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Open Source Computer Vision Library
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91 lines
3.1 KiB
91 lines
3.1 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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// Copyright (C) 2014, Itseez, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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#include "../perf_precomp.hpp" |
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#include "opencv2/ts/ocl_perf.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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///////////// HoughLines ////////////////////// |
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struct Vec2fComparator |
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{ |
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bool operator()(const Vec2f& a, const Vec2f b) const |
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{ |
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if(a[0] != b[0]) return a[0] < b[0]; |
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else return a[1] < b[1]; |
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} |
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}; |
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typedef std::tr1::tuple<Size, double, double> ImageSize_RhoStep_ThetaStep_t; |
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typedef TestBaseWithParam<ImageSize_RhoStep_ThetaStep_t> HoughLinesFixture; |
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OCL_PERF_TEST_P(HoughLinesFixture, HoughLines, Combine(OCL_TEST_SIZES, |
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Values( 0.1, 1 ), |
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Values( CV_PI / 180.0, 0.1 ))) |
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{ |
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const Size srcSize = get<0>(GetParam()); |
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double rhoStep = get<1>(GetParam()); |
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double thetaStep = get<2>(GetParam()); |
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int threshold = 250; |
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UMat usrc(srcSize, CV_8UC1), lines(1, 1, CV_32FC2); |
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Mat src(srcSize, CV_8UC1); |
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src.setTo(Scalar::all(0)); |
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line(src, Point(0, 100), Point(src.cols, 100), Scalar::all(255), 1); |
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line(src, Point(0, 200), Point(src.cols, 200), Scalar::all(255), 1); |
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line(src, Point(0, 400), Point(src.cols, 400), Scalar::all(255), 1); |
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line(src, Point(100, 0), Point(100, src.rows), Scalar::all(255), 1); |
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line(src, Point(200, 0), Point(200, src.rows), Scalar::all(255), 1); |
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line(src, Point(400, 0), Point(400, src.rows), Scalar::all(255), 1); |
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src.copyTo(usrc); |
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declare.in(usrc).out(lines); |
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OCL_TEST_CYCLE() cv::HoughLines(usrc, lines, rhoStep, thetaStep, threshold); |
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Mat result; |
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lines.copyTo(result); |
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std::sort(result.begin<Vec2f>(), result.end<Vec2f>(), Vec2fComparator()); |
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SANITY_CHECK(result, 1e-6); |
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} |
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///////////// HoughLinesP ///////////////////// |
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typedef std::tr1::tuple<string, double, double> Image_RhoStep_ThetaStep_t; |
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typedef TestBaseWithParam<Image_RhoStep_ThetaStep_t> HoughLinesPFixture; |
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OCL_PERF_TEST_P(HoughLinesPFixture, HoughLinesP, Combine(Values("cv/shared/pic5.png", "stitching/a1.png"), |
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Values( 0.1, 1 ), |
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Values( CV_PI / 180.0, 0.1 ))) |
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{ |
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string filename = get<0>(GetParam()); |
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double rhoStep = get<1>(GetParam()); |
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double thetaStep = get<2>(GetParam()); |
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int threshold = 100; |
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double minLineLength = 50, maxGap = 5; |
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Mat image = imread(getDataPath(filename), IMREAD_GRAYSCALE); |
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Canny(image, image, 50, 200, 3); |
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UMat usrc, lines(1, 1, CV_32SC4); |
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image.copyTo(usrc); |
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declare.in(usrc).out(lines); |
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OCL_TEST_CYCLE() cv::HoughLinesP(usrc, lines, rhoStep, thetaStep, threshold, minLineLength, maxGap); |
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EXPECT_NE((int) lines.total(), 0); |
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SANITY_CHECK_NOTHING(); |
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} |
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} } // namespace cvtest::ocl |
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#endif // HAVE_OPENCL
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