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https://github.com/opencv/opencv.git
synced 2024-11-29 05:29:54 +08:00
added first version of gpu::matchTemplate, currently it works only with 8UC1 images and SQDIFF method
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50167f6c26
@ -656,6 +656,10 @@ namespace cv
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CV_EXPORTS void cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType=BORDER_REFLECT101);
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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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//////////////////////////////// Filter Engine ////////////////////////////////
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/*!
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@ -40,7 +40,7 @@
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//
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//M*/
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#include "internal_common.hpp"
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#include "internal_shared.hpp"
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#include "border_interpolate.hpp"
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#include "opencv2/gpu/gpu.hpp"
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@ -43,7 +43,7 @@
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#ifndef __OPENCV_GPU_BORDER_INTERPOLATE_HPP__
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#define __OPENCV_GPU_BORDER_INTERPOLATE_HPP__
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#include "../internal_common.hpp"
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#include "../internal_shared.hpp"
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namespace cv { namespace gpu {
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97
modules/gpu/src/cuda/match_template.cu
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97
modules/gpu/src/cuda/match_template.cu
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@ -0,0 +1,97 @@
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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 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 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,
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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 "cuda_shared.hpp"
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using namespace cv::gpu;
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namespace cv { namespace gpu { namespace imgproc {
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texture<unsigned char, 2> imageTex_8U;
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texture<unsigned char, 2> templTex_8U;
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__global__ void matchTemplateKernel_8U_SqDiff(int w, int h, DevMem2Df result)
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{
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int x = blockDim.x * blockIdx.x + threadIdx.x;
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int y = blockDim.y * blockIdx.y + threadIdx.y;
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if (x < result.cols && y < result.rows)
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{
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float sum = 0.f;
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float delta;
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for (int i = 0; i < h; ++i)
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{
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for (int j = 0; j < w; ++j)
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{
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delta = (float)tex2D(imageTex_8U, x + j, y + i) -
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(float)tex2D(templTex_8U, j, i);
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sum += delta * delta;
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}
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}
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result.ptr(y)[x] = sum;
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}
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}
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void matchTemplateCaller_8U_SqDiff(const DevMem2D image, const DevMem2D templ, DevMem2Df result)
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{
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dim3 threads(32, 8);
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dim3 grid(divUp(image.cols - templ.cols + 1, threads.x),
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divUp(image.rows - templ.rows + 1, threads.y));
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cudaChannelFormatDesc desc = cudaCreateChannelDesc<unsigned char>();
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cudaBindTexture2D(0, imageTex_8U, image.data, desc, image.cols, image.rows, image.step);
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cudaBindTexture2D(0, templTex_8U, templ.data, desc, templ.cols, templ.rows, templ.step);
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imageTex_8U.filterMode = cudaFilterModePoint;
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templTex_8U.filterMode = cudaFilterModePoint;
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matchTemplateKernel_8U_SqDiff<<<grid, threads>>>(templ.cols, templ.rows, result);
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cudaSafeCall(cudaThreadSynchronize());
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cudaSafeCall(cudaUnbindTexture(imageTex_8U));
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cudaSafeCall(cudaUnbindTexture(templTex_8U));
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}
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}}}
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@ -40,8 +40,8 @@
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//
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//M*/
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#ifndef __OPENCV_GPU_INTERNAL_COMMON_HPP__
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#define __OPENCV_GPU_INTERNAL_COMMON_HPP__
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#ifndef __OPENCV_GPU_INTERNAL_SHARED_HPP__
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#define __OPENCV_GPU_INTERNAL_SHARED_HPP__
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namespace cv { namespace gpu {
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69
modules/gpu/src/match_template.cpp
Normal file
69
modules/gpu/src/match_template.cpp
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@ -0,0 +1,69 @@
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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 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 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,
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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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#if !defined (HAVE_CUDA)
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void cv::gpu::matchTemplate(const GpuMat&, const GpuMat&, GpuMat&, int) { throw_nogpu(); }
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#else
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namespace cv { namespace gpu { namespace imgproc {
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void matchTemplateCaller_8U_SqDiff(const DevMem2D, const DevMem2D, DevMem2Df);
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}}}
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void cv::gpu::matchTemplate(const GpuMat& image, const GpuMat& templ, GpuMat& result, int method)
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{
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CV_Assert(image.type() == CV_8U);
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CV_Assert(method == CV_TM_SQDIFF);
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CV_Assert(image.type() == templ.type());
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CV_Assert(image.cols >= templ.cols && image.rows >= templ.rows);
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result.create(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32F);
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imgproc::matchTemplateCaller_8U_SqDiff(image, templ, result);
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}
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#endif
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@ -56,7 +56,10 @@ const char* blacklist[] =
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int main( int argc, char** argv )
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{
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return test_system.run( argc, argv, blacklist );
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argc = 3;
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const char* manargs[] = { "gputest", "-tn", "GPU-MatchTemplateTest"};
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return test_system.run( argc, (char**)manargs, blacklist );
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}
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/* End of file. */
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145
tests/gpu/src/match_template.cpp
Normal file
145
tests/gpu/src/match_template.cpp
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@ -0,0 +1,145 @@
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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 "gputest.hpp"
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using namespace cv;
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using namespace std;
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struct CV_GpuMatchTemplateTest: CvTest
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{
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CV_GpuMatchTemplateTest(): CvTest("GPU-MatchTemplateTest", "matchTemplate") {}
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void run(int)
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{
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try
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{
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Mat image, templ;
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Mat dst_gold;
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gpu::GpuMat dst;
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int n, m, h, w;
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for (int i = 0; i < 4; ++i)
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{
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n = 1 + rand() % 100;
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m = 1 + rand() % 100;
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do h = 1 + rand() % 20; while (h > n);
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do w = 1 + rand() % 20; while (w > m);
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gen(image, n, m, CV_8U);
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gen(templ, h, w, CV_8U);
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match_template_naive(image, templ, dst_gold);
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gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF);
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if (!check8U(dst_gold, Mat(dst))) return;
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}
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}
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catch (const Exception& e)
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{
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if (!check_and_treat_gpu_exception(e, ts)) throw;
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return;
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}
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}
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void gen(Mat& a, int rows, int cols, int type)
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{
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RNG rng;
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a.create(rows, cols, type);
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if (type == CV_8U)
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rng.fill(a, RNG::UNIFORM, Scalar(0), Scalar(10));
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}
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// Naive version for unsigned char
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// Time complexity is O(a.size().area() * b.size().area()).
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void match_template_naive(const Mat& a, const Mat& b, Mat& c)
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{
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c.create(a.rows - b.rows + 1, a.cols - b.cols + 1, CV_32F);
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for (int i = 0; i < c.rows; ++i)
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{
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for (int j = 0; j < c.cols; ++j)
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{
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float delta;
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float sum = 0.f;
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for (int y = 0; y < b.rows; ++y)
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{
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const unsigned char* arow = a.ptr(i + y);
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const unsigned char* brow = b.ptr(y);
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for (int x = 0; x < b.cols; ++x)
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{
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delta = (float)(arow[j + x] - brow[x]);
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sum += delta * delta;
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}
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}
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c.at<float>(i, j) = sum;
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}
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}
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}
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bool check8U(const Mat& a, const Mat& b)
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{
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if (a.size() != b.size())
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{
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ts->printf(CvTS::CONSOLE, "bad size");
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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for (int i = 0; i < a.rows; ++i)
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{
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for (int j = 0; j < a.cols; ++j)
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{
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float v1 = a.at<float>(i, j);
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float v2 = b.at<float>(i, j);
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if (fabs(v1 - v2) > 1e-3f)
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{
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ts->printf(CvTS::CONSOLE, "(gold)%f != %f, pos: (%d, %d) size: (%d, %d)\n",
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v1, v2, j, i, a.cols, a.rows);
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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}
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}
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return true;
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}
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} match_template_test;
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