MatOp_Identity() {}
virtual ~MatOp_Identity() {}
- bool elementWise(const MatExpr& expr) const { return true; }
+ bool elementWise(const MatExpr& /*expr*/) const { return true; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
static void makeExpr(MatExpr& res, const Mat& m);
MatOp_AddEx() {}
virtual ~MatOp_AddEx() {}
- bool elementWise(const MatExpr& expr) const { return true; }
+ bool elementWise(const MatExpr& /*expr*/) const { return true; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
void add(const MatExpr& e1, const Scalar& s, MatExpr& res) const;
MatOp_Bin() {}
virtual ~MatOp_Bin() {}
- bool elementWise(const MatExpr& expr) const { return true; }
+ bool elementWise(const MatExpr& /*expr*/) const { return true; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
void multiply(const MatExpr& e1, double s, MatExpr& res) const;
MatOp_Cmp() {}
virtual ~MatOp_Cmp() {}
- bool elementWise(const MatExpr& expr) const { return true; }
+ bool elementWise(const MatExpr& /*expr*/) const { return true; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
static void makeExpr(MatExpr& res, int cmpop, const Mat& a, const Mat& b);
MatOp_GEMM() {}
virtual ~MatOp_GEMM() {}
- bool elementWise(const MatExpr& expr) const { return false; }
+ bool elementWise(const MatExpr& /*expr*/) const { return false; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
void add(const MatExpr& e1, const MatExpr& e2, MatExpr& res) const;
MatOp_Invert() {}
virtual ~MatOp_Invert() {}
- bool elementWise(const MatExpr& expr) const { return false; }
+ bool elementWise(const MatExpr& /*expr*/) const { return false; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
void matmul(const MatExpr& expr1, const MatExpr& expr2, MatExpr& res) const;
MatOp_T() {}
virtual ~MatOp_T() {}
- bool elementWise(const MatExpr& expr) const { return false; }
+ bool elementWise(const MatExpr& /*expr*/) const { return false; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
void multiply(const MatExpr& e1, double s, MatExpr& res) const;
MatOp_Solve() {}
virtual ~MatOp_Solve() {}
- bool elementWise(const MatExpr& expr) const { return false; }
+ bool elementWise(const MatExpr& /*expr*/) const { return false; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
static void makeExpr(MatExpr& res, int method, const Mat& a, const Mat& b);
MatOp_Initializer() {}
virtual ~MatOp_Initializer() {}
- bool elementWise(const MatExpr& expr) const { return false; }
+ bool elementWise(const MatExpr& /*expr*/) const { return false; }
void assign(const MatExpr& expr, Mat& m, int type=-1) const;
void multiply(const MatExpr& e, double s, MatExpr& res) const;
/////////////////////////////////////////////////////////////////////////////////////////////////////
-bool MatOp::elementWise(const MatExpr& expr) const
+bool MatOp::elementWise(const MatExpr& /*expr*/) const
{
return false;
}
//! applies an advanced morphological operation to the image\r
CV_EXPORTS void morphologyEx( const GpuMat& src, GpuMat& dst, int op, const Mat& kernel, Point anchor, int iterations);\r
\r
+\r
+ //////////////////////////////// Image Labeling ////////////////////////////////\r
+\r
+ //!performs labeling via graph cuts\r
+ CV_EXPORTS void graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& bottom, GpuMat& labels, GpuMat& buf);\r
+\r
//////////////////////////////// StereoBM_GPU ////////////////////////////////\r
\r
class CV_EXPORTS StereoBM_GPU\r
void morphoogy_caller(npp_morf_func func, const GpuMat& src, GpuMat& dst, const Mat& kernel, Point anchor, int iterations)\r
{\r
CV_Assert(src.type() == CV_8U || src.type() == CV_8UC4); \r
- CV_Assert(kernel.isContinuous() && kernel.type() == CV_8U && (kernel.cols & 1) != 0 && (kernel.rows & 1) != 0);\r
+ CV_Assert(kernel.type() == CV_8U && (kernel.cols & 1) != 0 && (kernel.rows & 1) != 0);\r
\r
// in NPP for Cuda 3.1 only such anchor is supported.\r
CV_Assert(anchor.x == kernel.cols/2 && anchor.y == kernel.rows/2);\r
- \r
+\r
+ const Mat& cont_krnl = (kernel.isContinuous() ? kernel : kernel.clone()).reshape(1, 1);\r
+ GpuMat gpu_krnl(cont_krnl);\r
+ \r
NppiSize sz;\r
sz.width = src.cols;\r
sz.height = src.rows;\r
dst.create(src.size(), src.type());\r
\r
for(int i = 0; i < iterations; ++i)\r
- nppSafeCall( func(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz, kernel.ptr<Npp8u>(), mask_sz, anc) );\r
+ nppSafeCall( func(src.ptr<Npp8u>(), src.step, dst.ptr<Npp8u>(), dst.step, sz, gpu_krnl.ptr<Npp8u>(), mask_sz, anc) );\r
}\r
}\r
\r
--- /dev/null
+/*M///////////////////////////////////////////////////////////////////////////////////////\r
+//\r
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.\r
+//\r
+// By downloading, copying, installing or using the software you agree to this license.\r
+// If you do not agree to this license, do not download, install,\r
+// copy or use the software.\r
+//\r
+//\r
+// License Agreement\r
+// For Open Source Computer Vision Library\r
+//\r
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.\r
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.\r
+// Third party copyrights are property of their respective owners.\r
+//\r
+// Redistribution and use in source and binary forms, with or without modification,\r
+// are permitted provided that the following conditions are met:\r
+//\r
+// * Redistribution's of source code must retain the above copyright notice,\r
+// this list of conditions and the following disclaimer.\r
+//\r
+// * Redistribution's in binary form must reproduce the above copyright notice,\r
+// this list of conditions and the following disclaimer in the documentation\r
+// and/or other GpuMaterials provided with the distribution.\r
+//\r
+// * The name of the copyright holders may not be used to endorse or promote products\r
+// derived from this software without specific prior written permission.\r
+//\r
+// This software is provided by the copyright holders and contributors "as is" and\r
+// any express or bpied warranties, including, but not limited to, the bpied\r
+// warranties of merchantability and fitness for a particular purpose are disclaimed.\r
+// In no event shall the Intel Corporation or contributors be liable for any direct,\r
+// indirect, incidental, special, exemplary, or consequential damages\r
+// (including, but not limited to, procurement of substitute goods or services;\r
+// loss of use, data, or profits; or business interruption) however caused\r
+// and on any theory of liability, whether in contract, strict liability,\r
+// or tort (including negligence or otherwise) arising in any way out of\r
+// the use of this software, even if advised of the possibility of such damage.\r
+//\r
+//M*/\r
+\r
+#include "precomp.hpp"\r
+\r
+#if !defined (HAVE_CUDA)\r
+\r
+void cv::gpu::graphcut(GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&, GpuMat&) { throw_nogpu(); }\r
+\r
+#else /* !defined (HAVE_CUDA) */\r
+\r
+void cv::gpu::graphcut(GpuMat& terminals, GpuMat& leftTransp, GpuMat& rightTransp, GpuMat& top, GpuMat& bottom, GpuMat& labels, GpuMat& buf)\r
+{\r
+ CV_Assert(leftTransp.type() == CV_32S && rightTransp.type() == CV_32S);\r
+ CV_Assert(terminals.type() == CV_32S && bottom.type() == CV_32S && top.type() == CV_32S);\r
+ CV_Assert(terminals.size() == leftTransp.size());\r
+ CV_Assert(terminals.size() == rightTransp.size());\r
+ CV_Assert(terminals.size() == top.size() && terminals.size() == bottom.size()); \r
+ CV_Assert(top.step == bottom.step && top.step == terminals.step && rightTransp.step == leftTransp.step);\r
+ \r
+ labels.create(terminals.size(), CV_8U);\r
+\r
+ NppiSize sznpp;\r
+ sznpp.width = terminals.cols;\r
+ sznpp.height = terminals.rows;\r
+\r
+ int bufsz;\r
+ nppSafeCall( nppiGraphcutGetSize(sznpp, &bufsz) );\r
+\r
+ if ((size_t)bufsz > buf.cols * buf.rows * buf.elemSize())\r
+ buf.create(1, bufsz, CV_8U);\r
+\r
+ nppSafeCall( nppiGraphcut_32s8u(terminals.ptr<Npp32s>(), leftTransp.ptr<Npp32s>(), rightTransp.ptr<Npp32s>(), top.ptr<Npp32s>(), bottom.ptr<Npp32s>(), \r
+ terminals.step, leftTransp.step, sznpp, labels.ptr<Npp8u>(), labels.step, buf.ptr<Npp8u>()) );\r
+}\r
+\r
+\r
+#endif /* !defined (HAVE_CUDA) */\r
+\r
+\r
+\r
+\r
+\r
+\r
protected:
virtual int test(const Mat& img)
{
- Mat kernel(3, 3, CV_8U, Scalar(1));
+ GpuMat kernel(Mat::ones(3, 3, CV_8U));
Point anchor(1,1);
int iters = 3;
protected:
virtual int test(const Mat& img)
{
- Mat kernel(3, 3, CV_8U, Scalar(1));
+ GpuMat kernel(Mat::ones(3, 3, CV_8U));
Point anchor(1,1);
int iters = 3;
const char *names[] = { "MORPH_OPEN", "CV_MOP_CLOSE", "CV_MOP_GRADIENT", "CV_MOP_TOPHAT", "CV_MOP_BLACKHAT"};
int num = sizeof(ops)/sizeof(ops[0]);
- Mat kernel(3, 3, CV_8U, Scalar(1));
+ GpuMat kernel(Mat::ones(3, 3, CV_8U));
Point anchor(1,1);
int iters = 3;