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8cbdd0c833
C-API cleanup: apps, imgproc_c and some constants #25075 Merge with https://github.com/opencv/opencv_contrib/pull/3642 * Removed obsolete apps - traincascade and createsamples (please use older OpenCV versions if you need them). These apps relied heavily on C-API * removed all mentions of imgproc C-API headers (imgproc_c.h, types_c.h) - they were empty, included core C-API headers * replaced usage of several C constants with C++ ones (error codes, norm modes, RNG modes, PCA modes, ...) - most part of this PR (split into two parts - all modules and calib+3d - for easier backporting) * removed imgproc C-API headers (as separate commit, so that other changes could be backported to 4.x) Most of these changes can be backported to 4.x.
271 lines
9.4 KiB
C++
271 lines
9.4 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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// 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/core/core_c.h"
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namespace opencv_test { namespace {
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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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//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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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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}
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void CV_UndistortPointsBadArgTest::run_func()
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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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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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//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] = {
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static_cast<double>(img_size.width) / 4.0,
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static_cast<double>(img_size.height) / 4.0,
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};
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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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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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src_points.create(2, 2, CV_32FC2);
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errcount += run_test_case( cv::Error::StsAssert, "Invalid input data matrix size" );
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src_points = cv::cvarrToMat(&_src_points_orig);
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src_points.create(1, 4, CV_64FC2);
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errcount += run_test_case( cv::Error::StsAssert, "Invalid input data matrix type" );
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src_points = cv::cvarrToMat(&_src_points_orig);
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src_points = cv::Mat();
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errcount += run_test_case( cv::Error::StsBadArg, "Input data matrix is not continuous" );
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src_points = cv::cvarrToMat(&_src_points_orig);
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//------------
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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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cv::Size img_size;
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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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}
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void CV_InitUndistortRectifyMapBadArgTest::run_func()
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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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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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std::vector<float> arr_mapx(img_size.width*img_size.height);
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std::vector<float> arr_mapy(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[0]);
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CvMat _mapy_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_mapy[0]);
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int mat_type_orig = CV_32FC1;
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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::Error::StsAssert, "Invalid map matrix type" );
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mat_type = mat_type_orig;
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camera_mat.create(3, 2, CV_32F);
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errcount += run_test_case( cv::Error::StsAssert, "Invalid camera data matrix size" );
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camera_mat = cv::cvarrToMat(&_camera_mat_orig);
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R.create(4, 3, CV_32F);
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errcount += run_test_case( cv::Error::StsAssert, "Invalid R data matrix size" );
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R = cv::cvarrToMat(&_R_orig);
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distortion_coeffs.create(6, 1, CV_32F);
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errcount += run_test_case( cv::Error::StsAssert, "Invalid distortion coefficients data matrix size" );
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distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig);
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//------------
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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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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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}
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void CV_UndistortBadArgTest::run_func()
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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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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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std::vector<float> arr_src(img_size.width*img_size.height);
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std::vector<float> arr_dst(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[0]);
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CvMat _dst_orig = cvMat(img_size.height,img_size.width,CV_32FC1,&arr_dst[0]);
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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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camera_mat.create(5, 5, CV_64F);
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errcount += run_test_case( cv::Error::StsAssert, "Invalid camera data matrix size" );
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//------------
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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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}} // namespace
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/* End of file. */
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