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Open Source Computer Vision Library
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131 lines
4.3 KiB
131 lines
4.3 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) 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 "test_precomp.hpp" |
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#ifdef HAVE_CUDA |
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using namespace cvtest; |
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////////////////////////////////////////////////////// |
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// GoodFeaturesToTrack |
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namespace |
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{ |
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IMPLEMENT_PARAM_CLASS(MinDistance, double) |
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} |
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PARAM_TEST_CASE(GoodFeaturesToTrack, cv::gpu::DeviceInfo, MinDistance) |
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{ |
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cv::gpu::DeviceInfo devInfo; |
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double minDistance; |
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virtual void SetUp() |
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{ |
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devInfo = GET_PARAM(0); |
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minDistance = GET_PARAM(1); |
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cv::gpu::setDevice(devInfo.deviceID()); |
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} |
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}; |
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GPU_TEST_P(GoodFeaturesToTrack, Accuracy) |
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{ |
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cv::Mat image = readImage("opticalflow/frame0.png", cv::IMREAD_GRAYSCALE); |
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ASSERT_FALSE(image.empty()); |
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int maxCorners = 1000; |
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double qualityLevel = 0.01; |
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cv::Ptr<cv::gpu::CornersDetector> detector = cv::gpu::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance); |
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cv::gpu::GpuMat d_pts; |
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detector->detect(loadMat(image), d_pts); |
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ASSERT_FALSE(d_pts.empty()); |
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std::vector<cv::Point2f> pts(d_pts.cols); |
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cv::Mat pts_mat(1, d_pts.cols, CV_32FC2, (void*) &pts[0]); |
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d_pts.download(pts_mat); |
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std::vector<cv::Point2f> pts_gold; |
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cv::goodFeaturesToTrack(image, pts_gold, maxCorners, qualityLevel, minDistance); |
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ASSERT_EQ(pts_gold.size(), pts.size()); |
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size_t mistmatch = 0; |
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for (size_t i = 0; i < pts.size(); ++i) |
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{ |
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cv::Point2i a = pts_gold[i]; |
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cv::Point2i b = pts[i]; |
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bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1; |
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if (!eq) |
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++mistmatch; |
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} |
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double bad_ratio = static_cast<double>(mistmatch) / pts.size(); |
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ASSERT_LE(bad_ratio, 0.01); |
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} |
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GPU_TEST_P(GoodFeaturesToTrack, EmptyCorners) |
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{ |
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int maxCorners = 1000; |
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double qualityLevel = 0.01; |
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cv::gpu::GpuMat src(100, 100, CV_8UC1, cv::Scalar::all(0)); |
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cv::gpu::GpuMat corners(1, maxCorners, CV_32FC2); |
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cv::Ptr<cv::gpu::CornersDetector> detector = cv::gpu::createGoodFeaturesToTrackDetector(src.type(), maxCorners, qualityLevel, minDistance); |
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detector->detect(src, corners); |
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ASSERT_TRUE(corners.empty()); |
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} |
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, GoodFeaturesToTrack, testing::Combine( |
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ALL_DEVICES, |
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testing::Values(MinDistance(0.0), MinDistance(3.0)))); |
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#endif // HAVE_CUDA
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