opencv/modules/imgproc/test/test_grabcut.cpp

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#include "test_precomp.hpp"

#include <string>
#include <iostream>

using namespace std;
using namespace cv;

class CV_GrabcutTest : public cvtest::BaseTest
{
public:
    CV_GrabcutTest();
    ~CV_GrabcutTest();    
protected:
    bool verify(const Mat& mask, const Mat& exp);
    void run(int);    
};

CV_GrabcutTest::CV_GrabcutTest() {}
CV_GrabcutTest::~CV_GrabcutTest() {}

bool CV_GrabcutTest::verify(const Mat& mask, const Mat& exp)
{
    const float maxDiffRatio = 0.005f;
    int expArea = countNonZero( exp );
    int nonIntersectArea = countNonZero( mask != exp );

    float curRatio = (float)nonIntersectArea / (float)expArea;
    ts->printf( cvtest::TS::LOG, "nonIntersectArea/expArea = %f\n", curRatio );
    return curRatio < maxDiffRatio;
}

void CV_GrabcutTest::run( int /* start_from */)
{       
    cvtest::DefaultRngAuto defRng;
        
    Mat img = imread(string(ts->get_data_path()) + "shared/airplane.jpg");    
    Mat mask_prob = imread(string(ts->get_data_path()) + "grabcut/mask_prob.png", 0);
    Mat exp_mask1 = imread(string(ts->get_data_path()) + "grabcut/exp_mask1.png", 0);
    Mat exp_mask2 = imread(string(ts->get_data_path()) + "grabcut/exp_mask2.png", 0);
    
    if (img.empty() || (!mask_prob.empty() && img.size() != mask_prob.size()) ||
                       (!exp_mask1.empty() && img.size() != exp_mask1.size()) ||
                       (!exp_mask2.empty() && img.size() != exp_mask2.size()) )
    {
         ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);         
         return;
    }
    
    Rect rect(Point(24, 126), Point(483, 294));
    Mat exp_bgdModel, exp_fgdModel;

    Mat mask;
    mask = Scalar(0);
    Mat bgdModel, fgdModel;
    grabCut( img, mask, rect, bgdModel, fgdModel, 0, GC_INIT_WITH_RECT );    
    grabCut( img, mask, rect, bgdModel, fgdModel, 2, GC_EVAL );

    // Multiply images by 255 for more visuality of test data.
    if( mask_prob.empty() )
    {
        mask.copyTo( mask_prob );
        imwrite(string(ts->get_data_path()) + "grabcut/mask_prob.png", mask_prob);
    }
    if( exp_mask1.empty() )
    {
        exp_mask1 = (mask & 1) * 255;
        imwrite(string(ts->get_data_path()) + "grabcut/exp_mask1.png", exp_mask1);
    }
    
    if (!verify((mask & 1) * 255, exp_mask1))
    {        
        ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);        
        return;
    }
    
    mask = mask_prob;
    bgdModel.release();
    fgdModel.release(); 
    rect = Rect();
    grabCut( img, mask, rect, bgdModel, fgdModel, 0, GC_INIT_WITH_MASK );
    grabCut( img, mask, rect, bgdModel, fgdModel, 1, GC_EVAL );

    if( exp_mask2.empty() )
    {
        exp_mask2 = (mask & 1) * 255;
        imwrite(string(ts->get_data_path()) + "grabcut/exp_mask2.png", exp_mask2);
    }
    
    if (!verify((mask & 1) * 255, exp_mask2))
    {
        ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);        
        return;
    }                    
    ts->set_failed_test_info(cvtest::TS::OK);    
}

TEST(Imgproc_GrabCut, regression) { CV_GrabcutTest test; test.safe_run(); }