Merge branch '2.4'
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@@ -134,20 +134,29 @@ namespace cv
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//////////////////////////////// OpenCL context ////////////////////////
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//This is a global singleton class used to represent a OpenCL context.
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class Context
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class CV_EXPORTS Context
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{
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protected:
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Context();
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friend class std::auto_ptr<Context>;
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static std::auto_ptr<Context> clCxt;
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private:
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static std::auto_ptr<Context> clCxt;
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static int val;
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public:
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~Context();
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static int val;
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void release();
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Info::Impl* impl;
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static Context *getContext();
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static void setContext(Info &oclinfo);
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struct Impl;
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Impl *impl;
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enum {CL_DOUBLE, CL_UNIFIED_MEM};
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bool supportsFeature(int ftype);
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size_t computeUnits();
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size_t maxWorkGroupSize();
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void* oclContext();
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void* oclCommandQueue();
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};
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//! Calls a kernel, by string. Pass globalThreads = NULL, and cleanUp = true, to finally clean-up without executing.
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@@ -1088,156 +1097,6 @@ namespace cv
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};
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//! Speeded up robust features, port from GPU module.
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////////////////////////////////// SURF //////////////////////////////////////////
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class CV_EXPORTS SURF_OCL
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{
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public:
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enum KeypointLayout
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{
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X_ROW = 0,
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Y_ROW,
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LAPLACIAN_ROW,
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OCTAVE_ROW,
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SIZE_ROW,
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ANGLE_ROW,
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HESSIAN_ROW,
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ROWS_COUNT
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};
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//! the default constructor
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SURF_OCL();
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//! the full constructor taking all the necessary parameters
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explicit SURF_OCL(double _hessianThreshold, int _nOctaves = 4,
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int _nOctaveLayers = 2, bool _extended = false, float _keypointsRatio = 0.01f, bool _upright = false);
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//! returns the descriptor size in float's (64 or 128)
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int descriptorSize() const;
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//! upload host keypoints to device memory
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void uploadKeypoints(const std::vector<cv::KeyPoint> &keypoints, oclMat &keypointsocl);
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//! download keypoints from device to host memory
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void downloadKeypoints(const oclMat &keypointsocl, std::vector<KeyPoint> &keypoints);
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//! download descriptors from device to host memory
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void downloadDescriptors(const oclMat &descriptorsocl, std::vector<float> &descriptors);
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//! finds the keypoints using fast hessian detector used in SURF
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//! supports CV_8UC1 images
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//! keypoints will have nFeature cols and 6 rows
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//! keypoints.ptr<float>(X_ROW)[i] will contain x coordinate of i'th feature
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//! keypoints.ptr<float>(Y_ROW)[i] will contain y coordinate of i'th feature
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//! keypoints.ptr<float>(LAPLACIAN_ROW)[i] will contain laplacian sign of i'th feature
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//! keypoints.ptr<float>(OCTAVE_ROW)[i] will contain octave of i'th feature
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//! keypoints.ptr<float>(SIZE_ROW)[i] will contain size of i'th feature
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//! keypoints.ptr<float>(ANGLE_ROW)[i] will contain orientation of i'th feature
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//! keypoints.ptr<float>(HESSIAN_ROW)[i] will contain response of i'th feature
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void operator()(const oclMat &img, const oclMat &mask, oclMat &keypoints);
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//! finds the keypoints and computes their descriptors.
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//! Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction
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void operator()(const oclMat &img, const oclMat &mask, oclMat &keypoints, oclMat &descriptors,
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bool useProvidedKeypoints = false);
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void operator()(const oclMat &img, const oclMat &mask, std::vector<KeyPoint> &keypoints);
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void operator()(const oclMat &img, const oclMat &mask, std::vector<KeyPoint> &keypoints, oclMat &descriptors,
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bool useProvidedKeypoints = false);
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void operator()(const oclMat &img, const oclMat &mask, std::vector<KeyPoint> &keypoints, std::vector<float> &descriptors,
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bool useProvidedKeypoints = false);
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void releaseMemory();
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// SURF parameters
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float hessianThreshold;
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int nOctaves;
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int nOctaveLayers;
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bool extended;
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bool upright;
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//! max keypoints = min(keypointsRatio * img.size().area(), 65535)
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float keypointsRatio;
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oclMat sum, mask1, maskSum, intBuffer;
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oclMat det, trace;
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oclMat maxPosBuffer;
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};
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////////////////////////feature2d_ocl/////////////////
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/****************************************************************************************\
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* Distance *
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@@ -1821,6 +1680,40 @@ namespace cv
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//! computes moments of the rasterized shape or a vector of points
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CV_EXPORTS Moments ocl_moments(InputArray _array, bool binaryImage);
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class CV_EXPORTS StereoBM_OCL
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{
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public:
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enum { BASIC_PRESET = 0, PREFILTER_XSOBEL = 1 };
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enum { DEFAULT_NDISP = 64, DEFAULT_WINSZ = 19 };
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//! the default constructor
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StereoBM_OCL();
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//! the full constructor taking the camera-specific preset, number of disparities and the SAD window size. ndisparities must be multiple of 8.
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StereoBM_OCL(int preset, int ndisparities = DEFAULT_NDISP, int winSize = DEFAULT_WINSZ);
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//! the stereo correspondence operator. Finds the disparity for the specified rectified stereo pair
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//! Output disparity has CV_8U type.
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void operator() ( const oclMat &left, const oclMat &right, oclMat &disparity);
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//! Some heuristics that tries to estmate
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// if current GPU will be faster then CPU in this algorithm.
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// It queries current active device.
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static bool checkIfGpuCallReasonable();
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int preset;
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int ndisp;
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int winSize;
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// If avergeTexThreshold == 0 => post procesing is disabled
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// If avergeTexThreshold != 0 then disparity is set 0 in each point (x,y) where for left image
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// SumOfHorizontalGradiensInWindow(x, y, winSize) < (winSize * winSize) * avergeTexThreshold
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// i.e. input left image is low textured.
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float avergeTexThreshold;
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private:
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oclMat minSSD, leBuf, riBuf;
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};
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}
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}
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#if defined _MSC_VER && _MSC_VER >= 1200
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