132 lines
		
	
	
		
			4.3 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			132 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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| //                           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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| 
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| #include "test_precomp.hpp"
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| 
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| #ifdef HAVE_CUDA
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| 
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| using namespace cvtest;
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| 
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| //////////////////////////////////////////////////////
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| // GoodFeaturesToTrack
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| 
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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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| 
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| PARAM_TEST_CASE(GoodFeaturesToTrack, cv::cuda::DeviceInfo, MinDistance)
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| {
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|     cv::cuda::DeviceInfo devInfo;
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|     double minDistance;
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| 
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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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| 
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|         cv::cuda::setDevice(devInfo.deviceID());
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|     }
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| };
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| 
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| CUDA_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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| 
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|     int maxCorners = 1000;
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|     double qualityLevel = 0.01;
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| 
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|     cv::Ptr<cv::cuda::CornersDetector> detector = cv::cuda::createGoodFeaturesToTrackDetector(image.type(), maxCorners, qualityLevel, minDistance);
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| 
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|     cv::cuda::GpuMat d_pts;
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|     detector->detect(loadMat(image), d_pts);
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| 
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|     ASSERT_FALSE(d_pts.empty());
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| 
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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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| 
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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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| 
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|     ASSERT_EQ(pts_gold.size(), pts.size());
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| 
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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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| 
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|         bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
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| 
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|         if (!eq)
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|             ++mistmatch;
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|     }
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| 
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|     double bad_ratio = static_cast<double>(mistmatch) / pts.size();
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| 
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|     ASSERT_LE(bad_ratio, 0.01);
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| }
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| 
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| CUDA_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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| 
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|     cv::cuda::GpuMat src(100, 100, CV_8UC1, cv::Scalar::all(0));
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|     cv::cuda::GpuMat corners(1, maxCorners, CV_32FC2);
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| 
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|     cv::Ptr<cv::cuda::CornersDetector> detector = cv::cuda::createGoodFeaturesToTrackDetector(src.type(), maxCorners, qualityLevel, minDistance);
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| 
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|     detector->detect(src, corners);
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| 
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|     ASSERT_TRUE(corners.empty());
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| }
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| 
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| INSTANTIATE_TEST_CASE_P(CUDA_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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| 
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| #endif // HAVE_CUDA
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