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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
90 lines
2.3 KiB
C++
90 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 "perf_precomp.hpp"
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namespace opencv_test {
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typedef tuple<cv::Size /*imgSize*/, int /*nPts*/, int /*channels*/> FillConvexPerfParams;
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typedef perf::TestBaseWithParam<FillConvexPerfParams> FillConvexPerfTest;
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PERF_TEST_P(FillConvexPerfTest, randomDraw, Combine(
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testing::Values(Size(640, 480), Size(512, 512), Size(1920, 1080)),
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testing::Values(4, 64, 1024),
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testing::Values(1, 2, 3, 4)
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))
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{
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auto p = GetParam();
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Size imgSize = std::get<0>(p);
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int nPts = std::get<1>(p);
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int channels = std::get<2>(p);
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cv::RNG rng = cv::theRNG();
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std::vector<Point> allPts, contour;
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for (int i = 0; i < nPts; i++)
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{
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allPts.push_back(Point(rng() % imgSize.width, rng() % imgSize.height));
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}
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cv::convexHull(allPts, contour);
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Scalar color(rng() % 256, rng() % 256, rng() % 256);
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Mat img(imgSize, CV_MAKE_TYPE(CV_8U, channels), Scalar(0));
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while(next())
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{
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img = 0;
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startTimer();
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cv::fastcv::fillConvexPoly(img, contour, color);
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stopTimer();
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}
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SANITY_CHECK_NOTHING();
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}
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PERF_TEST_P(FillConvexPerfTest, circle, Combine(
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testing::Values(Size(640, 480), Size(512, 512), Size(1920, 1080)),
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testing::Values(4, 64, 1024),
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testing::Values(1, 2, 3, 4)
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))
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{
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auto p = GetParam();
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Size imgSize = std::get<0>(p);
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int nPts = std::get<1>(p);
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int channels = std::get<2>(p);
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cv::RNG rng = cv::theRNG();
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float r = std::min(imgSize.width, imgSize.height) / 2 * 0.9f;
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float angle = CV_PI * 2.0f / (float)nPts;
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std::vector<Point2i> contour;
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for (int i = 0; i < nPts; i++)
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{
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Point2f pt(r * cos((float)i * angle),
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r * sin((float)i * angle));
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contour.push_back({ imgSize.width / 2 + int(pt.x),
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imgSize.height / 2 + int(pt.y)});
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}
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Scalar color(rng() % 256, rng() % 256, rng() % 256);
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Mat img(imgSize, CV_MAKE_TYPE(CV_8U, channels), Scalar(0));
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while(next())
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{
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img = 0;
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startTimer();
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cv::fastcv::fillConvexPoly(img, contour, color);
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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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