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- /*M///////////////////////////////////////////////////////////////////////////////////////
- //
- // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
- //
- // By downloading, copying, installing or using the software you agree to this license.
- // If you do not agree to this license, do not download, install,
- // copy or use the software.
- //
- //
- // Intel License Agreement
- // For Open Source Computer Vision Library
- //
- // Copyright (C) 2000, Intel Corporation, all rights reserved.
- // Third party copyrights are property of their respective owners.
- //
- // Redistribution and use in source and binary forms, with or without modification,
- // are permitted provided that the following conditions are met:
- //
- // * Redistribution's of source code must retain the above copyright notice,
- // this list of conditions and the following disclaimer.
- //
- // * Redistribution's in binary form must reproduce the above copyright notice,
- // this list of conditions and the following disclaimer in the documentation
- // and/or other materials provided with the distribution.
- //
- // * The name of Intel Corporation may not be used to endorse or promote products
- // derived from this software without specific prior written permission.
- //
- // This software is provided by the copyright holders and contributors "as is" and
- // any express or implied warranties, including, but not limited to, the implied
- // warranties of merchantability and fitness for a particular purpose are disclaimed.
- // In no event shall the Intel Corporation or contributors be liable for any direct,
- // indirect, incidental, special, exemplary, or consequential damages
- // (including, but not limited to, procurement of substitute goods or services;
- // loss of use, data, or profits; or business interruption) however caused
- // and on any theory of liability, whether in contract, strict liability,
- // or tort (including negligence or otherwise) arising in any way out of
- // the use of this software, even if advised of the possibility of such damage.
- //
- //M*/
- #include "test_precomp.hpp"
- #include "opencv2/core/core_c.h"
- namespace opencv_test { namespace {
- class CV_UndistortPointsBadArgTest : public cvtest::BadArgTest
- {
- public:
- CV_UndistortPointsBadArgTest();
- protected:
- void run(int);
- void run_func();
- private:
- //common
- cv::Size img_size;
- //static const int N_POINTS = 1;
- static const int N_POINTS2 = 2;
- //C++
- cv::Mat camera_mat;
- cv::Mat R;
- cv::Mat P;
- cv::Mat distortion_coeffs;
- cv::Mat src_points;
- std::vector<cv::Point2f> dst_points;
- };
- CV_UndistortPointsBadArgTest::CV_UndistortPointsBadArgTest ()
- {
- }
- void CV_UndistortPointsBadArgTest::run_func()
- {
- cv::undistortPoints(src_points,dst_points,camera_mat,distortion_coeffs,R,P);
- }
- void CV_UndistortPointsBadArgTest::run(int)
- {
- //RNG& rng = ts->get_rng();
- int errcount = 0;
- //initializing
- img_size.width = 800;
- img_size.height = 600;
- 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};
- double dist[4] = {0.01,0.02,0.001,0.0005};
- double s_points[N_POINTS2] = {
- static_cast<double>(img_size.width) / 4.0,
- static_cast<double>(img_size.height) / 4.0,
- };
- 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};
- double r[9] = {1,0,0,0,1,0,0,0,1};
- CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam);
- CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist);
- CvMat _P_orig = cvMat(3,3,CV_64F,p);
- CvMat _R_orig = cvMat(3,3,CV_64F,r);
- CvMat _src_points_orig = cvMat(1,4,CV_64FC2,s_points);
- camera_mat = cv::cvarrToMat(&_camera_mat_orig);
- distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
- P = cv::cvarrToMat(&_P_orig);
- R = cv::cvarrToMat(&_R_orig);
- src_points = cv::cvarrToMat(&_src_points_orig);
- src_points.create(2, 2, CV_32FC2);
- errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" );
- src_points = cv::cvarrToMat(&_src_points_orig);
- src_points.create(1, 4, CV_64FC2);
- errcount += run_test_case( CV_StsAssert, "Invalid input data matrix type" );
- src_points = cv::cvarrToMat(&_src_points_orig);
- src_points = cv::Mat();
- errcount += run_test_case( CV_StsBadArg, "Input data matrix is not continuous" );
- src_points = cv::cvarrToMat(&_src_points_orig);
- //------------
- ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK);
- }
- //=========
- class CV_InitUndistortRectifyMapBadArgTest : public cvtest::BadArgTest
- {
- public:
- CV_InitUndistortRectifyMapBadArgTest();
- protected:
- void run(int);
- void run_func();
- private:
- cv::Size img_size;
- cv::Mat camera_mat;
- cv::Mat R;
- cv::Mat new_camera_mat;
- cv::Mat distortion_coeffs;
- cv::Mat mapx;
- cv::Mat mapy;
- int mat_type;
- };
- CV_InitUndistortRectifyMapBadArgTest::CV_InitUndistortRectifyMapBadArgTest ()
- {
- }
- void CV_InitUndistortRectifyMapBadArgTest::run_func()
- {
- cv::initUndistortRectifyMap(camera_mat,distortion_coeffs,R,new_camera_mat,img_size,mat_type,mapx,mapy);
- }
- void CV_InitUndistortRectifyMapBadArgTest::run(int)
- {
- int errcount = 0;
- //initializing
- img_size.width = 800;
- img_size.height = 600;
- 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};
- double dist[4] = {0.01,0.02,0.001,0.0005};
- std::vector<float> arr_mapx(img_size.width*img_size.height);
- std::vector<float> arr_mapy(img_size.width*img_size.height);
- 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};
- double r[9] = {1,0,0,0,1,0,0,0,1};
- CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam);
- CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist);
- CvMat _new_camera_mat_orig = cvMat(3,3,CV_64F,arr_new_camera_mat);
- CvMat _R_orig = cvMat(3,3,CV_64F,r);
- CvMat _mapx_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_mapx[0]);
- CvMat _mapy_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_mapy[0]);
- int mat_type_orig = CV_32FC1;
- camera_mat = cv::cvarrToMat(&_camera_mat_orig);
- distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
- new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig);
- R = cv::cvarrToMat(&_R_orig);
- mapx = cv::cvarrToMat(&_mapx_orig);
- mapy = cv::cvarrToMat(&_mapy_orig);
- mat_type = CV_64F;
- errcount += run_test_case( CV_StsAssert, "Invalid map matrix type" );
- mat_type = mat_type_orig;
- camera_mat.create(3, 2, CV_32F);
- errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" );
- camera_mat = cv::cvarrToMat(&_camera_mat_orig);
- R.create(4, 3, CV_32F);
- errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" );
- R = cv::cvarrToMat(&_R_orig);
- distortion_coeffs.create(6, 1, CV_32F);
- errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" );
- distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
- //------------
- ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK);
- }
- //=========
- class CV_UndistortBadArgTest : public cvtest::BadArgTest
- {
- public:
- CV_UndistortBadArgTest();
- protected:
- void run(int);
- void run_func();
- private:
- //common
- cv::Size img_size;
- cv::Mat camera_mat;
- cv::Mat new_camera_mat;
- cv::Mat distortion_coeffs;
- cv::Mat src;
- cv::Mat dst;
- };
- CV_UndistortBadArgTest::CV_UndistortBadArgTest ()
- {
- }
- void CV_UndistortBadArgTest::run_func()
- {
- cv::undistort(src,dst,camera_mat,distortion_coeffs,new_camera_mat);
- }
- void CV_UndistortBadArgTest::run(int)
- {
- int errcount = 0;
- //initializing
- img_size.width = 800;
- img_size.height = 600;
- 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};
- double dist[4] = {0.01,0.02,0.001,0.0005};
- std::vector<float> arr_src(img_size.width*img_size.height);
- std::vector<float> arr_dst(img_size.width*img_size.height);
- 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};
- CvMat _camera_mat_orig = cvMat(3,3,CV_64F,cam);
- CvMat _distortion_coeffs_orig = cvMat(1,4,CV_64F,dist);
- CvMat _new_camera_mat_orig = cvMat(3,3,CV_64F,arr_new_camera_mat);
- CvMat _src_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_src[0]);
- CvMat _dst_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_dst[0]);
- camera_mat = cv::cvarrToMat(&_camera_mat_orig);
- distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
- new_camera_mat = cv::cvarrToMat(&_new_camera_mat_orig);
- src = cv::cvarrToMat(&_src_orig);
- dst = cv::cvarrToMat(&_dst_orig);
- camera_mat.create(5, 5, CV_64F);
- errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" );
- //------------
- ts->set_failed_test_info(errcount > 0 ? cvtest::TS::FAIL_BAD_ARG_CHECK : cvtest::TS::OK);
- }
- TEST(Calib3d_UndistortPoints, badarg) { CV_UndistortPointsBadArgTest test; test.safe_run(); }
- TEST(Calib3d_InitUndistortRectifyMap, badarg) { CV_InitUndistortRectifyMapBadArgTest test; test.safe_run(); }
- TEST(Calib3d_Undistort, badarg) { CV_UndistortBadArgTest test; test.safe_run(); }
- }} // namespace
- /* End of file. */
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