message: features2d: add verbose messages into tests
  To investigate sporadic failures of Features2d_FLANN_Auto.regression test.
diff: @@ -112,11 +112,7 @@ int NearestNeighborTest::checkFind( const Mat& data )
  }
  double correctPerc = correctMatches / (double)pointsCount;
  - if (correctPerc < .75)
  - {
  - ts->printf( cvtest::TS::LOG, "correct_perc = %d\n", correctPerc );
  - code = cvtest::TS::FAIL_BAD_ACCURACY;
  - }
  + EXPECT_GE(correctPerc, .75) << "correctMatches=" << correctMatches << " pointsCount=" << pointsCount;
  }
  return code;
  @@ -152,6 +148,7 @@ void NearestNeighborTest::run( int /*start_from*/ ) {
  releaseModel();
  + if (::testing::Test::HasFailure()) code = cvtest::TS::FAIL_BAD_ACCURACY;
  ts->set_failed_test_info( code );
  }
  @@ -201,10 +198,9 @@ int CV_FlannTest::knnSearch( Mat& points, Mat& neighbors )
  }
  // compare results
  - if( cvtest::norm( neighbors, neighbors1, NORM_L1 ) != 0 )
  - return cvtest::TS::FAIL_BAD_ACCURACY;
  + EXPECT_LE(cvtest::norm(neighbors, neighbors1, NORM_L1), 0);
  - return cvtest::TS::OK;
  + return ::testing::Test::HasFailure() ? cvtest::TS::FAIL_BAD_ACCURACY : cvtest::TS::OK;
  }
  int CV_FlannTest::radiusSearch( Mat& points, Mat& neighbors )
  @@ -232,11 +228,11 @@ int CV_FlannTest::radiusSearch( Mat& points, Mat& neighbors )
  for( j = 0; it != indices.end(); ++it, j++ )
  neighbors1.at<int>(i,j) = *it;
  }
  +
  // compare results
  - if( cvtest::norm( neighbors, neighbors1, NORM_L1 ) != 0 )
  - return cvtest::TS::FAIL_BAD_ACCURACY;
  + EXPECT_LE(cvtest::norm(neighbors, neighbors1, NORM_L1), 0);
  - return cvtest::TS::OK;
  + return ::testing::Test::HasFailure() ? cvtest::TS::FAIL_BAD_ACCURACY : cvtest::TS::OK;
  }
  void CV_FlannTest::releaseModel()
  