/*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. // // // Intel License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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" namespace opencv_test { namespace { // // TODO!!!: // check_slice (and/or check) seem(s) to be broken, or this is a bug in function // (or its inability to handle possible self-intersections in the generated contours). // // At least, if // return TotalErrors; // is uncommented in check_slice, the test fails easily. // So, now (and it looks like since 0.9.6) // we only check that the set of vertices of the approximated polygon is // a subset of vertices of the original contour. // //Tests to make sure that unreasonable epsilon (error) //values never get passed to the Douglas-Peucker algorithm. TEST(Imgproc_ApproxPoly, bad_epsilon) { std::vector inputPoints; inputPoints.push_back(Point2f(0.0f, 0.0f)); std::vector outputPoints; double eps = std::numeric_limits::infinity(); ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false)); eps = 9e99; ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false)); eps = -1e-6; ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false)); eps = NAN; ASSERT_ANY_THROW(approxPolyDP(inputPoints, outputPoints, eps, false)); } struct ApproxPolyN: public testing::Test { void SetUp() { vector> inputPoints = { { {87, 103}, {100, 112}, {96, 138}, {80, 169}, {60, 183}, {38, 176}, {41, 145}, {56, 118}, {76, 104} }, { {196, 102}, {205, 118}, {174, 196}, {152, 207}, {102, 194}, {100, 175}, {131, 109} }, { {372, 101}, {377, 119}, {337, 238}, {324, 248}, {240, 229}, {199, 214}, {232, 123}, {245, 103} }, { {463, 86}, {563, 112}, {574, 135}, {596, 221}, {518, 298}, {412, 266}, {385, 164}, {462, 86} } }; Mat image(600, 600, CV_8UC1, Scalar(0)); for (vector& polygon : inputPoints) { polylines(image, { polygon }, true, Scalar(255), 1); } findContours(image, contours, RETR_LIST, CHAIN_APPROX_NONE); } vector> contours; }; TEST_F(ApproxPolyN, accuracyInt) { vector> rightCorners = { { {72, 187}, {37, 176}, {42, 127}, {133, 64} }, { {168, 212}, {92, 192}, {131, 109}, {213, 100} }, { {72, 187}, {37, 176}, {42, 127}, {133, 64} }, { {384, 100}, {333, 251}, {197, 220}, {239, 103} }, { {168, 212}, {92, 192}, {131, 109}, {213, 100} }, { {333, 251}, {197, 220}, {239, 103}, {384, 100} }, { {542, 6}, {596, 221}, {518, 299}, {312, 236} }, { {596, 221}, {518, 299}, {312, 236}, {542, 6} } }; EXPECT_EQ(rightCorners.size(), contours.size()); for (size_t i = 0; i < contours.size(); ++i) { std::vector corners; approxPolyN(contours[i], corners, 4, -1, true); ASSERT_EQ(rightCorners[i], corners ); } } TEST_F(ApproxPolyN, accuracyFloat) { vector> rightCorners = { { {72.f, 187.f}, {37.f, 176.f}, {42.f, 127.f}, {133.f, 64.f} }, { {168.f, 212.f}, {92.f, 192.f}, {131.f, 109.f}, {213.f, 100.f} }, { {72.f, 187.f}, {37.f, 176.f}, {42.f, 127.f}, {133.f, 64.f} }, { {384.f, 100.f}, {333.f, 251.f}, {197.f, 220.f}, {239.f, 103.f} }, { {168.f, 212.f}, {92.f, 192.f}, {131.f, 109.f}, {213.f, 100.f} }, { {333.f, 251.f}, {197.f, 220.f}, {239.f, 103.f}, {384.f, 100.f} }, { {542.f, 6.f}, {596.f, 221.f}, {518.f, 299.f}, {312.f, 236.f} }, { {596.f, 221.f}, {518.f, 299.f}, {312.f, 236.f}, {542.f, 6.f} } }; EXPECT_EQ(rightCorners.size(), contours.size()); for (size_t i = 0; i < contours.size(); ++i) { std::vector corners; approxPolyN(contours[i], corners, 4, -1, true); EXPECT_LT(cvtest::norm(rightCorners[i], corners, NORM_INF), .5f); } } TEST_F(ApproxPolyN, bad_args) { Mat contour(10, 1, CV_32FC2); vector> bad_contours; vector corners; ASSERT_ANY_THROW(approxPolyN(contour, corners, 0)); ASSERT_ANY_THROW(approxPolyN(contour, corners, 3, 0)); ASSERT_ANY_THROW(approxPolyN(bad_contours, corners, 4)); } }} // namespace