mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
531 lines
16 KiB
531 lines
16 KiB
/*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/calib3d/calib3d_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; |
|
bool useCPlus; |
|
//static const int N_POINTS = 1; |
|
static const int N_POINTS2 = 2; |
|
|
|
//C |
|
CvMat* _camera_mat; |
|
CvMat* matR; |
|
CvMat* matP; |
|
CvMat* _distortion_coeffs; |
|
CvMat* _src_points; |
|
CvMat* _dst_points; |
|
|
|
|
|
//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 () |
|
{ |
|
useCPlus = false; |
|
_camera_mat = matR = matP = _distortion_coeffs = _src_points = _dst_points = NULL; |
|
} |
|
|
|
void CV_UndistortPointsBadArgTest::run_func() |
|
{ |
|
if (useCPlus) |
|
{ |
|
cv::undistortPoints(src_points,dst_points,camera_mat,distortion_coeffs,R,P); |
|
} |
|
else |
|
{ |
|
cvUndistortPoints(_src_points,_dst_points,_camera_mat,_distortion_coeffs,matR,matP); |
|
} |
|
} |
|
|
|
void CV_UndistortPointsBadArgTest::run(int) |
|
{ |
|
//RNG& rng = ts->get_rng(); |
|
int errcount = 0; |
|
useCPlus = false; |
|
//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 d_points[N_POINTS2]; |
|
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); |
|
CvMat _dst_points_orig = cvMat(1,4,CV_64FC2,d_points); |
|
|
|
_camera_mat = &_camera_mat_orig; |
|
_distortion_coeffs = &_distortion_coeffs_orig; |
|
matP = &_P_orig; |
|
matR = &_R_orig; |
|
_src_points = &_src_points_orig; |
|
_dst_points = &_dst_points_orig; |
|
|
|
//tests |
|
CvMat* temp1; |
|
CvMat* temp; |
|
IplImage* temp_img = cvCreateImage(cvSize(img_size.width,img_size.height),8,3); |
|
|
|
//----------- |
|
temp = (CvMat*)temp_img; |
|
_src_points = temp; |
|
errcount += run_test_case( CV_StsAssert, "Input data is not CvMat*" ); |
|
_src_points = &_src_points_orig; |
|
|
|
temp = (CvMat*)temp_img; |
|
_dst_points = temp; |
|
errcount += run_test_case( CV_StsAssert, "Output data is not CvMat*" ); |
|
_dst_points = &_dst_points_orig; |
|
|
|
temp = cvCreateMat(2,3,CV_64F); |
|
_src_points = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" ); |
|
_src_points = &_src_points_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(2,3,CV_64F); |
|
_dst_points = temp; |
|
errcount += run_test_case(CV_StsAssert, "Invalid output data matrix size" ); |
|
_dst_points = &_dst_points_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(1,3,CV_64F); |
|
temp1 = cvCreateMat(4,1,CV_64F); |
|
_dst_points = temp; |
|
_src_points = temp1; |
|
errcount += run_test_case(CV_StsAssert, "Output and input data sizes mismatch" ); |
|
_dst_points = &_dst_points_orig; |
|
_src_points = &_src_points_orig; |
|
cvReleaseMat(&temp); |
|
cvReleaseMat(&temp1); |
|
|
|
temp = cvCreateMat(1,3,CV_32S); |
|
_dst_points = temp; |
|
errcount += run_test_case(CV_StsAssert, "Invalid output data matrix type" ); |
|
_dst_points = &_dst_points_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(1,3,CV_32S); |
|
_src_points = temp; |
|
errcount += run_test_case(CV_StsAssert, "Invalid input data matrix type" ); |
|
_src_points = &_src_points_orig; |
|
cvReleaseMat(&temp); |
|
//------------ |
|
temp = cvCreateMat(2,3,CV_64F); |
|
_camera_mat = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); |
|
_camera_mat = &_camera_mat_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(3,4,CV_64F); |
|
_camera_mat = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); |
|
_camera_mat = &_camera_mat_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = (CvMat*)temp_img; |
|
_camera_mat = temp; |
|
errcount += run_test_case( CV_StsAssert, "Camera data is not CvMat*" ); |
|
_camera_mat = &_camera_mat_orig; |
|
//---------- |
|
|
|
temp = (CvMat*)temp_img; |
|
_distortion_coeffs = temp; |
|
errcount += run_test_case( CV_StsAssert, "Distortion coefficients data is not CvMat*" ); |
|
_distortion_coeffs = &_distortion_coeffs_orig; |
|
|
|
temp = cvCreateMat(1,6,CV_64F); |
|
_distortion_coeffs = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); |
|
_distortion_coeffs = &_distortion_coeffs_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(3,3,CV_64F); |
|
_distortion_coeffs = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); |
|
_distortion_coeffs = &_distortion_coeffs_orig; |
|
cvReleaseMat(&temp); |
|
//---------- |
|
temp = (CvMat*)temp_img; |
|
matR = temp; |
|
errcount += run_test_case( CV_StsAssert, "R data is not CvMat*" ); |
|
matR = &_R_orig; |
|
|
|
temp = cvCreateMat(4,3,CV_64F); |
|
matR = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); |
|
matR = &_R_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(3,2,CV_64F); |
|
matR = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); |
|
matR = &_R_orig; |
|
cvReleaseMat(&temp); |
|
|
|
//----------- |
|
temp = (CvMat*)temp_img; |
|
matP = temp; |
|
errcount += run_test_case( CV_StsAssert, "P data is not CvMat*" ); |
|
matP = &_P_orig; |
|
|
|
temp = cvCreateMat(4,3,CV_64F); |
|
matP = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid P data matrix size" ); |
|
matP = &_P_orig; |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(3,2,CV_64F); |
|
matP = temp; |
|
errcount += run_test_case( CV_StsAssert, "Invalid P data matrix size" ); |
|
matP = &_P_orig; |
|
cvReleaseMat(&temp); |
|
//------------ |
|
//C++ tests |
|
useCPlus = true; |
|
|
|
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); |
|
|
|
temp = cvCreateMat(2,2,CV_32FC2); |
|
src_points = cv::cvarrToMat(temp); |
|
errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" ); |
|
src_points = cv::cvarrToMat(&_src_points_orig); |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(1,4,CV_64FC2); |
|
src_points = cv::cvarrToMat(temp); |
|
errcount += run_test_case( CV_StsAssert, "Invalid input data matrix type" ); |
|
src_points = cv::cvarrToMat(&_src_points_orig); |
|
cvReleaseMat(&temp); |
|
|
|
src_points = cv::Mat(); |
|
errcount += run_test_case( CV_StsAssert, "Input data matrix is not continuous" ); |
|
src_points = cv::cvarrToMat(&_src_points_orig); |
|
cvReleaseMat(&temp); |
|
|
|
|
|
|
|
//------------ |
|
cvReleaseImage(&temp_img); |
|
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: |
|
//common |
|
cv::Size img_size; |
|
bool useCPlus; |
|
|
|
//C |
|
CvMat* _camera_mat; |
|
CvMat* matR; |
|
CvMat* _new_camera_mat; |
|
CvMat* _distortion_coeffs; |
|
CvMat* _mapx; |
|
CvMat* _mapy; |
|
|
|
|
|
//C++ |
|
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 () |
|
{ |
|
useCPlus = false; |
|
_camera_mat = matR = _new_camera_mat = _distortion_coeffs = _mapx = _mapy = NULL; |
|
} |
|
|
|
void CV_InitUndistortRectifyMapBadArgTest::run_func() |
|
{ |
|
if (useCPlus) |
|
{ |
|
cv::initUndistortRectifyMap(camera_mat,distortion_coeffs,R,new_camera_mat,img_size,mat_type,mapx,mapy); |
|
} |
|
else |
|
{ |
|
cvInitUndistortRectifyMap(_camera_mat,_distortion_coeffs,matR,_new_camera_mat,_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}; |
|
float* arr_mapx = new float[img_size.width*img_size.height]; |
|
float* arr_mapy = new float[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); |
|
CvMat _mapy_orig = cvMat(img_size.height,img_size.width,CV_32FC1,arr_mapy); |
|
int mat_type_orig = CV_32FC1; |
|
|
|
_camera_mat = &_camera_mat_orig; |
|
_distortion_coeffs = &_distortion_coeffs_orig; |
|
_new_camera_mat = &_new_camera_mat_orig; |
|
matR = &_R_orig; |
|
_mapx = &_mapx_orig; |
|
_mapy = &_mapy_orig; |
|
mat_type = mat_type_orig; |
|
|
|
//tests |
|
useCPlus = true; |
|
CvMat* temp; |
|
|
|
//C++ tests |
|
useCPlus = true; |
|
|
|
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; |
|
|
|
temp = cvCreateMat(3,2,CV_32FC1); |
|
camera_mat = cv::cvarrToMat(temp); |
|
errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); |
|
camera_mat = cv::cvarrToMat(&_camera_mat_orig); |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(4,3,CV_32FC1); |
|
R = cv::cvarrToMat(temp); |
|
errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); |
|
R = cv::cvarrToMat(&_R_orig); |
|
cvReleaseMat(&temp); |
|
|
|
temp = cvCreateMat(6,1,CV_32FC1); |
|
distortion_coeffs = cv::cvarrToMat(temp); |
|
errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); |
|
distortion_coeffs = cv::cvarrToMat(&_distortion_coeffs_orig); |
|
cvReleaseMat(&temp); |
|
|
|
//------------ |
|
delete[] arr_mapx; |
|
delete[] arr_mapy; |
|
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; |
|
bool useCPlus; |
|
|
|
//C |
|
CvMat* _camera_mat; |
|
CvMat* _new_camera_mat; |
|
CvMat* _distortion_coeffs; |
|
CvMat* _src; |
|
CvMat* _dst; |
|
|
|
|
|
//C++ |
|
cv::Mat camera_mat; |
|
cv::Mat new_camera_mat; |
|
cv::Mat distortion_coeffs; |
|
cv::Mat src; |
|
cv::Mat dst; |
|
|
|
}; |
|
|
|
CV_UndistortBadArgTest::CV_UndistortBadArgTest () |
|
{ |
|
useCPlus = false; |
|
_camera_mat = _new_camera_mat = _distortion_coeffs = _src = _dst = NULL; |
|
} |
|
|
|
void CV_UndistortBadArgTest::run_func() |
|
{ |
|
if (useCPlus) |
|
{ |
|
cv::undistort(src,dst,camera_mat,distortion_coeffs,new_camera_mat); |
|
} |
|
else |
|
{ |
|
cvUndistort2(_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}; |
|
float* arr_src = new float[img_size.width*img_size.height]; |
|
float* arr_dst = new float[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); |
|
CvMat _dst_orig = cvMat(img_size.height,img_size.width,CV_32FC1,arr_dst); |
|
|
|
_camera_mat = &_camera_mat_orig; |
|
_distortion_coeffs = &_distortion_coeffs_orig; |
|
_new_camera_mat = &_new_camera_mat_orig; |
|
_src = &_src_orig; |
|
_dst = &_dst_orig; |
|
|
|
//tests |
|
useCPlus = true; |
|
CvMat* temp; |
|
CvMat* temp1; |
|
|
|
//C tests |
|
useCPlus = false; |
|
|
|
temp = cvCreateMat(800,600,CV_32F); |
|
temp1 = cvCreateMat(800,601,CV_32F); |
|
_src = temp; |
|
_dst = temp1; |
|
errcount += run_test_case( CV_StsAssert, "Input and output data matrix sizes mismatch" ); |
|
_src = &_src_orig; |
|
_dst = &_dst_orig; |
|
cvReleaseMat(&temp); |
|
cvReleaseMat(&temp1); |
|
|
|
temp = cvCreateMat(800,600,CV_32F); |
|
temp1 = cvCreateMat(800,600,CV_64F); |
|
_src = temp; |
|
_dst = temp1; |
|
errcount += run_test_case( CV_StsAssert, "Input and output data matrix types mismatch" ); |
|
_src = &_src_orig; |
|
_dst = &_dst_orig; |
|
cvReleaseMat(&temp); |
|
cvReleaseMat(&temp1); |
|
|
|
//C++ tests |
|
useCPlus = true; |
|
|
|
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); |
|
|
|
//------------ |
|
delete[] arr_src; |
|
delete[] arr_dst; |
|
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. */
|
|
|