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397 lines
12 KiB
397 lines
12 KiB
/*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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// Intel License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000, Intel Corporation, 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 Intel Corporation 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 "test_chessboardgenerator.hpp" |
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#include "opencv2/core/types_c.h" |
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namespace opencv_test { namespace { |
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class CV_CameraCalibrationBadArgTest : public cvtest::BadArgTest |
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{ |
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public: |
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CV_CameraCalibrationBadArgTest() {} |
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~CV_CameraCalibrationBadArgTest() {} |
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protected: |
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void run(int); |
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void run_func(void) {} |
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struct C_Caller |
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{ |
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_InputArray imgPts_arg; |
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_InputArray objPts_arg; |
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_OutputArray rvecs_arg; |
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_OutputArray tvecs_arg; |
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_OutputArray newObjPts_arg; |
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_InputOutputArray cameraMatrix_arg; |
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_InputOutputArray distCoeffs_arg; |
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std::vector<std::vector<Point2f> > imgPts; |
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std::vector<std::vector<Point3f> > objPts; |
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Size imageSize0, imageSize; |
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int iFixedPoint0, iFixedPoint; |
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Mat cameraMatrix; |
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Mat distCoeffs; |
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std::vector<Mat> rvecs; |
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std::vector<Mat> tvecs; |
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std::vector<Point3f> newObjPts; |
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int flags0, flags; |
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void initArgs() |
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{ |
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imgPts_arg = imgPts; |
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objPts_arg = objPts; |
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rvecs_arg = rvecs; |
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tvecs_arg = tvecs; |
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newObjPts_arg = newObjPts; |
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cameraMatrix_arg = cameraMatrix; |
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distCoeffs_arg = distCoeffs; |
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imageSize = imageSize0; |
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flags = flags0; |
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iFixedPoint = iFixedPoint0; |
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} |
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void operator()() const |
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{ |
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calibrateCameraRO(objPts_arg, imgPts_arg, imageSize, iFixedPoint, |
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cameraMatrix_arg, distCoeffs_arg, rvecs_arg, tvecs_arg, |
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newObjPts_arg, flags); |
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} |
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}; |
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}; |
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void CV_CameraCalibrationBadArgTest::run( int /* start_from */ ) |
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{ |
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const int M = 2; |
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Size imgSize(800, 600); |
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Mat_<float> camMat(3, 3); |
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Mat_<float> distCoeffs0(1, 5); |
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camMat << 300.f, 0.f, imgSize.width/2.f, 0, 300.f, imgSize.height/2.f, 0.f, 0.f, 1.f; |
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distCoeffs0 << 1.2f, 0.2f, 0.f, 0.f, 0.f; |
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ChessBoardGenerator cbg(Size(8,6)); |
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Size corSize = cbg.cornersSize(); |
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vector<Point2f> corners; |
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cbg(Mat(imgSize, CV_8U, Scalar(0)), camMat, distCoeffs0, corners); |
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C_Caller caller; |
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caller.imageSize0 = imgSize; |
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caller.iFixedPoint0 = -1; |
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caller.flags0 = 0; |
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///////////////////////////// |
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Mat cameraMatrix_cpp; |
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Mat distCoeffs_cpp; |
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Mat rvecs_cpp; |
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Mat tvecs_cpp; |
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Mat newObjPts_cpp; |
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std::vector<Point3f> objPts_cpp; |
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for(int y = 0; y < corSize.height; ++y) |
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for(int x = 0; x < corSize.width; ++x) |
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objPts_cpp.push_back(Point3f((float)x, (float)y, 0.f)); |
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caller.objPts.resize(M); |
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caller.imgPts.resize(M); |
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for(int i = 0; i < M; i++) |
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{ |
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caller.objPts[i] = objPts_cpp; |
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caller.imgPts[i] = corners; |
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} |
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caller.cameraMatrix.create(3, 3, CV_32F); |
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caller.distCoeffs.create(5, 1, CV_32F); |
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caller.rvecs.clear(); |
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caller.tvecs.clear(); |
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caller.newObjPts.clear(); |
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/* /*//*/ */ |
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int errors = 0; |
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caller.initArgs(); |
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caller.objPts_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "None passed in objPts", caller); |
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caller.initArgs(); |
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caller.imgPts_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "None passed in imgPts", caller ); |
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caller.initArgs(); |
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caller.cameraMatrix_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero passed in cameraMatrix", caller ); |
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caller.initArgs(); |
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caller.distCoeffs_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero passed in distCoeffs", caller ); |
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caller.initArgs(); |
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caller.imageSize.width = -1; |
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errors += run_test_case( cv::Error::StsOutOfRange, "Bad image width", caller ); |
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caller.initArgs(); |
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caller.imageSize.height = -1; |
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errors += run_test_case( cv::Error::StsOutOfRange, "Bad image height", caller ); |
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caller.initArgs(); |
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caller.imgPts[0].clear(); |
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errors += run_test_case( cv::Error::StsBadSize, "Bad imgpts[0]", caller ); |
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caller.imgPts[0] = caller.imgPts[1]; |
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caller.initArgs(); |
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caller.objPts[1].clear(); |
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errors += run_test_case( cv::Error::StsBadSize, "Bad objpts[1]", caller ); |
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caller.objPts[1] = caller.objPts[0]; |
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caller.initArgs(); |
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Mat badCM = Mat::zeros(4, 4, CV_64F); |
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caller.cameraMatrix_arg = badCM; |
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caller.flags = CALIB_USE_INTRINSIC_GUESS; |
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errors += run_test_case( cv::Error::StsBadArg, "Bad camearaMatrix header", caller ); |
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caller.initArgs(); |
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Mat badDC = Mat::zeros(10, 10, CV_64F); |
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caller.distCoeffs_arg = badDC; |
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caller.flags = CALIB_USE_INTRINSIC_GUESS; |
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errors += run_test_case( cv::Error::StsBadArg, "Bad camearaMatrix header", caller ); |
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if (errors) |
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
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else |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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class CV_Rodrigues2BadArgTest : public cvtest::BadArgTest |
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{ |
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public: |
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CV_Rodrigues2BadArgTest() {} |
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~CV_Rodrigues2BadArgTest() {} |
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protected: |
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void run_func(void) {} |
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struct C_Caller |
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{ |
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_InputArray src_arg; |
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_OutputArray dst_arg, j_arg; |
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Mat src; |
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Mat dst; |
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Mat jacobian; |
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void initArgs() |
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{ |
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src_arg = src; |
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dst_arg = dst; |
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j_arg = jacobian; |
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} |
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void operator()() |
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{ |
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cv::Rodrigues(src_arg, dst_arg, j_arg); |
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} |
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}; |
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void run(int /* start_from */ ) |
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{ |
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Mat src_cpp(3, 1, CV_32F); |
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Mat dst_cpp(3, 3, CV_32F); |
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C_Caller caller; |
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/*/*//*/*/ |
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int errors = 0; |
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caller.initArgs(); |
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caller.src_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Src is empty matrix", caller ); |
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caller.initArgs(); |
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caller.src = Mat::zeros(3, 1, CV_8U); |
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errors += run_test_case( cv::Error::StsUnsupportedFormat, "Bad src formart", caller ); |
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caller.initArgs(); |
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caller.src = Mat::zeros(1, 1, CV_32F); |
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errors += run_test_case( cv::Error::StsBadSize, "Bad src size", caller ); |
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if (errors) |
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
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else |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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}; |
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////////////////////////////////////////////////////////////////////////////////// |
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////////////////////////////////////////////////////////////////////////////////// |
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class CV_ProjectPoints2BadArgTest : public cvtest::BadArgTest |
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{ |
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public: |
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CV_ProjectPoints2BadArgTest() : camMat(3, 3), distCoeffs(1, 5) |
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{ |
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Size imsSize(800, 600); |
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camMat << 300.f, 0.f, imsSize.width/2.f, 0, 300.f, imsSize.height/2.f, 0.f, 0.f, 1.f; |
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distCoeffs << 1.2f, 0.2f, 0.f, 0.f, 0.f; |
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} |
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~CV_ProjectPoints2BadArgTest() {} |
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protected: |
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void run_func(void) {} |
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Mat_<float> camMat; |
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Mat_<float> distCoeffs; |
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struct C_Caller |
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{ |
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_InputArray objectPoints_arg, rvec_arg, tvec_arg, A_arg, DC_arg; |
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_OutputArray imagePoints_arg; |
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Mat objectPoints; |
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Mat r_vec; |
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Mat t_vec; |
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Mat A; |
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Mat distCoeffs; |
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Mat imagePoints; |
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Mat J; |
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double aspectRatio0, aspectRatio; |
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void initArgs() |
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{ |
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objectPoints_arg = objectPoints; |
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imagePoints_arg = imagePoints; |
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rvec_arg = r_vec; |
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tvec_arg = t_vec; |
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A_arg = A; |
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DC_arg = distCoeffs; |
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aspectRatio = aspectRatio0; |
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} |
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void operator()() |
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{ |
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projectPoints(objectPoints_arg, rvec_arg, tvec_arg, A_arg, DC_arg, |
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imagePoints_arg, J, aspectRatio ); |
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} |
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}; |
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void run(int /* start_from */ ) |
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{ |
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C_Caller caller; |
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const int n = 10; |
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Mat objectPoints_cpp(1, n, CV_32FC3); |
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randu(objectPoints_cpp, Scalar::all(1), Scalar::all(10)); |
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caller.objectPoints = objectPoints_cpp; |
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caller.t_vec = Mat::zeros(1, 3, CV_32F); |
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Rodrigues(Mat::eye(3, 3, CV_32F), caller.r_vec); |
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caller.A = Mat::eye(3, 3, CV_32F); |
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caller.distCoeffs = Mat::zeros(1, 5, CV_32F); |
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caller.aspectRatio0 = 1.0; |
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/********************/ |
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int errors = 0; |
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caller.initArgs(); |
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caller.objectPoints_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero objectPoints", caller ); |
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caller.initArgs(); |
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caller.rvec_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero r_vec", caller ); |
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caller.initArgs(); |
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caller.tvec_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero t_vec", caller ); |
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caller.initArgs(); |
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caller.A_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero camMat", caller ); |
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caller.initArgs(); |
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caller.imagePoints_arg = noArray(); |
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errors += run_test_case( cv::Error::StsBadArg, "Zero imagePoints", caller ); |
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Mat save_rvec = caller.r_vec; |
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caller.initArgs(); |
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caller.r_vec.create(2, 2, CV_32F); |
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errors += run_test_case( cv::Error::StsBadArg, "Bad rvec format", caller ); |
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caller.initArgs(); |
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caller.r_vec.create(1, 3, CV_8U); |
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errors += run_test_case( cv::Error::StsBadArg, "Bad rvec format", caller ); |
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caller.r_vec = save_rvec; |
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/****************************/ |
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Mat save_tvec = caller.t_vec; |
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caller.initArgs(); |
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caller.t_vec.create(3, 3, CV_32F); |
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errors += run_test_case( cv::Error::StsBadArg, "Bad tvec format", caller ); |
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caller.initArgs(); |
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caller.t_vec.create(1, 3, CV_8U); |
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errors += run_test_case( cv::Error::StsBadArg, "Bad tvec format", caller ); |
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caller.t_vec = save_tvec; |
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/****************************/ |
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Mat save_A = caller.A; |
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caller.initArgs(); |
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caller.A.create(2, 2, CV_32F); |
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errors += run_test_case( cv::Error::StsBadArg, "Bad A format", caller ); |
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caller.A = save_A; |
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/****************************/ |
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Mat save_DC = caller.distCoeffs; |
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caller.initArgs(); |
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caller.distCoeffs.create(3, 3, CV_32F); |
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errors += run_test_case( cv::Error::StsBadArg, "Bad distCoeffs format", caller ); |
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caller.distCoeffs = save_DC; |
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if (errors) |
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH); |
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else |
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ts->set_failed_test_info(cvtest::TS::OK); |
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} |
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}; |
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TEST(Calib3d_CalibrateCamera_CPP, badarg) { CV_CameraCalibrationBadArgTest test; test.safe_run(); } |
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TEST(Calib3d_Rodrigues_CPP, badarg) { CV_Rodrigues2BadArgTest test; test.safe_run(); } |
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TEST(Calib3d_ProjectPoints_CPP, badarg) { CV_ProjectPoints2BadArgTest test; test.safe_run(); } |
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}} // namespace
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