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Open Source Computer Vision Library
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525 lines
16 KiB
525 lines
16 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 "opencv2/imgproc/imgproc_c.h" |
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class CV_UndistortPointsBadArgTest : public cvtest::BadArgTest |
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{ |
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public: |
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CV_UndistortPointsBadArgTest(); |
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protected: |
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void run(int); |
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void run_func(); |
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private: |
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//common |
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cv::Size img_size; |
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bool useCPlus; |
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//static const int N_POINTS = 1; |
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static const int N_POINTS2 = 2; |
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//C |
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CvMat* _camera_mat; |
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CvMat* matR; |
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CvMat* matP; |
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CvMat* _distortion_coeffs; |
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CvMat* _src_points; |
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CvMat* _dst_points; |
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//C++ |
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cv::Mat camera_mat; |
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cv::Mat R; |
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cv::Mat P; |
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cv::Mat distortion_coeffs; |
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cv::Mat src_points; |
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std::vector<cv::Point2f> dst_points; |
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}; |
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CV_UndistortPointsBadArgTest::CV_UndistortPointsBadArgTest () |
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{ |
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useCPlus = false; |
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_camera_mat = matR = matP = _distortion_coeffs = _src_points = _dst_points = NULL; |
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} |
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void CV_UndistortPointsBadArgTest::run_func() |
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{ |
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if (useCPlus) |
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{ |
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cv::undistortPoints(src_points,dst_points,camera_mat,distortion_coeffs,R,P); |
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} |
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else |
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{ |
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cvUndistortPoints(_src_points,_dst_points,_camera_mat,_distortion_coeffs,matR,matP); |
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} |
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} |
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void CV_UndistortPointsBadArgTest::run(int) |
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{ |
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//RNG& rng = ts->get_rng(); |
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int errcount = 0; |
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useCPlus = false; |
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//initializing |
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img_size.width = 800; |
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img_size.height = 600; |
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double cam[9] = {150.f, 0.f, img_size.width/2.f, 0, 300.f, img_size.height/2.f, 0.f, 0.f, 1.f}; |
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double dist[4] = {0.01,0.02,0.001,0.0005}; |
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double s_points[N_POINTS2] = {img_size.width/4,img_size.height/4}; |
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double d_points[N_POINTS2]; |
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double p[9] = {155.f, 0.f, img_size.width/2.f+img_size.width/50.f, 0, 310.f, img_size.height/2.f+img_size.height/50.f, 0.f, 0.f, 1.f}; |
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double r[9] = {1,0,0,0,1,0,0,0,1}; |
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CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam); |
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CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist); |
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CvMat _P_orig = cvMat(3,3,CV_64F,p); |
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CvMat _R_orig = cvMat(3,3,CV_64F,r); |
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CvMat _src_points_orig = cvMat(1,4,CV_64FC2,s_points); |
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CvMat _dst_points_orig = cvMat(1,4,CV_64FC2,d_points); |
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_camera_mat = &_camera_mat_orig; |
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_distortion_coeffs = &_distortion_coeffs_orig; |
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matP = &_P_orig; |
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matR = &_R_orig; |
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_src_points = &_src_points_orig; |
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_dst_points = &_dst_points_orig; |
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//tests |
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CvMat* temp1; |
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CvMat* temp; |
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IplImage* temp_img = cvCreateImage(cvSize(img_size.width,img_size.height),8,3); |
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//----------- |
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temp = (CvMat*)temp_img; |
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_src_points = temp; |
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errcount += run_test_case( CV_StsAssert, "Input data is not CvMat*" ); |
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_src_points = &_src_points_orig; |
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temp = (CvMat*)temp_img; |
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_dst_points = temp; |
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errcount += run_test_case( CV_StsAssert, "Output data is not CvMat*" ); |
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_dst_points = &_dst_points_orig; |
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temp = cvCreateMat(2,3,CV_64F); |
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_src_points = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" ); |
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_src_points = &_src_points_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(2,3,CV_64F); |
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_dst_points = temp; |
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errcount += run_test_case(CV_StsAssert, "Invalid output data matrix size" ); |
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_dst_points = &_dst_points_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(1,3,CV_64F); |
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temp1 = cvCreateMat(4,1,CV_64F); |
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_dst_points = temp; |
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_src_points = temp1; |
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errcount += run_test_case(CV_StsAssert, "Output and input data sizes mismatch" ); |
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_dst_points = &_dst_points_orig; |
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_src_points = &_src_points_orig; |
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cvReleaseMat(&temp); |
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cvReleaseMat(&temp1); |
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temp = cvCreateMat(1,3,CV_32S); |
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_dst_points = temp; |
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errcount += run_test_case(CV_StsAssert, "Invalid output data matrix type" ); |
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_dst_points = &_dst_points_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(1,3,CV_32S); |
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_src_points = temp; |
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errcount += run_test_case(CV_StsAssert, "Invalid input data matrix type" ); |
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_src_points = &_src_points_orig; |
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cvReleaseMat(&temp); |
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//------------ |
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temp = cvCreateMat(2,3,CV_64F); |
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_camera_mat = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); |
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_camera_mat = &_camera_mat_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(3,4,CV_64F); |
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_camera_mat = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); |
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_camera_mat = &_camera_mat_orig; |
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cvReleaseMat(&temp); |
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temp = (CvMat*)temp_img; |
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_camera_mat = temp; |
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errcount += run_test_case( CV_StsAssert, "Camera data is not CvMat*" ); |
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_camera_mat = &_camera_mat_orig; |
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//---------- |
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temp = (CvMat*)temp_img; |
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_distortion_coeffs = temp; |
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errcount += run_test_case( CV_StsAssert, "Distortion coefficients data is not CvMat*" ); |
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_distortion_coeffs = &_distortion_coeffs_orig; |
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temp = cvCreateMat(1,6,CV_64F); |
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_distortion_coeffs = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); |
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_distortion_coeffs = &_distortion_coeffs_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(3,3,CV_64F); |
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_distortion_coeffs = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); |
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_distortion_coeffs = &_distortion_coeffs_orig; |
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cvReleaseMat(&temp); |
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//---------- |
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temp = (CvMat*)temp_img; |
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matR = temp; |
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errcount += run_test_case( CV_StsAssert, "R data is not CvMat*" ); |
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matR = &_R_orig; |
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temp = cvCreateMat(4,3,CV_64F); |
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matR = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); |
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matR = &_R_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(3,2,CV_64F); |
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matR = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); |
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matR = &_R_orig; |
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cvReleaseMat(&temp); |
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//----------- |
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temp = (CvMat*)temp_img; |
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matP = temp; |
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errcount += run_test_case( CV_StsAssert, "P data is not CvMat*" ); |
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matP = &_P_orig; |
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temp = cvCreateMat(4,3,CV_64F); |
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matP = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid P data matrix size" ); |
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matP = &_P_orig; |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(3,2,CV_64F); |
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matP = temp; |
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errcount += run_test_case( CV_StsAssert, "Invalid P data matrix size" ); |
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matP = &_P_orig; |
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cvReleaseMat(&temp); |
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//------------ |
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//C++ tests |
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useCPlus = true; |
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camera_mat = cv::cvarrToMat(&_camera_mat_orig); |
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distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); |
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P = cv::cvarrToMat(&_P_orig); |
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R = cv::cvarrToMat(&_R_orig); |
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src_points = cv::cvarrToMat(&_src_points_orig); |
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temp = cvCreateMat(2,2,CV_32FC2); |
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src_points = cv::cvarrToMat(temp); |
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errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" ); |
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src_points = cv::cvarrToMat(&_src_points_orig); |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(1,4,CV_64FC2); |
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src_points = cv::cvarrToMat(temp); |
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errcount += run_test_case( CV_StsAssert, "Invalid input data matrix type" ); |
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src_points = cv::cvarrToMat(&_src_points_orig); |
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cvReleaseMat(&temp); |
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src_points = cv::Mat(); |
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errcount += run_test_case( CV_StsAssert, "Input data matrix is not continuous" ); |
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src_points = cv::cvarrToMat(&_src_points_orig); |
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cvReleaseMat(&temp); |
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//------------ |
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cvReleaseImage(&temp_img); |
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ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK); |
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} |
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//========= |
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class CV_InitUndistortRectifyMapBadArgTest : public cvtest::BadArgTest |
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{ |
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public: |
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CV_InitUndistortRectifyMapBadArgTest(); |
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protected: |
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void run(int); |
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void run_func(); |
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private: |
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//common |
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cv::Size img_size; |
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bool useCPlus; |
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//C |
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CvMat* _camera_mat; |
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CvMat* matR; |
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CvMat* _new_camera_mat; |
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CvMat* _distortion_coeffs; |
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CvMat* _mapx; |
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CvMat* _mapy; |
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//C++ |
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cv::Mat camera_mat; |
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cv::Mat R; |
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cv::Mat new_camera_mat; |
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cv::Mat distortion_coeffs; |
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cv::Mat mapx; |
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cv::Mat mapy; |
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int mat_type; |
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}; |
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CV_InitUndistortRectifyMapBadArgTest::CV_InitUndistortRectifyMapBadArgTest () |
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{ |
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useCPlus = false; |
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_camera_mat = matR = _new_camera_mat = _distortion_coeffs = _mapx = _mapy = NULL; |
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} |
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void CV_InitUndistortRectifyMapBadArgTest::run_func() |
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{ |
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if (useCPlus) |
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{ |
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cv::initUndistortRectifyMap(camera_mat,distortion_coeffs,R,new_camera_mat,img_size,mat_type,mapx,mapy); |
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} |
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else |
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{ |
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cvInitUndistortRectifyMap(_camera_mat,_distortion_coeffs,matR,_new_camera_mat,_mapx,_mapy); |
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} |
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} |
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void CV_InitUndistortRectifyMapBadArgTest::run(int) |
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{ |
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int errcount = 0; |
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//initializing |
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img_size.width = 800; |
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img_size.height = 600; |
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double cam[9] = {150.f, 0.f, img_size.width/2.f, 0, 300.f, img_size.height/2.f, 0.f, 0.f, 1.f}; |
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double dist[4] = {0.01,0.02,0.001,0.0005}; |
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float* arr_mapx = new float[img_size.width*img_size.height]; |
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float* arr_mapy = new float[img_size.width*img_size.height]; |
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double arr_new_camera_mat[9] = {155.f, 0.f, img_size.width/2.f+img_size.width/50.f, 0, 310.f, img_size.height/2.f+img_size.height/50.f, 0.f, 0.f, 1.f}; |
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double r[9] = {1,0,0,0,1,0,0,0,1}; |
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CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam); |
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CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist); |
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CvMat _new_camera_mat_orig = cvMat(3,3,CV_64F,arr_new_camera_mat); |
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CvMat _R_orig = cvMat(3,3,CV_64F,r); |
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CvMat _mapx_orig = cvMat(img_size.height,img_size.width,CV_32FC1,arr_mapx); |
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CvMat _mapy_orig = cvMat(img_size.height,img_size.width,CV_32FC1,arr_mapy); |
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int mat_type_orig = CV_32FC1; |
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_camera_mat = &_camera_mat_orig; |
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_distortion_coeffs = &_distortion_coeffs_orig; |
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_new_camera_mat = &_new_camera_mat_orig; |
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matR = &_R_orig; |
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_mapx = &_mapx_orig; |
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_mapy = &_mapy_orig; |
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mat_type = mat_type_orig; |
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//tests |
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useCPlus = true; |
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CvMat* temp; |
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//C++ tests |
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useCPlus = true; |
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camera_mat = cv::cvarrToMat(&_camera_mat_orig); |
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distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); |
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new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig); |
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R = cv::cvarrToMat(&_R_orig); |
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mapx = cv::cvarrToMat(&_mapx_orig); |
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mapy = cv::cvarrToMat(&_mapy_orig); |
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mat_type = CV_64F; |
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errcount += run_test_case( CV_StsAssert, "Invalid map matrix type" ); |
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mat_type = mat_type_orig; |
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temp = cvCreateMat(3,2,CV_32FC1); |
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camera_mat = cv::cvarrToMat(temp); |
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errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); |
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camera_mat = cv::cvarrToMat(&_camera_mat_orig); |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(4,3,CV_32FC1); |
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R = cv::cvarrToMat(temp); |
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errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); |
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R = cv::cvarrToMat(&_R_orig); |
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cvReleaseMat(&temp); |
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temp = cvCreateMat(6,1,CV_32FC1); |
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distortion_coeffs = cv::cvarrToMat(temp); |
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errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); |
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distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); |
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cvReleaseMat(&temp); |
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//------------ |
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delete[] arr_mapx; |
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delete[] arr_mapy; |
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ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK); |
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} |
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//========= |
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class CV_UndistortBadArgTest : public cvtest::BadArgTest |
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{ |
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public: |
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CV_UndistortBadArgTest(); |
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protected: |
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void run(int); |
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void run_func(); |
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private: |
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//common |
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cv::Size img_size; |
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bool useCPlus; |
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//C |
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CvMat* _camera_mat; |
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CvMat* _new_camera_mat; |
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CvMat* _distortion_coeffs; |
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CvMat* _src; |
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CvMat* _dst; |
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//C++ |
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cv::Mat camera_mat; |
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cv::Mat new_camera_mat; |
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cv::Mat distortion_coeffs; |
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cv::Mat src; |
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cv::Mat dst; |
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}; |
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CV_UndistortBadArgTest::CV_UndistortBadArgTest () |
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{ |
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useCPlus = false; |
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_camera_mat = _new_camera_mat = _distortion_coeffs = _src = _dst = NULL; |
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} |
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void CV_UndistortBadArgTest::run_func() |
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{ |
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if (useCPlus) |
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{ |
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cv::undistort(src,dst,camera_mat,distortion_coeffs,new_camera_mat); |
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} |
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else |
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{ |
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cvUndistort2(_src,_dst,_camera_mat,_distortion_coeffs,_new_camera_mat); |
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} |
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} |
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void CV_UndistortBadArgTest::run(int) |
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{ |
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int errcount = 0; |
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//initializing |
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img_size.width = 800; |
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img_size.height = 600; |
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double cam[9] = {150.f, 0.f, img_size.width/2.f, 0, 300.f, img_size.height/2.f, 0.f, 0.f, 1.f}; |
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double dist[4] = {0.01,0.02,0.001,0.0005}; |
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float* arr_src = new float[img_size.width*img_size.height]; |
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float* arr_dst = new float[img_size.width*img_size.height]; |
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double arr_new_camera_mat[9] = {155.f, 0.f, img_size.width/2.f+img_size.width/50.f, 0, 310.f, img_size.height/2.f+img_size.height/50.f, 0.f, 0.f, 1.f}; |
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CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam); |
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CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist); |
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CvMat _new_camera_mat_orig = cvMat(3,3,CV_64F,arr_new_camera_mat); |
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CvMat _src_orig = cvMat(img_size.height,img_size.width,CV_32FC1,arr_src); |
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CvMat _dst_orig = cvMat(img_size.height,img_size.width,CV_32FC1,arr_dst); |
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_camera_mat = &_camera_mat_orig; |
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_distortion_coeffs = &_distortion_coeffs_orig; |
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_new_camera_mat = &_new_camera_mat_orig; |
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_src = &_src_orig; |
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_dst = &_dst_orig; |
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//tests |
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useCPlus = true; |
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CvMat* temp; |
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CvMat* temp1; |
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//C tests |
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useCPlus = false; |
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temp = cvCreateMat(800,600,CV_32F); |
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temp1 = cvCreateMat(800,601,CV_32F); |
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_src = temp; |
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_dst = temp1; |
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errcount += run_test_case( CV_StsAssert, "Input and output data matrix sizes mismatch" ); |
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_src = &_src_orig; |
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_dst = &_dst_orig; |
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cvReleaseMat(&temp); |
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cvReleaseMat(&temp1); |
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temp = cvCreateMat(800,600,CV_32F); |
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temp1 = cvCreateMat(800,600,CV_64F); |
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_src = temp; |
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_dst = temp1; |
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errcount += run_test_case( CV_StsAssert, "Input and output data matrix types mismatch" ); |
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_src = &_src_orig; |
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_dst = &_dst_orig; |
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cvReleaseMat(&temp); |
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cvReleaseMat(&temp1); |
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//C++ tests |
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useCPlus = true; |
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camera_mat = cv::cvarrToMat(&_camera_mat_orig); |
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distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); |
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new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig); |
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src = cv::cvarrToMat(&_src_orig); |
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dst = cv::cvarrToMat(&_dst_orig); |
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//------------ |
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delete[] arr_src; |
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delete[] arr_dst; |
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ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK); |
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} |
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TEST(Calib3d_UndistortPoints, badarg) { CV_UndistortPointsBadArgTest test; test.safe_run(); } |
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TEST(Calib3d_InitUndistortRectifyMap, badarg) { CV_InitUndistortRectifyMapBadArgTest test; test.safe_run(); } |
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TEST(Calib3d_Undistort, badarg) { CV_UndistortBadArgTest test; test.safe_run(); } |
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/* End of file. */
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