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opencv/modules/gpulegacy/include/opencv2/gpulegacy/NCV.hpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// 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.
//
// * 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.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef _ncv_hpp_
#define _ncv_hpp_
#include "opencv2/core/cvdef.h"
#ifdef _WIN32
#define WIN32_LEAN_AND_MEAN
#endif
#include <cuda_runtime.h>
#include "opencv2/core/cvstd.hpp"
#include "opencv2/core/utility.hpp"
//==============================================================================
//
// Compile-time assert functionality
//
//==============================================================================
/**
* Compile-time assert namespace
*/
namespace NcvCTprep
{
template <bool x>
struct CT_ASSERT_FAILURE;
template <>
struct CT_ASSERT_FAILURE<true> {};
template <int x>
struct assertTest{};
}
#define NCV_CT_PREP_PASTE_AUX(a,b) a##b ///< Concatenation indirection macro
#define NCV_CT_PREP_PASTE(a,b) NCV_CT_PREP_PASTE_AUX(a, b) ///< Concatenation macro
/**
* Performs compile-time assertion of a condition on the file scope
*/
#define NCV_CT_ASSERT(X) \
typedef NcvCTprep::assertTest<sizeof(NcvCTprep::CT_ASSERT_FAILURE< (bool)(X) >)> \
NCV_CT_PREP_PASTE(__ct_assert_typedef_, __LINE__)
//==============================================================================
//
// Alignment macros
//
//==============================================================================
#if !defined(__align__) && !defined(__CUDACC__)
#if defined(_WIN32) || defined(_WIN64)
#define __align__(n) __declspec(align(n))
#elif defined(__unix__)
#define __align__(n) __attribute__((__aligned__(n)))
#endif
#endif
//==============================================================================
//
// Integral and compound types of guaranteed size
//
//==============================================================================
typedef bool NcvBool;
typedef long long Ncv64s;
#if defined(__APPLE__) && !defined(__CUDACC__)
typedef uint64_t Ncv64u;
#else
typedef unsigned long long Ncv64u;
#endif
typedef int Ncv32s;
typedef unsigned int Ncv32u;
typedef short Ncv16s;
typedef unsigned short Ncv16u;
typedef signed char Ncv8s;
typedef unsigned char Ncv8u;
typedef float Ncv32f;
typedef double Ncv64f;
struct NcvRect8u
{
Ncv8u x;
Ncv8u y;
Ncv8u width;
Ncv8u height;
__host__ __device__ NcvRect8u() : x(0), y(0), width(0), height(0) {};
__host__ __device__ NcvRect8u(Ncv8u x_, Ncv8u y_, Ncv8u width_, Ncv8u height_) : x(x_), y(y_), width(width_), height(height_) {}
};
struct NcvRect32s
{
Ncv32s x; ///< x-coordinate of upper left corner.
Ncv32s y; ///< y-coordinate of upper left corner.
Ncv32s width; ///< Rectangle width.
Ncv32s height; ///< Rectangle height.
__host__ __device__ NcvRect32s() : x(0), y(0), width(0), height(0) {};
__host__ __device__ NcvRect32s(Ncv32s x_, Ncv32s y_, Ncv32s width_, Ncv32s height_)
: x(x_), y(y_), width(width_), height(height_) {}
};
struct NcvRect32u
{
Ncv32u x; ///< x-coordinate of upper left corner.
Ncv32u y; ///< y-coordinate of upper left corner.
Ncv32u width; ///< Rectangle width.
Ncv32u height; ///< Rectangle height.
__host__ __device__ NcvRect32u() : x(0), y(0), width(0), height(0) {};
__host__ __device__ NcvRect32u(Ncv32u x_, Ncv32u y_, Ncv32u width_, Ncv32u height_)
: x(x_), y(y_), width(width_), height(height_) {}
};
struct NcvSize32s
{
Ncv32s width; ///< Rectangle width.
Ncv32s height; ///< Rectangle height.
__host__ __device__ NcvSize32s() : width(0), height(0) {};
__host__ __device__ NcvSize32s(Ncv32s width_, Ncv32s height_) : width(width_), height(height_) {}
};
struct NcvSize32u
{
Ncv32u width; ///< Rectangle width.
Ncv32u height; ///< Rectangle height.
__host__ __device__ NcvSize32u() : width(0), height(0) {};
__host__ __device__ NcvSize32u(Ncv32u width_, Ncv32u height_) : width(width_), height(height_) {}
__host__ __device__ bool operator == (const NcvSize32u &another) const {return this->width == another.width && this->height == another.height;}
};
struct NcvPoint2D32s
{
Ncv32s x; ///< Point X.
Ncv32s y; ///< Point Y.
__host__ __device__ NcvPoint2D32s() : x(0), y(0) {};
__host__ __device__ NcvPoint2D32s(Ncv32s x_, Ncv32s y_) : x(x_), y(y_) {}
};
struct NcvPoint2D32u
{
Ncv32u x; ///< Point X.
Ncv32u y; ///< Point Y.
__host__ __device__ NcvPoint2D32u() : x(0), y(0) {};
__host__ __device__ NcvPoint2D32u(Ncv32u x_, Ncv32u y_) : x(x_), y(y_) {}
};
NCV_CT_ASSERT(sizeof(NcvBool) <= 4);
NCV_CT_ASSERT(sizeof(Ncv64s) == 8);
NCV_CT_ASSERT(sizeof(Ncv64u) == 8);
NCV_CT_ASSERT(sizeof(Ncv32s) == 4);
NCV_CT_ASSERT(sizeof(Ncv32u) == 4);
NCV_CT_ASSERT(sizeof(Ncv16s) == 2);
NCV_CT_ASSERT(sizeof(Ncv16u) == 2);
NCV_CT_ASSERT(sizeof(Ncv8s) == 1);
NCV_CT_ASSERT(sizeof(Ncv8u) == 1);
NCV_CT_ASSERT(sizeof(Ncv32f) == 4);
NCV_CT_ASSERT(sizeof(Ncv64f) == 8);
NCV_CT_ASSERT(sizeof(NcvRect8u) == sizeof(Ncv32u));
NCV_CT_ASSERT(sizeof(NcvRect32s) == 4 * sizeof(Ncv32s));
NCV_CT_ASSERT(sizeof(NcvRect32u) == 4 * sizeof(Ncv32u));
NCV_CT_ASSERT(sizeof(NcvSize32u) == 2 * sizeof(Ncv32u));
NCV_CT_ASSERT(sizeof(NcvPoint2D32u) == 2 * sizeof(Ncv32u));
//==============================================================================
//
// Persistent constants
//
//==============================================================================
const Ncv32u K_WARP_SIZE = 32;
const Ncv32u K_LOG2_WARP_SIZE = 5;
//==============================================================================
//
// Error handling
//
//==============================================================================
CV_EXPORTS void ncvDebugOutput(const cv::String &msg);
typedef void NCVDebugOutputHandler(const cv::String &msg);
CV_EXPORTS void ncvSetDebugOutputHandler(NCVDebugOutputHandler* func);
#define ncvAssertPrintCheck(pred, msg) \
do \
{ \
if (!(pred)) \
{ \
cv::String str = cv::format("NCV Assertion Failed: %s, file=%s, line=%d", msg, __FILE__, __LINE__); \
ncvDebugOutput(str); \
} \
} while (0)
#define ncvAssertPrintReturn(pred, msg, err) \
do \
{ \
ncvAssertPrintCheck(pred, msg); \
if (!(pred)) return err; \
} while (0)
#define ncvAssertReturn(pred, err) \
do \
{ \
cv::String msg = cv::format("retcode=%d", (int)err); \
ncvAssertPrintReturn(pred, msg.c_str(), err); \
} while (0)
#define ncvAssertReturnNcvStat(ncvOp) \
do \
{ \
NCVStatus _ncvStat = ncvOp; \
cv::String msg = cv::format("NcvStat=%d", (int)_ncvStat); \
ncvAssertPrintReturn(NCV_SUCCESS==_ncvStat, msg.c_str(), _ncvStat); \
} while (0)
#define ncvAssertCUDAReturn(cudacall, errCode) \
do \
{ \
cudaError_t res = cudacall; \
cv::String msg = cv::format("cudaError_t=%d", (int)res); \
ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
} while (0)
#define ncvAssertCUDALastErrorReturn(errCode) \
do \
{ \
cudaError_t res = cudaGetLastError(); \
cv::String msg = cv::format("cudaError_t=%d", (int)res); \
ncvAssertPrintReturn(cudaSuccess==res, msg.c_str(), errCode); \
} while (0)
/**
* Return-codes for status notification, errors and warnings
*/
enum
{
//NCV statuses
NCV_SUCCESS,
NCV_UNKNOWN_ERROR,
NCV_CUDA_ERROR,
NCV_NPP_ERROR,
NCV_FILE_ERROR,
NCV_NULL_PTR,
NCV_INCONSISTENT_INPUT,
NCV_TEXTURE_BIND_ERROR,
NCV_DIMENSIONS_INVALID,
NCV_INVALID_ROI,
NCV_INVALID_STEP,
NCV_INVALID_SCALE,
NCV_ALLOCATOR_NOT_INITIALIZED,
NCV_ALLOCATOR_BAD_ALLOC,
NCV_ALLOCATOR_BAD_DEALLOC,
NCV_ALLOCATOR_INSUFFICIENT_CAPACITY,
NCV_ALLOCATOR_DEALLOC_ORDER,
NCV_ALLOCATOR_BAD_REUSE,
NCV_MEM_COPY_ERROR,
NCV_MEM_RESIDENCE_ERROR,
NCV_MEM_INSUFFICIENT_CAPACITY,
NCV_HAAR_INVALID_PIXEL_STEP,
NCV_HAAR_TOO_MANY_FEATURES_IN_CLASSIFIER,
NCV_HAAR_TOO_MANY_FEATURES_IN_CASCADE,
NCV_HAAR_TOO_LARGE_FEATURES,
NCV_HAAR_XML_LOADING_EXCEPTION,
NCV_NOIMPL_HAAR_TILTED_FEATURES,
NCV_NOT_IMPLEMENTED,
NCV_WARNING_HAAR_DETECTIONS_VECTOR_OVERFLOW,
//NPP statuses
NPPST_SUCCESS = NCV_SUCCESS, ///< Successful operation (same as NPP_NO_ERROR)
NPPST_ERROR, ///< Unknown error
NPPST_CUDA_KERNEL_EXECUTION_ERROR, ///< CUDA kernel execution error
NPPST_NULL_POINTER_ERROR, ///< NULL pointer argument error
NPPST_TEXTURE_BIND_ERROR, ///< CUDA texture binding error or non-zero offset returned
NPPST_MEMCPY_ERROR, ///< CUDA memory copy error
NPPST_MEM_ALLOC_ERR, ///< CUDA memory allocation error
NPPST_MEMFREE_ERR, ///< CUDA memory deallocation error
//NPPST statuses
NPPST_INVALID_ROI, ///< Invalid region of interest argument
NPPST_INVALID_STEP, ///< Invalid image lines step argument (check sign, alignment, relation to image width)
NPPST_INVALID_SCALE, ///< Invalid scale parameter passed
NPPST_MEM_INSUFFICIENT_BUFFER, ///< Insufficient user-allocated buffer
NPPST_MEM_RESIDENCE_ERROR, ///< Memory residence error detected (check if pointers should be device or pinned)
NPPST_MEM_INTERNAL_ERROR, ///< Internal memory management error
NCV_LAST_STATUS ///< Marker to continue error numeration in other files
};
typedef Ncv32u NCVStatus;
#define NCV_SET_SKIP_COND(x) \
bool __ncv_skip_cond = x
#define NCV_RESET_SKIP_COND(x) \
__ncv_skip_cond = x
#define NCV_SKIP_COND_BEGIN \
if (!__ncv_skip_cond) {
#define NCV_SKIP_COND_END \
}
//==============================================================================
//
// Timer
//
//==============================================================================
typedef struct _NcvTimer *NcvTimer;
CV_EXPORTS NcvTimer ncvStartTimer(void);
CV_EXPORTS double ncvEndQueryTimerUs(NcvTimer t);
CV_EXPORTS double ncvEndQueryTimerMs(NcvTimer t);
//==============================================================================
//
// Memory management classes template compound types
//
//==============================================================================
/**
* Calculates the aligned top bound value
*/
CV_EXPORTS Ncv32u alignUp(Ncv32u what, Ncv32u alignment);
/**
* NCVMemoryType
*/
enum NCVMemoryType
{
NCVMemoryTypeNone,
NCVMemoryTypeHostPageable,
NCVMemoryTypeHostPinned,
NCVMemoryTypeDevice
};
/**
* NCVMemPtr
*/
struct CV_EXPORTS NCVMemPtr
{
void *ptr;
NCVMemoryType memtype;
void clear();
};
/**
* NCVMemSegment
*/
struct CV_EXPORTS NCVMemSegment
{
NCVMemPtr begin;
size_t size;
void clear();
};
/**
* INCVMemAllocator (Interface)
*/
class CV_EXPORTS INCVMemAllocator
{
public:
virtual ~INCVMemAllocator() = 0;
virtual NCVStatus alloc(NCVMemSegment &seg, size_t size) = 0;
virtual NCVStatus dealloc(NCVMemSegment &seg) = 0;
virtual NcvBool isInitialized(void) const = 0;
virtual NcvBool isCounting(void) const = 0;
virtual NCVMemoryType memType(void) const = 0;
virtual Ncv32u alignment(void) const = 0;
virtual size_t maxSize(void) const = 0;
};
inline INCVMemAllocator::~INCVMemAllocator() {}
/**
* NCVMemStackAllocator
*/
class CV_EXPORTS NCVMemStackAllocator : public INCVMemAllocator
{
NCVMemStackAllocator();
NCVMemStackAllocator(const NCVMemStackAllocator &);
public:
explicit NCVMemStackAllocator(Ncv32u alignment);
NCVMemStackAllocator(NCVMemoryType memT, size_t capacity, Ncv32u alignment, void *reusePtr=NULL);
virtual ~NCVMemStackAllocator();
virtual NCVStatus alloc(NCVMemSegment &seg, size_t size);
virtual NCVStatus dealloc(NCVMemSegment &seg);
virtual NcvBool isInitialized(void) const;
virtual NcvBool isCounting(void) const;
virtual NCVMemoryType memType(void) const;
virtual Ncv32u alignment(void) const;
virtual size_t maxSize(void) const;
private:
NCVMemoryType _memType;
Ncv32u _alignment;
Ncv8u *allocBegin;
Ncv8u *begin;
Ncv8u *end;
size_t currentSize;
size_t _maxSize;
NcvBool bReusesMemory;
};
/**
* NCVMemNativeAllocator
*/
class CV_EXPORTS NCVMemNativeAllocator : public INCVMemAllocator
{
public:
NCVMemNativeAllocator(NCVMemoryType memT, Ncv32u alignment);
virtual ~NCVMemNativeAllocator();
virtual NCVStatus alloc(NCVMemSegment &seg, size_t size);
virtual NCVStatus dealloc(NCVMemSegment &seg);
virtual NcvBool isInitialized(void) const;
virtual NcvBool isCounting(void) const;
virtual NCVMemoryType memType(void) const;
virtual Ncv32u alignment(void) const;
virtual size_t maxSize(void) const;
private:
NCVMemNativeAllocator();
NCVMemNativeAllocator(const NCVMemNativeAllocator &);
NCVMemoryType _memType;
Ncv32u _alignment;
size_t currentSize;
size_t _maxSize;
};
/**
* Copy dispatchers
*/
CV_EXPORTS NCVStatus memSegCopyHelper(void *dst, NCVMemoryType dstType,
const void *src, NCVMemoryType srcType,
size_t sz, cudaStream_t cuStream);
CV_EXPORTS NCVStatus memSegCopyHelper2D(void *dst, Ncv32u dstPitch, NCVMemoryType dstType,
const void *src, Ncv32u srcPitch, NCVMemoryType srcType,
Ncv32u widthbytes, Ncv32u height, cudaStream_t cuStream);
/**
* NCVVector (1D)
*/
template <class T>
class NCVVector
{
NCVVector(const NCVVector &);
public:
NCVVector()
{
clear();
}
virtual ~NCVVector() {}
void clear()
{
_ptr = NULL;
_length = 0;
_memtype = NCVMemoryTypeNone;
}
NCVStatus copySolid(NCVVector<T> &dst, cudaStream_t cuStream, size_t howMuch=0) const
{
if (howMuch == 0)
{
ncvAssertReturn(dst._length == this->_length, NCV_MEM_COPY_ERROR);
howMuch = this->_length * sizeof(T);
}
else
{
ncvAssertReturn(dst._length * sizeof(T) >= howMuch &&
this->_length * sizeof(T) >= howMuch &&
howMuch > 0, NCV_MEM_COPY_ERROR);
}
ncvAssertReturn((this->_ptr != NULL || this->_memtype == NCVMemoryTypeNone) &&
(dst._ptr != NULL || dst._memtype == NCVMemoryTypeNone), NCV_NULL_PTR);
NCVStatus ncvStat = NCV_SUCCESS;
if (this->_memtype != NCVMemoryTypeNone)
{
ncvStat = memSegCopyHelper(dst._ptr, dst._memtype,
this->_ptr, this->_memtype,
howMuch, cuStream);
}
return ncvStat;
}
T *ptr() const {return this->_ptr;}
size_t length() const {return this->_length;}
NCVMemoryType memType() const {return this->_memtype;}
protected:
T *_ptr;
size_t _length;
NCVMemoryType _memtype;
};
/**
* NCVVectorAlloc
*/
template <class T>
class NCVVectorAlloc : public NCVVector<T>
{
NCVVectorAlloc();
NCVVectorAlloc(const NCVVectorAlloc &);
NCVVectorAlloc& operator=(const NCVVectorAlloc<T>&);
public:
NCVVectorAlloc(INCVMemAllocator &allocator_, Ncv32u length_)
:
allocator(allocator_)
{
NCVStatus ncvStat;
this->clear();
this->allocatedMem.clear();
ncvStat = allocator.alloc(this->allocatedMem, length_ * sizeof(T));
ncvAssertPrintReturn(ncvStat == NCV_SUCCESS, "NCVVectorAlloc ctor:: alloc failed", );
this->_ptr = (T *)this->allocatedMem.begin.ptr;
this->_length = length_;
this->_memtype = this->allocatedMem.begin.memtype;
}
~NCVVectorAlloc()
{
NCVStatus ncvStat;
ncvStat = allocator.dealloc(this->allocatedMem);
ncvAssertPrintCheck(ncvStat == NCV_SUCCESS, "NCVVectorAlloc dtor:: dealloc failed");
this->clear();
}
NcvBool isMemAllocated() const
{
return (this->allocatedMem.begin.ptr != NULL) || (this->allocator.isCounting());
}
Ncv32u getAllocatorsAlignment() const
{
return allocator.alignment();
}
NCVMemSegment getSegment() const
{
return allocatedMem;
}
private:
INCVMemAllocator &allocator;
NCVMemSegment allocatedMem;
};
/**
* NCVVectorReuse
*/
template <class T>
class NCVVectorReuse : public NCVVector<T>
{
NCVVectorReuse();
NCVVectorReuse(const NCVVectorReuse &);
public:
explicit NCVVectorReuse(const NCVMemSegment &memSegment)
{
this->bReused = false;
this->clear();
this->_length = memSegment.size / sizeof(T);
this->_ptr = (T *)memSegment.begin.ptr;
this->_memtype = memSegment.begin.memtype;
this->bReused = true;
}
NCVVectorReuse(const NCVMemSegment &memSegment, Ncv32u length_)
{
this->bReused = false;
this->clear();
ncvAssertPrintReturn(length_ * sizeof(T) <= memSegment.size, \
"NCVVectorReuse ctor:: memory binding failed due to size mismatch", );
this->_length = length_;
this->_ptr = (T *)memSegment.begin.ptr;
this->_memtype = memSegment.begin.memtype;
this->bReused = true;
}
NcvBool isMemReused() const
{
return this->bReused;
}
private:
NcvBool bReused;
};
/**
* NCVMatrix (2D)
*/
template <class T>
class NCVMatrix
{
NCVMatrix(const NCVMatrix &);
public:
NCVMatrix()
{
clear();
}
virtual ~NCVMatrix() {}
void clear()
{
_ptr = NULL;
_pitch = 0;
_width = 0;
_height = 0;
_memtype = NCVMemoryTypeNone;
}
Ncv32u stride() const
{
return _pitch / sizeof(T);
}
//a side effect of this function is that it copies everything in a single chunk, so the "padding" will be overwritten
NCVStatus copySolid(NCVMatrix<T> &dst, cudaStream_t cuStream, size_t howMuch=0) const
{
if (howMuch == 0)
{
ncvAssertReturn(dst._pitch == this->_pitch &&
dst._height == this->_height, NCV_MEM_COPY_ERROR);
howMuch = this->_pitch * this->_height;
}
else
{
ncvAssertReturn(dst._pitch * dst._height >= howMuch &&
this->_pitch * this->_height >= howMuch &&
howMuch > 0, NCV_MEM_COPY_ERROR);
}
ncvAssertReturn((this->_ptr != NULL || this->_memtype == NCVMemoryTypeNone) &&
(dst._ptr != NULL || dst._memtype == NCVMemoryTypeNone), NCV_NULL_PTR);
NCVStatus ncvStat = NCV_SUCCESS;
if (this->_memtype != NCVMemoryTypeNone)
{
ncvStat = memSegCopyHelper(dst._ptr, dst._memtype,
this->_ptr, this->_memtype,
howMuch, cuStream);
}
return ncvStat;
}
NCVStatus copy2D(NCVMatrix<T> &dst, NcvSize32u roi, cudaStream_t cuStream) const
{
ncvAssertReturn(this->width() >= roi.width && this->height() >= roi.height &&
dst.width() >= roi.width && dst.height() >= roi.height, NCV_MEM_COPY_ERROR);
ncvAssertReturn((this->_ptr != NULL || this->_memtype == NCVMemoryTypeNone) &&
(dst._ptr != NULL || dst._memtype == NCVMemoryTypeNone), NCV_NULL_PTR);
NCVStatus ncvStat = NCV_SUCCESS;
if (this->_memtype != NCVMemoryTypeNone)
{
ncvStat = memSegCopyHelper2D(dst._ptr, dst._pitch, dst._memtype,
this->_ptr, this->_pitch, this->_memtype,
roi.width * sizeof(T), roi.height, cuStream);
}
return ncvStat;
}
T& at(Ncv32u x, Ncv32u y) const
{
NcvBool bOutRange = (x >= this->_width || y >= this->_height);
ncvAssertPrintCheck(!bOutRange, "Error addressing matrix");
if (bOutRange)
{
return *this->_ptr;
}
return ((T *)((Ncv8u *)this->_ptr + y * this->_pitch))[x];
}
T *ptr() const {return this->_ptr;}
Ncv32u width() const {return this->_width;}
Ncv32u height() const {return this->_height;}
NcvSize32u size() const {return NcvSize32u(this->_width, this->_height);}
Ncv32u pitch() const {return this->_pitch;}
NCVMemoryType memType() const {return this->_memtype;}
protected:
T *_ptr;
Ncv32u _width;
Ncv32u _height;
Ncv32u _pitch;
NCVMemoryType _memtype;
};
/**
* NCVMatrixAlloc
*/
template <class T>
class NCVMatrixAlloc : public NCVMatrix<T>
{
NCVMatrixAlloc();
NCVMatrixAlloc(const NCVMatrixAlloc &);
NCVMatrixAlloc& operator=(const NCVMatrixAlloc &);
public:
NCVMatrixAlloc(INCVMemAllocator &allocator_, Ncv32u width_, Ncv32u height_, Ncv32u pitch_=0)
:
allocator(allocator_)
{
NCVStatus ncvStat;
this->clear();
this->allocatedMem.clear();
Ncv32u widthBytes = width_ * sizeof(T);
Ncv32u pitchBytes = alignUp(widthBytes, allocator.alignment());
if (pitch_ != 0)
{
ncvAssertPrintReturn(pitch_ >= pitchBytes &&
(pitch_ & (allocator.alignment() - 1)) == 0,
"NCVMatrixAlloc ctor:: incorrect pitch passed", );
pitchBytes = pitch_;
}
Ncv32u requiredAllocSize = pitchBytes * height_;
ncvStat = allocator.alloc(this->allocatedMem, requiredAllocSize);
ncvAssertPrintReturn(ncvStat == NCV_SUCCESS, "NCVMatrixAlloc ctor:: alloc failed", );
this->_ptr = (T *)this->allocatedMem.begin.ptr;
this->_width = width_;
this->_height = height_;
this->_pitch = pitchBytes;
this->_memtype = this->allocatedMem.begin.memtype;
}
~NCVMatrixAlloc()
{
NCVStatus ncvStat;
ncvStat = allocator.dealloc(this->allocatedMem);
ncvAssertPrintCheck(ncvStat == NCV_SUCCESS, "NCVMatrixAlloc dtor:: dealloc failed");
this->clear();
}
NcvBool isMemAllocated() const
{
return (this->allocatedMem.begin.ptr != NULL) || (this->allocator.isCounting());
}
Ncv32u getAllocatorsAlignment() const
{
return allocator.alignment();
}
NCVMemSegment getSegment() const
{
return allocatedMem;
}
private:
INCVMemAllocator &allocator;
NCVMemSegment allocatedMem;
};
/**
* NCVMatrixReuse
*/
template <class T>
class NCVMatrixReuse : public NCVMatrix<T>
{
NCVMatrixReuse();
NCVMatrixReuse(const NCVMatrixReuse &);
public:
NCVMatrixReuse(const NCVMemSegment &memSegment, Ncv32u alignment, Ncv32u width_, Ncv32u height_, Ncv32u pitch_=0, NcvBool bSkipPitchCheck=false)
{
this->bReused = false;
this->clear();
Ncv32u widthBytes = width_ * sizeof(T);
Ncv32u pitchBytes = alignUp(widthBytes, alignment);
if (pitch_ != 0)
{
if (!bSkipPitchCheck)
{
ncvAssertPrintReturn(pitch_ >= pitchBytes &&
(pitch_ & (alignment - 1)) == 0,
"NCVMatrixReuse ctor:: incorrect pitch passed", );
}
else
{
ncvAssertPrintReturn(pitch_ >= widthBytes, "NCVMatrixReuse ctor:: incorrect pitch passed", );
}
pitchBytes = pitch_;
}
ncvAssertPrintReturn(pitchBytes * height_ <= memSegment.size, \
"NCVMatrixReuse ctor:: memory binding failed due to size mismatch", );
this->_width = width_;
this->_height = height_;
this->_pitch = pitchBytes;
this->_ptr = (T *)memSegment.begin.ptr;
this->_memtype = memSegment.begin.memtype;
this->bReused = true;
}
NCVMatrixReuse(const NCVMatrix<T> &mat, NcvRect32u roi)
{
this->bReused = false;
this->clear();
ncvAssertPrintReturn(roi.x < mat.width() && roi.y < mat.height() && \
roi.x + roi.width <= mat.width() && roi.y + roi.height <= mat.height(),
"NCVMatrixReuse ctor:: memory binding failed due to mismatching ROI and source matrix dims", );
this->_width = roi.width;
this->_height = roi.height;
this->_pitch = mat.pitch();
this->_ptr = &mat.at(roi.x, roi.y);
this->_memtype = mat.memType();
this->bReused = true;
}
NcvBool isMemReused() const
{
return this->bReused;
}
private:
NcvBool bReused;
};
/**
* Operations with rectangles
*/
CV_EXPORTS NCVStatus ncvGroupRectangles_host(NCVVector<NcvRect32u> &hypotheses, Ncv32u &numHypotheses,
Ncv32u minNeighbors, Ncv32f intersectEps, NCVVector<Ncv32u> *hypothesesWeights);
CV_EXPORTS NCVStatus ncvDrawRects_8u_host(Ncv8u *h_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight,
NcvRect32u *h_rects, Ncv32u numRects, Ncv8u color);
CV_EXPORTS NCVStatus ncvDrawRects_32u_host(Ncv32u *h_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight,
NcvRect32u *h_rects, Ncv32u numRects, Ncv32u color);
CV_EXPORTS NCVStatus ncvDrawRects_8u_device(Ncv8u *d_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight,
NcvRect32u *d_rects, Ncv32u numRects, Ncv8u color, cudaStream_t cuStream);
CV_EXPORTS NCVStatus ncvDrawRects_32u_device(Ncv32u *d_dst, Ncv32u dstStride, Ncv32u dstWidth, Ncv32u dstHeight,
NcvRect32u *d_rects, Ncv32u numRects, Ncv32u color, cudaStream_t cuStream);
#define CLAMP(x,a,b) ( (x) > (b) ? (b) : ( (x) < (a) ? (a) : (x) ) )
#define CLAMP_TOP(x, a) (((x) > (a)) ? (a) : (x))
#define CLAMP_BOTTOM(x, a) (((x) < (a)) ? (a) : (x))
#define CLAMP_0_255(x) CLAMP(x,0,255)
#define SUB_BEGIN(type, name) struct { __inline type name
#define SUB_END(name) } name;
#define SUB_CALL(name) name.name
#define SQR(x) ((x)*(x))
#define ncvSafeMatAlloc(name, type, alloc, width, height, err) \
NCVMatrixAlloc<type> name(alloc, width, height); \
ncvAssertReturn(name.isMemAllocated(), err);
#endif // _ncv_hpp_