127 lines
4.3 KiB
C++
127 lines
4.3 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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// 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,
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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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#include <opencv2/opencv.hpp>
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#include <opencv2/gpu/gpu.hpp>
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#include <iostream>
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#include <string>
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class CV_GpuMeanShiftTest : public CvTest
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{
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public:
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CV_GpuMeanShiftTest();
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protected:
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void run(int);
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};
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CV_GpuMeanShiftTest::CV_GpuMeanShiftTest(): CvTest( "GPU-MeanShift", "MeanShift" ){}
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void CV_GpuMeanShiftTest::run(int)
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{
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int spatialRad = 30;
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int colorRad = 30;
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cv::Mat img = cv::imread(std::string(ts->get_data_path()) + "meanshift/cones.png");
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cv::Mat img_template = cv::imread(std::string(ts->get_data_path()) + "meanshift/con_result.png");
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if (img.empty() || img_template.empty())
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{
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ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
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return;
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}
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cv::Mat rgba;
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cvtColor(img, rgba, CV_BGR2BGRA);
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try
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{
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cv::gpu::GpuMat res;
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cv::gpu::meanShiftFiltering( cv::gpu::GpuMat(rgba), res, spatialRad, colorRad );
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if (res.type() != CV_8UC4)
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{
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return;
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}
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cv::Mat result;
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res.download(result);
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uchar maxDiff = 0;
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for (int j = 0; j < result.rows; ++j)
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{
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const uchar* res_line = result.ptr<uchar>(j);
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const uchar* ref_line = img_template.ptr<uchar>(j);
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for (int i = 0; i < result.cols; ++i)
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{
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for (int k = 0; k < 3; ++k)
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{
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const uchar& ch1 = res_line[result.channels()*i + k];
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const uchar& ch2 = ref_line[img_template.channels()*i + k];
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uchar diff = static_cast<uchar>(abs(ch1 - ch2));
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if (maxDiff < diff)
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maxDiff = diff;
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}
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}
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}
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if (maxDiff > 0)
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{
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ts->printf(CvTS::LOG, "\nMeanShift maxDiff = %d\n", maxDiff);
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ts->set_failed_test_info(CvTS::FAIL_GENERIC);
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return;
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}
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}
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catch(const cv::Exception& e)
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{
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if (!check_and_treat_gpu_exception(e, ts))
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throw;
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return;
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}
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ts->set_failed_test_info(CvTS::OK);
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}
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CV_GpuMeanShiftTest CV_GpuMeanShift_test;
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