155 lines
5.0 KiB
C++
155 lines
5.0 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 "test_chessboardgenerator.hpp"
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#include "opencv2/calib3d/calib3d_c.h"
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#include <limits>
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using namespace std;
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using namespace cv;
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class CV_ChessboardDetectorBadArgTest : public cvtest::BadArgTest
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{
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public:
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CV_ChessboardDetectorBadArgTest();
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protected:
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void run(int);
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bool checkByGenerator();
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bool cpp;
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/* cpp interface */
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Mat img;
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Size pattern_size;
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int flags;
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vector<Point2f> corners;
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/* c interface */
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CvMat arr;
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CvPoint2D32f* out_corners;
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int* out_corner_count;
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/* c interface draw corners */
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bool drawCorners;
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CvMat drawCorImg;
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bool was_found;
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void run_func()
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{
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if (cpp)
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findChessboardCorners(img, pattern_size, corners, flags);
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else
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if (!drawCorners)
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cvFindChessboardCorners( &arr, pattern_size, out_corners, out_corner_count, flags );
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else
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cvDrawChessboardCorners( &drawCorImg, pattern_size,
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(CvPoint2D32f*)(corners.empty() ? 0 : &corners[0]),
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(int)corners.size(), was_found);
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}
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};
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CV_ChessboardDetectorBadArgTest::CV_ChessboardDetectorBadArgTest()
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{
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cpp = false;
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flags = 0;
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out_corners = NULL;
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out_corner_count = NULL;
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drawCorners = was_found = false;
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}
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/* ///////////////////// chess_corner_test ///////////////////////// */
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void CV_ChessboardDetectorBadArgTest::run( int /*start_from */)
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{
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Mat bg(800, 600, CV_8U, Scalar(0));
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Mat_<float> camMat(3, 3);
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camMat << 300.f, 0.f, bg.cols/2.f, 0, 300.f, bg.rows/2.f, 0.f, 0.f, 1.f;
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Mat_<float> distCoeffs(1, 5);
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distCoeffs << 1.2f, 0.2f, 0.f, 0.f, 0.f;
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ChessBoardGenerator cbg(Size(8,6));
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vector<Point2f> exp_corn;
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Mat cb = cbg(bg, camMat, distCoeffs, exp_corn);
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/* /*//*/ */
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int errors = 0;
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flags = CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE;
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cpp = true;
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img = cb.clone();
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pattern_size = Size(2,2);
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errors += run_test_case( CV_StsOutOfRange, "Invlid pattern size" );
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pattern_size = cbg.cornersSize();
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cb.convertTo(img, CV_32F);
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errors += run_test_case( CV_StsUnsupportedFormat, "Not 8-bit image" );
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cv::merge(vector<Mat>(2, cb), img);
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errors += run_test_case( CV_StsUnsupportedFormat, "2 channel image" );
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cpp = false;
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drawCorners = false;
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img = cb.clone();
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arr = img;
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out_corner_count = 0;
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out_corners = 0;
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errors += run_test_case( CV_StsNullPtr, "Null pointer to corners" );
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drawCorners = true;
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Mat cvdrawCornImg(img.size(), CV_8UC2);
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drawCorImg = cvdrawCornImg;
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was_found = true;
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errors += run_test_case( CV_StsUnsupportedFormat, "2 channel image" );
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if (errors)
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ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
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else
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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TEST(Calib3d_ChessboardDetector, badarg) { CV_ChessboardDetectorBadArgTest test; test.safe_run(); }
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/* End of file. */
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