/*M///////////////////////////////////////////////////////////////////////////////////////
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//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
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// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
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//M*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA)
#else /* !defined (HAVE_CUDA) */
namespace
{
#define error_entry(entry) { entry, #entry }
//////////////////////////////////////////////////////////////////////////
// NPP errors
struct NppError
{
int error;
string str;
}
npp_errors [] =
{
error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
#if defined (_MSC_VER)
error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ),
#endif
error_entry( NPP_BAD_ARG_ERROR ),
error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_TEXTURE_BIND_ERROR ),
error_entry( NPP_COEFF_ERROR ),
error_entry( NPP_RECT_ERROR ),
error_entry( NPP_QUAD_ERROR ),
error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ),
error_entry( NPP_NOT_EVEN_STEP_ERROR ),
error_entry( NPP_INTERPOLATION_ERROR ),
error_entry( NPP_RESIZE_FACTOR_ERROR ),
error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ),
error_entry( NPP_MEMFREE_ERR ),
error_entry( NPP_MEMSET_ERR ),
error_entry( NPP_MEMCPY_ERROR ),
error_entry( NPP_MEM_ALLOC_ERR ),
error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
error_entry( NPP_MIRROR_FLIP_ERR ),
error_entry( NPP_INVALID_INPUT ),
error_entry( NPP_ALIGNMENT_ERROR ),
error_entry( NPP_STEP_ERROR ),
error_entry( NPP_SIZE_ERROR ),
error_entry( NPP_POINTER_ERROR ),
error_entry( NPP_NULL_POINTER_ERROR ),
error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ),
error_entry( NPP_NOT_IMPLEMENTED_ERROR ),
error_entry( NPP_ERROR ),
error_entry( NPP_NO_ERROR ),
error_entry( NPP_SUCCESS ),
error_entry( NPP_WARNING ),
error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ),
error_entry( NPP_MISALIGNED_DST_ROI_WARNING ),
error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ),
error_entry( NPP_DOUBLE_SIZE_WARNING ),
error_entry( NPP_ODD_ROI_WARNING )
};
int error_num = sizeof(npp_errors)/sizeof(npp_errors[0]);
struct Searcher
{
int err;
Searcher(int err_) : err(err_) {};
bool operator()(const NppError& e) const { return e.error == err; }
};
//////////////////////////////////////////////////////////////////////////
// CUFFT errors
struct CufftError
{
int code;
string message;
};
const CufftError cufft_errors[] =
{
error_entry(CUFFT_INVALID_PLAN),
error_entry(CUFFT_ALLOC_FAILED),
error_entry(CUFFT_INVALID_TYPE),
error_entry(CUFFT_INVALID_VALUE),
error_entry(CUFFT_INTERNAL_ERROR),
error_entry(CUFFT_EXEC_FAILED),
error_entry(CUFFT_SETUP_FAILED),
error_entry(CUFFT_INVALID_SIZE),
error_entry(CUFFT_UNALIGNED_DATA)
};
struct CufftErrorComparer
{
CufftErrorComparer(int code_): code(code_) {}
bool operator()(const CufftError& other) const
{
return other.code == code;
}
int code;
};
const int cufft_error_num = sizeof(cufft_errors) / sizeof(cufft_errors[0]);
}
namespace cv
{
namespace gpu
{
const string getNppErrorString( int err )
{
int idx = std::find_if(npp_errors, npp_errors + error_num, Searcher(err)) - npp_errors;
const string& msg = (idx != error_num) ? npp_errors[idx].str : string("Unknown error code");
std::stringstream interpreter;
interpreter << msg <<" [Code = " << err << "]";
return interpreter.str();
}
void nppError( int err, const char *file, const int line, const char *func)
{
cv::error( cv::Exception(CV_GpuNppCallError, getNppErrorString(err), func, file, line) );
}
const string getCufftErrorString(int err_code)
{
const CufftError* cufft_error = std::find_if(
cufft_errors, cufft_errors + cufft_error_num,
CufftErrorComparer(err_code));
bool found = cufft_error != cufft_errors + cufft_error_num;
std::stringstream ss;
ss << (found ? cufft_error->message : "Unknown error code");
ss << " [Code = " << err_code << "]";
return ss.str();
}
void cufftError(int err, const char *file, const int line, const char *func)
{
cv::error(cv::Exception(CV_GpuCufftCallError, getCufftErrorString(err), func, file, line));
}
void error(const char *error_string, const char *file, const int line, const char *func)
{
int code = CV_GpuApiCallError;
if (std::uncaught_exception())
{
const char* errorStr = cvErrorStr(code);
const char* function = func ? func : "unknown function";
std::cerr << "OpenCV Error: " << errorStr << "(" << error_string << ") in " << function << ", file " << file << ", line " << line;
std::cerr.flush();
}
else
cv::error( cv::Exception(code, error_string, func, file, line) );
}
}
}
#endif