Loading functional_tests/test_two_image.py +3 −3 Original line number Diff line number Diff line Loading @@ -72,12 +72,12 @@ class TestTwoImageMatching(unittest.TestCase): for source, destination, edge in cg.edges_iter(data=True): # Perform the symmetry check self.assertIn(edge.masks['symmetry'].sum(), range(200, 400)) self.assertIn(edge.masks['symmetry'].sum(), range(100, 400)) # Perform the ratio test self.assertIn(edge.masks['ratio'].sum(), range(200, 300)) self.assertIn(edge.masks['ratio'].sum(), range(100, 300)) # Range needs to be set self.assertIn(edge.masks['fundamental'].sum(), range(200, 300)) self.assertIn(edge.masks['fundamental'].sum(), range(100, 300)) # Step: Compute the homographies and apply RANSAC cg.compute_homographies(clean_keys=['symmetry', 'ratio']) Loading Loading
functional_tests/test_two_image.py +3 −3 Original line number Diff line number Diff line Loading @@ -72,12 +72,12 @@ class TestTwoImageMatching(unittest.TestCase): for source, destination, edge in cg.edges_iter(data=True): # Perform the symmetry check self.assertIn(edge.masks['symmetry'].sum(), range(200, 400)) self.assertIn(edge.masks['symmetry'].sum(), range(100, 400)) # Perform the ratio test self.assertIn(edge.masks['ratio'].sum(), range(200, 300)) self.assertIn(edge.masks['ratio'].sum(), range(100, 300)) # Range needs to be set self.assertIn(edge.masks['fundamental'].sum(), range(200, 300)) self.assertIn(edge.masks['fundamental'].sum(), range(100, 300)) # Step: Compute the homographies and apply RANSAC cg.compute_homographies(clean_keys=['symmetry', 'ratio']) Loading