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Open Source Computer Vision Library
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138 lines
4.9 KiB
138 lines
4.9 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) 2010-2012, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, 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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// @Authors |
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// Peng Xiao, pengxiao@multicorewareinc.com |
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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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#include "opencv2/ts/ocl_test.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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//////////////////////////////////////////////////////// |
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// Canny |
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IMPLEMENT_PARAM_CLASS(ApertureSize, int) |
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IMPLEMENT_PARAM_CLASS(L2gradient, bool) |
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IMPLEMENT_PARAM_CLASS(UseRoi, bool) |
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PARAM_TEST_CASE(Canny, Channels, ApertureSize, L2gradient, UseRoi) |
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{ |
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int cn, aperture_size; |
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bool useL2gradient, use_roi; |
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TEST_DECLARE_INPUT_PARAMETER(src); |
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TEST_DECLARE_OUTPUT_PARAMETER(dst); |
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virtual void SetUp() |
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{ |
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cn = GET_PARAM(0); |
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aperture_size = GET_PARAM(1); |
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useL2gradient = GET_PARAM(2); |
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use_roi = GET_PARAM(3); |
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} |
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void generateTestData() |
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{ |
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Mat img = readImageType("shared/fruits.png", CV_8UC(cn)); |
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ASSERT_FALSE(img.empty()) << "cann't load shared/fruits.png"; |
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Size roiSize = img.size(); |
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int type = img.type(); |
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, roiSize, srcBorder, type, 2, 100); |
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img.copyTo(src_roi); |
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16); |
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UMAT_UPLOAD_INPUT_PARAMETER(src); |
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst); |
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} |
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}; |
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OCL_TEST_P(Canny, Accuracy) |
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{ |
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generateTestData(); |
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const double low_thresh = 50.0, high_thresh = 100.0; |
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double eps = 0.03; |
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OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient)); |
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OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, aperture_size, useL2gradient)); |
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EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps); |
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EXPECT_MAT_SIMILAR(dst, udst, eps); |
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} |
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OCL_TEST_P(Canny, AccuracyCustomGradient) |
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{ |
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generateTestData(); |
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const double low_thresh = 50.0, high_thresh = 100.0; |
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double eps = 0.03; |
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OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient)); |
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OCL_ON( |
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UMat dx, dy; |
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Sobel(usrc_roi, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); |
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Sobel(usrc_roi, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); |
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cv::Canny(dx, dy, udst_roi, low_thresh, high_thresh, useL2gradient); |
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); |
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EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps); |
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EXPECT_MAT_SIMILAR(dst, udst, eps); |
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} |
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OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine( |
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testing::Values(1, 3), |
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testing::Values(ApertureSize(3), ApertureSize(5)), |
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testing::Values(L2gradient(false), L2gradient(true)), |
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testing::Values(UseRoi(false), UseRoi(true)))); |
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} } // namespace cvtest::ocl |
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#endif // HAVE_OPENCL
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