File: test_chesscorners_badarg.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//  If you do not agree to this license, do not download, install,
//  copy or use the software.
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//
//                        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:
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//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
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// loss of use, data, or profits; or business interruption) however caused
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#include "test_precomp.hpp"
#include "test_chessboardgenerator.hpp"
#include "opencv2/calib3d/calib3d_c.h"

namespace opencv_test { namespace {

class CV_ChessboardDetectorBadArgTest : public cvtest::BadArgTest
{
public:
    CV_ChessboardDetectorBadArgTest() { flags0 = 0; }
protected:
    void run(int);
    bool checkByGenerator();

    Mat img;
    Size pattern_size, pattern_size0;
    int flags, flags0;
    vector<Point2f> corners;
    _InputArray img_arg;
    _OutputArray corners_arg;

    void initArgs()
    {
        img_arg = img;
        corners_arg = corners;
        pattern_size = pattern_size0;
        flags = flags0;
    }

    void run_func()
    {
        findChessboardCorners(img_arg, pattern_size, corners_arg, flags);
    }
};

/* ///////////////////// chess_corner_test ///////////////////////// */
void CV_ChessboardDetectorBadArgTest::run( int /*start_from */)
{
    Mat bg(800, 600, CV_8U, Scalar(0));
    Mat_<float> camMat(3, 3);
    camMat << 300.f, 0.f, bg.cols/2.f, 0, 300.f, bg.rows/2.f, 0.f, 0.f, 1.f;
    Mat_<float> distCoeffs(1, 5);
    distCoeffs << 1.2f, 0.2f, 0.f, 0.f, 0.f;

    ChessBoardGenerator cbg(Size(8,6));
    vector<Point2f> exp_corn;
    Mat cb = cbg(bg, camMat, distCoeffs, exp_corn);

    /* /*//*/ */
    int errors = 0;
    flags = CV_CALIB_CB_ADAPTIVE_THRESH | CV_CALIB_CB_NORMALIZE_IMAGE;

    img = cb.clone();
    initArgs();
    pattern_size = Size(2,2);
    errors += run_test_case( Error::StsOutOfRange, "Invalid pattern size" );

    pattern_size = cbg.cornersSize();

    cb.convertTo(img, CV_32F);
    errors += run_test_case( Error::StsUnsupportedFormat, "Not 8-bit image" );

    cv::merge(vector<Mat>(2, cb), img);
    errors += run_test_case( Error::StsUnsupportedFormat, "2 channel image" );

    if (errors)
        ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
    else
        ts->set_failed_test_info(cvtest::TS::OK);
}

TEST(Calib3d_ChessboardDetector, badarg) { CV_ChessboardDetectorBadArgTest test; test.safe_run(); }

}} // namespace
/* End of file. */