vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e
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/*
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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<cv::Size, MatType, int /*iterations*/, float /*epsilon*/, Size /*winSize*/> MeanShiftTestParams;
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class MeanShiftTest : public ::testing::TestWithParam<MeanShiftTestParams> {};
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TEST_P(MeanShiftTest, accuracy)
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{
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auto p = GetParam();
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cv::Size size = std::get<0>(p);
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MatType type = std::get<1>(p);
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int iters = std::get<2>(p);
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float eps = std::get<3>(p);
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Size winSize = std::get<4>(p);
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RNG& rng = cv::theRNG();
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const int nPts = 20;
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Mat ptsMap(size, CV_8UC1, Scalar(255));
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for(size_t i = 0; i < nPts; ++i)
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{
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ptsMap.at<uchar>(rng() % size.height, rng() % size.width) = 0;
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}
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Mat distTrans(size, CV_8UC1);
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cv::distanceTransform(ptsMap, distTrans, DIST_L2, DIST_MASK_PRECISE);
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Mat vsrc = 255 - distTrans;
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Mat src;
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vsrc.convertTo(src, type);
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Point startPt(rng() % (size.width - winSize.width),
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rng() % (size.height - winSize.height));
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Rect startRect(startPt, winSize);
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cv::TermCriteria termCrit( TermCriteria::EPS + TermCriteria::MAX_ITER, iters, eps);
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Rect window = startRect;
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cv::fastcv::meanShift(src, window, termCrit);
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Rect windowRef = startRect;
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cv::meanShift(vsrc, windowRef, termCrit);
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if (cvtest::debugLevel > 0)
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{
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Mat draw;
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cvtColor(vsrc, draw, COLOR_GRAY2RGB);
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cv::rectangle(draw, startRect, Scalar(0, 0, 255));
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cv::rectangle(draw, window, Scalar(255, 255, 0));
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cv::rectangle(draw, windowRef, Scalar(0, 255, 0));
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std::string stype = (type == CV_8U ? "8U" : (type == CV_32S ? "32S" : (type == CV_32F ? "F" : "?")));
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cv::imwrite(cv::format("src_%dx%d_%s_%dit_%feps_%dx%d.png", size.width, size.height, stype.c_str(),
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iters, eps, winSize.width, winSize.height),
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draw);
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}
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cv::Point diff = (window.tl() - windowRef.tl());
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double dist = std::sqrt(diff.ddot(diff));
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EXPECT_LE(dist, 3.0);
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}
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INSTANTIATE_TEST_CASE_P(FastCV_Extension, MeanShiftTest,
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::testing::Combine(::testing::Values(Size(128, 128), Size(640, 480), Size(800, 600)),
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::testing::Values(CV_8U, CV_32S, CV_32F), // type
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::testing::Values(2, 10, 100), // nIterations
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::testing::Values(0.01f, 0.1f, 1.f, 10.f), // epsilon
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::testing::Values(Size(8, 8), Size(13, 48), Size(64, 64)) // window size
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));
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}} // namespaces opencv_test, ::
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