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109 lines
4.2 KiB
C++
109 lines
4.2 KiB
C++
/*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) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, 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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// @Authors
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// Peng Xiao, pengxiao@multicorewareinc.com
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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 oclMaterials 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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#define FILTER_IMAGE "../../../samples/gpu/road.png"
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#define SHOW_RESULT 0
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////////////////////////////////////////////////////////
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// Canny
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IMPLEMENT_PARAM_CLASS(AppertureSize, int);
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IMPLEMENT_PARAM_CLASS(L2gradient, bool);
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PARAM_TEST_CASE(Canny, AppertureSize, L2gradient)
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{
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int apperture_size;
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bool useL2gradient;
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cv::Mat edges_gold;
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//std::vector<cv::ocl::Info> oclinfo;
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virtual void SetUp()
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{
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apperture_size = GET_PARAM(0);
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useL2gradient = GET_PARAM(1);
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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}
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};
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TEST_P(Canny, Accuracy)
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{
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cv::Mat img = readImage(FILTER_IMAGE, cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty());
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double low_thresh = 50.0;
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double high_thresh = 100.0;
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cv::resize(img, img, cv::Size(512, 384));
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cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);
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cv::ocl::oclMat edges;
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cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);
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char filename [100];
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sprintf(filename, "G:/Valve_edges_a%d_L2Grad%d.jpg", apperture_size, (int)useL2gradient);
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cv::Mat edges_gold;
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cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient);
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#if SHOW_RESULT
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cv::Mat edges_x2, ocl_edges(edges);
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edges_x2.create(edges.rows, edges.cols * 2, edges.type());
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edges_x2.setTo(0);
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cv::add(edges_gold,cv::Mat(edges_x2,cv::Rect(0,0,edges_gold.cols,edges_gold.rows)), cv::Mat(edges_x2,cv::Rect(0,0,edges_gold.cols,edges_gold.rows)));
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cv::add(ocl_edges,cv::Mat(edges_x2,cv::Rect(edges_gold.cols,0,edges_gold.cols,edges_gold.rows)), cv::Mat(edges_x2,cv::Rect(edges_gold.cols,0,edges_gold.cols,edges_gold.rows)));
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cv::namedWindow("Canny result (left: cpu, right: ocl)");
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cv::imshow("Canny result (left: cpu, right: ocl)", edges_x2);
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cv::waitKey();
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#endif //OUTPUT_RESULT
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EXPECT_MAT_SIMILAR(edges_gold, edges, 1e-2);
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}
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INSTANTIATE_TEST_CASE_P(ocl_ImgProc, Canny, testing::Combine(
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testing::Values(AppertureSize(3), AppertureSize(5)),
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testing::Values(L2gradient(false), L2gradient(true))));
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