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opencv/modules/ocl/include/opencv2/ocl/ocl.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) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, 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 oclMaterials 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_GPU_HPP__
#define __OPENCV_GPU_HPP__
#include <memory>
#include <vector>
#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/features2d/features2d.hpp"
namespace cv
{
namespace ocl
{
using std::auto_ptr;
#define CVCL_DEVICE_TYPE_DEFAULT (1 << 0)
#define CVCL_DEVICE_TYPE_CPU (1 << 1)
#define CVCL_DEVICE_TYPE_GPU (1 << 2)
#define CVCL_DEVICE_TYPE_ACCELERATOR (1 << 3)
//#define CVCL_DEVICE_TYPE_CUSTOM (1 << 4)
#define CVCL_DEVICE_TYPE_ALL 0xFFFFFFFF
//this class contains ocl runtime information
class CV_EXPORTS Info
{
public:
struct Impl;
Impl *impl;
Info();
Info(const Info &m);
~Info();
void release();
Info &operator = (const Info &m);
};
//////////////////////////////// Initialization & Info ////////////////////////
//this function may be obsoleted
//CV_EXPORTS cl_device_id getDevice();
//the function must be called before any other cv::ocl::functions, it initialize ocl runtime
CV_EXPORTS int getDevice(std::vector<Info>& oclinfo, int devicetype = CVCL_DEVICE_TYPE_GPU);
//set device you want to use, optional function after getDevice be called
CV_EXPORTS void setDevice(Info &oclinfo, int devnum = 0);
//this function is not ready yet
//CV_EXPORTS void getComputeCapability(cl_device_id device, int &major, int &minor);
//optional function, if you want save opencl binary kernel to the file, set its path
CV_EXPORTS void setBinpath(const char *path);
//////////////////////////////// Error handling ////////////////////////
CV_EXPORTS void error(const char *error_string, const char *file, const int line, const char *func);
//////////////////////////////// OpenCL context ////////////////////////
//This is a global singleton class used to represent a OpenCL context.
class Context
{
protected:
Context();
friend class auto_ptr<Context>;
static auto_ptr<Context> clCxt;
public:
~Context();
static int val;
static Context *getContext();
static void setContext(Info &oclinfo);
struct Impl;
Impl *impl;
};
//////////////////////////////// oclMat ////////////////////////////////
class CV_EXPORTS oclMat
{
public:
//! default constructor
oclMat();
//! constructs oclMatrix of the specified size and type (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
oclMat(int rows, int cols, int type);
oclMat(Size size, int type);
//! constucts oclMatrix and fills it with the specified value _s.
oclMat(int rows, int cols, int type, const Scalar &s);
oclMat(Size size, int type, const Scalar &s);
//! copy constructor
oclMat(const oclMat &m);
//! constructor for oclMatrix headers pointing to user-allocated data
oclMat(int rows, int cols, int type, void *data, size_t step = Mat::AUTO_STEP);
oclMat(Size size, int type, void *data, size_t step = Mat::AUTO_STEP);
//! creates a matrix header for a part of the bigger matrix
oclMat(const oclMat &m, const Range &rowRange, const Range &colRange);
oclMat(const oclMat &m, const Rect &roi);
//! builds oclMat from Mat. Perfom blocking upload to device.
explicit oclMat (const Mat &m);
//! destructor - calls release()
~oclMat();
//! assignment operators
oclMat &operator = (const oclMat &m);
//! assignment operator. Perfom blocking upload to device.
oclMat &operator = (const Mat &m);
/* Fixme! To be supported in OpenCL later. */
#if 0
//! returns lightweight DevMem2D_ structure for passing to nvcc-compiled code.
// Contains just image size, data ptr and step.
template <class T> operator DevMem2D_<T>() const;
template <class T> operator PtrStep_<T>() const;
#endif
//! pefroms blocking upload data to oclMat.
void upload(const cv::Mat &m);
/* Fixme! To be supported in OpenCL later. */
#if 0
//! upload async
void upload(const CudaMem &m, Stream &stream);
#endif
//! downloads data from device to host memory. Blocking calls.
operator Mat() const;
void download(cv::Mat &m) const;
/* Fixme! To be supported in OpenCL later. */
#if 0
//! download async
void download(CudaMem &m, Stream &stream) const;
#endif
//! returns a new oclMatrix header for the specified row
oclMat row(int y) const;
//! returns a new oclMatrix header for the specified column
oclMat col(int x) const;
//! ... for the specified row span
oclMat rowRange(int startrow, int endrow) const;
oclMat rowRange(const Range &r) const;
//! ... for the specified column span
oclMat colRange(int startcol, int endcol) const;
oclMat colRange(const Range &r) const;
//! returns deep copy of the oclMatrix, i.e. the data is copied
oclMat clone() const;
//! copies the oclMatrix content to "m".
// It calls m.create(this->size(), this->type()).
// It supports any data type
void copyTo( oclMat &m ) const;
//! copies those oclMatrix elements to "m" that are marked with non-zero mask elements.
//It supports 8UC1 8UC4 32SC1 32SC4 32FC1 32FC4
void copyTo( oclMat &m, const oclMat &mask ) const;
//! converts oclMatrix to another datatype with optional scalng. See cvConvertScale.
//It supports 8UC1 8UC4 32SC1 32SC4 32FC1 32FC4
void convertTo( oclMat &m, int rtype, double alpha = 1, double beta = 0 ) const;
void assignTo( oclMat &m, int type = -1 ) const;
//! sets every oclMatrix element to s
//It supports 8UC1 8UC4 32SC1 32SC4 32FC1 32FC4
oclMat &operator = (const Scalar &s);
//! sets some of the oclMatrix elements to s, according to the mask
//It supports 8UC1 8UC4 32SC1 32SC4 32FC1 32FC4
oclMat &setTo(const Scalar &s, const oclMat &mask = oclMat());
//! creates alternative oclMatrix header for the same data, with different
// number of channels and/or different number of rows. see cvReshape.
oclMat reshape(int cn, int rows = 0) const;
//! allocates new oclMatrix data unless the oclMatrix 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(oclMat &mat);
//! locates oclMatrix header within a parent oclMatrix. See below
void locateROI( Size &wholeSize, Point &ofs ) const;
//! moves/resizes the current oclMatrix ROI inside the parent oclMatrix.
oclMat &adjustROI( int dtop, int dbottom, int dleft, int dright );
//! extracts a rectangular sub-oclMatrix
// (this is a generalized form of row, rowRange etc.)
oclMat operator()( Range rowRange, Range colRange ) const;
oclMat operator()( const Rect &roi ) const;
//! returns true if the oclMatrix data is continuous
// (i.e. when there are no gaps between successive rows).
// similar to CV_IS_oclMat_CONT(cvoclMat->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 oclMatrix size:
// width == number of columns, height == number of rows
Size size() const;
//! returns true if oclMatrix 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;
//! matrix transposition
oclMat t() const;
/*! 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(OCL memory object)
uchar *data;
//! pointer to the reference counter;
// when oclMatrix points to user-allocated data, the pointer is NULL
int *refcount;
//! helper fields used in locateROI and adjustROI
//datastart and dataend are not used in current version
uchar *datastart;
uchar *dataend;
//! OpenCL context associated with the oclMat object.
Context *clCxt;
//add offset for handle ROI, calculated in byte
int offset;
//add wholerows and wholecols for the whole matrix, datastart and dataend are no longer used
int wholerows;
int wholecols;
//add download_channels for 3 channels to 4 channels
int download_channels;
};
///////////////////// mat split and merge /////////////////////////////////
//! Compose a multi-channel array from several single-channel arrays
// Support all types
CV_EXPORTS void merge(const oclMat *src, size_t n, oclMat &dst);
CV_EXPORTS void merge(const vector<oclMat> &src, oclMat &dst);
//! Divides multi-channel array into several single-channel arrays
// Support all types
CV_EXPORTS void split(const oclMat &src, oclMat *dst);
CV_EXPORTS void split(const oclMat &src, vector<oclMat> &dst);
////////////////////////////// Arithmetics ///////////////////////////////////
//#if defined DOUBLE_SUPPORT
//typedef double F;
//#else
//typedef float F;
//#endif
// CV_EXPORTS void addWeighted(const oclMat& a,F alpha, const oclMat& b,F beta,F gama, oclMat& c);
CV_EXPORTS void addWeighted(const oclMat &a, double alpha, const oclMat &b, double beta, double gama, oclMat &c);
//! adds one matrix to another (c = a + b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void add(const oclMat &a, const oclMat &b, oclMat &c);
//! adds one matrix to another (c = a + b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void add(const oclMat &a, const oclMat &b, oclMat &c, const oclMat &mask);
//! adds scalar to a matrix (c = a + s)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void add(const oclMat &a, const Scalar &sc, oclMat &c, const oclMat &mask = oclMat());
//! subtracts one matrix from another (c = a - b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void subtract(const oclMat &a, const oclMat &b, oclMat &c);
//! subtracts one matrix from another (c = a - b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void subtract(const oclMat &a, const oclMat &b, oclMat &c, const oclMat &mask);
//! subtracts scalar from a matrix (c = a - s)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void subtract(const oclMat &a, const Scalar &sc, oclMat &c, const oclMat &mask = oclMat());
//! subtracts scalar from a matrix (c = a - s)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void subtract(const Scalar &sc, const oclMat &a, oclMat &c, const oclMat &mask = oclMat());
//! computes element-wise product of the two arrays (c = a * b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void multiply(const oclMat &a, const oclMat &b, oclMat &c, double scale = 1);
//! computes element-wise quotient of the two arrays (c = a / b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void divide(const oclMat &a, const oclMat &b, oclMat &c, double scale = 1);
//! computes element-wise quotient of the two arrays (c = a / b)
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void divide(double scale, const oclMat &b, oclMat &c);
//! compares elements of two arrays (c = a <cmpop> b)
// supports except CV_8SC1,CV_8SC2,CV8SC3,CV_8SC4 types
CV_EXPORTS void compare(const oclMat &a, const oclMat &b, oclMat &c, int cmpop);
//! transposes the matrix
// supports CV_8UC1, 8UC4, 8SC4, 16UC2, 16SC2, 32SC1 and 32FC1.(the same as cuda)
CV_EXPORTS void transpose(const oclMat &src1, oclMat &dst);
//! computes element-wise absolute difference of two arrays (c = abs(a - b))
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void absdiff(const oclMat &a, const oclMat &b, oclMat &c);
//! computes element-wise absolute difference of array and scalar (c = abs(a - s))
// supports all types except CV_8SC1,CV_8SC2,CV8SC3 and CV_8SC4
CV_EXPORTS void absdiff(const oclMat &a, const Scalar &s, oclMat &c);
//! computes mean value and standard deviation of all or selected array elements
// supports except CV_32F,CV_64F
CV_EXPORTS void meanStdDev(const oclMat &mtx, Scalar &mean, Scalar &stddev);
//! computes norm of array
// supports NORM_INF, NORM_L1, NORM_L2
// supports only CV_8UC1 type
CV_EXPORTS double norm(const oclMat &src1, int normType = NORM_L2);
//! computes norm of the difference between two arrays
// supports NORM_INF, NORM_L1, NORM_L2
// supports only CV_8UC1 type
CV_EXPORTS double norm(const oclMat &src1, const oclMat &src2, int normType = NORM_L2);
//! reverses the order of the rows, columns or both in a matrix
// supports all types
CV_EXPORTS void flip(const oclMat &a, oclMat &b, int flipCode);
//! computes sum of array elements
// disabled until fix crash
// support all types
CV_EXPORTS Scalar sum(const oclMat &m);
//! finds global minimum and maximum array elements and returns their values
// support all types
CV_EXPORTS void minMax(const oclMat &src, double *minVal, double *maxVal = 0, const oclMat &mask = oclMat());
//! finds global minimum and maximum array elements and returns their values with locations
// support all types
CV_EXPORTS void minMaxLoc(const oclMat &src, double *minVal, double *maxVal = 0, Point *minLoc = 0, Point *maxLoc = 0,
const oclMat &mask = oclMat());
//! counts non-zero array elements
// support all types
CV_EXPORTS int countNonZero(const oclMat &src);
//! transforms 8-bit unsigned integers using lookup table: dst(i)=lut(src(i))
// destination array will have the depth type as lut and the same channels number as source
//It supports 8UC1 8UC4 only
CV_EXPORTS void LUT(const oclMat &src, const oclMat &lut, oclMat &dst);
//! only 8UC1 and 256 bins is supported now
CV_EXPORTS void calcHist(const oclMat &mat_src, oclMat &mat_hist);
//! only 8UC1 and 256 bins is supported now
CV_EXPORTS void equalizeHist(const oclMat &mat_src, oclMat &mat_dst);
//! bilateralFilter
// supports 8UC1 8UC4
CV_EXPORTS void bilateralFilter(const oclMat &, oclMat &, int , double, double, int);
//! computes exponent of each matrix element (b = e**a)
// supports only CV_32FC1 type
CV_EXPORTS void exp(const oclMat &a, oclMat &b);
//! computes natural logarithm of absolute value of each matrix element: b = log(abs(a))
// supports only CV_32FC1 type
CV_EXPORTS void log(const oclMat &a, oclMat &b);
//! computes magnitude of each (x(i), y(i)) vector
// supports only CV_32F CV_64F type
CV_EXPORTS void magnitude(const oclMat &x, const oclMat &y, oclMat &magnitude);
CV_EXPORTS void magnitudeSqr(const oclMat &x, const oclMat &y, oclMat &magnitude);
CV_EXPORTS void magnitudeSqr(const oclMat &x, oclMat &magnitude);
//! computes angle (angle(i)) of each (x(i), y(i)) vector
// supports only CV_32F CV_64F type
CV_EXPORTS void phase(const oclMat &x, const oclMat &y, oclMat &angle, bool angleInDegrees = false);
//! the function raises every element of tne input array to p
//! support only CV_32F CV_64F type
CV_EXPORTS void pow(const oclMat &x, double p, oclMat &y);
//! converts Cartesian coordinates to polar
// supports only CV_32F CV_64F type
CV_EXPORTS void cartToPolar(const oclMat &x, const oclMat &y, oclMat &magnitude, oclMat &angle, bool angleInDegrees = false);
//! converts polar coordinates to Cartesian
// supports only CV_32F CV_64F type
CV_EXPORTS void polarToCart(const oclMat &magnitude, const oclMat &angle, oclMat &x, oclMat &y, bool angleInDegrees = false);
//! perfroms per-elements bit-wise inversion
// supports all types
CV_EXPORTS void bitwise_not(const oclMat &src, oclMat &dst);
//! calculates per-element bit-wise disjunction of two arrays
// supports all types
CV_EXPORTS void bitwise_or(const oclMat &src1, const oclMat &src2, oclMat &dst, const oclMat &mask = oclMat());
CV_EXPORTS void bitwise_or(const oclMat &src1, const Scalar &s, oclMat &dst, const oclMat &mask = oclMat());
//! calculates per-element bit-wise conjunction of two arrays
// supports all types
CV_EXPORTS void bitwise_and(const oclMat &src1, const oclMat &src2, oclMat &dst, const oclMat &mask = oclMat());
CV_EXPORTS void bitwise_and(const oclMat &src1, const Scalar &s, oclMat &dst, const oclMat &mask = oclMat());
//! calculates per-element bit-wise "exclusive or" operation
// supports all types
CV_EXPORTS void bitwise_xor(const oclMat &src1, const oclMat &src2, oclMat &dst, const oclMat &mask = oclMat());
CV_EXPORTS void bitwise_xor(const oclMat &src1, const Scalar &s, oclMat &dst, const oclMat &mask = oclMat());
//! Logical operators
CV_EXPORTS oclMat operator ~ (const oclMat &src);
CV_EXPORTS oclMat operator | (const oclMat &src1, const oclMat &src2);
CV_EXPORTS oclMat operator & (const oclMat &src1, const oclMat &src2);
CV_EXPORTS oclMat operator ^ (const oclMat &src1, const oclMat &src2);
CV_EXPORTS void cvtColor(const oclMat &src, oclMat &dst, int code , int dcn = 0);
//////////////////////////////// Filter Engine ////////////////////////////////
/*!
The Base Class for 1D or Row-wise Filters
This is the base class for linear or non-linear filters that process 1D data.
In particular, such filters are used for the "horizontal" filtering parts in separable filters.
*/
class CV_EXPORTS BaseRowFilter_GPU
{
public:
BaseRowFilter_GPU(int ksize_, int anchor_, int bordertype_) : ksize(ksize_), anchor(anchor_), bordertype(bordertype_) {}
virtual ~BaseRowFilter_GPU() {}
virtual void operator()(const oclMat &src, oclMat &dst) = 0;
int ksize, anchor, bordertype;
};
/*!
The Base Class for Column-wise Filters
This is the base class for linear or non-linear filters that process columns of 2D arrays.
Such filters are used for the "vertical" filtering parts in separable filters.
*/
class CV_EXPORTS BaseColumnFilter_GPU
{
public:
BaseColumnFilter_GPU(int ksize_, int anchor_, int bordertype_) : ksize(ksize_), anchor(anchor_), bordertype(bordertype_) {}
virtual ~BaseColumnFilter_GPU() {}
virtual void operator()(const oclMat &src, oclMat &dst) = 0;
int ksize, anchor, bordertype;
};
/*!
The Base Class for Non-Separable 2D Filters.
This is the base class for linear or non-linear 2D filters.
*/
class CV_EXPORTS BaseFilter_GPU
{
public:
BaseFilter_GPU(const Size &ksize_, const Point &anchor_, const int &borderType_)
: ksize(ksize_), anchor(anchor_), borderType(borderType_) {}
virtual ~BaseFilter_GPU() {}
virtual void operator()(const oclMat &src, oclMat &dst) = 0;
Size ksize;
Point anchor;
int borderType;
};
/*!
The Base Class for Filter Engine.
The class can be used to apply an arbitrary filtering operation to an image.
It contains all the necessary intermediate buffers.
*/
class CV_EXPORTS FilterEngine_GPU
{
public:
virtual ~FilterEngine_GPU() {}
virtual void apply(const oclMat &src, oclMat &dst, Rect roi = Rect(0, 0, -1, -1)) = 0;
};
//! returns the non-separable filter engine with the specified filter
CV_EXPORTS Ptr<FilterEngine_GPU> createFilter2D_GPU(const Ptr<BaseFilter_GPU> filter2D);
//! returns the primitive row filter with the specified kernel
CV_EXPORTS Ptr<BaseRowFilter_GPU> getLinearRowFilter_GPU(int srcType, int bufType, const Mat &rowKernel,
int anchor = -1, int bordertype = BORDER_DEFAULT);
//! returns the primitive column filter with the specified kernel
CV_EXPORTS Ptr<BaseColumnFilter_GPU> getLinearColumnFilter_GPU(int bufType, int dstType, const Mat &columnKernel,
int anchor = -1, int bordertype = BORDER_DEFAULT, double delta = 0.0);
//! returns the separable linear filter engine
CV_EXPORTS Ptr<FilterEngine_GPU> createSeparableLinearFilter_GPU(int srcType, int dstType, const Mat &rowKernel,
const Mat &columnKernel, const Point &anchor = Point(-1, -1), double delta = 0.0, int bordertype = BORDER_DEFAULT);
//! returns the separable filter engine with the specified filters
CV_EXPORTS Ptr<FilterEngine_GPU> createSeparableFilter_GPU(const Ptr<BaseRowFilter_GPU>& rowFilter,
const Ptr<BaseColumnFilter_GPU>& columnFilter);
//! returns the Gaussian filter engine
CV_EXPORTS Ptr<FilterEngine_GPU> createGaussianFilter_GPU(int type, Size ksize, double sigma1, double sigma2 = 0, int bordertype = BORDER_DEFAULT);
//! returns filter engine for the generalized Sobel operator
CV_EXPORTS Ptr<FilterEngine_GPU> createDerivFilter_GPU( int srcType, int dstType, int dx, int dy, int ksize, int borderType=BORDER_DEFAULT );
//! applies Laplacian operator to the image
// supports only ksize = 1 and ksize = 3 8UC1 8UC4 32FC1 32FC4 data type
CV_EXPORTS void Laplacian(const oclMat &src, oclMat &dst, int ddepth, int ksize = 1, double scale = 1);
//! returns 2D box filter
// supports CV_8UC1 and CV_8UC4 source type, dst type must be the same as source type
CV_EXPORTS Ptr<BaseFilter_GPU> getBoxFilter_GPU(int srcType, int dstType,
const Size &ksize, Point anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);
//! returns box filter engine
CV_EXPORTS Ptr<FilterEngine_GPU> createBoxFilter_GPU(int srcType, int dstType, const Size &ksize,
const Point &anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);
//! returns 2D filter with the specified kernel
// supports CV_8UC1 and CV_8UC4 types
CV_EXPORTS Ptr<BaseFilter_GPU> getLinearFilter_GPU(int srcType, int dstType, const Mat &kernel, const Size &ksize,
Point anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);
//! returns the non-separable linear filter engine
CV_EXPORTS Ptr<FilterEngine_GPU> createLinearFilter_GPU(int srcType, int dstType, const Mat &kernel,
const Point &anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);
//! smooths the image using the normalized box filter
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
// supports border type: BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT,BORDER_REFLECT_101,BORDER_WRAP
CV_EXPORTS void boxFilter(const oclMat &src, oclMat &dst, int ddepth, Size ksize,
Point anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);
//! returns 2D morphological filter
//! only MORPH_ERODE and MORPH_DILATE are supported
// supports CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4 types
// kernel must have CV_8UC1 type, one rows and cols == ksize.width * ksize.height
CV_EXPORTS Ptr<BaseFilter_GPU> getMorphologyFilter_GPU(int op, int type, const Mat &kernel, const Size &ksize,
Point anchor = Point(-1, -1));
//! returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported.
CV_EXPORTS Ptr<FilterEngine_GPU> createMorphologyFilter_GPU(int op, int type, const Mat &kernel,
const Point &anchor = Point(-1, -1), int iterations = 1);
//! a synonym for normalized box filter
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
// supports border type: BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT,BORDER_REFLECT_101
static inline void blur(const oclMat &src, oclMat &dst, Size ksize, Point anchor = Point(-1, -1),
int borderType = BORDER_CONSTANT)
{
boxFilter(src, dst, -1, ksize, anchor, borderType);
}
//! applies non-separable 2D linear filter to the image
CV_EXPORTS void filter2D(const oclMat &src, oclMat &dst, int ddepth, const Mat &kernel,
Point anchor = Point(-1, -1), int borderType = BORDER_DEFAULT);
//! applies separable 2D linear filter to the image
CV_EXPORTS void sepFilter2D(const oclMat &src, oclMat &dst, int ddepth, const Mat &kernelX, const Mat &kernelY,
Point anchor = Point(-1, -1), double delta = 0.0, int bordertype = BORDER_DEFAULT);
//! applies generalized Sobel operator to the image
// dst.type must equalize src.type
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
// supports border type: BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT,BORDER_REFLECT_101
CV_EXPORTS void Sobel(const oclMat &src, oclMat &dst, int ddepth, int dx, int dy, int ksize = 3, double scale = 1, double delta = 0.0, int bordertype = BORDER_DEFAULT);
//! applies the vertical or horizontal Scharr operator to the image
// dst.type must equalize src.type
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
// supports border type: BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT,BORDER_REFLECT_101
CV_EXPORTS void Scharr(const oclMat &src, oclMat &dst, int ddepth, int dx, int dy, double scale = 1, double delta = 0.0, int bordertype = BORDER_DEFAULT);
//! smooths the image using Gaussian filter.
// dst.type must equalize src.type
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
// supports border type: BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT,BORDER_REFLECT_101
CV_EXPORTS void GaussianBlur(const oclMat &src, oclMat &dst, Size ksize, double sigma1, double sigma2 = 0, int bordertype = BORDER_DEFAULT);
//! erodes the image (applies the local minimum operator)
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
CV_EXPORTS void erode( const oclMat &src, oclMat &dst, const Mat &kernel, Point anchor = Point(-1, -1), int iterations = 1);
//! dilates the image (applies the local maximum operator)
// supports data type: CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4
CV_EXPORTS void dilate( const oclMat &src, oclMat &dst, const Mat &kernel, Point anchor = Point(-1, -1), int iterations = 1);
//! applies an advanced morphological operation to the image
CV_EXPORTS void morphologyEx( const oclMat &src, oclMat &dst, int op, const Mat &kernel, Point anchor = Point(-1, -1), int iterations = 1);
////////////////////////////// Image processing //////////////////////////////
//! Does mean shift filtering on GPU.
CV_EXPORTS void meanShiftFiltering(const oclMat &src, oclMat &dst, int sp, int sr,
TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1));
//! Does mean shift procedure on GPU.
CV_EXPORTS void meanShiftProc(const oclMat &src, oclMat &dstr, oclMat &dstsp, int sp, int sr,
TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1));
//! Does mean shift segmentation with elimiation of small regions.
CV_EXPORTS void meanShiftSegmentation(const oclMat &src, Mat &dst, int sp, int sr, int minsize,
TermCriteria criteria = TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 5, 1));
//! applies fixed threshold to the image.
// supports CV_8UC1 and CV_32FC1 data type
// supports threshold type: THRESH_BINARY, THRESH_BINARY_INV, THRESH_TRUNC, THRESH_TOZERO, THRESH_TOZERO_INV
CV_EXPORTS double threshold(const oclMat &src, oclMat &dst, double thresh, double maxVal, int type = THRESH_TRUNC);
//! resizes the image
// Supports INTER_NEAREST, INTER_LINEAR
// supports CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4 types
CV_EXPORTS void resize(const oclMat &src, oclMat &dst, Size dsize, double fx = 0, double fy = 0, int interpolation = INTER_LINEAR);
//! Applies a generic geometrical transformation to an image.
// Supports INTER_NEAREST, INTER_LINEAR.
// Map1 supports CV_16SC2, CV_32FC2 types.
// Src supports CV_8UC1, CV_8UC2, CV_8UC4.
CV_EXPORTS void remap(const oclMat& src, oclMat& dst, oclMat& map1, oclMat& map2, int interpolation, int bordertype, const Scalar& value = Scalar());
//! copies 2D array to a larger destination array and pads borders with user-specifiable constant
// supports CV_8UC1, CV_8UC4, CV_32SC1 types
CV_EXPORTS void copyMakeBorder(const oclMat &src, oclMat &dst, int top, int bottom, int left, int right, int boardtype, const Scalar &value = Scalar());
//! Smoothes image using median filter
// The source 1- or 4-channel image. When m is 3 or 5, the image depth should be CV 8U or CV 32F.
CV_EXPORTS void medianFilter(const oclMat &src, oclMat &dst, int m);
//! warps the image using affine transformation
// Supports INTER_NEAREST, INTER_LINEAR, INTER_CUBIC
// supports CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4 types
CV_EXPORTS void warpAffine(const oclMat &src, oclMat &dst, const Mat &M, Size dsize, int flags = INTER_LINEAR);
//! warps the image using perspective transformation
// Supports INTER_NEAREST, INTER_LINEAR, INTER_CUBIC
// supports CV_8UC1, CV_8UC4, CV_32FC1 and CV_32FC4 types
CV_EXPORTS void warpPerspective(const oclMat &src, oclMat &dst, const Mat &M, Size dsize, int flags = INTER_LINEAR);
//! computes the integral image and integral for the squared image
// sum will have CV_32S type, sqsum - CV32F type
// supports only CV_8UC1 source type
CV_EXPORTS void integral(const oclMat &src, oclMat &sum, oclMat &sqsum);
CV_EXPORTS void integral(const oclMat &src, oclMat &sum);
CV_EXPORTS void cornerHarris(const oclMat &src, oclMat &dst, int blockSize, int ksize, double k, int bordertype = cv::BORDER_DEFAULT);
CV_EXPORTS void cornerMinEigenVal(const oclMat &src, oclMat &dst, int blockSize, int ksize, int bordertype = cv::BORDER_DEFAULT);
//////////////////////////////// StereoBM_GPU ////////////////////////////////
class CV_EXPORTS StereoBM_GPU
{
public:
enum { BASIC_PRESET = 0, PREFILTER_XSOBEL = 1 };
enum { DEFAULT_NDISP = 64, DEFAULT_WINSZ = 19 };
//! the default constructor
StereoBM_GPU();
//! the full constructor taking the camera-specific preset, number of disparities and the SAD window size. ndisparities must be multiple of 8.
StereoBM_GPU(int preset, int ndisparities = DEFAULT_NDISP, int winSize = DEFAULT_WINSZ);
//! the stereo correspondence operator. Finds the disparity for the specified rectified stereo pair
//! Output disparity has CV_8U type.
void operator() ( const oclMat &left, const oclMat &right, oclMat &disparity);
//! Some heuristics that tries to estmate
// if current GPU will be faster then CPU in this algorithm.
// It queries current active device.
static bool checkIfGpuCallReasonable();
int preset;
int ndisp;
int winSize;
// If avergeTexThreshold == 0 => post procesing is disabled
// If avergeTexThreshold != 0 then disparity is set 0 in each point (x,y) where for left image
// SumOfHorizontalGradiensInWindow(x, y, winSize) < (winSize * winSize) * avergeTexThreshold
// i.e. input left image is low textured.
float avergeTexThreshold;
private:
oclMat minSSD, leBuf, riBuf;
};
////////////////////////// StereoBeliefPropagation ///////////////////////////
// "Efficient Belief Propagation for Early Vision"
// P.Felzenszwalb
class CV_EXPORTS StereoBeliefPropagation
{
public:
enum { DEFAULT_NDISP = 64 };
enum { DEFAULT_ITERS = 5 };
enum { DEFAULT_LEVELS = 5 };
static void estimateRecommendedParams(int width, int height, int &ndisp, int &iters, int &levels);
//! the default constructor
explicit StereoBeliefPropagation(int ndisp = DEFAULT_NDISP,
int iters = DEFAULT_ITERS,
int levels = DEFAULT_LEVELS,
int msg_type = CV_16S);
//! the full constructor taking the number of disparities, number of BP iterations on each level,
//! number of levels, truncation of data cost, data weight,
//! truncation of discontinuity cost and discontinuity single jump
//! DataTerm = data_weight * min(fabs(I2-I1), max_data_term)
//! DiscTerm = min(disc_single_jump * fabs(f1-f2), max_disc_term)
//! please see paper for more details
StereoBeliefPropagation(int ndisp, int iters, int levels,
float max_data_term, float data_weight,
float max_disc_term, float disc_single_jump,
int msg_type = CV_32F);
//! the stereo correspondence operator. Finds the disparity for the specified rectified stereo pair,
//! if disparity is empty output type will be CV_16S else output type will be disparity.type().
void operator()(const oclMat &left, const oclMat &right, oclMat &disparity);
//! version for user specified data term
void operator()(const oclMat &data, oclMat &disparity);
int ndisp;
int iters;
int levels;
float max_data_term;
float data_weight;
float max_disc_term;
float disc_single_jump;
int msg_type;
private:
oclMat u, d, l, r, u2, d2, l2, r2;
std::vector<oclMat> datas;
oclMat out;
};
/////////////////////////// StereoConstantSpaceBP ///////////////////////////
// "A Constant-Space Belief Propagation Algorithm for Stereo Matching"
// Qingxiong Yang, Liang Wang<EFBFBD><EFBFBD>? Narendra Ahuja
// http://vision.ai.uiuc.edu/~qyang6/
class CV_EXPORTS StereoConstantSpaceBP
{
public:
enum { DEFAULT_NDISP = 128 };
enum { DEFAULT_ITERS = 8 };
enum { DEFAULT_LEVELS = 4 };
enum { DEFAULT_NR_PLANE = 4 };
static void estimateRecommendedParams(int width, int height, int &ndisp, int &iters, int &levels, int &nr_plane);
//! the default constructor
explicit StereoConstantSpaceBP(int ndisp = DEFAULT_NDISP,
int iters = DEFAULT_ITERS,
int levels = DEFAULT_LEVELS,
int nr_plane = DEFAULT_NR_PLANE,
int msg_type = CV_32F);
//! the full constructor taking the number of disparities, number of BP iterations on each level,
//! number of levels, number of active disparity on the first level, truncation of data cost, data weight,
//! truncation of discontinuity cost, discontinuity single jump and minimum disparity threshold
StereoConstantSpaceBP(int ndisp, int iters, int levels, int nr_plane,
float max_data_term, float data_weight, float max_disc_term, float disc_single_jump,
int min_disp_th = 0,
int msg_type = CV_32F);
//! the stereo correspondence operator. Finds the disparity for the specified rectified stereo pair,
//! if disparity is empty output type will be CV_16S else output type will be disparity.type().
void operator()(const oclMat &left, const oclMat &right, oclMat &disparity);
int ndisp;
int iters;
int levels;
int nr_plane;
float max_data_term;
float data_weight;
float max_disc_term;
float disc_single_jump;
int min_disp_th;
int msg_type;
bool use_local_init_data_cost;
private:
oclMat u[2], d[2], l[2], r[2];
oclMat disp_selected_pyr[2];
oclMat data_cost;
oclMat data_cost_selected;
oclMat temp;
oclMat out;
};
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
///////////////////////////////////////////CascadeClassifier//////////////////////////////////////////////////////////////////
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_EXPORTS_W OclCascadeClassifier : public cv::CascadeClassifier
{
public:
OclCascadeClassifier() {};
~OclCascadeClassifier() {};
CvSeq *oclHaarDetectObjects(oclMat &gimg, CvMemStorage *storage, double scaleFactor,
int minNeighbors, int flags, CvSize minSize = cvSize(0, 0), CvSize maxSize = cvSize(0, 0));
};
///////////////////////////////////////////////////////jhp_benchmark////////////////////////////////////////////////////
void benchmark_copy_vectorize(const oclMat &src, oclMat &dst);
void benchmark_copy_offset_stride(const oclMat &src, oclMat &dst);
void benchmark_ILP();
//! computes vertical sum, supports only CV_32FC1 images
CV_EXPORTS void columnSum(const oclMat& src, oclMat& sum);
//! performs linear blending of two images
//! to avoid accuracy errors sum of weigths shouldn't be very close to zero
// supports only CV_8UC1 source type
CV_EXPORTS void blendLinear(const oclMat& img1, const oclMat& img2, const oclMat& weights1, const oclMat& weights2, oclMat& result);
/////////////////////////////// Pyramid /////////////////////////////////////
CV_EXPORTS void pyrDown(const oclMat& src, oclMat& dst);
//! upsamples the source image and then smoothes it
CV_EXPORTS void pyrUp(const cv::ocl::oclMat& src,cv::ocl::oclMat& dst);
///////////////////////////////////////// match_template /////////////////////////////////////////////////////////////
struct CV_EXPORTS MatchTemplateBuf
{
Size user_block_size;
oclMat imagef, templf;
std::vector<oclMat> images;
std::vector<oclMat> image_sums;
std::vector<oclMat> image_sqsums;
};
//! computes the proximity map for the raster template and the image where the template is searched for
// Supports TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED for type 8UC1 and 8UC4
// Supports TM_SQDIFF, TM_CCORR for type 32FC1 and 32FC4
CV_EXPORTS void matchTemplate(const oclMat& image, const oclMat& templ, oclMat& result, int method);
//! computes the proximity map for the raster template and the image where the template is searched for
// Supports TM_SQDIFF, TM_SQDIFF_NORMED, TM_CCORR, TM_CCORR_NORMED, TM_CCOEFF, TM_CCOEFF_NORMED for type 8UC1 and 8UC4
// Supports TM_SQDIFF, TM_CCORR for type 32FC1 and 32FC4
CV_EXPORTS void matchTemplate(const oclMat& image, const oclMat& templ, oclMat& result, int method, MatchTemplateBuf& buf);
#ifdef HAVE_CLAMDFFT
///////////////////////////////////////// clAmdFft related /////////////////////////////////////////
// the two functions must be called before/after run any fft library functions.
CV_EXPORTS void fft_setup(); // this will be implicitly invoked
CV_EXPORTS void fft_teardown(); // you need to teardown fft library manually
/////////////////////////////////////// DFT /////////////////////////////////////////////////////
//! Performs a forward or inverse discrete Fourier transform (1D or 2D) of floating point matrix.
//! Param dft_size is the size of DFT transform.
//!
//! For complex-to-real transform it is assumed that the source matrix is packed in CLFFT's format.
// support src type of CV32FC1, CV32FC2
// support flags: DFT_INVERSE, DFT_REAL_OUTPUT, DFT_COMPLEX_OUTPUT, DFT_ROWS
// dft_size is the size of original input, which is used for transformation from complex to real.
// dft_size must be powers of 2, 3 and 5
// real to complex dft requires at least v1.8 clAmdFft
// real to complex dft output is not the same with cpu version
// real to complex and complex to real does not support DFT_ROWS
CV_EXPORTS void dft(const oclMat& src, oclMat& dst, Size dft_size = Size(0, 0), int flags = 0);
#endif // HAVE_CLAMDFFT
#ifdef HAVE_CLAMDBLAS
//! implements generalized matrix product algorithm GEMM from BLAS
// The functionality requires clAmdBlas library
// only support type CV_32FC1
// flag GEMM_3_T is not supported
CV_EXPORTS void gemm(const oclMat& src1, const oclMat& src2, double alpha,
const oclMat& src3, double beta, oclMat& dst, int flags = 0);
#endif
}
}
#include "opencv2/ocl/matrix_operations.hpp"
#endif /* __OPENCV_GPU_HPP__ */