102 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			102 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /*M///////////////////////////////////////////////////////////////////////////////////////
 | |
| //
 | |
| //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 | |
| //
 | |
| //  By downloading, copying, installing or using the software you agree to this license.
 | |
| //  If you do not agree to this license, do not download, install,
 | |
| //  copy or use the software.
 | |
| //
 | |
| //
 | |
| //                           License Agreement
 | |
| //                For Open Source Computer Vision Library
 | |
| //
 | |
| // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
 | |
| // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
 | |
| // Third party copyrights are property of their respective owners.
 | |
| //
 | |
| // Redistribution and use in source and binary forms, with or without modification,
 | |
| // are permitted provided that the following conditions are met:
 | |
| //
 | |
| //   * Redistribution's of source code must retain the above copyright notice,
 | |
| //     this list of conditions and the following disclaimer.
 | |
| //
 | |
| //   * Redistribution's in binary form must reproduce the above copyright notice,
 | |
| //     this list of conditions and the following disclaimer in the documentation
 | |
| //     and/or other materials provided with the distribution.
 | |
| //
 | |
| //   * The name of the copyright holders may not be used to endorse or promote products
 | |
| //     derived from this software without specific prior written permission.
 | |
| //
 | |
| // This software is provided by the copyright holders and contributors "as is" and
 | |
| // any express or implied warranties, including, but not limited to, the implied
 | |
| // warranties of merchantability and fitness for a particular purpose are disclaimed.
 | |
| // In no event shall the Intel Corporation or contributors be liable for any direct,
 | |
| // indirect, incidental, special, exemplary, or consequential damages
 | |
| // (including, but not limited to, procurement of substitute goods or services;
 | |
| // loss of use, data, or profits; or business interruption) however caused
 | |
| // and on any theory of liability, whether in contract, strict liability,
 | |
| // or tort (including negligence or otherwise) arising in any way out of
 | |
| // the use of this software, even if advised of the possibility of such damage.
 | |
| //
 | |
| //M*/
 | |
| 
 | |
| #include "test_precomp.hpp"
 | |
| 
 | |
| #ifdef HAVE_CUDA
 | |
| 
 | |
| using namespace cvtest;
 | |
| 
 | |
| ////////////////////////////////////////////////////////
 | |
| // Canny
 | |
| 
 | |
| namespace
 | |
| {
 | |
|     IMPLEMENT_PARAM_CLASS(AppertureSize, int)
 | |
|     IMPLEMENT_PARAM_CLASS(L2gradient, bool)
 | |
| }
 | |
| 
 | |
| PARAM_TEST_CASE(Canny, cv::cuda::DeviceInfo, AppertureSize, L2gradient, UseRoi)
 | |
| {
 | |
|     cv::cuda::DeviceInfo devInfo;
 | |
|     int apperture_size;
 | |
|     bool useL2gradient;
 | |
|     bool useRoi;
 | |
| 
 | |
|     virtual void SetUp()
 | |
|     {
 | |
|         devInfo = GET_PARAM(0);
 | |
|         apperture_size = GET_PARAM(1);
 | |
|         useL2gradient = GET_PARAM(2);
 | |
|         useRoi = GET_PARAM(3);
 | |
| 
 | |
|         cv::cuda::setDevice(devInfo.deviceID());
 | |
|     }
 | |
| };
 | |
| 
 | |
| CUDA_TEST_P(Canny, Accuracy)
 | |
| {
 | |
|     cv::Mat img = readImage("stereobm/aloe-L.png", cv::IMREAD_GRAYSCALE);
 | |
|     ASSERT_FALSE(img.empty());
 | |
| 
 | |
|     double low_thresh = 50.0;
 | |
|     double high_thresh = 100.0;
 | |
| 
 | |
|     cv::Ptr<cv::cuda::CannyEdgeDetector> canny = cv::cuda::createCannyEdgeDetector(low_thresh, high_thresh, apperture_size, useL2gradient);
 | |
| 
 | |
|     cv::cuda::GpuMat edges;
 | |
|     canny->detect(loadMat(img, useRoi), edges);
 | |
| 
 | |
|     cv::Mat edges_gold;
 | |
|     cv::Canny(img, edges_gold, low_thresh, high_thresh, apperture_size, useL2gradient);
 | |
| 
 | |
|     EXPECT_MAT_SIMILAR(edges_gold, edges, 2e-2);
 | |
| }
 | |
| 
 | |
| INSTANTIATE_TEST_CASE_P(CUDA_ImgProc, Canny, testing::Combine(
 | |
|     ALL_DEVICES,
 | |
|     testing::Values(AppertureSize(3), AppertureSize(5)),
 | |
|     testing::Values(L2gradient(false), L2gradient(true)),
 | |
|     WHOLE_SUBMAT));
 | |
| 
 | |
| #endif // HAVE_CUDA
 | 
