Loading autocnet/graph/node.py +2 −2 Original line number Diff line number Diff line Loading @@ -280,7 +280,7 @@ class Node(dict, MutableMapping): returns coordinates using numpy array accessors. """ index = index.astype(np.int) return self._keypoints.values[index,:2] return self.keypoints.values[index,:2] @staticmethod def _extract_features(array, *args, **kwargs): Loading Loading @@ -484,7 +484,7 @@ class Node(dict, MutableMapping): # Add the point object onto the node point = Point(pid) #print(g[['source_image', 'destination_image']]) #covered_edges = list(map(tuple, g[['source_image', 'destination_image']].values)) covered_edges = list(map(tuple, g[['source_image', 'destination_image']].values)) s = g['source_image'].iat[0] d = g['destination_image'].iat[0] # The reference edge that we are deepening with Loading Loading
autocnet/graph/node.py +2 −2 Original line number Diff line number Diff line Loading @@ -280,7 +280,7 @@ class Node(dict, MutableMapping): returns coordinates using numpy array accessors. """ index = index.astype(np.int) return self._keypoints.values[index,:2] return self.keypoints.values[index,:2] @staticmethod def _extract_features(array, *args, **kwargs): Loading Loading @@ -484,7 +484,7 @@ class Node(dict, MutableMapping): # Add the point object onto the node point = Point(pid) #print(g[['source_image', 'destination_image']]) #covered_edges = list(map(tuple, g[['source_image', 'destination_image']].values)) covered_edges = list(map(tuple, g[['source_image', 'destination_image']].values)) s = g['source_image'].iat[0] d = g['destination_image'].iat[0] # The reference edge that we are deepening with Loading