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67815e94c8
FastCV Extension code for OpenCV 2ndpost-1 #3844 Depends on: [opencv/opencv#26617](https://github.com/opencv/opencv/pull/26617) Requires binary from [opencv/opencv_3rdparty#90](https://github.com/opencv/opencv_3rdparty/pull/90) ### 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
81 lines
2.1 KiB
C++
81 lines
2.1 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 "test_precomp.hpp"
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namespace opencv_test { namespace {
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class DCTExtTest : public ::testing::TestWithParam<cv::Size> {};
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TEST_P(DCTExtTest, forward)
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{
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Size size = GetParam();
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RNG& rng = cv::theRNG();
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Mat src(size, CV_8UC1);
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cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(255));
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Mat srcFloat;
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src.convertTo(srcFloat, CV_32F);
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Mat dst, ref;
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cv::fastcv::DCT(src, dst);
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cv::dct(srcFloat, ref);
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Mat dstFloat;
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ref.convertTo(dstFloat, CV_32F);
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double normInf = cvtest::norm(dstFloat, ref, cv::NORM_INF);
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double normL2 = cvtest::norm(dstFloat, ref, cv::NORM_L2) / dst.size().area();
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if (cvtest::debugLevel > 0)
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{
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std::cout << "dst:" << std::endl << dst << std::endl;
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std::cout << "ref:" << std::endl << ref << std::endl;
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}
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EXPECT_EQ(normInf, 0);
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EXPECT_EQ(normL2, 0);
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}
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TEST_P(DCTExtTest, inverse)
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{
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Size size = GetParam();
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RNG& rng = cv::theRNG();
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Mat src(size, CV_8UC1);
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cvtest::randUni(rng, src, Scalar::all(0), Scalar::all(256));
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Mat srcFloat;
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src.convertTo(srcFloat, CV_32F);
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Mat fwd, back;
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cv::fastcv::DCT(src, fwd);
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cv::fastcv::IDCT(fwd, back);
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Mat backFloat;
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back.convertTo(backFloat, CV_32F);
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Mat fwdRef, backRef;
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cv::dct(srcFloat, fwdRef);
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cv::idct(fwdRef, backRef);
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double normInf = cvtest::norm(backFloat, backRef, cv::NORM_INF);
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double normL2 = cvtest::norm(backFloat, backRef, cv::NORM_L2) / src.size().area();
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if (cvtest::debugLevel > 0)
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{
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std::cout << "src:" << std::endl << src << std::endl;
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std::cout << "back:" << std::endl << back << std::endl;
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std::cout << "backRef:" << std::endl << backRef << std::endl;
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}
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EXPECT_LE(normInf, 7.00005);
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EXPECT_LT(normL2, 0.13);
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}
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INSTANTIATE_TEST_CASE_P(FastCV_Extension, DCTExtTest, ::testing::Values(Size(8, 8), Size(128, 128), Size(32, 256), Size(512, 512)));
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}} // namespaces opencv_test, ::
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