/*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 "cvtest.h"

class CV_UndistortPointsBadArgTest : public CvBadArgTest
{
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 (): 
    CvBadArgTest( "undistort-points-badarg", "cvUndistortPoints" )
{
    support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
}

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)
{
	//CvRNG* 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] = {img_size.width/4,img_size.height/4};
	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::Mat(&_camera_mat_orig);
	distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
	P = cv::Mat(&_P_orig);
	R = cv::Mat(&_R_orig);
	src_points = cv::Mat(&_src_points_orig);

	temp = cvCreateMat(2,2,CV_32FC2);
	src_points = cv::Mat(temp);
	errcount += run_test_case( CV_StsAssert, "Invalid input data matrix size" ); 
	src_points = cv::Mat(&_src_points_orig);
	cvReleaseMat(&temp);

	temp = cvCreateMat(1,4,CV_64FC2);
	src_points = cv::Mat(temp);
	errcount += run_test_case( CV_StsAssert, "Invalid input data matrix type" ); 
	src_points = cv::Mat(&_src_points_orig);
	cvReleaseMat(&temp);

	src_points = cv::Mat();
	errcount += run_test_case( CV_StsAssert, "Input data matrix is not continuous" ); 
	src_points = cv::Mat(&_src_points_orig);
	cvReleaseMat(&temp);



//------------
	cvReleaseImage(&temp_img);
	ts->set_failed_test_info(errcount > 0 ? CvTS::FAIL_BAD_ARG_CHECK : CvTS::OK);
}

CV_UndistortPointsBadArgTest default_new_camera_matrix_badarg_test;
//=========
class CV_InitUndistortRectifyMapBadArgTest : public CvBadArgTest
{
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 (): 
    CvBadArgTest( "undistort-undistort_rectify_map-badarg","cvInitUndistortRectifyMap" )
{
    support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
}

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::Mat(&_camera_mat_orig);
	distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
	new_camera_mat = cv::Mat(&_new_camera_mat_orig);
	R = cv::Mat(&_R_orig);
	mapx = cv::Mat(&_mapx_orig);
	mapy = cv::Mat(&_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::Mat(temp);
	errcount += run_test_case( CV_StsAssert, "Invalid camera data matrix size" ); 
	camera_mat = cv::Mat(&_camera_mat_orig);
	cvReleaseMat(&temp);

	temp = cvCreateMat(4,3,CV_32FC1);
	R = cv::Mat(temp);
	errcount += run_test_case( CV_StsAssert, "Invalid R data matrix size" ); 
	R = cv::Mat(&_R_orig);
	cvReleaseMat(&temp);

	temp = cvCreateMat(6,1,CV_32FC1);
	distortion_coeffs = cv::Mat(temp);
	errcount += run_test_case( CV_StsAssert, "Invalid distortion coefficients data matrix size" ); 
	distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
	cvReleaseMat(&temp);

//------------
	delete[] arr_mapx;
	delete[] arr_mapy;
	ts->set_failed_test_info(errcount > 0 ? CvTS::FAIL_BAD_ARG_CHECK : CvTS::OK);
}

CV_InitUndistortRectifyMapBadArgTest init_undistort_rectify_map_badarg_test;

//=========
class CV_UndistortBadArgTest : public CvBadArgTest
{
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 (): 
    CvBadArgTest( "undistort-badarg","cvUndistort2" )
{
    support_testing_modes = CvTS::CORRECTNESS_CHECK_MODE;
}

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::Mat(&_camera_mat_orig);
	distortion_coeffs = cv::Mat(&_distortion_coeffs_orig);
	new_camera_mat = cv::Mat(&_new_camera_mat_orig);
	src = cv::Mat(&_src_orig);
	dst = cv::Mat(&_dst_orig);

//------------
	delete[] arr_src;
	delete[] arr_dst;
	ts->set_failed_test_info(errcount > 0 ? CvTS::FAIL_BAD_ARG_CHECK : CvTS::OK);
}

CV_UndistortBadArgTest undistort_badarg_test;

/* End of file. */