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2c7591c57f
Depends on https://github.com/opencv/opencv/pull/26316 ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
66 lines
2.3 KiB
C++
66 lines
2.3 KiB
C++
/*
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* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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typedef std::tuple<bool /*useScores*/, int /*barrier*/, int /*border*/, bool /*nmsEnabled*/> Fast10TestParams;
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class Fast10Test : public ::testing::TestWithParam<Fast10TestParams> {};
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TEST_P(Fast10Test, accuracy)
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{
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auto p = GetParam();
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bool useScores = std::get<0>(p);
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int barrier = std::get<1>(p);
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int border = std::get<2>(p);
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bool nmsEnabled = std::get<3>(p);
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cv::Mat src = imread(cvtest::findDataFile("cv/shared/baboon.png"), cv::IMREAD_GRAYSCALE);
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std::vector<int> coords, scores;
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cv::fastcv::FAST10(src, noArray(), coords, useScores ? scores : noArray(), barrier, border, nmsEnabled);
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std::vector<KeyPoint> ocvKeypoints;
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int thresh = barrier;
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cv::FAST(src, ocvKeypoints, thresh, nmsEnabled, FastFeatureDetector::DetectorType::TYPE_9_16 );
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if (useScores)
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{
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ASSERT_EQ(scores.size() * 2, coords.size());
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}
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Mat ptsMap(src.size(), CV_8U, Scalar(255));
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for(size_t i = 0; i < coords.size() / 2; ++i)
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{
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ptsMap.at<uchar>(coords[2*i + 1], coords[2*i + 0]) = 0;
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}
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Mat distTrans(src.size(), CV_8U);
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cv::distanceTransform(ptsMap, distTrans, DIST_L2, DIST_MASK_PRECISE);
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Mat refPtsMap(src.size(), CV_8U, Scalar(255));
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for(size_t i = 0; i < ocvKeypoints.size(); ++i)
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{
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refPtsMap.at<uchar>(ocvKeypoints[i].pt) = 0;
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}
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Mat refDistTrans(src.size(), CV_8U);
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cv::distanceTransform(refPtsMap, refDistTrans, DIST_L2, DIST_MASK_PRECISE);
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double normInf = cvtest::norm(refDistTrans, distTrans, cv::NORM_INF);
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double normL2 = cvtest::norm(refDistTrans, distTrans, cv::NORM_L2) / src.size().area();
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EXPECT_LT(normInf, 129.7);
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EXPECT_LT(normL2, 0.067);
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}
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INSTANTIATE_TEST_CASE_P(FastCV_Extension, Fast10Test,
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::testing::Combine(::testing::Bool(), // useScores
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::testing::Values(10, 30, 50), // barrier
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::testing::Values( 4, 10, 32), // border
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::testing::Bool() // nonmax suppression
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));
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}} // namespaces opencv_test, ::
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