removed obsolete API

This commit is contained in:
Vladislav Vinogradov 2013-06-24 14:32:45 +04:00
parent 5da724001f
commit 59edad5a00

View File

@ -50,17 +50,6 @@
#include "opencv2/core/gpu.hpp"
#include "opencv2/imgproc.hpp"
#if defined __GNUC__
#define __OPENCV_GPUIMGPROC_DEPR_BEFORE__
#define __OPENCV_GPUIMGPROC_DEPR_AFTER__ __attribute__ ((deprecated))
#elif (defined WIN32 || defined _WIN32)
#define __OPENCV_GPUIMGPROC_DEPR_BEFORE__ __declspec(deprecated)
#define __OPENCV_GPUIMGPROC_DEPR_AFTER__
#else
#define __OPENCV_GPUIMGPROC_DEPR_BEFORE__
#define __OPENCV_GPUIMGPROC_DEPR_AFTER__
#endif
namespace cv { namespace gpu {
/////////////////////////// Color Processing ///////////////////////////
@ -202,22 +191,6 @@ public:
CV_EXPORTS Ptr<CannyEdgeDetector> createCannyEdgeDetector(double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false);
// obsolete
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void Canny(InputArray image, OutputArray edges,
double low_thresh, double high_thresh, int apperture_size = 3, bool L2gradient = false) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void Canny(InputArray image, OutputArray edges, double low_thresh, double high_thresh, int apperture_size, bool L2gradient)
{
gpu::createCannyEdgeDetector(low_thresh, high_thresh, apperture_size, L2gradient)->detect(image, edges);
}
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void Canny(InputArray dx, InputArray dy, OutputArray edges,
double low_thresh, double high_thresh, bool L2gradient = false) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void Canny(InputArray dx, InputArray dy, OutputArray edges, double low_thresh, double high_thresh, bool L2gradient)
{
gpu::createCannyEdgeDetector(low_thresh, high_thresh, 3, L2gradient)->detect(dx, dy, edges);
}
/////////////////////////// Hough Transform ////////////////////////////
//////////////////////////////////////
@ -247,15 +220,6 @@ public:
CV_EXPORTS Ptr<HoughLinesDetector> createHoughLinesDetector(float rho, float theta, int threshold, bool doSort = false, int maxLines = 4096);
// obsolete
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void HoughLines(InputArray src, OutputArray lines, float rho, float theta, int threshold,
bool doSort = false, int maxLines = 4096) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void HoughLines(InputArray src, OutputArray lines, float rho, float theta, int threshold, bool doSort, int maxLines)
{
gpu::createHoughLinesDetector(rho, theta, threshold, doSort, maxLines)->detect(src, lines);
}
//////////////////////////////////////
// HoughLinesP
@ -284,16 +248,6 @@ public:
CV_EXPORTS Ptr<HoughSegmentDetector> createHoughSegmentDetector(float rho, float theta, int minLineLength, int maxLineGap, int maxLines = 4096);
// obsolete
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void HoughLinesP(InputArray src, OutputArray lines,
float rho, float theta, int minLineLength, int maxLineGap, int maxLines = 4096) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void HoughLinesP(InputArray src, OutputArray lines, float rho, float theta, int minLineLength, int maxLineGap, int maxLines)
{
gpu::createHoughSegmentDetector(rho, theta, minLineLength, maxLineGap, maxLines)->detect(src, lines);
}
//////////////////////////////////////
// HoughCircles
@ -326,18 +280,6 @@ public:
CV_EXPORTS Ptr<HoughCirclesDetector> createHoughCirclesDetector(float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096);
// obsolete
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void HoughCircles(InputArray src, OutputArray circles,
int method, float dp, float minDist, int cannyThreshold, int votesThreshold,
int minRadius, int maxRadius, int maxCircles = 4096) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void HoughCircles(InputArray src, OutputArray circles, int /*method*/, float dp, float minDist,
int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles)
{
gpu::createHoughCirclesDetector(dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius, maxCircles)->detect(src, circles);
}
//////////////////////////////////////
// GeneralizedHough
@ -374,26 +316,6 @@ CV_EXPORTS Ptr<CornernessCriteria> createHarrisCorner(int srcType, int blockSize
//! computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria
CV_EXPORTS Ptr<CornernessCriteria> createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType = BORDER_REFLECT101);
// obsolete
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void cornerHarris(InputArray src, OutputArray dst,
int blockSize, int ksize, double k, int borderType = BORDER_REFLECT101,
Stream& stream = Stream::Null()) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void cornerHarris(InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType, Stream& stream)
{
gpu::createHarrisCorner(src.type(), blockSize, ksize, k, borderType)->compute(src, dst, stream);
}
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void cornerMinEigenVal(InputArray src, OutputArray dst,
int blockSize, int ksize, int borderType = BORDER_REFLECT101,
Stream& stream = Stream::Null()) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void cornerMinEigenVal(InputArray src, OutputArray dst, int blockSize, int ksize, int borderType, Stream& stream)
{
gpu::createMinEigenValCorner(src.type(), blockSize, ksize, borderType)->compute(src, dst, stream);
}
////////////////////////// Corners Detection ///////////////////////////
class CV_EXPORTS CornersDetector : public Algorithm
@ -433,16 +355,6 @@ public:
CV_EXPORTS Ptr<TemplateMatching> createTemplateMatching(int srcType, int method, Size user_block_size = Size());
// obsolete
__OPENCV_GPUIMGPROC_DEPR_BEFORE__ void matchTemplate(InputArray image, InputArray templ, OutputArray result,
int method, Stream& stream = Stream::Null()) __OPENCV_GPUIMGPROC_DEPR_AFTER__;
inline void matchTemplate(InputArray image, InputArray templ, OutputArray result, int method, Stream& stream)
{
gpu::createTemplateMatching(image.type(), method)->match(image, templ, result, stream);
}
////////////////////////// Bilateral Filter ///////////////////////////
//! Performa bilateral filtering of passsed image
@ -458,7 +370,4 @@ CV_EXPORTS void blendLinear(InputArray img1, InputArray img2, InputArray weights
}} // namespace cv { namespace gpu {
#undef __OPENCV_GPUIMGPROC_DEPR_BEFORE__
#undef __OPENCV_GPUIMGPROC_DEPR_AFTER__
#endif /* __OPENCV_GPUIMGPROC_HPP__ */