modules/core/include/opencv2/core/cuda.inl.hpp

/* [<][>][^][v][top][bottom][index][help] */
This source file includes following definitions.
allocator
allocator
allocator
allocator
allocator
allocator
allocator
create
swap
clone
copyTo
setTo
setTo
convertTo
convertTo
convertTo
assignTo
ptr
ptr
ptr
ptr
row
col
rowRange
rowRange
colRange
colRange
isContinuous
elemSize
elemSize1
type
depth
channels
step1
size
empty
createContinuous
createContinuous
createContinuous
ensureSizeIsEnough
swap
alloc_type
alloc_type
alloc_type
alloc_type
alloc_type
swap
clone
create
createMatHeader
isContinuous
elemSize
elemSize1
type
depth
channels
step1
size
empty
swap
has
hasEqualOrGreater
deviceID
freeMemory
totalMemory
supports
size
/*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.
// Copyright (C) 2013, OpenCV Foundation, 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 __OPENCV_CORE_CUDAINL_HPP__
#define __OPENCV_CORE_CUDAINL_HPP__

#include "opencv2/core/cuda.hpp"

//! @cond IGNORED

namespace cv { namespace cuda {

//===================================================================================
// GpuMat
//===================================================================================

inline
GpuMat::GpuMat(Allocator* allocator_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
{}

inline
GpuMat::GpuMat(int rows_, int cols_, int type_, Allocator* allocator_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
{
    if (rows_ > 0 && cols_ > 0)
        create(rows_, cols_, type_);
}

inline
GpuMat::GpuMat(Size size_, int type_, Allocator* allocator_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
{
    if (size_.height > 0 && size_.width > 0)
        create(size_.height, size_.width, type_);
}

inline
GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_, Allocator* allocator_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
{
    if (rows_ > 0 && cols_ > 0)
    {
        create(rows_, cols_, type_);
        setTo(s_);
    }
}

inline
GpuMat::GpuMat(Size size_, int type_, Scalar s_, Allocator* allocator_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
{
    if (size_.height > 0 && size_.width > 0)
    {
        create(size_.height, size_.width, type_);
        setTo(s_);
    }
}

inline
GpuMat::GpuMat(const GpuMat& m)
    : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), allocator(m.allocator)
{
    if (refcount)
        CV_XADD(refcount, 1);
}

inline
GpuMat::GpuMat(InputArray arr, Allocator* allocator_) :
    flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_)
{
    upload(arr);
}

inline
GpuMat::~GpuMat()
{
    release();
}

inline
GpuMat& GpuMat::operator =(const GpuMat& m)
{
    if (this != &m)
    {
        GpuMat temp(m);
        swap(temp);
    }

    return *this;
}

inline
void GpuMat::create(Size size_, int type_)
{
    create(size_.height, size_.width, type_);
}

inline
void GpuMat::swap(GpuMat& b)
{
    std::swap(flags, b.flags);
    std::swap(rows, b.rows);
    std::swap(cols, b.cols);
    std::swap(step, b.step);
    std::swap(data, b.data);
    std::swap(datastart, b.datastart);
    std::swap(dataend, b.dataend);
    std::swap(refcount, b.refcount);
    std::swap(allocator, b.allocator);
}

inline
GpuMat GpuMat::clone() const
{
    GpuMat m;
    copyTo(m);
    return m;
}

inline
void GpuMat::copyTo(OutputArray dst, InputArray mask) const
{
    copyTo(dst, mask, Stream::Null());
}

inline
GpuMat& GpuMat::setTo(Scalar s)
{
    return setTo(s, Stream::Null());
}

inline
GpuMat& GpuMat::setTo(Scalar s, InputArray mask)
{
    return setTo(s, mask, Stream::Null());
}

inline
void GpuMat::convertTo(OutputArray dst, int rtype) const
{
    convertTo(dst, rtype, Stream::Null());
}

inline
void GpuMat::convertTo(OutputArray dst, int rtype, double alpha, double beta) const
{
    convertTo(dst, rtype, alpha, beta, Stream::Null());
}

inline
void GpuMat::convertTo(OutputArray dst, int rtype, double alpha, Stream& stream) const
{
    convertTo(dst, rtype, alpha, 0.0, stream);
}

inline
void GpuMat::assignTo(GpuMat& m, int _type) const
{
    if (_type < 0)
        m = *this;
    else
        convertTo(m, _type);
}

inline
uchar* GpuMat::ptr(int y)
{
    CV_DbgAssert( (unsigned)y < (unsigned)rows );
    return data + step * y;
}

inline
const uchar* GpuMat::ptr(int y) const
{
    CV_DbgAssert( (unsigned)y < (unsigned)rows );
    return data + step * y;
}

template<typename _Tp> inline
_Tp* GpuMat::ptr(int y)
{
    return (_Tp*)ptr(y);
}

template<typename _Tp> inline
const _Tp* GpuMat::ptr(int y) const
{
    return (const _Tp*)ptr(y);
}

template <class T> inline
GpuMat::operator PtrStepSz<T>() const
{
    return PtrStepSz<T>(rows, cols, (T*)data, step);
}

template <class T> inline
GpuMat::operator PtrStep<T>() const
{
    return PtrStep<T>((T*)data, step);
}

inline
GpuMat GpuMat::row(int y) const
{
    return GpuMat(*this, Range(y, y+1), Range::all());
}

inline
GpuMat GpuMat::col(int x) const
{
    return GpuMat(*this, Range::all(), Range(x, x+1));
}

inline
GpuMat GpuMat::rowRange(int startrow, int endrow) const
{
    return GpuMat(*this, Range(startrow, endrow), Range::all());
}

inline
GpuMat GpuMat::rowRange(Range r) const
{
    return GpuMat(*this, r, Range::all());
}

inline
GpuMat GpuMat::colRange(int startcol, int endcol) const
{
    return GpuMat(*this, Range::all(), Range(startcol, endcol));
}

inline
GpuMat GpuMat::colRange(Range r) const
{
    return GpuMat(*this, Range::all(), r);
}

inline
GpuMat GpuMat::operator ()(Range rowRange_, Range colRange_) const
{
    return GpuMat(*this, rowRange_, colRange_);
}

inline
GpuMat GpuMat::operator ()(Rect roi) const
{
    return GpuMat(*this, roi);
}

inline
bool GpuMat::isContinuous() const
{
    return (flags & Mat::CONTINUOUS_FLAG) != 0;
}

inline
size_t GpuMat::elemSize() const
{
    return CV_ELEM_SIZE(flags);
}

inline
size_t GpuMat::elemSize1() const
{
    return CV_ELEM_SIZE1(flags);
}

inline
int GpuMat::type() const
{
    return CV_MAT_TYPE(flags);
}

inline
int GpuMat::depth() const
{
    return CV_MAT_DEPTH(flags);
}

inline
int GpuMat::channels() const
{
    return CV_MAT_CN(flags);
}

inline
size_t GpuMat::step1() const
{
    return step / elemSize1();
}

inline
Size GpuMat::size() const
{
    return Size(cols, rows);
}

inline
bool GpuMat::empty() const
{
    return data == 0;
}

static inline
GpuMat createContinuous(int rows, int cols, int type)
{
    GpuMat m;
    createContinuous(rows, cols, type, m);
    return m;
}

static inline
void createContinuous(Size size, int type, OutputArray arr)
{
    createContinuous(size.height, size.width, type, arr);
}

static inline
GpuMat createContinuous(Size size, int type)
{
    GpuMat m;
    createContinuous(size, type, m);
    return m;
}

static inline
void ensureSizeIsEnough(Size size, int type, OutputArray arr)
{
    ensureSizeIsEnough(size.height, size.width, type, arr);
}

static inline
void swap(GpuMat& a, GpuMat& b)
{
    a.swap(b);
}

//===================================================================================
// HostMem
//===================================================================================

inline
HostMem::HostMem(AllocType alloc_type_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{
}

inline
HostMem::HostMem(const HostMem& m)
    : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend), alloc_type(m.alloc_type)
{
    if( refcount )
        CV_XADD(refcount, 1);
}

inline
HostMem::HostMem(int rows_, int cols_, int type_, AllocType alloc_type_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{
    if (rows_ > 0 && cols_ > 0)
        create(rows_, cols_, type_);
}

inline
HostMem::HostMem(Size size_, int type_, AllocType alloc_type_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{
    if (size_.height > 0 && size_.width > 0)
        create(size_.height, size_.width, type_);
}

inline
HostMem::HostMem(InputArray arr, AllocType alloc_type_)
    : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
{
    arr.getMat().copyTo(*this);
}

inline
HostMem::~HostMem()
{
    release();
}

inline
HostMem& HostMem::operator =(const HostMem& m)
{
    if (this != &m)
    {
        HostMem temp(m);
        swap(temp);
    }

    return *this;
}

inline
void HostMem::swap(HostMem& b)
{
    std::swap(flags, b.flags);
    std::swap(rows, b.rows);
    std::swap(cols, b.cols);
    std::swap(step, b.step);
    std::swap(data, b.data);
    std::swap(datastart, b.datastart);
    std::swap(dataend, b.dataend);
    std::swap(refcount, b.refcount);
    std::swap(alloc_type, b.alloc_type);
}

inline
HostMem HostMem::clone() const
{
    HostMem m(size(), type(), alloc_type);
    createMatHeader().copyTo(m);
    return m;
}

inline
void HostMem::create(Size size_, int type_)
{
    create(size_.height, size_.width, type_);
}

inline
Mat HostMem::createMatHeader() const
{
    return Mat(size(), type(), data, step);
}

inline
bool HostMem::isContinuous() const
{
    return (flags & Mat::CONTINUOUS_FLAG) != 0;
}

inline
size_t HostMem::elemSize() const
{
    return CV_ELEM_SIZE(flags);
}

inline
size_t HostMem::elemSize1() const
{
    return CV_ELEM_SIZE1(flags);
}

inline
int HostMem::type() const
{
    return CV_MAT_TYPE(flags);
}

inline
int HostMem::depth() const
{
    return CV_MAT_DEPTH(flags);
}

inline
int HostMem::channels() const
{
    return CV_MAT_CN(flags);
}

inline
size_t HostMem::step1() const
{
    return step / elemSize1();
}

inline
Size HostMem::size() const
{
    return Size(cols, rows);
}

inline
bool HostMem::empty() const
{
    return data == 0;
}

static inline
void swap(HostMem& a, HostMem& b)
{
    a.swap(b);
}

//===================================================================================
// Stream
//===================================================================================

inline
Stream::Stream(const Ptr<Impl>& impl)
    : impl_(impl)
{
}

//===================================================================================
// Initialization & Info
//===================================================================================

inline
bool TargetArchs::has(int major, int minor)
{
    return hasPtx(major, minor) || hasBin(major, minor);
}

inline
bool TargetArchs::hasEqualOrGreater(int major, int minor)
{
    return hasEqualOrGreaterPtx(major, minor) || hasEqualOrGreaterBin(major, minor);
}

inline
DeviceInfo::DeviceInfo()
{
    device_id_ = getDevice();
}

inline
DeviceInfo::DeviceInfo(int device_id)
{
    CV_Assert( device_id >= 0 && device_id < getCudaEnabledDeviceCount() );
    device_id_ = device_id;
}

inline
int DeviceInfo::deviceID() const
{
    return device_id_;
}

inline
size_t DeviceInfo::freeMemory() const
{
    size_t _totalMemory, _freeMemory;
    queryMemory(_totalMemory, _freeMemory);
    return _freeMemory;
}

inline
size_t DeviceInfo::totalMemory() const
{
    size_t _totalMemory, _freeMemory;
    queryMemory(_totalMemory, _freeMemory);
    return _totalMemory;
}

inline
bool DeviceInfo::supports(FeatureSet feature_set) const
{
    int version = majorVersion() * 10 + minorVersion();
    return version >= feature_set;
}


}} // namespace cv { namespace cuda {

//===================================================================================
// Mat
//===================================================================================

namespace cv {

inline
Mat::Mat(const cuda::GpuMat& m)
    : flags(0), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows)
{
    m.download(*this);
}

}

//! @endcond

#endif // __OPENCV_CORE_CUDAINL_HPP__
/* [<][>][^][v][top][bottom][index][help] */
root/modules/core/include/opencv2/core/cuda.inl.hpp

INCLUDED FROM

DEFINITIONS
