150 lines
6.2 KiB
C++
150 lines
6.2 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include <opencv2/structured_light/graycodepattern.hpp>
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#include <opencv2/structured_light/sinusoidalpattern.hpp>
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namespace opencv_test { namespace {
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const string STRUCTURED_LIGHT_DIR = "structured_light";
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const string FOLDER_DATA = "data";
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TEST( SinusoidalPattern, unwrapPhaseMap )
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{
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string folder = cvtest::TS::ptr()->get_data_path() + "/" + STRUCTURED_LIGHT_DIR + "/" + FOLDER_DATA + "/";
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Ptr<structured_light::SinusoidalPattern::Params> paramsPsp, paramsFtp, paramsFaps;
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paramsPsp = makePtr<structured_light::SinusoidalPattern::Params>();
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paramsFtp = makePtr<structured_light::SinusoidalPattern::Params>();
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paramsFaps = makePtr<structured_light::SinusoidalPattern::Params>();
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paramsFtp->methodId = 0;
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paramsPsp->methodId = 1;
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paramsFaps->methodId = 2;
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Ptr<structured_light::SinusoidalPattern> sinusPsp = structured_light::SinusoidalPattern::create(paramsPsp);
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Ptr<structured_light::SinusoidalPattern> sinusFtp = structured_light::SinusoidalPattern::create(paramsFtp);
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Ptr<structured_light::SinusoidalPattern> sinusFaps = structured_light::SinusoidalPattern::create(paramsFaps);
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vector<Mat> captures(3);
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Mat unwrappedPhaseMapPspRef, unwrappedPhaseMapFtpRef, unwrappedPhaseMapFapsRef;
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Mat shadowMask;
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Mat wrappedPhaseMap, unwrappedPhaseMap, unwrappedPhaseMap8;
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captures[0] = imread(folder + "capture_sin_0.jpg", IMREAD_GRAYSCALE);
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captures[1] = imread(folder + "capture_sin_1.jpg", IMREAD_GRAYSCALE);
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captures[2] = imread(folder + "capture_sin_2.jpg", IMREAD_GRAYSCALE);
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unwrappedPhaseMapPspRef = imread(folder + "unwrappedPspTest.jpg", IMREAD_GRAYSCALE);
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unwrappedPhaseMapFtpRef = imread(folder + "unwrappedFtpTest.jpg", IMREAD_GRAYSCALE);
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unwrappedPhaseMapFapsRef = imread(folder + "unwrappedFapsTest.jpg", IMREAD_GRAYSCALE);
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if( !captures[0].data || !captures[1].data || !captures[2].data || !unwrappedPhaseMapFapsRef.data
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|| !unwrappedPhaseMapFtpRef.data || !unwrappedPhaseMapPspRef.data )
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{
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cerr << "invalid test data" << endl;
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}
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sinusPsp->computePhaseMap(captures, wrappedPhaseMap, shadowMask);
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sinusPsp->unwrapPhaseMap(wrappedPhaseMap, unwrappedPhaseMap, Size(captures[0].cols, captures[1].rows), shadowMask);
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unwrappedPhaseMap.convertTo(unwrappedPhaseMap8, CV_8U, 1, 128);
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int sumOfDiff = 0;
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int count = 0;
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float ratio = 0;
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for( int i = 0; i < unwrappedPhaseMap8.rows; ++i )
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{
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for( int j = 0; j < unwrappedPhaseMap8.cols; ++j )
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{
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int ref = unwrappedPhaseMapPspRef.at<uchar>(i, j);
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int comp = unwrappedPhaseMap8.at<uchar>(i, j);
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sumOfDiff += (ref - comp);
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count ++;
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}
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}
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ratio = (float)(sumOfDiff / count);
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EXPECT_LE( ratio, 0.003 );
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sinusFtp->computePhaseMap(captures, wrappedPhaseMap, shadowMask);
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sinusFtp->unwrapPhaseMap(wrappedPhaseMap, unwrappedPhaseMap, Size(captures[0].cols, captures[1].rows), shadowMask);
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unwrappedPhaseMap.convertTo(unwrappedPhaseMap8, CV_8U, 1, 128);
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sumOfDiff = 0;
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count = 0;
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ratio = 0;
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for( int i = 0; i < unwrappedPhaseMap8.rows; ++i )
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{
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for( int j = 0; j < unwrappedPhaseMap8.cols; ++j )
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{
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int ref = unwrappedPhaseMapFtpRef.at<uchar>(i, j);
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int comp = unwrappedPhaseMap8.at<uchar>(i, j);
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sumOfDiff += (ref - comp);
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count ++;
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}
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}
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ratio = (float)(sumOfDiff / count);
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EXPECT_LE( ratio, 0.003 );
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sinusFaps->computePhaseMap(captures, wrappedPhaseMap, shadowMask);
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sinusFaps->unwrapPhaseMap(wrappedPhaseMap, unwrappedPhaseMap, Size(captures[0].cols, captures[1].rows), shadowMask);
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unwrappedPhaseMap.convertTo(unwrappedPhaseMap8, CV_8U, 1, 128);
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sumOfDiff = 0;
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count = 0;
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ratio = 0;
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for( int i = 0; i < unwrappedPhaseMap8.rows; ++i )
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{
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for( int j = 0; j < unwrappedPhaseMap8.cols; ++j )
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{
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int ref = unwrappedPhaseMapFapsRef.at<uchar>(i, j);
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int comp = unwrappedPhaseMap8.at<uchar>(i, j);
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sumOfDiff += (ref - comp);
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count ++;
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}
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}
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ratio = (float)(sumOfDiff / count);
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EXPECT_LE( ratio, 0.003 );
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}
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}} // namespace
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