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FastCV extension 3rd Post #3891 Adding FastCV extensions for merge, split, gemm and arithm APIs add, subtract ### 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
73 lines
2.1 KiB
C++
73 lines
2.1 KiB
C++
/*
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* Copyright (c) 2025 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<Size, int> ChannelMergeTestParams;
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class ChannelMergeTest : public ::testing::TestWithParam<ChannelMergeTestParams> {};
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typedef std::tuple<Size, int> ChannelSplitTestParams;
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class ChannelSplitTest : public ::testing::TestWithParam<ChannelSplitTestParams> {};
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TEST_P(ChannelMergeTest, accuracy)
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{
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int depth = CV_8UC1;
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Size sz = std::get<0>(GetParam());
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int count = std::get<1>(GetParam());
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std::vector<Mat> src_mats;
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RNG& rng = cv::theRNG();
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for(int i = 0; i < count; i++)
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{
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Mat tmp(sz, depth);
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src_mats.push_back(tmp);
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cvtest::randUni(rng, src_mats[i], Scalar::all(0), Scalar::all(127));
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}
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Mat dst;
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cv::fastcv::merge(src_mats, dst);
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Mat ref;
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cv::merge(src_mats, ref);
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double normInf = cvtest::norm(ref, dst, cv::NORM_INF);
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EXPECT_EQ(normInf, 0);
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}
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TEST_P(ChannelSplitTest, accuracy)
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{
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Size sz = std::get<0>(GetParam());
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int cn = std::get<1>(GetParam());
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std::vector<Mat> dst_mats(cn), ref_mats(cn);
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RNG& rng = cv::theRNG();
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Mat src(sz, CV_MAKE_TYPE(CV_8U,cn));
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cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(127));
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cv::fastcv::split(src, dst_mats);
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cv::split(src, ref_mats);
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for(int i=0; i<cn; i++)
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{
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double normInf = cvtest::norm(ref_mats[i], dst_mats[i], cv::NORM_INF);
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EXPECT_EQ(normInf, 0);
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}
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}
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INSTANTIATE_TEST_CASE_P(FastCV_Extension, ChannelMergeTest,
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::testing::Combine(::testing::Values(perf::szODD, perf::szVGA, perf::sz720p, perf::sz1080p), // sz
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::testing::Values(2,3,4))); // count
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INSTANTIATE_TEST_CASE_P(FastCV_Extension, ChannelSplitTest,
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::testing::Combine(::testing::Values(perf::szODD, perf::szVGA, perf::sz720p, perf::sz1080p), // sz
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::testing::Values(2,3,4))); // cn
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}} // namespaces opencv_test, ::
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