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     42 
     43 #include "test_precomp.hpp"
     44 
     45 #include <string>
     46 #include <iostream>
     47 
     48 using namespace std;
     49 using namespace cv;
     50 
     51 class CV_GrabcutTest : public cvtest::BaseTest
     52 {
     53 public:
     54     CV_GrabcutTest();
     55     ~CV_GrabcutTest();
     56 protected:
     57     bool verify(const Mat& mask, const Mat& exp);
     58     void run(int);
     59 };
     60 
     61 CV_GrabcutTest::CV_GrabcutTest() {}
     62 CV_GrabcutTest::~CV_GrabcutTest() {}
     63 
     64 bool CV_GrabcutTest::verify(const Mat& mask, const Mat& exp)
     65 {
     66     const float maxDiffRatio = 0.005f;
     67     int expArea = countNonZero( exp );
     68     int nonIntersectArea = countNonZero( mask != exp );
     69 
     70     float curRatio = (float)nonIntersectArea / (float)expArea;
     71     ts->printf( cvtest::TS::LOG, "nonIntersectArea/expArea = %f\n", curRatio );
     72     return curRatio < maxDiffRatio;
     73 }
     74 
     75 void CV_GrabcutTest::run( int /* start_from */)
     76 {
     77     cvtest::DefaultRngAuto defRng;
     78 
     79     Mat img = imread(string(ts->get_data_path()) + "shared/airplane.png");
     80     Mat mask_prob = imread(string(ts->get_data_path()) + "grabcut/mask_prob.png", 0);
     81     Mat exp_mask1 = imread(string(ts->get_data_path()) + "grabcut/exp_mask1.png", 0);
     82     Mat exp_mask2 = imread(string(ts->get_data_path()) + "grabcut/exp_mask2.png", 0);
     83 
     84     if (img.empty() || (!mask_prob.empty() && img.size() != mask_prob.size()) ||
     85                        (!exp_mask1.empty() && img.size() != exp_mask1.size()) ||
     86                        (!exp_mask2.empty() && img.size() != exp_mask2.size()) )
     87     {
     88          ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
     89          return;
     90     }
     91 
     92     Rect rect(Point(24, 126), Point(483, 294));
     93     Mat exp_bgdModel, exp_fgdModel;
     94 
     95     Mat mask;
     96     mask = Scalar(0);
     97     Mat bgdModel, fgdModel;
     98     grabCut( img, mask, rect, bgdModel, fgdModel, 0, GC_INIT_WITH_RECT );
     99     grabCut( img, mask, rect, bgdModel, fgdModel, 2, GC_EVAL );
    100 
    101     // Multiply images by 255 for more visuality of test data.
    102     if( mask_prob.empty() )
    103     {
    104         mask.copyTo( mask_prob );
    105         imwrite(string(ts->get_data_path()) + "grabcut/mask_prob.png", mask_prob);
    106     }
    107     if( exp_mask1.empty() )
    108     {
    109         exp_mask1 = (mask & 1) * 255;
    110         imwrite(string(ts->get_data_path()) + "grabcut/exp_mask1.png", exp_mask1);
    111     }
    112 
    113     if (!verify((mask & 1) * 255, exp_mask1))
    114     {
    115         ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
    116         return;
    117     }
    118 
    119     mask = mask_prob;
    120     bgdModel.release();
    121     fgdModel.release();
    122     rect = Rect();
    123     grabCut( img, mask, rect, bgdModel, fgdModel, 0, GC_INIT_WITH_MASK );
    124     grabCut( img, mask, rect, bgdModel, fgdModel, 1, GC_EVAL );
    125 
    126     if( exp_mask2.empty() )
    127     {
    128         exp_mask2 = (mask & 1) * 255;
    129         imwrite(string(ts->get_data_path()) + "grabcut/exp_mask2.png", exp_mask2);
    130     }
    131 
    132     if (!verify((mask & 1) * 255, exp_mask2))
    133     {
    134         ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
    135         return;
    136     }
    137     ts->set_failed_test_info(cvtest::TS::OK);
    138 }
    139 
    140 TEST(Imgproc_GrabCut, regression) { CV_GrabcutTest test; test.safe_run(); }
    141 
    142 TEST(Imgproc_GrabCut, repeatability)
    143 {
    144     cvtest::TS& ts = *cvtest::TS::ptr();
    145 
    146     Mat image_1 = imread(string(ts.get_data_path()) + "grabcut/image1652.ppm", IMREAD_COLOR);
    147     Mat mask_1 = imread(string(ts.get_data_path()) + "grabcut/mask1652.ppm", IMREAD_GRAYSCALE);
    148     Rect roi_1(0, 0, 150, 150);
    149 
    150     Mat image_2 = image_1.clone();
    151     Mat mask_2 = mask_1.clone();
    152     Rect roi_2 = roi_1;
    153 
    154     Mat image_3 = image_1.clone();
    155     Mat mask_3 = mask_1.clone();
    156     Rect roi_3 = roi_1;
    157 
    158     Mat bgdModel_1, fgdModel_1;
    159     Mat bgdModel_2, fgdModel_2;
    160     Mat bgdModel_3, fgdModel_3;
    161 
    162     theRNG().state = 12378213;
    163     grabCut(image_1, mask_1, roi_1, bgdModel_1, fgdModel_1, 1, GC_INIT_WITH_MASK);
    164     theRNG().state = 12378213;
    165     grabCut(image_2, mask_2, roi_2, bgdModel_2, fgdModel_2, 1, GC_INIT_WITH_MASK);
    166     theRNG().state = 12378213;
    167     grabCut(image_3, mask_3, roi_3, bgdModel_3, fgdModel_3, 1, GC_INIT_WITH_MASK);
    168 
    169     EXPECT_EQ(0, countNonZero(mask_1 != mask_2));
    170     EXPECT_EQ(0, countNonZero(mask_1 != mask_3));
    171     EXPECT_EQ(0, countNonZero(mask_2 != mask_3));
    172 }
    173