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added blendLinear into gpu module

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pull/13383/head
Alexey Spizhevoy 14 years ago
parent 110351d3de
commit 6cec5ff552
4 changed files with 319 additions and 0 deletions
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  1. 5
      modules/gpu/include/opencv2/gpu/gpu.hpp
  2. 101
      modules/gpu/src/blend.cpp
  3. 117
      modules/gpu/src/cuda/blend.cu
  4. 96
      modules/gpu/test/test_blend.cpp

5
modules/gpu/include/opencv2/gpu/gpu.hpp
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@ -786,6 +786,11 @@ namespace cv
//! computes the proximity map for the raster template and the image where the template is searched for
CV_EXPORTS void matchTemplate(const GpuMat& image, const GpuMat& templ, GpuMat& result, int method);
//! performs linear blending of two images
//! to avoid accuracy errors sum of weigths shouldn't be very close to zero
CV_EXPORTS void blendLinear(const GpuMat& img1, const GpuMat& img2,
const GpuMat& weights1, const GpuMat& weights2, GpuMat& result);
////////////////////////////// Matrix reductions //////////////////////////////

101
modules/gpu/src/blend.cpp
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@ -0,0 +1,101 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 GpuMaterials 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 bpied warranties, including, but not limited to, the bpied
// 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"
using namespace std;
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA)
void cv::gpu::blendLinear(const GpuMat&, const GpuMat&, const GpuMat&, const GpuMat&,
GpuMat&) { throw_nogpu(); }
#else
namespace cv { namespace gpu
{
template <typename T>
void blendLinearCaller(int rows, int cols, int cn, const PtrStep_<T> img1, const PtrStep_<T> img2,
const PtrStep_<float> weights1, const PtrStep_<float> weights2, PtrStep_<T> result);
void blendLinearCaller8UC4(int rows, int cols, const PtrStep img1, const PtrStep img2,
const PtrStepf weights1, const PtrStepf weights2, PtrStep result);
}}
void cv::gpu::blendLinear(const GpuMat& img1, const GpuMat& img2,
const GpuMat& weights1, const GpuMat& weights2, GpuMat& result)
{
CV_Assert(img1.size() == img2.size());
CV_Assert(img1.type() == img2.type());
CV_Assert(weights1.size() == img1.size());
CV_Assert(weights2.size() == img2.size());
CV_Assert(weights1.type() == CV_32F);
CV_Assert(weights2.type() == CV_32F);
const Size size = img1.size();
const int depth = img1.depth();
const int cn = img1.channels();
result.create(size, CV_MAKE_TYPE(depth, cn));
switch (depth)
{
case CV_8U:
if (cn != 4)
blendLinearCaller(size.height, size.width, cn, (const PtrStep)img1, (const PtrStep)img2,
(const PtrStepf)weights1, (const PtrStepf)weights2, (PtrStep)result);
else
blendLinearCaller8UC4(size.height, size.width, (const PtrStep)img1, (const PtrStep)img2,
(const PtrStepf)weights1, (const PtrStepf)weights2, (PtrStep)result);
break;
case CV_32F:
blendLinearCaller(size.height, size.width, cn, (const PtrStepf)img1, (const PtrStepf)img2,
(const PtrStepf)weights1, (const PtrStepf)weights2, (PtrStepf)result);
break;
default:
CV_Error(CV_StsBadArg, "unsupported image depth in linear blending method");
}
}
#endif

117
modules/gpu/src/cuda/blend.cu
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@ -0,0 +1,117 @@
/*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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 bpied warranties, including, but not limited to, the bpied
// 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 "internal_shared.hpp"
using namespace cv::gpu;
namespace cv { namespace gpu
{
template <typename T>
__global__ void blendLinearKernel(int rows, int cols, int cn, const PtrStep_<T> img1, const PtrStep_<T> img2,
const PtrStepf weights1, const PtrStepf weights2, PtrStep_<T> result)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y < rows && x < cols)
{
int x_ = x / cn;
float w1 = weights1.ptr(y)[x_];
float w2 = weights2.ptr(y)[x_];
T p1 = img1.ptr(y)[x];
T p2 = img2.ptr(y)[x];
result.ptr(y)[x] = (p1 * w1 + p2 * w2) / (w1 + w2 + 1e-5f);
}
}
template <typename T>
void blendLinearCaller(int rows, int cols, int cn, const PtrStep_<T> img1, const PtrStep_<T> img2,
const PtrStepf weights1, const PtrStepf weights2, PtrStep_<T> result)
{
dim3 threads(16, 16);
dim3 grid(divUp(cols * cn, threads.x), divUp(rows, threads.y));
blendLinearKernel<T><<<grid, threads>>>(rows, cols * cn, cn, img1, img2, weights1, weights2, result);
cudaSafeCall(cudaThreadSynchronize());
}
template void blendLinearCaller<uchar>(int, int, int, const PtrStep, const PtrStep,
const PtrStepf, const PtrStepf, PtrStep);
template void blendLinearCaller<float>(int, int, int, const PtrStepf, const PtrStepf,
const PtrStepf, const PtrStepf, PtrStepf);
__global__ void blendLinearKernel8UC4(int rows, int cols, const PtrStep img1, const PtrStep img2,
const PtrStepf weights1, const PtrStepf weights2, PtrStep result)
{
int x = blockIdx.x * blockDim.x + threadIdx.x;
int y = blockIdx.y * blockDim.y + threadIdx.y;
if (y < rows && x < cols)
{
float w1 = weights1.ptr(y)[x];
float w2 = weights2.ptr(y)[x];
float sum_inv = 1.f / (w1 + w2 + 1e-5f);
w1 *= sum_inv;
w2 *= sum_inv;
uchar4 p1 = ((const uchar4*)img1.ptr(y))[x];
uchar4 p2 = ((const uchar4*)img2.ptr(y))[x];
((uchar4*)result.ptr(y))[x] = make_uchar4(p1.x * w1 + p2.x * w2, p1.y * w1 + p2.y * w2,
p1.z * w1 + p2.z * w2, p1.w * w1 + p2.w * w2);
}
}
void blendLinearCaller8UC4(int rows, int cols, const PtrStep img1, const PtrStep img2,
const PtrStepf weights1, const PtrStepf weights2, PtrStep result)
{
dim3 threads(16, 16);
dim3 grid(divUp(cols, threads.x), divUp(rows, threads.y));
blendLinearKernel8UC4<<<grid, threads>>>(rows, cols, img1, img2, weights1, weights2, result);
cudaSafeCall(cudaThreadSynchronize());
}
}}

96
modules/gpu/test/test_blend.cpp
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@ -0,0 +1,96 @@
/*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.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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 Intel Corporation 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"
using namespace std;
using namespace cv;
using namespace cv::gpu;
TEST(blendLinear, accuracy_on_8U)
{
Size size(607, 1021);
RNG rng(0);
for (int cn = 1; cn <= 4; ++cn)
{
Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_8U, cn), 0, 255, false);
Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat result_gold(size, CV_MAKE_TYPE(CV_8U, cn));
for (int y = 0; y < size.height; ++y)
for (int x = 0; x < size.width * cn; ++x)
{
float w1 = weights1.at<float>(y, x / cn);
float w2 = weights2.at<float>(y, x / cn);
result_gold.at<uchar>(y, x) = static_cast<uchar>(
(img1.at<uchar>(y, x) * w1 + img2.at<uchar>(y, x) * w2) / (w1 + w2 + 1e-5f));
}
GpuMat d_result;
blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1) << ", cn=" << cn;
}
}
TEST(blendLinear, accuracy_on_32F)
{
Size size(607, 1021);
RNG rng(0);
for (int cn = 1; cn <= 4; ++cn)
{
Mat img1 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
Mat img2 = cvtest::randomMat(rng, size, CV_MAKE_TYPE(CV_32F, cn), 0, 1, false);
Mat weights1 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat weights2 = cvtest::randomMat(rng, size, CV_32F, 0, 1, false);
Mat result_gold(size, CV_MAKE_TYPE(CV_32F, cn));
for (int y = 0; y < size.height; ++y)
for (int x = 0; x < size.width * cn; ++x)
{
float w1 = weights1.at<float>(y, x / cn);
float w2 = weights2.at<float>(y, x / cn);
result_gold.at<float>(y, x) =
(img1.at<float>(y, x) * w1 + img2.at<float>(y, x) * w2) / (w1 + w2 + 1e-5f);
}
GpuMat d_result;
blendLinear(GpuMat(img1), GpuMat(img2), GpuMat(weights1), GpuMat(weights2), d_result);
ASSERT_LE(cvtest::norm(result_gold, Mat(d_result), NORM_INF), 1e-3) << ", cn=" << cn;
}
}
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