//! Detects position, traslation and rotation
CV_EXPORTS Ptr<GeneralizedHoughGuil> createGeneralizedHoughGuil();
+//! Performs linear blending of two images
+CV_EXPORTS void blendLinear(InputArray src1, InputArray src2, InputArray weights1, InputArray weights2, OutputArray dst);
+
} // cv
#endif
--- /dev/null
+/*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, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+// Nathan, liujun@multicorewareinc.com
+//
+// 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 materials 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*/
+
+#include "precomp.hpp"
+#include "opencl_kernels.hpp"
+
+namespace cv {
+
+template <typename T>
+class BlendLinearInvoker :
+ public ParallelLoopBody
+{
+public:
+ BlendLinearInvoker(const Mat & _src1, const Mat & _src2, const Mat & _weights1,
+ const Mat & _weights2, Mat & _dst) :
+ src1(&_src1), src2(&_src2), weights1(&_weights1), weights2(&_weights2), dst(&_dst)
+ {
+ }
+
+ virtual void operator() (const Range & range) const
+ {
+ int cn = src1->channels(), width = src1->cols * cn;
+
+ for (int y = range.start; y < range.end; ++y)
+ {
+ const float * const weights1_row = weights1->ptr<float>(y);
+ const float * const weights2_row = weights2->ptr<float>(y);
+ const T * const src1_row = src1->ptr<T>(y);
+ const T * const src2_row = src2->ptr<T>(y);
+ T * const dst_row = dst->ptr<T>(y);
+
+ for (int x = 0; x < width; ++x)
+ {
+ int x1 = x / cn;
+ float w1 = weights1_row[x1], w2 = weights2_row[x1];
+ float den = (w1 + w2 + 1e-5f);
+ float num = (src1_row[x] * w1 + src2_row[x] * w2);
+
+ dst_row[x] = saturate_cast<T>(num / den);
+ }
+ }
+ }
+
+private:
+ const BlendLinearInvoker & operator= (const BlendLinearInvoker &);
+ BlendLinearInvoker(const BlendLinearInvoker &);
+
+ const Mat * src1, * src2, * weights1, * weights2;
+ Mat * dst;
+};
+
+static bool ocl_blendLinear( InputArray _src1, InputArray _src2, InputArray _weights1, InputArray _weights2, OutputArray _dst )
+{
+ int type = _src1.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
+
+ char cvt[30];
+ ocl::Kernel k("blendLinear", ocl::imgproc::blend_linear_oclsrc,
+ format("-D T=%s -D cn=%d -D convertToT=%s", ocl::typeToStr(depth),
+ cn, ocl::convertTypeStr(CV_32F, depth, 1, cvt)));
+ if (k.empty())
+ return false;
+
+ UMat src1 = _src1.getUMat(), src2 = _src2.getUMat(), weights1 = _weights1.getUMat(),
+ weights2 = _weights2.getUMat(), dst = _dst.getUMat();
+
+ k.args(ocl::KernelArg::ReadOnlyNoSize(src1), ocl::KernelArg::ReadOnlyNoSize(src2),
+ ocl::KernelArg::ReadOnlyNoSize(weights1), ocl::KernelArg::ReadOnlyNoSize(weights2),
+ ocl::KernelArg::WriteOnly(dst));
+
+ size_t globalsize[2] = { dst.cols, dst.rows };
+ return k.run(2, globalsize, NULL, false);
+}
+
+}
+
+void cv::blendLinear( InputArray _src1, InputArray _src2, InputArray _weights1, InputArray _weights2, OutputArray _dst )
+{
+ int type = _src1.type(), depth = CV_MAT_DEPTH(type);
+ Size size = _src1.size();
+
+ CV_Assert(depth == CV_8U || depth == CV_32F);
+ CV_Assert(size == _src2.size() && size == _weights1.size() && size == _weights2.size());
+ CV_Assert(type == _src2.type() && _weights1.type() == CV_32FC1 && _weights2.type() == CV_32FC1);
+
+ _dst.create(size, type);
+
+ if (ocl::useOpenCL() && _dst.isUMat() && ocl_blendLinear(_src1, _src2, _weights1, _weights2, _dst))
+ return;
+
+ Mat src1 = _src1.getMat(), src2 = _src2.getMat(), weights1 = _weights1.getMat(),
+ weights2 = _weights2.getMat(), dst = _dst.getMat();
+
+ if (depth == CV_8U)
+ {
+ BlendLinearInvoker<uchar> invoker(src1, src2, weights1, weights2, dst);
+ parallel_for_(Range(0, src1.rows), invoker, dst.total()/(double)(1<<16));
+ }
+ else if (depth == CV_32F)
+ {
+ BlendLinearInvoker<float> invoker(src1, src2, weights1, weights2, dst);
+ parallel_for_(Range(0, src1.rows), invoker, dst.total()/(double)(1<<16));
+ }
+}
--- /dev/null
+/*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, MulticoreWare Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+// Liu Liujun, liujun@multicorewareinc.com
+//
+// 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 materials 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*/
+
+#ifdef DOUBLE_SUPPORT
+#ifdef cl_amd_fp64
+#pragma OPENCL EXTENSION cl_amd_fp64:enable
+#elif defined (cl_khr_fp64)
+#pragma OPENCL EXTENSION cl_khr_fp64:enable
+#endif
+#endif
+
+#define noconvert
+
+__kernel void blendLinear(__global const uchar * src1ptr, int src1_step, int src1_offset,
+ __global const uchar * src2ptr, int src2_step, int src2_offset,
+ __global const uchar * weight1, int weight1_step, int weight1_offset,
+ __global const uchar * weight2, int weight2_step, int weight2_offset,
+ __global uchar * dstptr, int dst_step, int dst_offset, int dst_rows, int dst_cols)
+{
+ int x = get_global_id(0);
+ int y = get_global_id(1);
+
+ if (x < dst_cols && y < dst_rows)
+ {
+ int src1_index = mad24(y, src1_step, src1_offset + x * cn * (int)sizeof(T));
+ int src2_index = mad24(y, src2_step, src2_offset + x * cn * (int)sizeof(T));
+ int weight1_index = mad24(y, weight1_step, weight1_offset + x * (int)sizeof(float));
+ int weight2_index = mad24(y, weight2_step, weight2_offset + x * (int)sizeof(float));
+ int dst_index = mad24(y, dst_step, dst_offset + x * cn * (int)sizeof(T));
+
+ float w1 = *(__global const float *)(weight1 + weight1_index),
+ w2 = *(__global const float *)(weight2 + weight2_index);
+ float den = w1 + w2 + 1e-5f;
+
+ __global const T * src1 = (__global const T *)(src1ptr + src1_index);
+ __global const T * src2 = (__global const T *)(src2ptr + src2_index);
+ __global T * dst = (__global T *)(dstptr + dst_index);
+
+ #pragma unroll
+ for (int i = 0; i < cn; ++i)
+ {
+ float num = w1 * convert_float(src1[i]) + w2 * convert_float(src2[i]);
+ dst[i] = convertToT(num / den);
+ }
+ }
+}
--- /dev/null
+/*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, Multicoreware, Inc., all rights reserved.
+// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// @Authors
+// Nathan, liujun@multicorewareinc.com
+//
+// 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 materials 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*/
+
+#include "test_precomp.hpp"
+#include "cvconfig.h"
+#include "opencv2/ts/ocl_test.hpp"
+
+#ifdef HAVE_OPENCL
+
+namespace cvtest {
+namespace ocl {
+
+PARAM_TEST_CASE(BlendLinear, MatDepth, Channels, bool)
+{
+ int depth, channels;
+ bool useRoi;
+
+ TEST_DECLARE_INPUT_PARAMETER(src1)
+ TEST_DECLARE_INPUT_PARAMETER(src2)
+ TEST_DECLARE_INPUT_PARAMETER(weights2)
+ TEST_DECLARE_INPUT_PARAMETER(weights1)
+ TEST_DECLARE_OUTPUT_PARAMETER(dst)
+
+ virtual void SetUp()
+ {
+ depth = GET_PARAM(0);
+ channels = GET_PARAM(1);
+ useRoi = GET_PARAM(2);
+ }
+
+ void random_roi()
+ {
+ const int type = CV_MAKE_TYPE(depth, channels);
+ const double upValue = 256;
+
+ Size roiSize = randomSize(1, 20);
+ Border src1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(src1, src1_roi, roiSize, src1Border, type, -upValue, upValue);
+
+ Border src2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(src2, src2_roi, roiSize, src2Border, type, -upValue, upValue);
+
+ Border weights1Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(weights1, weights1_roi, roiSize, weights1Border, CV_32FC1, -upValue, upValue);
+
+ Border weights2Border = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(weights2, weights2_roi, roiSize, weights2Border, CV_32FC1, 1e-2, upValue);
+
+ weights2_roi -= weights1_roi;
+ CV_Assert(checkNorm(weights2_roi, weights2(Rect(weights2Border.lef, weights2Border.top,
+ roiSize.width, roiSize.height))) < 1e-6);
+
+ Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
+ randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16);
+
+ UMAT_UPLOAD_INPUT_PARAMETER(src1)
+ UMAT_UPLOAD_INPUT_PARAMETER(src2)
+ UMAT_UPLOAD_INPUT_PARAMETER(weights1)
+ UMAT_UPLOAD_INPUT_PARAMETER(weights2)
+ UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
+ }
+
+ void Near(double eps = 0.0)
+ {
+ EXPECT_MAT_NEAR(dst, udst, eps);
+ EXPECT_MAT_NEAR(dst_roi, udst_roi, eps);
+ }
+};
+
+OCL_TEST_P(BlendLinear, Accuracy)
+{
+ for (int i = 0; i < test_loop_times; ++i)
+ {
+ random_roi();
+
+ OCL_OFF(cv::blendLinear(src1_roi, src2_roi, weights1_roi, weights2_roi, dst_roi));
+ OCL_ON(cv::blendLinear(usrc1_roi, usrc2_roi, uweights1_roi, uweights2_roi, udst_roi));
+
+ Near(depth <= CV_32S ? 1.0 : 0.2);
+ }
+}
+
+OCL_INSTANTIATE_TEST_CASE_P(ImgProc, BlendLinear, Combine(testing::Values(CV_8U, CV_32F), OCL_ALL_CHANNELS, Bool()));
+
+} } // namespace cvtest::ocl
+
+#endif
projects / platform / upstream / opencv.git / commitdiff