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 "perf_precomp.hpp"
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namespace opencv_test {
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// we use such nested structure to combine test values
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typedef std::tuple< std::tuple<bool /* useBboxes */, bool /* useContourData */>,
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int /* numNeighbors */, std::string /*file path*/> MSERPerfParams;
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typedef perf::TestBaseWithParam<MSERPerfParams> MSERPerfTest;
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PERF_TEST_P(MSERPerfTest, run,
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::testing::Combine(::testing::Values(std::tuple<bool, bool> { true, false},
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std::tuple<bool, bool> {false, false},
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std::tuple<bool, bool> { true, true}
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), // useBboxes, useContourData
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::testing::Values(4, 8), // numNeighbors
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::testing::Values("cv/shared/baboon.png", "cv/mser/puzzle.png")
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)
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)
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{
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auto p = GetParam();
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bool useBboxes = std::get<0>(std::get<0>(p));
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bool useContourData = std::get<1>(std::get<0>(p));
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int numNeighbors = std::get<1>(p); // 4 or 8
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std::string imgPath = std::get<2>(p);
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cv::Mat src = imread(cvtest::findDataFile(imgPath), cv::IMREAD_GRAYSCALE);
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uint32_t delta = 2;
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uint32_t minArea = 256;
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uint32_t maxArea = (int)src.total()/4;
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float maxVariation = 0.15f;
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float minDiversity = 0.2f;
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cv::Ptr<cv::fastcv::FCVMSER> mser;
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mser = cv::fastcv::FCVMSER::create(src.size(), numNeighbors, delta, minArea, maxArea,
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maxVariation, minDiversity);
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while(next())
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{
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std::vector<std::vector<Point>> contours;
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std::vector<cv::Rect> bboxes;
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std::vector<cv::fastcv::FCVMSER::ContourData> contourData;
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startTimer();
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if (useBboxes)
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{
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if (useContourData)
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{
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mser->detect(src, contours, bboxes, contourData);
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}
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else
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{
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mser->detect(src, contours, bboxes);
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}
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}
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else
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{
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mser->detect(src, contours);
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}
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stopTimer();
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}
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SANITY_CHECK_NOTHING();
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}
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} // namespace
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