Loading autocnet/matcher/tests/test_outlier_detector.py +2 −2 Original line number Diff line number Diff line Loading @@ -19,7 +19,7 @@ class TestOutlierDetector(unittest.TestCase): [1.25, 10.1, 2.3, 2.4, 1.2, 5.5, 5.7]]).T, columns=['source_idx', 'destination_idx', 'distance']) mask = cpu_outlier_detector.distance_ratio(df, ratio=0.8) mask = cpu_outlier_detector.distance_ratio(None, df, ratio=0.8) self.assertEqual(2, sum(mask)) def test_distance_ratio_unique(self): Loading @@ -28,7 +28,7 @@ class TestOutlierDetector(unittest.TestCase): df = pd.DataFrame(data, columns=['source_image', 'source_idx', 'destination_image', 'destination_idx', 'distance']) mask = cpu_outlier_detector.distance_ratio(df, ratio=0.9) mask = cpu_outlier_detector.distance_ratio(None, df, ratio=0.9) self.assertTrue(mask.all() == False) def test_mirroring_test(self): Loading Loading
autocnet/matcher/tests/test_outlier_detector.py +2 −2 Original line number Diff line number Diff line Loading @@ -19,7 +19,7 @@ class TestOutlierDetector(unittest.TestCase): [1.25, 10.1, 2.3, 2.4, 1.2, 5.5, 5.7]]).T, columns=['source_idx', 'destination_idx', 'distance']) mask = cpu_outlier_detector.distance_ratio(df, ratio=0.8) mask = cpu_outlier_detector.distance_ratio(None, df, ratio=0.8) self.assertEqual(2, sum(mask)) def test_distance_ratio_unique(self): Loading @@ -28,7 +28,7 @@ class TestOutlierDetector(unittest.TestCase): df = pd.DataFrame(data, columns=['source_image', 'source_idx', 'destination_image', 'destination_idx', 'distance']) mask = cpu_outlier_detector.distance_ratio(df, ratio=0.9) mask = cpu_outlier_detector.distance_ratio(None, df, ratio=0.9) self.assertTrue(mask.all() == False) def test_mirroring_test(self): Loading