51 lines
1.5 KiB
C++
51 lines
1.5 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 "test_precomp.hpp"
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#define TEST_CASE_NAME CV_Quality_PSNR
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namespace opencv_test
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{
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namespace quality_test
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{
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const cv::Scalar
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PSNR_EXPECTED_1 = { 14.8347, INFINITY, INFINITY, INFINITY } // matlab: psnr('rock_1.bmp', 'rock_2.bmp') == 14.8347
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, PSNR_EXPECTED_2 = { 28.4542, 27.7402, 27.2886, INFINITY } // matlab: psnr('rubberwhale1.png', 'rubberwhale2.png') == BGR: 28.4542, 27.7402, 27.2886, avg 27.8015
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;
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// static method
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TEST(TEST_CASE_NAME, static_)
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{
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cv::Mat qMat = {};
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quality_expect_near(quality::QualityPSNR::compute(get_testfile_1a(), get_testfile_1a(), qMat), cv::Scalar(INFINITY, INFINITY, INFINITY, INFINITY)); // ref vs ref == inf
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check_quality_map(qMat);
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}
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// single channel, with/without opencl
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TEST(TEST_CASE_NAME, single_channel)
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{
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auto fn = []() { quality_test(quality::QualityPSNR::create(get_testfile_1a()), get_testfile_1b(), PSNR_EXPECTED_1); };
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OCL_OFF( fn() );
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OCL_ON( fn() );
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}
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// multi-channel
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TEST(TEST_CASE_NAME, multi_channel)
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{
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quality_test(quality::QualityPSNR::create(get_testfile_2a()), get_testfile_2b(), PSNR_EXPECTED_2);
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}
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// internal a/b test
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/*
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TEST(TEST_CASE_NAME, performance)
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{
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auto ref = get_testfile_1a();
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auto cmp = get_testfile_1b();
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quality_performance_test("PSNR", [&]() { cv::quality::QualityPSNR::compute(ref, cmp, cv::noArray()); });
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}
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*/
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}
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} // namespace
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