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author | Abhinav Dronamraju | 2017-09-29 22:00:40 +0530 |
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committer | Abhinav Dronamraju | 2017-09-29 22:00:40 +0530 |
commit | 9bc7ad78e8d7d7acc4b9387aa592542832e80b31 (patch) | |
tree | 7fce060665a91de5e5adb12d02003351c3d1fdfc /thirdparty/includes/OpenCV/opencv2/core/gpumat.hpp | |
parent | 33755eb085a3ca8154cf83773b23fbb8aac4ba3e (diff) | |
parent | ac0045f12ad3d0938758e9742f4107a334e1afaa (diff) | |
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NEW FEATURES AND NEW FUNCTIONS
Diffstat (limited to 'thirdparty/includes/OpenCV/opencv2/core/gpumat.hpp')
-rw-r--r-- | thirdparty/includes/OpenCV/opencv2/core/gpumat.hpp | 564 |
1 files changed, 564 insertions, 0 deletions
diff --git a/thirdparty/includes/OpenCV/opencv2/core/gpumat.hpp b/thirdparty/includes/OpenCV/opencv2/core/gpumat.hpp new file mode 100644 index 00000000..68647d9b --- /dev/null +++ b/thirdparty/includes/OpenCV/opencv2/core/gpumat.hpp @@ -0,0 +1,564 @@ +/*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 __OPENCV_GPUMAT_HPP__ +#define __OPENCV_GPUMAT_HPP__ + +#ifdef __cplusplus + +#include "opencv2/core/core.hpp" +#include "opencv2/core/cuda_devptrs.hpp" + +namespace cv { namespace gpu +{ + //////////////////////////////// Initialization & Info //////////////////////// + + //! This is the only function that do not throw exceptions if the library is compiled without Cuda. + CV_EXPORTS int getCudaEnabledDeviceCount(); + + //! Functions below throw cv::Expception if the library is compiled without Cuda. + + CV_EXPORTS void setDevice(int device); + CV_EXPORTS int getDevice(); + + //! Explicitly destroys and cleans up all resources associated with the current device in the current process. + //! Any subsequent API call to this device will reinitialize the device. + CV_EXPORTS void resetDevice(); + + enum FeatureSet + { + FEATURE_SET_COMPUTE_10 = 10, + FEATURE_SET_COMPUTE_11 = 11, + FEATURE_SET_COMPUTE_12 = 12, + FEATURE_SET_COMPUTE_13 = 13, + FEATURE_SET_COMPUTE_20 = 20, + FEATURE_SET_COMPUTE_21 = 21, + FEATURE_SET_COMPUTE_30 = 30, + FEATURE_SET_COMPUTE_35 = 35, + + GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11, + SHARED_ATOMICS = FEATURE_SET_COMPUTE_12, + NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13, + WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30, + DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35 + }; + + // Checks whether current device supports the given feature + CV_EXPORTS bool deviceSupports(FeatureSet feature_set); + + // Gives information about what GPU archs this OpenCV GPU module was + // compiled for + class CV_EXPORTS TargetArchs + { + public: + static bool builtWith(FeatureSet feature_set); + static bool has(int major, int minor); + static bool hasPtx(int major, int minor); + static bool hasBin(int major, int minor); + static bool hasEqualOrLessPtx(int major, int minor); + static bool hasEqualOrGreater(int major, int minor); + static bool hasEqualOrGreaterPtx(int major, int minor); + static bool hasEqualOrGreaterBin(int major, int minor); + private: + TargetArchs(); + }; + + // Gives information about the given GPU + class CV_EXPORTS DeviceInfo + { + public: + // Creates DeviceInfo object for the current GPU + DeviceInfo() : device_id_(getDevice()) { query(); } + + // Creates DeviceInfo object for the given GPU + DeviceInfo(int device_id) : device_id_(device_id) { query(); } + + std::string name() const { return name_; } + + // Return compute capability versions + int majorVersion() const { return majorVersion_; } + int minorVersion() const { return minorVersion_; } + + int multiProcessorCount() const { return multi_processor_count_; } + + size_t sharedMemPerBlock() const; + + void queryMemory(size_t& totalMemory, size_t& freeMemory) const; + size_t freeMemory() const; + size_t totalMemory() const; + + // Checks whether device supports the given feature + bool supports(FeatureSet feature_set) const; + + // Checks whether the GPU module can be run on the given device + bool isCompatible() const; + + int deviceID() const { return device_id_; } + + private: + void query(); + + int device_id_; + + std::string name_; + int multi_processor_count_; + int majorVersion_; + int minorVersion_; + }; + + CV_EXPORTS void printCudaDeviceInfo(int device); + CV_EXPORTS void printShortCudaDeviceInfo(int device); + + //////////////////////////////// GpuMat /////////////////////////////// + + //! Smart pointer for GPU memory with reference counting. Its interface is mostly similar with cv::Mat. + class CV_EXPORTS GpuMat + { + public: + //! default constructor + GpuMat(); + + //! constructs GpuMatrix of the specified size and type (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.) + GpuMat(int rows, int cols, int type); + GpuMat(Size size, int type); + + //! constucts GpuMatrix and fills it with the specified value _s. + GpuMat(int rows, int cols, int type, Scalar s); + GpuMat(Size size, int type, Scalar s); + + //! copy constructor + GpuMat(const GpuMat& m); + + //! constructor for GpuMatrix headers pointing to user-allocated data + GpuMat(int rows, int cols, int type, void* data, size_t step = Mat::AUTO_STEP); + GpuMat(Size size, int type, void* data, size_t step = Mat::AUTO_STEP); + + //! creates a matrix header for a part of the bigger matrix + GpuMat(const GpuMat& m, Range rowRange, Range colRange); + GpuMat(const GpuMat& m, Rect roi); + + //! builds GpuMat from Mat. Perfom blocking upload to device. + explicit GpuMat(const Mat& m); + + //! destructor - calls release() + ~GpuMat(); + + //! assignment operators + GpuMat& operator = (const GpuMat& m); + + //! pefroms blocking upload data to GpuMat. + void upload(const Mat& m); + + //! downloads data from device to host memory. Blocking calls. + void download(Mat& m) const; + + //! returns a new GpuMatrix header for the specified row + GpuMat row(int y) const; + //! returns a new GpuMatrix header for the specified column + GpuMat col(int x) const; + //! ... for the specified row span + GpuMat rowRange(int startrow, int endrow) const; + GpuMat rowRange(Range r) const; + //! ... for the specified column span + GpuMat colRange(int startcol, int endcol) const; + GpuMat colRange(Range r) const; + + //! returns deep copy of the GpuMatrix, i.e. the data is copied + GpuMat clone() const; + //! copies the GpuMatrix content to "m". + // It calls m.create(this->size(), this->type()). + void copyTo(GpuMat& m) const; + //! copies those GpuMatrix elements to "m" that are marked with non-zero mask elements. + void copyTo(GpuMat& m, const GpuMat& mask) const; + //! converts GpuMatrix to another datatype with optional scalng. See cvConvertScale. + void convertTo(GpuMat& m, int rtype, double alpha = 1, double beta = 0) const; + + void assignTo(GpuMat& m, int type=-1) const; + + //! sets every GpuMatrix element to s + GpuMat& operator = (Scalar s); + //! sets some of the GpuMatrix elements to s, according to the mask + GpuMat& setTo(Scalar s, const GpuMat& mask = GpuMat()); + //! creates alternative GpuMatrix header for the same data, with different + // number of channels and/or different number of rows. see cvReshape. + GpuMat reshape(int cn, int rows = 0) const; + + //! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type. + // previous data is unreferenced if needed. + void create(int rows, int cols, int type); + void create(Size size, int type); + //! decreases reference counter; + // deallocate the data when reference counter reaches 0. + void release(); + + //! swaps with other smart pointer + void swap(GpuMat& mat); + + //! locates GpuMatrix header within a parent GpuMatrix. See below + void locateROI(Size& wholeSize, Point& ofs) const; + //! moves/resizes the current GpuMatrix ROI inside the parent GpuMatrix. + GpuMat& adjustROI(int dtop, int dbottom, int dleft, int dright); + //! extracts a rectangular sub-GpuMatrix + // (this is a generalized form of row, rowRange etc.) + GpuMat operator()(Range rowRange, Range colRange) const; + GpuMat operator()(Rect roi) const; + + //! returns true iff the GpuMatrix data is continuous + // (i.e. when there are no gaps between successive rows). + // similar to CV_IS_GpuMat_CONT(cvGpuMat->type) + bool isContinuous() const; + //! returns element size in bytes, + // similar to CV_ELEM_SIZE(cvMat->type) + size_t elemSize() const; + //! returns the size of element channel in bytes. + size_t elemSize1() const; + //! returns element type, similar to CV_MAT_TYPE(cvMat->type) + int type() const; + //! returns element type, similar to CV_MAT_DEPTH(cvMat->type) + int depth() const; + //! returns element type, similar to CV_MAT_CN(cvMat->type) + int channels() const; + //! returns step/elemSize1() + size_t step1() const; + //! returns GpuMatrix size: + // width == number of columns, height == number of rows + Size size() const; + //! returns true if GpuMatrix data is NULL + bool empty() const; + + //! returns pointer to y-th row + uchar* ptr(int y = 0); + const uchar* ptr(int y = 0) const; + + //! template version of the above method + template<typename _Tp> _Tp* ptr(int y = 0); + template<typename _Tp> const _Tp* ptr(int y = 0) const; + + template <typename _Tp> operator PtrStepSz<_Tp>() const; + template <typename _Tp> operator PtrStep<_Tp>() const; + + // Deprecated function + __CV_GPU_DEPR_BEFORE__ template <typename _Tp> operator DevMem2D_<_Tp>() const __CV_GPU_DEPR_AFTER__; + __CV_GPU_DEPR_BEFORE__ template <typename _Tp> operator PtrStep_<_Tp>() const __CV_GPU_DEPR_AFTER__; + #undef __CV_GPU_DEPR_BEFORE__ + #undef __CV_GPU_DEPR_AFTER__ + + /*! includes several bit-fields: + - the magic signature + - continuity flag + - depth + - number of channels + */ + int flags; + + //! the number of rows and columns + int rows, cols; + + //! a distance between successive rows in bytes; includes the gap if any + size_t step; + + //! pointer to the data + uchar* data; + + //! pointer to the reference counter; + // when GpuMatrix points to user-allocated data, the pointer is NULL + int* refcount; + + //! helper fields used in locateROI and adjustROI + uchar* datastart; + uchar* dataend; + }; + + //! Creates continuous GPU matrix + CV_EXPORTS void createContinuous(int rows, int cols, int type, GpuMat& m); + CV_EXPORTS GpuMat createContinuous(int rows, int cols, int type); + CV_EXPORTS void createContinuous(Size size, int type, GpuMat& m); + CV_EXPORTS GpuMat createContinuous(Size size, int type); + + //! Ensures that size of the given matrix is not less than (rows, cols) size + //! and matrix type is match specified one too + CV_EXPORTS void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m); + CV_EXPORTS void ensureSizeIsEnough(Size size, int type, GpuMat& m); + + CV_EXPORTS GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat); + + //////////////////////////////////////////////////////////////////////// + // Error handling + + CV_EXPORTS void error(const char* error_string, const char* file, const int line, const char* func = ""); + + //////////////////////////////////////////////////////////////////////// + //////////////////////////////////////////////////////////////////////// + //////////////////////////////////////////////////////////////////////// + + inline GpuMat::GpuMat() + : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) + { + } + + inline GpuMat::GpuMat(int rows_, int cols_, int type_) + : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) + { + if (rows_ > 0 && cols_ > 0) + create(rows_, cols_, type_); + } + + inline GpuMat::GpuMat(Size size_, int type_) + : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) + { + if (size_.height > 0 && size_.width > 0) + create(size_.height, size_.width, type_); + } + + inline GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_) + : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) + { + if (rows_ > 0 && cols_ > 0) + { + create(rows_, cols_, type_); + setTo(s_); + } + } + + inline GpuMat::GpuMat(Size size_, int type_, Scalar s_) + : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0) + { + if (size_.height > 0 && size_.width > 0) + { + create(size_.height, size_.width, type_); + setTo(s_); + } + } + + inline GpuMat::~GpuMat() + { + release(); + } + + inline GpuMat GpuMat::clone() const + { + GpuMat m; + copyTo(m); + return m; + } + + inline void GpuMat::assignTo(GpuMat& m, int _type) const + { + if (_type < 0) + m = *this; + else + convertTo(m, _type); + } + + inline size_t GpuMat::step1() const + { + return step / elemSize1(); + } + + inline bool GpuMat::empty() const + { + return data == 0; + } + + 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); + } + + inline void swap(GpuMat& a, GpuMat& b) + { + a.swap(b); + } + + 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 void GpuMat::create(Size size_, int type_) + { + create(size_.height, size_.width, type_); + } + + 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 GpuMat::size() const + { + return Size(cols, rows); + } + + 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; + } + + inline GpuMat& GpuMat::operator = (Scalar s) + { + setTo(s); + return *this; + } + + /** @cond IGNORED */ + 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); + } + + template <class T> inline GpuMat::operator DevMem2D_<T>() const + { + return DevMem2D_<T>(rows, cols, (T*)data, step); + } + + template <class T> inline GpuMat::operator PtrStep_<T>() const + { + return PtrStep_<T>(static_cast< DevMem2D_<T> >(*this)); + } + /** @endcond */ + + inline GpuMat createContinuous(int rows, int cols, int type) + { + GpuMat m; + createContinuous(rows, cols, type, m); + return m; + } + + inline void createContinuous(Size size, int type, GpuMat& m) + { + createContinuous(size.height, size.width, type, m); + } + + inline GpuMat createContinuous(Size size, int type) + { + GpuMat m; + createContinuous(size, type, m); + return m; + } + + inline void ensureSizeIsEnough(Size size, int type, GpuMat& m) + { + ensureSizeIsEnough(size.height, size.width, type, m); + } +}} + +#endif // __cplusplus + +#endif // __OPENCV_GPUMAT_HPP__ |