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+// This file is part of OpenCV project.
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#ifndef __OPENCV_OCL_HPP__
#define __OPENCV_OCL_HPP__
const PlatformInfo* platform;
DeviceInfo();
+ ~DeviceInfo();
};
struct PlatformInfo
std::vector<const DeviceInfo*> devices;
PlatformInfo();
+ ~PlatformInfo();
};
//////////////////////////////// Initialization & Info ////////////////////////
// set device you want to use
CV_EXPORTS void setDevice(const DeviceInfo* info);
+ // Initialize from OpenCL handles directly.
+ // Argument types is (pointers): cl_platform_id*, cl_context*, cl_device_id*
+ CV_EXPORTS void initializeContext(void* pClPlatform, void* pClContext, void* pClDevice);
+
enum FEATURE_TYPE
{
FEATURE_CL_DOUBLE = 1,
void copyTo( oclMat &m, const oclMat &mask = oclMat()) 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.
//! 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;
CV_EXPORTS void bilateralFilter(const oclMat& src, oclMat& dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT);
//! Applies an adaptive bilateral filter to the input image
- // This is not truly a bilateral filter. Instead of using user provided fixed parameters,
- // the function calculates a constant at each window based on local standard deviation,
- // and use this constant to do filtering.
+ // Unlike the usual bilateral filter that uses fixed value for sigmaColor,
+ // the adaptive version calculates the local variance in he ksize neighborhood
+ // and use this as sigmaColor, for the value filtering. However, the local standard deviation is
+ // clamped to the maxSigmaColor.
// supports 8UC1, 8UC3
- CV_EXPORTS void adaptiveBilateralFilter(const oclMat& src, oclMat& dst, Size ksize, double sigmaSpace, Point anchor = Point(-1, -1), int borderType=BORDER_DEFAULT);
+ CV_EXPORTS void adaptiveBilateralFilter(const oclMat& src, oclMat& dst, Size ksize, double sigmaSpace, double maxSigmaColor=20.0, Point anchor = Point(-1, -1), int borderType=BORDER_DEFAULT);
//! computes exponent of each matrix element (dst = e**src)
// supports only CV_32FC1, CV_64FC1 type
// supports only CV_32FC1, CV_64FC1 type
CV_EXPORTS void log(const oclMat &src, oclMat &dst);
+ //! computes square root of each matrix element
+ // supports only CV_32FC1, CV_64FC1 type
+ CV_EXPORTS void sqrt(const oclMat &src, oclMat &dst);
+
//! 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);
//! initializes a scaled identity matrix
CV_EXPORTS void setIdentity(oclMat& src, const Scalar & val = Scalar(1));
+ //! fills the output array with repeated copies of the input array
+ CV_EXPORTS void repeat(const oclMat & src, int ny, int nx, oclMat & dst);
+
//////////////////////////////// Filter Engine ////////////////////////////////
/*!
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
+ // sum will support CV_32S, CV_32F, sqsum - support CV32F, CV_64F
// 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 integral(const oclMat &src, oclMat &sum, oclMat &sqsum, int sdepth=-1 );
+ CV_EXPORTS void integral(const oclMat &src, oclMat &sum, int sdepth=-1 );
CV_EXPORTS void cornerHarris(const oclMat &src, oclMat &dst, int blockSize, int ksize, double k, int bordertype = cv::BORDER_DEFAULT);
CV_EXPORTS void cornerHarris_dxdy(const oclMat &src, oclMat &dst, oclMat &Dx, oclMat &Dy,
int blockSize, int ksize, double k, int bordertype = cv::BORDER_DEFAULT);
// supports NORM_L1 and NORM_L2 distType
// if indices is provided, only the indexed rows will be calculated and their results are in the same
// order of indices
- CV_EXPORTS void distanceToCenters(oclMat &dists, oclMat &labels, const oclMat &src, const oclMat ¢ers, int distType = NORM_L2SQR, const oclMat &indices = oclMat());
+ CV_EXPORTS void distanceToCenters(const oclMat &src, const oclMat ¢ers, Mat &dists, Mat &labels, int distType = NORM_L2SQR);
//!Does k-means procedure on GPU
// supports CV_32FC1/CV_32FC2/CV_32FC4 data type
{
public:
void detectMultiScale(oclMat &image, CV_OUT std::vector<cv::Rect>& faces,
- double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0,
- Size minSize = Size(), Size maxSize = Size());
+ double scaleFactor = 1.1, int minNeighbors = 3, int flags = 0,
+ Size minSize = Size(), Size maxSize = Size());
};
/////////////////////////////// Pyramid /////////////////////////////////////
harrisK = harrisK_;
}
+ ////////////////////////////////// FAST Feature Detector //////////////////////////////////
+ class CV_EXPORTS FAST_OCL
+ {
+ public:
+ enum
+ {
+ X_ROW = 0,
+ Y_ROW,
+ RESPONSE_ROW,
+ ROWS_COUNT
+ };
+
+ // all features have same size
+ static const int FEATURE_SIZE = 7;
+
+ explicit FAST_OCL(int threshold, bool nonmaxSupression = true, double keypointsRatio = 0.05);
+
+ //! finds the keypoints using FAST detector
+ //! supports only CV_8UC1 images
+ void operator ()(const oclMat& image, const oclMat& mask, oclMat& keypoints);
+ void operator ()(const oclMat& image, const oclMat& mask, std::vector<KeyPoint>& keypoints);
+
+ //! download keypoints from device to host memory
+ static void downloadKeypoints(const oclMat& d_keypoints, std::vector<KeyPoint>& keypoints);
+
+ //! convert keypoints to KeyPoint vector
+ static void convertKeypoints(const Mat& h_keypoints, std::vector<KeyPoint>& keypoints);
+
+ //! release temporary buffer's memory
+ void release();
+
+ bool nonmaxSupression;
+
+ int threshold;
+
+ //! max keypoints = keypointsRatio * img.size().area()
+ double keypointsRatio;
+
+ //! find keypoints and compute it's response if nonmaxSupression is true
+ //! return count of detected keypoints
+ int calcKeyPointsLocation(const oclMat& image, const oclMat& mask);
+
+ //! get final array of keypoints
+ //! performs nonmax supression if needed
+ //! return final count of keypoints
+ int getKeyPoints(oclMat& keypoints);
+
+ private:
+ oclMat kpLoc_;
+ int count_;
+
+ oclMat score_;
+
+ oclMat d_keypoints_;
+
+ int calcKeypointsOCL(const oclMat& img, const oclMat& mask, int maxKeypoints);
+ int nonmaxSupressionOCL(oclMat& keypoints);
+ };
+
/////////////////////////////// PyrLKOpticalFlow /////////////////////////////////////
class CV_EXPORTS PyrLKOpticalFlow
projects / platform / upstream / opencv.git / blobdiff