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Open Source Computer Vision Library
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162 lines
5.5 KiB
162 lines
5.5 KiB
/*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) 2010-2013, 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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// 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 OpenCV Foundation 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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#include "opencv2/ts/ocl_test.hpp" |
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namespace cvtest { |
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namespace ocl { |
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using namespace cv; |
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int test_loop_times = 1; // TODO Read from command line / environment |
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Mat TestUtils::readImage(const String &fileName, int flags) |
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{ |
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return cv::imread(cvtest::TS::ptr()->get_data_path() + fileName, flags); |
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} |
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Mat TestUtils::readImageType(const String &fname, int type) |
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{ |
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Mat src = readImage(fname, CV_MAT_CN(type) == 1 ? cv::IMREAD_GRAYSCALE : cv::IMREAD_COLOR); |
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if (CV_MAT_CN(type) == 4) |
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{ |
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Mat temp; |
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cv::cvtColor(src, temp, cv::COLOR_BGR2BGRA); |
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swap(src, temp); |
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} |
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src.convertTo(src, CV_MAT_DEPTH(type)); |
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return src; |
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} |
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double TestUtils::checkNorm1(InputArray m, InputArray mask) |
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{ |
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return cvtest::norm(m.getMat(), NORM_INF, mask.getMat()); |
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} |
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double TestUtils::checkNorm2(InputArray m1, InputArray m2, InputArray mask) |
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{ |
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return cvtest::norm(m1.getMat(), m2.getMat(), NORM_INF, mask.getMat()); |
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} |
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double TestUtils::checkSimilarity(InputArray m1, InputArray m2) |
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{ |
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Mat diff; |
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matchTemplate(m1.getMat(), m2.getMat(), diff, cv::TM_CCORR_NORMED); |
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return std::abs(diff.at<float>(0, 0) - 1.f); |
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} |
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double TestUtils::checkRectSimilarity(const Size & sz, std::vector<Rect>& ob1, std::vector<Rect>& ob2) |
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{ |
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double final_test_result = 0.0; |
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size_t sz1 = ob1.size(); |
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size_t sz2 = ob2.size(); |
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if (sz1 != sz2) |
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return sz1 > sz2 ? (double)(sz1 - sz2) : (double)(sz2 - sz1); |
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else |
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{ |
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if (sz1 == 0 && sz2 == 0) |
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return 0; |
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cv::Mat cpu_result(sz, CV_8UC1); |
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cpu_result.setTo(0); |
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for (vector<Rect>::const_iterator r = ob1.begin(); r != ob1.end(); ++r) |
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{ |
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cv::Mat cpu_result_roi(cpu_result, *r); |
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cpu_result_roi.setTo(1); |
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cpu_result.copyTo(cpu_result); |
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} |
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int cpu_area = cv::countNonZero(cpu_result > 0); |
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cv::Mat gpu_result(sz, CV_8UC1); |
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gpu_result.setTo(0); |
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for(vector<Rect>::const_iterator r2 = ob2.begin(); r2 != ob2.end(); ++r2) |
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{ |
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cv::Mat gpu_result_roi(gpu_result, *r2); |
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gpu_result_roi.setTo(1); |
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gpu_result.copyTo(gpu_result); |
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} |
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cv::Mat result_; |
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multiply(cpu_result, gpu_result, result_); |
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int result = cv::countNonZero(result_ > 0); |
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if (cpu_area!=0 && result!=0) |
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final_test_result = 1.0 - (double)result/(double)cpu_area; |
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else if(cpu_area==0 && result!=0) |
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final_test_result = -1; |
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} |
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return final_test_result; |
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} |
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void TestUtils::showDiff(InputArray _src, InputArray _gold, InputArray _actual, double eps, bool alwaysShow) |
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{ |
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Mat src = _src.getMat(), actual = _actual.getMat(), gold = _gold.getMat(); |
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Mat diff, diff_thresh; |
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absdiff(gold, actual, diff); |
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diff.convertTo(diff, CV_32F); |
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threshold(diff, diff_thresh, eps, 255.0, cv::THRESH_BINARY); |
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if (alwaysShow || cv::countNonZero(diff_thresh.reshape(1)) > 0) |
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{ |
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#if 0 |
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std::cout << "Source: " << std::endl << src << std::endl; |
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std::cout << "Expected: " << std::endl << gold << std::endl; |
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std::cout << "Actual: " << std::endl << actual << std::endl; |
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#endif |
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namedWindow("src", WINDOW_NORMAL); |
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namedWindow("gold", WINDOW_NORMAL); |
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namedWindow("actual", WINDOW_NORMAL); |
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namedWindow("diff", WINDOW_NORMAL); |
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imshow("src", src); |
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imshow("gold", gold); |
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imshow("actual", actual); |
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imshow("diff", diff); |
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cv::waitKey(); |
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} |
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} |
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} } // namespace cvtest::ocl
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