( NPPST_MEM_RESIDENCE_ERROR ), |
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error_entry( NPPST_MEM_INTERNAL_ERROR ) |
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}; |
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const size_t ncv_error_num = sizeof(ncv_errors) / sizeof(ncv_errors[0]); |
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////////////////////////////////////////////////////////////////////////// |
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// CUFFT errors |
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const ErrorEntry cufft_errors[] = |
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{ |
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error_entry( CUFFT_INVALID_PLAN ), |
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error_entry( CUFFT_ALLOC_FAILED ), |
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error_entry( CUFFT_INVALID_TYPE ), |
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error_entry( CUFFT_INVALID_VALUE ), |
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error_entry( CUFFT_INTERNAL_ERROR ), |
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error_entry( CUFFT_EXEC_FAILED ), |
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error_entry( CUFFT_SETUP_FAILED ), |
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error_entry( CUFFT_INVALID_SIZE ), |
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error_entry( CUFFT_UNALIGNED_DATA ) |
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}; |
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const int cufft_error_num = sizeof(cufft_errors) / sizeof(cufft_errors[0]); |
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////////////////////////////////////////////////////////////////////////// |
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// CUBLAS errors |
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const ErrorEntry cublas_errors[] = |
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{ |
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error_entry( CUBLAS_STATUS_SUCCESS ), |
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error_entry( CUBLAS_STATUS_NOT_INITIALIZED ), |
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error_entry( CUBLAS_STATUS_ALLOC_FAILED ), |
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error_entry( CUBLAS_STATUS_INVALID_VALUE ), |
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error_entry( CUBLAS_STATUS_ARCH_MISMATCH ), |
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error_entry( CUBLAS_STATUS_MAPPING_ERROR ), |
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error_entry( CUBLAS_STATUS_EXECUTION_FAILED ), |
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error_entry( CUBLAS_STATUS_INTERNAL_ERROR ) |
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}; |
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const int cublas_error_num = sizeof(cublas_errors) / sizeof(cublas_errors[0]); |
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} |
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namespace cv |
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{ |
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namespace gpu |
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{ |
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void nppError(int code, const char *file, const int line, const char *func) |
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{ |
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string msg = getErrorString(code, npp_errors, npp_error_num); |
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cv::gpu::error(msg.c_str(), file, line, func); |
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} |
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void ncvError(int code, const char *file, const int line, const char *func) |
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{ |
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string msg = getErrorString(code, ncv_errors, ncv_error_num); |
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cv::gpu::error(msg.c_str(), file, line, func); |
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} |
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void cufftError(int code, const char *file, const int line, const char *func) |
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{ |
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string msg = getErrorString(code, cufft_errors, cufft_error_num); |
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cv::gpu::error(msg.c_str(), file, line, func); |
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} |
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void cublasError(int code, const char *file, const int line, const char *func) |
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{ |
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string msg = getErrorString(code, cublas_errors, cublas_error_num); |
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cv::gpu::error(msg.c_str(), file, line, func); |
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} |
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} |
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} |
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#endif
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