// Copyright (c) 2022, ETH Zurich and UNC Chapel Hill. // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // // * Redistributions 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. // // * Neither the name of ETH Zurich and UNC Chapel Hill nor the names of // its contributors may 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 COPYRIGHT HOLDERS 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. // // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de) #define TEST_NAME "feature/utils" #include "util/testing.h" #include "feature/utils.h" using namespace colmap; BOOST_AUTO_TEST_CASE(TestFeatureKeypointsToPointsVector) { FeatureKeypoints keypoints(2); keypoints[1].x = 0.1; keypoints[1].y = 0.2; const std::vector points = FeatureKeypointsToPointsVector(keypoints); BOOST_CHECK_EQUAL(points[0], Eigen::Vector2d(0, 0)); BOOST_CHECK_EQUAL(points[1].cast(), Eigen::Vector2f(0.1, 0.2)); } BOOST_AUTO_TEST_CASE(TestL2NormalizeFeatureDescriptors) { Eigen::MatrixXf descriptors = Eigen::MatrixXf::Random(100, 128); descriptors.array() += 1.0f; const Eigen::MatrixXf descriptors_normalized = L2NormalizeFeatureDescriptors(descriptors); for (Eigen::MatrixXf::Index r = 0; r < descriptors.rows(); ++r) { BOOST_CHECK(std::abs(descriptors_normalized.row(r).norm() - 1.0f) < 1e-6); } } BOOST_AUTO_TEST_CASE(TestL1RootNormalizeFeatureDescriptors) { Eigen::MatrixXf descriptors = Eigen::MatrixXf::Random(100, 128); descriptors.array() += 1.0f; const Eigen::MatrixXf descriptors_normalized = L1RootNormalizeFeatureDescriptors(descriptors); for (Eigen::MatrixXf::Index r = 0; r < descriptors.rows(); ++r) { BOOST_CHECK(std::abs(descriptors_normalized.row(r).norm() - 1.0f) < 1e-6); } } BOOST_AUTO_TEST_CASE(TestFeatureDescriptorsToUnsignedByte) { Eigen::MatrixXf descriptors = Eigen::MatrixXf::Random(100, 128); descriptors.array() += 1.0f; const FeatureDescriptors descriptors_uint8 = FeatureDescriptorsToUnsignedByte(descriptors); for (Eigen::MatrixXf::Index r = 0; r < descriptors.rows(); ++r) { for (Eigen::MatrixXf::Index c = 0; c < descriptors.cols(); ++c) { BOOST_CHECK_EQUAL(static_cast(std::min( 255.0f, std::round(512.0f * descriptors(r, c)))), descriptors_uint8(r, c)); } } } BOOST_AUTO_TEST_CASE(TestExtractTopScaleFeatures) { FeatureKeypoints keypoints(5); keypoints[0].Rescale(3); keypoints[1].Rescale(4); keypoints[2].Rescale(1); keypoints[3].Rescale(5); keypoints[4].Rescale(2); const FeatureDescriptors descriptors = FeatureDescriptors::Random(5, 128); auto top_keypoints2 = keypoints; auto top_descriptors2 = descriptors; ExtractTopScaleFeatures(&top_keypoints2, &top_descriptors2, 2); BOOST_CHECK_EQUAL(top_keypoints2.size(), 2); BOOST_CHECK_EQUAL(top_keypoints2[0].ComputeScale(), keypoints[3].ComputeScale()); BOOST_CHECK_EQUAL(top_keypoints2[1].ComputeScale(), keypoints[1].ComputeScale()); BOOST_CHECK_EQUAL(top_descriptors2.rows(), 2); BOOST_CHECK_EQUAL(top_descriptors2.row(0), descriptors.row(3)); BOOST_CHECK_EQUAL(top_descriptors2.row(1), descriptors.row(1)); auto top_keypoints5 = keypoints; auto top_descriptors5 = descriptors; ExtractTopScaleFeatures(&top_keypoints5, &top_descriptors5, 5); BOOST_CHECK_EQUAL(top_keypoints5.size(), 5); BOOST_CHECK_EQUAL(top_descriptors5.rows(), 5); BOOST_CHECK_EQUAL(top_descriptors5, descriptors); auto top_keypoints6 = keypoints; auto top_descriptors6 = descriptors; ExtractTopScaleFeatures(&top_keypoints6, &top_descriptors6, 6); BOOST_CHECK_EQUAL(top_keypoints5.size(), 5); BOOST_CHECK_EQUAL(top_descriptors6.rows(), 5); BOOST_CHECK_EQUAL(top_descriptors6, descriptors); }