bgsegm: Update test to use EXPECT_/ASSERT_

Author: Kumataro

modules/bgsegm/test/test_backgroundsubtractor_gbh.cpp

@@ -7,39 +7,24 @@
 
 namespace opencv_test { namespace {
 
-class CV_BackgroundSubtractorTest : public cvtest::BaseTest
-{
-public:
-    CV_BackgroundSubtractorTest();
-    void setMatType(int _mtype){ mtype = _mtype; }
-protected:
-    int mtype;
-    void run(int);
-};
-
-CV_BackgroundSubtractorTest::CV_BackgroundSubtractorTest()
-{
-}
-
 /**
  * This test checks the following:
  * (i) BackgroundSubtractorGMG can operate with matrices of various types and sizes
  * (ii) Training mode returns empty fgmask
  * (iii) End of training mode, and anomalous frame yields every pixel detected as FG
  */
-void CV_BackgroundSubtractorTest::run(int)
+typedef testing::TestWithParam<std::tuple<perf::MatDepth,int>> bgsubgmg_allTypes;
+TEST_P(bgsubgmg_allTypes, accuracy)
 {
-    int code = cvtest::TS::OK;
-    RNG& rng = ts->get_rng();
-    int depth = CV_MAT_DEPTH(mtype);
-    int width  = 64;
-    int height = 64;
+    const int depth = get<0>(GetParam());
+    const int ncn   = get<1>(GetParam());
+    const int mtype = CV_MAKETYPE(depth, ncn);
+    const int width  = 64;
+    const int height = 64;
+    RNG& rng = TS::ptr()->get_rng();
 
     Ptr<BackgroundSubtractorGMG> fgbg = createBackgroundSubtractorGMG();
-    Mat fgmask;
-
-    if (!fgbg)
-        CV_Error(Error::StsError,"Failed to create Algorithm\n");
+    ASSERT_TRUE(fgbg != nullptr) << "Failed to call createBackgroundSubtractorGMG()";
 
     /**
      * Set a few parameters
@@ -84,22 +69,24 @@ void CV_BackgroundSubtractorTest::run(int)
         maxd = rng.uniform(32, INT_MAX);
         mind = rng.uniform(INT_MIN, -32);
     }
-    else if (depth == CV_32F)
-    {
-        maxd = rng.uniform(32.0f, FLT_MAX);
-        mind = rng.uniform(-FLT_MAX, -32.0f);
-    }
-    else if (depth == CV_64F)
+    else
     {
-        maxd = rng.uniform(32.0, DBL_MAX);
-        mind = rng.uniform(-DBL_MAX, -32.0);
+        ASSERT_TRUE( (depth == CV_32F)||(depth == CV_64F) ) << "Unsupported depth";
+        const double harf = 0.5;
+        const double bias = 0.125; // = 32/256 (Like CV_8U)
+        maxd = rng.uniform(harf + bias, 1.0);
+        mind = rng.uniform(0.0, harf - bias );
     }
 
     fgbg->setMinVal(mind);
     fgbg->setMaxVal(maxd);
 
-    Mat simImage = Mat::zeros(height, width, mtype);
-    int numLearningFrames = 120;
+    Mat simImage(height, width, mtype);
+    Mat fgmask;
+
+    const Mat fullbg(height, width, CV_8UC1, cv::Scalar(0)); // all background.
+
+    const int numLearningFrames = 120;
     for (int i = 0; i < numLearningFrames; ++i)
     {
         /**
@@ -111,34 +98,15 @@ void CV_BackgroundSubtractorTest::run(int)
          * Feed simulated images into background subtractor
          */
         fgbg->apply(simImage,fgmask);
-        Mat fullbg = Mat::zeros(simImage.rows, simImage.cols, CV_8U);
 
-        //! fgmask should be entirely background during training
-        code = cvtest::cmpEps2( ts, fgmask, fullbg, 0, false, "The training foreground mask" );
-        if (code < 0)
-            ts->set_failed_test_info( code );
+        EXPECT_EQ(cv::norm(fgmask, fullbg, NORM_INF), 0) << "foreground mask should be entirely background during training";
     }
     //! generate last image, distinct from training images
     rng.fill(simImage, RNG::UNIFORM, mind, maxd);
-
     fgbg->apply(simImage,fgmask);
-    //! now fgmask should be entirely foreground
-    Mat fullfg = 255*Mat::ones(simImage.rows, simImage.cols, CV_8U);
-    code = cvtest::cmpEps2( ts, fgmask, fullfg, 255, false, "The final foreground mask" );
-    if (code < 0)
-    {
-        ts->set_failed_test_info( code );
-    }
 
-}
-
-typedef testing::TestWithParam<std::tuple<perf::MatDepth,int>> bgsubgmg_allTypes;
-TEST_P(bgsubgmg_allTypes, accuracy)
-{
-    const int mtype = CV_MAKETYPE(get<0>(GetParam()), get<1>(GetParam()));
-    CV_BackgroundSubtractorTest test;
-    test.setMatType(mtype);
-    test.safe_run();
+    const Mat fullfg(height, width, CV_8UC1, cv::Scalar(255)); // all foreground.
+    EXPECT_EQ(cv::norm(fgmask, fullfg, NORM_INF), 0) << "foreground mask should be entirely foreground finally";
 }
 
 INSTANTIATE_TEST_CASE_P(/**/,