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Open Source Computer Vision Library
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122 lines
4.6 KiB
122 lines
4.6 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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// 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 <iostream> |
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#include <string> |
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#include <iosfwd> |
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#include "test_precomp.hpp" |
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using namespace cv; |
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using namespace cv::gpu; |
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using namespace std; |
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struct CV_GpuMeanShiftSegmentationTest : public cvtest::BaseTest { |
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CV_GpuMeanShiftSegmentationTest() {} |
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void run(int) |
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{ |
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bool cc12_ok = TargetArchs::builtWith(FEATURE_SET_COMPUTE_12) && DeviceInfo().supports(FEATURE_SET_COMPUTE_12); |
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if (!cc12_ok) |
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{ |
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ts->printf(cvtest::TS::CONSOLE, "\nCompute capability 1.2 is required"); |
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ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC); |
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return; |
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} |
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Mat img_rgb = imread(string(ts->get_data_path()) + "meanshift/cones.png"); |
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if (img_rgb.empty()) |
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{ |
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA); |
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return; |
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} |
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Mat img; |
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cvtColor(img_rgb, img, CV_BGR2BGRA); |
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for (int minsize = 0; minsize < 2000; minsize = (minsize + 1) * 4) |
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{ |
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stringstream path; |
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path << ts->get_data_path() << "meanshift/cones_segmented_sp10_sr10_minsize" << minsize; |
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if (TargetArchs::builtWith(FEATURE_SET_COMPUTE_20) && DeviceInfo().supports(FEATURE_SET_COMPUTE_20)) |
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path << ".png"; |
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else |
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path << "_CC1X.png"; |
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Mat dst; |
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meanShiftSegmentation((GpuMat)img, dst, 10, 10, minsize); |
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Mat dst_rgb; |
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cvtColor(dst, dst_rgb, CV_BGRA2BGR); |
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//imwrite(path.str(), dst_rgb); |
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Mat dst_ref = imread(path.str()); |
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if (dst_ref.empty()) |
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{ |
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA); |
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return; |
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} |
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if (CheckSimilarity(dst_rgb, dst_ref, 1e-3f) != cvtest::TS::OK) |
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{ |
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ts->printf(cvtest::TS::LOG, "\ndiffers from image *minsize%d.png\n", minsize); |
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY); |
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} |
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} |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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int CheckSimilarity(const Mat& m1, const Mat& m2, float max_err) |
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{ |
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Mat diff; |
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cv::matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED); |
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float err = abs(diff.at<float>(0, 0) - 1.f); |
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if (err > max_err) |
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return cvtest::TS::FAIL_INVALID_OUTPUT; |
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return cvtest::TS::OK; |
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} |
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}; |
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TEST(meanShiftSegmentation, regression) { CV_GpuMeanShiftSegmentationTest test; test.safe_run(); }
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