added blendLinear into gpu module
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@ -786,6 +786,11 @@ namespace cv
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//! computes the proximity map for the raster template and the image where the template is searched for
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CV_EXPORTS void matchTemplate(const GpuMat& image, const GpuMat& templ, GpuMat& result, int method);
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//! performs linear blending of two images
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//! to avoid accuracy errors sum of weigths shouldn't be very close to zero
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CV_EXPORTS void blendLinear(const GpuMat& img1, const GpuMat& img2,
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const GpuMat& weights1, const GpuMat& weights2, GpuMat& result);
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////////////////////////////// Matrix reductions //////////////////////////////
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101
modules/gpu/src/blend.cpp
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101
modules/gpu/src/blend.cpp
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@ -0,0 +1,101 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other GpuMaterials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or bpied warranties, including, but not limited to, the bpied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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#if !defined (HAVE_CUDA)
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void cv::gpu::blendLinear(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&,
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GpuMat&) { throw_nogpu(); }
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#else
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namespace cv { namespace gpu
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{
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template <typename T>
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void blendLinearCaller(int rows, int cols, int cn, const PtrStep_<T> img1, const PtrStep_<T> img2,
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const PtrStep_<float> weights1, const PtrStep_<float> weights2, PtrStep_<T> result);
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void blendLinearCaller8UC4(int rows, int cols, const PtrStep img1, const PtrStep img2,
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const PtrStepf weights1, const PtrStepf weights2, PtrStep result);
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}}
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void cv::gpu::blendLinear(const GpuMat& img1, const GpuMat& img2,
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const GpuMat& weights1, const GpuMat& weights2, GpuMat& result)
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{
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CV_Assert(img1.size() == img2.size());
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CV_Assert(img1.type() == img2.type());
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CV_Assert(weights1.size() == img1.size());
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CV_Assert(weights2.size() == img2.size());
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CV_Assert(weights1.type() == CV_32F);
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CV_Assert(weights2.type() == CV_32F);
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const Size size = img1.size();
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const int depth = img1.depth();
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const int cn = img1.channels();
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result.create(size, CV_MAKE_TYPE(depth, cn));
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switch (depth)
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{
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case CV_8U:
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if (cn != 4)
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blendLinearCaller(size.height, size.width, cn, (const PtrStep)img1, (const PtrStep)img2,
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(const PtrStepf)weights1, (const PtrStepf)weights2, (PtrStep)result);
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else
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blendLinearCaller8UC4(size.height, size.width, (const PtrStep)img1, (const PtrStep)img2,
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(const PtrStepf)weights1, (const PtrStepf)weights2, (PtrStep)result);
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break;
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case CV_32F:
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blendLinearCaller(size.height, size.width, cn, (const PtrStepf)img1, (const PtrStepf)img2,
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(const PtrStepf)weights1, (const PtrStepf)weights2, (PtrStepf)result);
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break;
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default:
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CV_Error(CV_StsBadArg, "unsupported image depth in linear blending method");
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}
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}
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#endif
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117
modules/gpu/src/cuda/blend.cu
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117
modules/gpu/src/cuda/blend.cu
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@ -0,0 +1,117 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
|
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// copy or use the software.
|
||||
//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
|
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//
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// * Redistribution's of source code must retain the above copyright notice,
|
||||
// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or bpied warranties, including, but not limited to, the bpied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "internal_shared.hpp"
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using namespace cv::gpu;
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namespace cv { namespace gpu
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{
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template <typename T>
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__global__ void blendLinearKernel(int rows, int cols, int cn, const PtrStep_<T> img1, const PtrStep_<T> img2,
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const PtrStepf weights1, const PtrStepf weights2, PtrStep_<T> result)
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{
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int x = blockIdx.x * blockDim.x + threadIdx.x;
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int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (y < rows && x < cols)
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{
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int x_ = x / cn;
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float w1 = weights1.ptr(y)[x_];
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float w2 = weights2.ptr(y)[x_];
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T p1 = img1.ptr(y)[x];
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T p2 = img2.ptr(y)[x];
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result.ptr(y)[x] = (p1 * w1 + p2 * w2) / (w1 + w2 + 1e-5f);
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}
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}
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template <typename T>
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void blendLinearCaller(int rows, int cols, int cn, const PtrStep_<T> img1, const PtrStep_<T> img2,
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const PtrStepf weights1, const PtrStepf weights2, PtrStep_<T> result)
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{
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dim3 threads(16, 16);
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dim3 grid(divUp(cols * cn, threads.x), divUp(rows, threads.y));
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blendLinearKernel<T><<<grid, threads>>>(rows, cols * cn, cn, img1, img2, weights1, weights2, result);
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cudaSafeCall(cudaThreadSynchronize());
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}
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template void blendLinearCaller<uchar>(int, int, int, const PtrStep, const PtrStep,
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const PtrStepf, const PtrStepf, PtrStep);
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template void blendLinearCaller<float>(int, int, int, const PtrStepf, const PtrStepf,
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const PtrStepf, const PtrStepf, PtrStepf);
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__global__ void blendLinearKernel8UC4(int rows, int cols, const PtrStep img1, const PtrStep img2,
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const PtrStepf weights1, const PtrStepf weights2, PtrStep result)
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{
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int x = blockIdx.x * blockDim.x + threadIdx.x;
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int y = blockIdx.y * blockDim.y + threadIdx.y;
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if (y < rows && x < cols)
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{
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float w1 = weights1.ptr(y)[x];
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float w2 = weights2.ptr(y)[x];
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float sum_inv = 1.f / (w1 + w2 + 1e-5f);
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w1 *= sum_inv;
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w2 *= sum_inv;
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uchar4 p1 = ((const uchar4*)img1.ptr(y))[x];
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uchar4 p2 = ((const uchar4*)img2.ptr(y))[x];
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((uchar4*)result.ptr(y))[x] = make_uchar4(p1.x * w1 + p2.x * w2, p1.y * w1 + p2.y * w2,
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p1.z * w1 + p2.z * w2, p1.w * w1 + p2.w * w2);
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}
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}
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void blendLinearCaller8UC4(int rows, int cols, const PtrStep img1, const PtrStep img2,
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const PtrStepf weights1, const PtrStepf weights2, PtrStep result)
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{
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dim3 threads(16, 16);
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dim3 grid(divUp(cols, threads.x), divUp(rows, threads.y));
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blendLinearKernel8UC4<<<grid, threads>>>(rows, cols, img1, img2, weights1, weights2, result);
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cudaSafeCall(cudaThreadSynchronize());
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}
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}}
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96
modules/gpu/test/test_blend.cpp
Normal file
96
modules/gpu/test/test_blend.cpp
Normal file
@ -0,0 +1,96 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
|
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
|
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//
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// * Redistribution's of source code must retain the above copyright notice,
|
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
|
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
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// In no event shall the Intel Corporation or contributors be liable for any direct,
|
||||
// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
|
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// loss of use, data, or profits; or business interruption) however caused
|
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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using namespace std;
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using namespace cv;
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using namespace cv::gpu;
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TEST(blendLinear, accuracy_on_8U)
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{
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Size size(607, 1021);
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RNG rng(0);
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for (int cn = 1; cn <= 4; ++cn)
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{
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Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
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Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
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Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
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Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
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Mat result_gold(size, CV_MAKE_TYPE(CV_8U, cn));
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for (int y = 0; y < size.height; ++y)
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for (int x = 0; x < size.width * cn; ++x)
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{
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float w1 = weights1.at<float>(y, x / cn);
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float w2 = weights2.at<float>(y, x / cn);
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result_gold.at<uchar>(y, x) = static_cast<uchar>(
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(img1.at<uchar>(y, x) * w1 + img2.at<uchar>(y, x) * w2) / (w1 + w2 + 1e-5f));
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}
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GpuMat d_result;
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blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
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ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1) << ", cn=" << cn;
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}
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}
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TEST(blendLinear, accuracy_on_32F)
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{
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Size size(607, 1021);
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RNG rng(0);
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for (int cn = 1; cn <= 4; ++cn)
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{
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Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
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Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
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Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
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Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
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Mat result_gold(size, CV_MAKE_TYPE(CV_32F, cn));
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for (int y = 0; y < size.height; ++y)
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for (int x = 0; x < size.width * cn; ++x)
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{
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float w1 = weights1.at<float>(y, x / cn);
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float w2 = weights2.at<float>(y, x / cn);
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result_gold.at<float>(y, x) =
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(img1.at<float>(y, x) * w1 + img2.at<float>(y, x) * w2) / (w1 + w2 + 1e-5f);
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}
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GpuMat d_result;
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blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
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ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1e-3) << ", cn=" << cn;
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}
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}
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