Loading autocnet/graph/network.py +19 −8 Original line number Diff line number Diff line Loading @@ -404,40 +404,51 @@ class CandidateGraph(nx.Graph): def ratio_checks(self, *args, **kwargs): ''' Apply a ratio check to all edges in the graph See Also -------- matcher.outlier_detector.DistanceRatio.compute outlier_detector.DistanceRatio.compute DistanceRatio.compute autocnet.matcher.outlier_detector.DistanceRatio.compute ''' self.apply_func_to_edges('ratio_check', *args, **kwargs) def compute_homographies(self, *args, **kwargs): ''' Compute homographies for all edges using identical parameters Parameters: method = '', clean_keys = [], pid=None See Also -------- autocnet.graph.edge.Edge.compute_homography autocnet.matcher.outlier_detector.compute_homography ''' self.apply_func_to_edges('compute_homography', *args, **kwargs) def compute_fundamental_matrices(self, *args, **kwargs): ''' Compute fundmental matrices for all edges using identical parameters Parameters: clean_keys=[], method = '', reproj_threshold=5.0, confidence=0.99 See Also -------- autocnet.matcher.outlier_detector.compute_fundamental_matrix ''' self.apply_func_to_edges('compute_fundamental_matrix', *args, **kwargs) def subpixel_register(self, *args, **kwargs): ''' Compute subpixel offsets for all edges using identical parameters Parameters: clean_keys=[], threshold=0.8, upsampling=10, template_size=9, search_size=27, tiled=False, max_x_shift=1.0, max_y_shift=1.0 See Also -------- autocnet.graph.edge.Edge.subpixel_register ''' self.apply_func_to_edges('subpixel_register', *args, **kwargs) def suppress(self, *args, **kwargs): ''' Apply a metric of point suppression to the graph Parameters: clean_keys=[], min_radius=2, k=50, error_k=0.1 See Also -------- class autocnet.matcher.outlier_detector.SpatialSuppression ''' self.apply_func_to_edges('suppress', *args, **kwargs) Loading Loading
autocnet/graph/network.py +19 −8 Original line number Diff line number Diff line Loading @@ -404,40 +404,51 @@ class CandidateGraph(nx.Graph): def ratio_checks(self, *args, **kwargs): ''' Apply a ratio check to all edges in the graph See Also -------- matcher.outlier_detector.DistanceRatio.compute outlier_detector.DistanceRatio.compute DistanceRatio.compute autocnet.matcher.outlier_detector.DistanceRatio.compute ''' self.apply_func_to_edges('ratio_check', *args, **kwargs) def compute_homographies(self, *args, **kwargs): ''' Compute homographies for all edges using identical parameters Parameters: method = '', clean_keys = [], pid=None See Also -------- autocnet.graph.edge.Edge.compute_homography autocnet.matcher.outlier_detector.compute_homography ''' self.apply_func_to_edges('compute_homography', *args, **kwargs) def compute_fundamental_matrices(self, *args, **kwargs): ''' Compute fundmental matrices for all edges using identical parameters Parameters: clean_keys=[], method = '', reproj_threshold=5.0, confidence=0.99 See Also -------- autocnet.matcher.outlier_detector.compute_fundamental_matrix ''' self.apply_func_to_edges('compute_fundamental_matrix', *args, **kwargs) def subpixel_register(self, *args, **kwargs): ''' Compute subpixel offsets for all edges using identical parameters Parameters: clean_keys=[], threshold=0.8, upsampling=10, template_size=9, search_size=27, tiled=False, max_x_shift=1.0, max_y_shift=1.0 See Also -------- autocnet.graph.edge.Edge.subpixel_register ''' self.apply_func_to_edges('subpixel_register', *args, **kwargs) def suppress(self, *args, **kwargs): ''' Apply a metric of point suppression to the graph Parameters: clean_keys=[], min_radius=2, k=50, error_k=0.1 See Also -------- class autocnet.matcher.outlier_detector.SpatialSuppression ''' self.apply_func_to_edges('suppress', *args, **kwargs) Loading