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Alex Wu
30fffe2fa0
hal/riscv-rvv: implement laplacian #28887 OpenCV Extra: https://github.com/opencv/opencv_extra/pull/1353 An implementation of laplacian for riscv-rvv hal Added benchmark in perf_laplacian.cpp The performance is evaluated on K1 by running ./opencv_perf_imgproc --gtest_filter="Perf_Laplacian*" Results are attached in the figure below. CV_8U fast path supports ksize=3 with BORDER_CONSTANT/BORDER_REPLICATE; unsupported combinations fall back to default implementation. See performance results bellow. ### 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 - [x] 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
40 lines
1.2 KiB
C++
40 lines
1.2 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "perf_precomp.hpp"
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namespace opencv_test {
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CV_ENUM(BorderMode, BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101)
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CV_ENUM(TargetDepth, CV_8U, CV_16S)
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typedef tuple<Size, int, TargetDepth, BorderMode> LaplacianParams;
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typedef perf::TestBaseWithParam<LaplacianParams> Perf_Laplacian;
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PERF_TEST_P(Perf_Laplacian, Laplacian,
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testing::Combine(
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testing::Values(szVGA, sz720p, sz1080p),
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testing::Values(1, 3, 5), // ksize: 1, 3, 5
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TargetDepth::all(), // CV_8U and CV_16S
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BorderMode::all()
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))
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{
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Size sz = get<0>(GetParam());
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int ksize = get<1>(GetParam());
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int ddepth = get<2>(GetParam());
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int borderMode = get<3>(GetParam());
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Mat src(sz, CV_8UC1);
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Mat dst(sz, ddepth == CV_16S ? CV_16SC1 : CV_8UC1);
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declare.in(src, WARMUP_RNG).out(dst);
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TEST_CYCLE()
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{
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cv::Laplacian(src, dst, ddepth, ksize, 1.0, 0.0, borderMode);
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}
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SANITY_CHECK(dst);
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}
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} // namespace opencv_test
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