test_inpaint.cpp 4.01 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//  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.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
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#include "test_precomp.hpp"
#include <string>

using namespace std;
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using namespace cv;
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class CV_InpaintTest : public cvtest::BaseTest
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{
public:
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    CV_InpaintTest();
    ~CV_InpaintTest();
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protected:
    void run(int);
};

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CV_InpaintTest::CV_InpaintTest()
{
}
CV_InpaintTest::~CV_InpaintTest() {}
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void CV_InpaintTest::run( int )
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{
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    string folder = string(ts->get_data_path()) + "inpaint/";
    Mat orig = imread(folder + "orig.png");
    Mat exp1 = imread(folder + "exp1.png");
    Mat exp2 = imread(folder + "exp2.png");
    Mat mask = imread(folder + "mask.png");
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    if (orig.empty() || exp1.empty() || exp2.empty() || mask.empty())
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    {
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        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
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        return;
    }

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    Mat inv_mask;
    mask.convertTo(inv_mask, CV_8UC3, -1.0, 255.0);
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    Mat mask1ch;
    cv::cvtColor(mask, mask1ch, COLOR_BGR2GRAY);

    Mat test = orig.clone();
    test.setTo(Scalar::all(255), mask1ch);
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    Mat res1, res2;
    inpaint( test, mask1ch, res1, 5, INPAINT_NS );
    inpaint( test, mask1ch, res2, 5, INPAINT_TELEA );

    Mat diff1, diff2;
    absdiff( orig, res1, diff1 );
    absdiff( orig, res2, diff2 );

    double n1 = cvtest::norm(diff1.reshape(1), NORM_INF, inv_mask.reshape(1));
    double n2 = cvtest::norm(diff2.reshape(1), NORM_INF, inv_mask.reshape(1));

    if (n1 != 0 || n2 != 0)
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    {
        ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
        return;
    }
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    absdiff( exp1, res1, diff1 );
    absdiff( exp2, res2, diff2 );

    n1 = cvtest::norm(diff1.reshape(1), NORM_INF, mask.reshape(1));
    n2 = cvtest::norm(diff2.reshape(1), NORM_INF, mask.reshape(1));

    const int jpeg_thres = 3;
    if (n1 > jpeg_thres || n2 > jpeg_thres)
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    {
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        ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
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        return;
    }
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    ts->set_failed_test_info(cvtest::TS::OK);
}

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TEST(Photo_Inpaint, regression) { CV_InpaintTest test; test.safe_run(); }